<![CDATA[Statistics Seminar]]> 27187 Georgia Tech Statistics Seminar Series
Thursday, November 14, 2013 at 11:00 AM
Executive classroom, ISyE Main Building

Dimensional Analysis and Its Applications in Statistics
Dennis K. J. Lin
University Distinguished Professor
Department of Statistics
The Pennsylvania State University

Abstract: Dimensional Analysis (DA) is a fundamental method in the engineering and physical sciences for analytically reducing the number of experimental variables prior to the experimentation.  The principle use of dimensional analysis is to reduce from a study of the dimensions of the variables on the form of any possible relationship between those variables.  The method is of great generality.  In this talk, an overview/introduction of DA will be first given.  A basic guideline for applying DA will be proposed, using examples for illustration.  Some initial ideas on using DA for Data Analysis and Data Collection will be discussed.  Future research issues will be proposed.

Short Bio: Dr. Dennis Lin is a University Distinguished Professor of Supply Chain and Statistics at Penn State University.  His research interests are quality engineering, industrial statistics, data mining and Statistical Inference.  He has published near 200 professional (SCI/SSCI) papers in a wide variety of prestigious journals (such as, Technometrics, Annals of Statistics, Biometrika, Statistica Sinica, etc).  He has served as a co-editor for ASMBI as well as an associate editor for various (about 10) top journals.  Dr. Lin is an elected fellow of ASA, IMS and ASQ, an elected member of ISI, a fellow of RSS, and a lifetime member of ICSA.  He is the recipient of the 2004 Faculty Scholar Medal Award at Penn State University.  He is also an honorary chair professor for various universities, including a Chang-Jiang Scholar at Renmin University of China.  His recent awards include Don Owen Award (ASA), Youden Address (ASQ) and Loutit Lecturer (SSC).

]]> Anita Race 1 1384171845 2013-11-11 12:10:45 1492118633 2017-04-13 21:23:53 0 0 event 2013-11-14T10:00:00-05:00 2013-11-14T11:00:00-05:00 2013-11-14T11:00:00-05:00 2013-11-14 15:00:00 2013-11-14 16:00:00 2013-11-14 16:00:00 2013-11-14T10:00:00-05:00 2013-11-14T11:00:00-05:00 America/New_York America/New_York datetime 2013-11-14 10:00:00 2013-11-14 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> Host: Dr. Jeff Wu (jeffwu@isye.gatech.edu)

<![CDATA[Statistics Seminar]]> 27187 Georgia Tech Statistics Seminar Series
Tuesday, November 19, 2013 at 12:00 noon
Executive classroom, ISyE Main Building

Calibration, Error, and Extrapolative Predictions with Computational Models
Dave Higdon
Statistical Sciences Group
Los Alamos National Laboratory

Abstract: In the presence of relevant physical observations, one can usually calibrate a computer model, and even estimate systematic discrepancies of the model from reality.  Estimating and quantifying the uncertainty in this model discrepancy can lead to reliable predictions - so long as the prediction "is similar to" the available physical observations. Exactly how to define "similar" has proven difficult in many applications. Clearly it depends on how well the computational model captures the relevant physics in the system, as well as how portable the model discrepancy is in going from the available physical data to the prediction.  This talk will discuss these concepts using computational models ranging from simple to very complex.

Short Bio: Dr. Higdon is a scientist in the statistical sciences group at the Los Alamos National Laboratory, Los Alamos, NM. He served as the group leader from 2005-2010. His research interests are in inference from combining computer simulation models with data from physical experiments or observations; modeling non-standard dependence structure; spatial modeling; inverse problems; image modeling; multiscale models; Monte Carlo methods; and applications in environmental and physical sciences. He received the Jack Youden prize from ASQ in 2006. He has started the ASA interest group on uncertainty quantification in 2010 and has served in the editorial board of several statistical journals.

]]> Anita Race 1 1384511741 2013-11-15 10:35:41 1492118631 2017-04-13 21:23:51 0 0 event 2013-11-19T11:00:00-05:00 2013-11-19T12:00:00-05:00 2013-11-19T12:00:00-05:00 2013-11-19 16:00:00 2013-11-19 17:00:00 2013-11-19 17:00:00 2013-11-19T11:00:00-05:00 2013-11-19T12:00:00-05:00 America/New_York America/New_York datetime 2013-11-19 11:00:00 2013-11-19 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> Dr. Roshan Vengazhiyil (roshan@gatech.edu)

<![CDATA[Faculty Candidate Seminar]]> 27187 TITLE:  Money Management with Performance Fees

SPEAKER:  Daniel Mitchell


Hedge fund contracts are generally characterized by a flat fee, a performance fee and what are
know as high-water-mark provisions. This paper describes and characterizes these contract
features and analyzes how they influence the hedge fund's risk choices. We model the hedge
fund's portfolio choice as a stochastic control problem with hybrid discrete and continuous controls. We develop a computational method to solve this class of problems and prove its convergence.

]]> Anita Race 1 1386234965 2013-12-05 09:16:05 1475892357 2016-10-08 02:05:57 0 0 event 2013-12-10T10:00:00-05:00 2013-12-10T11:00:00-05:00 2013-12-10T11:00:00-05:00 2013-12-10 15:00:00 2013-12-10 16:00:00 2013-12-10 16:00:00 2013-12-10T10:00:00-05:00 2013-12-10T11:00:00-05:00 America/New_York America/New_York datetime 2013-12-10 10:00:00 2013-12-10 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> Jennifer Harris


<![CDATA[Visiting Guest Seminar]]> 27187 TITLE:  Logistics Issues in Public Health

SPEAKER: Dr. Paul Griffin


In this presentation, we discuss some of the unique aspects of logistics modeling for public
health settings. We illustrate using two examples: the impact of Medicaid expansion on
access and coverage for vulnerable populations and the distribution of fresh fruits and
vegetables to help address obesity. In each example we discuss approaches for estimation,
location, and distribution.

]]> Anita Race 1 1386328148 2013-12-06 11:09:08 1475892357 2016-10-08 02:05:57 0 0 event 2013-12-13T10:00:00-05:00 2013-12-13T11:00:00-05:00 2013-12-13T11:00:00-05:00 2013-12-13 15:00:00 2013-12-13 16:00:00 2013-12-13 16:00:00 2013-12-13T10:00:00-05:00 2013-12-13T11:00:00-05:00 America/New_York America/New_York datetime 2013-12-13 10:00:00 2013-12-13 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> Jennifer Harris


<![CDATA[Statistics Seminar]]> 27187  

Some Examples of Regularized Matrix Decomposition

Jianhua Huang


Department of Statistics

Texas A&M University

Abstract: In this talk, I will review some of my recent works on regularized matrix decomposition. Depending on the application, the matrix in consideration can be a data matrix, a latent canonical parameter matrix of an exponential family distribution, or the regression coefficient matrix of a multivariate regression. I will use the penalized least squares or penalized maximum likelihood method as a common approach for these matrix decomposition problems. I will discuss use of various penalty functions for regularization purpose, including sparsity-inducing penalty, roughness penalty, and their combinations. Governed by the structure of the problem, the penalty can be designed for one-way or two-way regularization. I will illustrate the key ideas using some examples, including functional principal components analysis, biclustering, reconstruction of MEG/EEG source signals, and protein structure clustering using protein backbone angular distributions. This talk is based on joint works with Andreas Buja, Xin Gao, Seokho Lee, Mehdi Maadooliat, Haipeng Shen, Siva Tian, and Lan Zhou.


Brief bio: Dr. Jianhua Huang received his MS degree in Probability & Statistics from Beijing University and his Ph.D. in Statistics from University of California at Berkeley. He previously held a position at the Wharton School, University of Pennsylvania. He is currently a professor in Department of Statistics at Texas A&M University and an adjunct professor of MD Anderson Cancer Center. Dr. Huang is an active researcher in the areas of statistical machine learning, nonparametric and semiparametric methods, functional data analysis, and statistics applications in business and engineering. He has published more than 70 refereed papers. He is a fellow of ASA and IMS.

]]> Anita Race 1 1382604078 2013-10-24 08:41:18 1475892326 2016-10-08 02:05:26 0 0 event 2013-10-29T12:00:00-04:00 2013-10-29T13:00:00-04:00 2013-10-29T13:00:00-04:00 2013-10-29 16:00:00 2013-10-29 17:00:00 2013-10-29 17:00:00 2013-10-29T12:00:00-04:00 2013-10-29T13:00:00-04:00 America/New_York America/New_York datetime 2013-10-29 12:00:00 2013-10-29 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Dr. Yao Xie <yao.xie@isye.gatech.edu>

<![CDATA[Distinguished Scholar Seminar]]> 27187 Towards Physical Internet Enabled Interconnected Logistics

Benoit Montreuil
Canada Research Chair in Enterprise Engineering
Laval University, Québec, Canada

We have recently introduced the Physical Internet to enable an order-of-magnitude improvement of the worldwide economic, environmental and societal efficiency and sustainability of moving, deploying, realizing, supplying and using physical objects. The Physical Internet is an open global logistic system founded on physical, digital and operational interconnectivity enabled through encapsulation, interfaces and protocols.  Building on the Digital Internet metaphor, it aims to allow logistics, supply chain and transportation to evolve from the current integrated era, beyond the emerging collaborative era, towards an interconnected era.

In this presentation, we first overview the current global logistics efficiency and sustainability challenges, and describe the key concepts underpinning the Physical Internet and Interconnected Logistics. Then we proceed to describe the current international state of research on advancing their conceptualization; assessing their potentiality through analytical, optimization and simulation models; engineering their constituents, and validating their feasibility in the field.

Through the presentation, we put a particular emphasis on the research results and avenues most pertinent to the Coca-Cola Chair in Material Handling and Distribution, as highlighted by the following two examples. First, The Physical Internet enables a new generation of handling, transport and storage technologies adapted to exploiting designed-for-logistics set of smart modular containers, and induces a new generation of logistics facilities geared for open pooling and consolidation, fast throughput and seamless multimodality, while being environmentally and socially friendly. Second, a recent award-winning France-Switzerland-Canada project has assessed through a simulation experiment, based on real flow data from two leading French distributors and their top 100 suppliers, that Physical Internet enabled Interconnected Distribution can improve the overall logistics-induced cost of consumer-goods distribution by 30% and reduce the greenhouse gas emissions by 60%.

]]> Anita Race 1 1381919496 2013-10-16 10:31:36 1475892316 2016-10-08 02:05:16 0 0 event 2013-11-19T10:00:00-05:00 2013-11-19T11:00:00-05:00 2013-11-19T11:00:00-05:00 2013-11-19 15:00:00 2013-11-19 16:00:00 2013-11-19 16:00:00 2013-11-19T10:00:00-05:00 2013-11-19T11:00:00-05:00 America/New_York America/New_York datetime 2013-11-19 10:00:00 2013-11-19 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> Jennifer Harris


<![CDATA[Fall Student Recess]]> 27187 Anita Race 1 1381733163 2013-10-14 06:46:03 1475892311 2016-10-08 02:05:11 0 0 event 2013-10-14T01:00:00-04:00 2013-10-15T01:00:00-04:00 2013-10-15T01:00:00-04:00 2013-10-14 05:00:00 2013-10-15 05:00:00 2013-10-15 05:00:00 2013-10-14T01:00:00-04:00 2013-10-15T01:00:00-04:00 America/New_York America/New_York datetime 2013-10-14 01:00:00 2013-10-15 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Last Day of classes]]> 27187 Anita Race 1 1381733268 2013-10-14 06:47:48 1475892311 2016-10-08 02:05:11 0 0 event 2013-12-05T23:00:00-05:00 2013-12-05T23:00:00-05:00 2013-12-05T23:00:00-05:00 2013-12-06 04:00:00 2013-12-06 04:00:00 2013-12-06 04:00:00 2013-12-05T23:00:00-05:00 2013-12-05T23:00:00-05:00 America/New_York America/New_York datetime 2013-12-05 11:00:00 2013-12-05 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Exam Week]]> 27187 Anita Race 1 1381733324 2013-10-14 06:48:44 1475892311 2016-10-08 02:05:11 0 0 event 2013-12-08T23:00:00-05:00 2013-12-12T23:00:00-05:00 2013-12-12T23:00:00-05:00 2013-12-09 04:00:00 2013-12-13 04:00:00 2013-12-13 04:00:00 2013-12-08T23:00:00-05:00 2013-12-12T23:00:00-05:00 America/New_York America/New_York datetime 2013-12-08 11:00:00 2013-12-12 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Statistics Seminar]]> 27187 Georgia Tech Statistics Seminar Series

Thursday, October 17, 2013 at 11:00 AM
Executive classroom, ISyE Main Building

Inference and Experimental Planning for Lumen Degradation Data
Under A Wiener Diffusion Process

Dr. Yuhlong Lio
Department of Mathematical Sciences
University of South Dakota Vermillion, SD 57069

Abstract: This seminar presents investigations of the lumen degradation of light emitting diodes (LEDs) subject to stress loadings. Cumulative damage measurements are collected from a two-variable constant-stress accelerated degradation test (ADT). The underlying process for the data is a Wiener diffusion process with a drift which depends on the stress loadings. General statistical inferences on the parameters and percentiles of the LED lifetime distribution are presented. Approximate lower confidence bounds of the LED percentile lifetime are given using the Fisher information of the maximum-likelihood estimates and Bonferroni's inequality. This work establishes optimal strategies on the constant-stress ADT plan for a compromised decision between experiment budget and estimation precision. The study provides an algorithm to search the optimal strategy for the ADT. Finally, an example of LED tests is used to illustrate applications of the proposed methods.

Bio: Dr. Yuhlong Lio received Ph.D. in Statistics from University of South Carolina in 1987. Since then he has served as assistant professor, associate professor and professor in the Department of Mathematical Sciences, University of South Dakota.  Dr. Lio is an Associate Editor for the Journal of Statistical Computation and Simulation.  His research interest includes Kernel smooth quantile estimation, reliability, survival analysis and statistical quality control.

]]> Anita Race 1 1381748172 2013-10-14 10:56:12 1475892311 2016-10-08 02:05:11 0 0 event 2013-10-17T12:00:00-04:00 2013-10-17T13:00:00-04:00 2013-10-17T13:00:00-04:00 2013-10-17 16:00:00 2013-10-17 17:00:00 2013-10-17 17:00:00 2013-10-17T12:00:00-04:00 2013-10-17T13:00:00-04:00 America/New_York America/New_York datetime 2013-10-17 12:00:00 2013-10-17 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Host: Dr. J.C. Lu (jclu@isye.gatech.edu); please contact Dr. Lu for appointments.

<![CDATA[Faculty Candidate Seminar]]> 27187 Professor Martin Savelsbergh

School of Mathematical and Physical Sciences

University of Newcastle


The Australian coal export industry is the largest in the world.  Australian coal exports play a significant role in supporting the Australian economy, and in meeting the world's need for coal.  Australia is the largest exporter of metallurgical coal in the world, and the second-largest exporter of thermal coal, with about 60% of world market share in the former and about 20% in the latter. These exports make up almost 15% of Australia's total export earnings.


The Hunter Valley coal region, exporting coal through the Port of Newcastle, is a major contributor to this economic powerhouse. It is the primary source of thermal coal exports in Australia. In 2008 Newcastle port's throughput was around 92 million tonnes, which constituted more than 10% of the world's total trade in thermal coal. The Port of Newcastle exports a greater volume of coal than any other port in the world.


Most of the coal mines in the Hunter Valley are open pit mines. The coal is mined and stored either at a railway siding located at the mine or at a coal loading facility used by several mines. The coal is then transported to one of the terminals at the Port of Newcastle, almost exclusively by rail. The coal is dumped and stacked at a terminal to form stockpiles. Coal from different mines with different characteristics is ``mixed'' in a stockpile to form a coal blend that meets the specifications of a customer. Once a vessel arrives at a berth at the terminal, the stockpiles with coal for the vessel are reclaimed and loaded onto the vessel. The vessel then transports the coal to its destination. The coordination of the logistics in the Hunter Valley is challenging as it is a complex system involving 14 producers operating 35 coal mines, 27 coal load points, 2 rail track owners, 4 above rail operators, 3 coal loading terminals with a total of 8 berths, and 9 vessel operators. Approximately 1700 vessels are loaded at the terminals in the Port of Newcastle each year.


In this talk, we discuss a number of optimization problems arising when trying to maximize the throughput of the Hunter Valley Coal Chain as well as a class of incremental network design problems inspired, in part, by capacity expansion problems encountered in the Hunter Valley Coal Chain.


Biosketch:  Martin Savelsbergh received the Ms.S in Mathematics from University of Amsterdam and PhD from Erasmus.  For the past twenty five years, Professor Savelsbergh has been leading both theoretical and applied research covering a broad spectrum from basic optimization methods to distribution system and supply chain optimization.  Sponsors of his work have ranged from agencies like AFOSR, NSF, US Army, and Australian Research Council, to companies such as Praxair, Ameritech, Yellow Roadway, DayJet, SAIA, and ExxonMobil.  Professor Savelsbergh’s research has appeared in many of the leading journals in the field, including Transportation Science, Operations Research, Naval Research Logistics, Networks, Mathematical Programming, SIAM J. on Discrete Mathematics, Discrete Applied Mathematics, Journal of Heuristics, and Journal of Combinatorial Optimization.

]]> Anita Race 1 1380699630 2013-10-02 07:40:30 1475892300 2016-10-08 02:05:00 0 0 event 2013-10-03T12:00:00-04:00 2013-10-03T13:00:00-04:00 2013-10-03T13:00:00-04:00 2013-10-03 16:00:00 2013-10-03 17:00:00 2013-10-03 17:00:00 2013-10-03T12:00:00-04:00 2013-10-03T13:00:00-04:00 America/New_York America/New_York datetime 2013-10-03 12:00:00 2013-10-03 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Leon McGinnis


<![CDATA[Graduate Town Hall Meeting]]> 27187 The Graduate Students of the Stewart School of Industrial & Systems Engineering are cordially invited to attend a Town Hall Meeting with Dr. Jane Ammons
Thursday, October 24, 2013
11:30 AM in Executive Classroom

Pizza and refreshments will be served on a first come, first serve basis.

RSVP at http://b.gatech.edu/17s4zr9

]]> Anita Race 1 1380714478 2013-10-02 11:47:58 1475892300 2016-10-08 02:05:00 0 0 event 2013-10-24T12:30:00-04:00 2013-10-24T14:00:00-04:00 2013-10-24T14:00:00-04:00 2013-10-24 16:30:00 2013-10-24 18:00:00 2013-10-24 18:00:00 2013-10-24T12:30:00-04:00 2013-10-24T14:00:00-04:00 America/New_York America/New_York datetime 2013-10-24 12:30:00 2013-10-24 02:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[Seminar]]> 27187 TITLE: Features of the Finnish Innovation System

SPEAKER: Professor Tuomo Kassi

The story of Finland was a success story in the 20th century economically. Finland became particularly visible as a successful high technology country since the middle of 1980s. In that time the technology policy of the country became more intensive, as the public agency called The Center of Innovation and Development (TEKES) was established to support the R&D projects of companies and technology capability accumulation in the universities and research institutions. The innovation policy has the good consensus support of the whole population. The innovation policy and the innovation system have very much a cluster based structure. Many international indicators showed the policy working surprisingly well. Those positive signs were among others in innovativeness, growth competitiveness, quality of life, gender equality, security, education, health care, expectancy of life, environment. But latest in 2008 it turned out that many of these indicators were measuring wrong things.   

The innovation system does not make the promising start-up companies to grow large. The economic environment does not attract Finnish and international companies to invest in Finland. The innovation support policy does not hit the goal, as the clusters broke out and the companies work in international company networks.  The country should be now searching for a new paradigm and new guidelines for industrial, technology and innovation policy. How could the research help in this search?  


Tuomo Kässi has basic education in two areas: he has passed M.Sc. degrees in technical physics and in economics. He completed his D.Sc.  in subject of Industrial Engineering and Management after 25 years work in companies  in 1997.  Dr. Kässi became invited to professor´s chair in Lappeenranta University of Technology, Department of Industrial Engineering  and Management in 2000. Since then he has been teaching product development, product and technology strategy, innovation management and corporate strategy, and courses in forest industry. He has been academic director of many public-private research partnership projects. He has supervised and examined close to 400 Master´s theses and ten dissertations of D.Sc. He has published in international journals.  Currently Professor Kässi´s research interests are in evolution / transformation of industries, patent research, product platforms and modularization, and combining products and services in offering.

]]> Anita Race 1 1379950316 2013-09-23 15:31:56 1475892291 2016-10-08 02:04:51 0 0 event 2013-09-26T12:00:00-04:00 2013-09-26T13:00:00-04:00 2013-09-26T13:00:00-04:00 2013-09-26 16:00:00 2013-09-26 17:00:00 2013-09-26 17:00:00 2013-09-26T12:00:00-04:00 2013-09-26T13:00:00-04:00 America/New_York America/New_York datetime 2013-09-26 12:00:00 2013-09-26 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Dr. Leon McGinnis


<![CDATA[Statistics Seminar]]> 27187 Georgia Tech Statistics Seminar Series
Tuesday, September 17, 2013 at 11:00 AM
Executive classroom, ISyE Main Building

Modeling next generation sequencing data for the detection of DNA structural changes
Jie Chen
Department of Mathematics and Statistics,
University of Missouri-Kansas City

Abstract: Recent technological advances in biomedical research, such as the next generation sequencing (NGS) technology, have opened more opportunities for scientific discovery of genetic information. The NGS technology is particularly useful in profiling a genome for the analysis of DNA copy number variants (CNVs).   CNVs that are more than 50 base pairs (bps) long are also sometimes referred to as structural changes or structural variants (SVs).  Cancer development, genetic disorders, and many other diseases are usually relevant to SVs on the genome.  

The short sequencing reads data resulting from NGS are massive and information rich.  How to retrieve information from reads of the tumor and reference samples for accurate SV detection has become a computational and statistical challenge.  Interestingly, detecting boundaries of SV regions on a chromosome or a genome can be viewed as a change point problem of detecting sequencing reads or reads ratio changes presented in the NGS data.  We provide statistical change point models to help detect SVs using the sequencing data.  We use a Bayesian approach to incorporate possible parameter changes in the underlying distribution of the sequencing data.  Simulation studies have shown the effectiveness of the methods.  The methods are applied to some publically available NGS datasets, and SV regions on breast tumor cell lines are successfully identified.  

Bio: Dr. Chen is professor of statistics and the chair of the Department of Mathematics and Statistics at the University of Missouri-Kansas City.  She is currently on research leave from her home institution and is a Visiting Scientist at the Stowers Institute for Medical Research in Kansas City.  Her research interests include change point analysis, model selection criteria, applied statistics, statistical genetics, and modeling gene expression (microarray, and sequencing) data. She is the leading author of the book “Parametric Statistical Change Point Analysis” (Birkhaüser, 2000) and “Parametric Statistical Change Point Analysis with Applications to Genetics, Medicine, and Finance” (Birkhaüser, 2012).

]]> Anita Race 1 1379323497 2013-09-16 09:24:57 1475892282 2016-10-08 02:04:42 0 0 event 2013-09-17T12:00:00-04:00 2013-09-17T13:00:00-04:00 2013-09-17T13:00:00-04:00 2013-09-17 16:00:00 2013-09-17 17:00:00 2013-09-17 17:00:00 2013-09-17T12:00:00-04:00 2013-09-17T13:00:00-04:00 America/New_York America/New_York datetime 2013-09-17 12:00:00 2013-09-17 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Host: Dr. C. F. Jeff Wu (jeffwu@isye.gatech.edu).

<![CDATA[Primus Speaks on "I, Optimize: The Application of IE Principles to the Business of Entertainment"]]> 27868 TITLE:  I, Optimize: The Application of Industrial Engineering Principles to the Business of Entertainment

  The entertainment industry is, by all accounts, more art than science. While entertainment will continue to be dominated by artists, those looking to improve upon the creative process have embraced the tools of industrial engineering, and industrial engineers have risen to the top of many creative organizations. Entertainment industry insider and ISyE graduate Guy Primus, IE 1992, MS IE 1995, provides a look behind the curtain of entertainment and shares case studies that demonstrate the principles of industrial engineering at work in the most artsy of industries.

BIO: Guy Primus is co-founder and managing director of Thrillerdome Ventures, a company that provides strategic and operational guidance and executive leadership to technology startups. Thrillerdome's partner companies include SocialHush, which provides tools that allow for collaborative management and moderation of social media posts, Harlem Athletic Club, a sports and fitness lifestyle brand, Anvil Enterprises, which partners with comic book artists to commercialize original characters, and Freedom Hall, an ecommerce destination featuring sportswear collections defined by a reconstructed and more international view of work and play.

Prior to forming Thrillerdome Ventures, Guy served as Chief Operating Officer at Overbrook Entertainment, the film, TV and transmedia production company founded by producer James Lassiter and actor/producer Will Smith where he oversaw Overbrook’s operations , managed the company’s staff and led Overbrook’s strategic ventures group.

Before joining Overbrook, Guy was Director of Digital Media at Starbucks Entertainment. In this role, he was responsible for setting the strategic direction of Starbucks’ digital entertainment initiatives, including negotiation and product planning for Starbucks’ groundbreaking deal with Apple. Guy has also served as Group Product Marketing Manager at Microsoft, where he oversaw marketing and revenue advertising for MSN Entertainment. ‘The Scenario’, which Guy conceived for Sprite while at Microsoft, was named Best Branded Entertainment Campaign at the 2005 ad:tech awards. Before joining Microsoft Guy worked at Bad Boy Entertainment, where he served as Vice President of Strategy & Planning for Blue Flame, the marketing and advertising agency founded by Sean “Diddy” Combs.

Guy serves on the board of directors of SocialHush and Harlem Athletic Club, and on the advisory boards of JibJab Media, a leading provider of digital greetings and online entertainment, MoviePass, a subscription service heralded as the “Netflix for movie theaters” and Loom, a company that is building mobile syncing solutions for media files. Guy is also member of the Georgia Tech Advisory Board, the advisory board of Georgia Tech’s School of Industrial and Systems Engineering and the Digital Diversity Network.

Guy’s passion for technology and entertainment has resulted in experiences that range from being a patent-pending inventor (Managing Demographic-Based Customer Ratings and Collaborative Moderation of Social Media Posts) to serving as A&R for Universal Music recording artist Anjulie. Guy’s success in the worlds of media and technology led to his selection as a ‘CUP Catalyst’ in Media & Entertainment by the Council of Urban Professionals, a ‘Captain of Industry’ the Institute of Industrial Engineers and being named to Georgia Tech’s Council of Outstanding Young Engineering Alumni.

Guy earned his bachelor’s and master’s degrees in industrial engineering from The Georgia Tech Stewart School of Industrial & Systems Engineering and his MBA from Harvard Business School. Guy, his wife, Heather, their son, Grant, and their daughter, Clarke, recently relocated from Los Angeles to Atlanta.

]]> Lizzie Millman 1 1378459687 2013-09-06 09:28:07 1475892278 2016-10-08 02:04:38 0 0 event 2013-10-17T17:30:00-04:00 2013-10-17T17:30:00-04:00 2013-10-17T17:30:00-04:00 2013-10-17 21:30:00 2013-10-17 21:30:00 2013-10-17 21:30:00 2013-10-17T17:30:00-04:00 2013-10-17T17:30:00-04:00 America/New_York America/New_York datetime 2013-10-17 05:30:00 2013-10-17 05:30:00 America/New_York America/New_York datetime <![CDATA[]]> Barbara Christopher
Industrial and Systems Engineering

234951 234951 image <![CDATA[Guy Primus, distinguished ISyE alumnus and co-founder and managing director of Thrillerdome Ventures.]]> image/jpeg 1449243641 2015-12-04 15:40:41 1475894908 2016-10-08 02:48:28
<![CDATA[Free Webinar with Robert Martichenko: Developing Lean Supply Chain Problem Solvers]]> 27233 Offered by the Georgia Tech Supply Chain & Logistics Institute (GTSCL) and LeanCor Supply Chain Group.

This free, one-hour webinar will introduce lean problem solving through using problem solving tools to eliminate waste at the root cause, understanding process thinking, and seeing problems as opportunities for continuous improvement.  

Robert Martichenko, course director of the Georgia Tech Lean Supply Chain Course Series and CEO of LeanCor, will cover these areas and explain how problem solving plays a critical role in creating a lean supply chain. The aim is to reduce the total cost of the supply chain--removing waste and creating the most value for the customer. Those who will benefit from this webinar include any company that is ready to go outside the four walls of its plant and connect the plant to the supply base using lean principles, any professional who operates in a supply chain or logistics capacity looking to implement lean, and manufacturers as well as suppliers to manufacturers.

Experience a preview of the GTSCL Lean Supply Chain Professional Certificate Series and get to know your instructor! Engage and ask questions live with Robert!

After attending this webinar, first-time attendees receive a promo code for a discount towards the "Building a Lean Supply Chain Problem Solver" course being taught on the Georgia Tech campus September 17-19, 2013!

Learn more about the Georgia Tech Lean Supply Chain Professional Certificate Series at http://www.scl.gatech.edu/LEAN.

]]> Andy Haleblian 1 1376039814 2013-08-09 09:16:54 1475892256 2016-10-08 02:04:16 0 0 event This free, one-hour webinar will introduce lean problem solving through using problem solving tools to eliminate waste at the root cause, understanding process thinking, and seeing problems as opportunities for continuous improvement.

2013-08-20T12:00:00-04:00 2013-08-20T13:00:00-04:00 2013-08-20T13:00:00-04:00 2013-08-20 16:00:00 2013-08-20 17:00:00 2013-08-20 17:00:00 2013-08-20T12:00:00-04:00 2013-08-20T13:00:00-04:00 America/New_York America/New_York datetime 2013-08-20 12:00:00 2013-08-20 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> webinar@scl.gatech.edu

227991 227991 image <![CDATA[FREE Webinar: How To Support Your Supply Chain Operations with Lean Inbound Logistics]]> image/jpeg 1449243566 2015-12-04 15:39:26 1475894901 2016-10-08 02:48:21 <![CDATA[Register Online to Attend]]>
<![CDATA[Statistics Seminar]]> 27187 TITLE: Adaptive Hierarchical Stochastic Collocation Methods for High-Dimensional Approximation, Discontinuity Detection and Parameter Estimation

SPEAKER: Guannan Zhang


Abstract: We will discuss an adaptive hierarchical stochastic collocation (AHSC) framework that addresses several challenges arising in uncertainty quantification (UQ) including: quantification of high-dimensional quantities of interest; high-dimensional discontinuity detection; and reducing computational complexity of parameter estimation. For high-dimensional approximation, we extended the conventional AHSC method by incorporating the wavelet basis into the sparse-grid framework. Second-generation wavelets are used constructed from a lifting scheme which allow us to preserve the framework of the multi-resolution analysis, compact support, as well as the necessary interpolatory and Riesz property of the hierarchical basis. For high-dimensional discontinuity detection, we developed a hyper-spherical stochastic collocation method for identifying jump discontinuities by incorporating a hyper-spherical coordinate system (HSCS) into the sparse-grid approximation framework. An approximate discontinuity surface is constructed directly in the hyper-spherical system with a greatly reduced number of sparse grid points compared to existing methods. For parameter estimation problems with computationally expense physical simulations, we incorporate the AHSC approach with high-order hierarchical basis into Bayesian inference framework to reduce computational complexity in MCMC sampling. A surrogate of the posterior probability density function (PPDF) is constructed using the AHSC methods. High-order local hierarchical polynomials (e.g. quadratic, cubic basis) are used to further improve the accuracy and cost of the surrogate. Moreover, to efficiently approximate PPDFs with multiple significant modes, we also incorporate optimization into our new approaches.

Bio: Dr. Guannan Zhang is the Householder fellow in the Computer Science and Mathematics Division at Oak Ridge National Laboratory since August 2012. Previously, he enrolled in the doctoral program in computational science at the Florida State University in 2009 and obtained his Ph.D. degree in the summer of 2012. Zhang is currently a member of the Applied Mathematics Group (AMG) at ORNL. His research is focused on mathematical foundations of uncertainty quantification (UQ), including numerical methods for stochastic partial differential equations, high-dimensional stochastic approximation and discontinuity detection, Data assimilation, stochastic optimization and related applications.

]]> Anita Race 1 1378376923 2013-09-05 10:28:43 1475892256 2016-10-08 02:04:16 0 0 event 2013-09-12T12:00:00-04:00 2013-09-12T13:00:00-04:00 2013-09-12T13:00:00-04:00 2013-09-12 16:00:00 2013-09-12 17:00:00 2013-09-12 17:00:00 2013-09-12T12:00:00-04:00 2013-09-12T13:00:00-04:00 America/New_York America/New_York datetime 2013-09-12 12:00:00 2013-09-12 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Host: Dr. Roshan Vengazhiyil, roshan@gatech.edu.

<![CDATA[Faculty/Staff Welcome Back Luncheon]]> 27187 Anita Race 1 1375952319 2013-08-08 08:58:39 1475892251 2016-10-08 02:04:11 0 0 event 2013-08-20T12:30:00-04:00 2013-08-20T14:00:00-04:00 2013-08-20T14:00:00-04:00 2013-08-20 16:30:00 2013-08-20 18:00:00 2013-08-20 18:00:00 2013-08-20T12:30:00-04:00 2013-08-20T14:00:00-04:00 America/New_York America/New_York datetime 2013-08-20 12:30:00 2013-08-20 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[ISyE Advisory Board Meeting]]> 27187 Anita Race 1 1375952556 2013-08-08 09:02:36 1475892251 2016-10-08 02:04:11 0 0 event 2013-10-18T09:30:00-04:00 2013-10-18T16:00:00-04:00 2013-10-18T16:00:00-04:00 2013-10-18 13:30:00 2013-10-18 20:00:00 2013-10-18 20:00:00 2013-10-18T09:30:00-04:00 2013-10-18T16:00:00-04:00 America/New_York America/New_York datetime 2013-10-18 09:30:00 2013-10-18 04:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Faculty Meeting]]> 27187 Anita Race 1 1375089422 2013-07-29 09:17:02 1475892241 2016-10-08 02:04:01 0 0 event 2013-08-22T12:00:00-04:00 2013-08-22T13:00:00-04:00 2013-08-22T13:00:00-04:00 2013-08-22 16:00:00 2013-08-22 17:00:00 2013-08-22 17:00:00 2013-08-22T12:00:00-04:00 2013-08-22T13:00:00-04:00 America/New_York America/New_York datetime 2013-08-22 12:00:00 2013-08-22 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Faculty Meeting]]> 27187 Anita Race 1 1375089476 2013-07-29 09:17:56 1475892241 2016-10-08 02:04:01 0 0 event 2013-09-24T12:00:00-04:00 2013-09-24T13:00:00-04:00 2013-09-24T13:00:00-04:00 2013-09-24 16:00:00 2013-09-24 17:00:00 2013-09-24 17:00:00 2013-09-24T12:00:00-04:00 2013-09-24T13:00:00-04:00 America/New_York America/New_York datetime 2013-09-24 12:00:00 2013-09-24 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Faculty Meeting]]> 27187 Anita Race 1 1375089561 2013-07-29 09:19:21 1475892241 2016-10-08 02:04:01 0 0 event 2013-10-31T12:00:00-04:00 2013-10-31T13:00:00-04:00 2013-10-31T13:00:00-04:00 2013-10-31 16:00:00 2013-10-31 17:00:00 2013-10-31 17:00:00 2013-10-31T12:00:00-04:00 2013-10-31T13:00:00-04:00 America/New_York America/New_York datetime 2013-10-31 12:00:00 2013-10-31 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Faculty Meeting]]> 27187 Anita Race 1 1375089626 2013-07-29 09:20:26 1475892241 2016-10-08 02:04:01 0 0 event 2013-11-21T10:00:00-05:00 2013-11-21T11:00:00-05:00 2013-11-21T11:00:00-05:00 2013-11-21 15:00:00 2013-11-21 16:00:00 2013-11-21 16:00:00 2013-11-21T10:00:00-05:00 2013-11-21T11:00:00-05:00 America/New_York America/New_York datetime 2013-11-21 10:00:00 2013-11-21 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Faculty Meeting]]> 27187 Anita Race 1 1375089683 2013-07-29 09:21:23 1475892241 2016-10-08 02:04:01 0 0 event 2013-12-12T10:00:00-05:00 2013-12-12T11:00:00-05:00 2013-12-12T11:00:00-05:00 2013-12-12 15:00:00 2013-12-12 16:00:00 2013-12-12 16:00:00 2013-12-12T10:00:00-05:00 2013-12-12T11:00:00-05:00 America/New_York America/New_York datetime 2013-12-12 10:00:00 2013-12-12 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Holiday - Campus closed]]> 27187 Anita Race 1 1375091762 2013-07-29 09:56:02 1475892241 2016-10-08 02:04:01 0 0 event 2013-11-27T23:00:00-05:00 2013-11-28T23:00:00-05:00 2013-11-28T23:00:00-05:00 2013-11-28 04:00:00 2013-11-29 04:00:00 2013-11-29 04:00:00 2013-11-27T23:00:00-05:00 2013-11-28T23:00:00-05:00 America/New_York America/New_York datetime 2013-11-27 11:00:00 2013-11-28 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Winter Break - campus closed]]> 27187 Anita Race 1 1375091818 2013-07-29 09:56:58 1475892241 2016-10-08 02:04:01 0 0 event 2013-12-22T23:00:00-05:00 2013-12-26T23:00:00-05:00 2013-12-26T23:00:00-05:00 2013-12-23 04:00:00 2013-12-27 04:00:00 2013-12-27 04:00:00 2013-12-22T23:00:00-05:00 2013-12-26T23:00:00-05:00 America/New_York America/New_York datetime 2013-12-22 11:00:00 2013-12-26 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[EMIL-SCS Webinar]]> 27187

Webinar: FREE- Back to School: Understanding the Value of a Supply Chain Education
August 9th, 2013, 11 AM EDT

The supply chain management career has come of age. Accordingly, a growing number of targeted degree programs have been established to educate the next generation of industry leaders. For many applicants making sense of these relatively new options for personal and professional growth can be intimidating and complex. This one-hour, interactive discussion will help you understand how to assess the value supply chain education presents to you and your organization.

Key discussion points will include:
  • Logistics and Supply Chain education beginnings and current trends.
  • Understanding and assessing a supply chain management curriculum.
  • Measuring the personal ROI related to education and the decision to enroll.
  • Articulating the value of an advanced degree program to your management.
  • The employer's perspective on educational investments and the potential benefits.
  • Live Q&A with panelists.
Expert panelists include:
  • Brad Grimsley, Vice President of Logistics & Engineering, Limited Brands
  • Jim Kellso, Professor of Practice, ASU; Senior Supply Chain Master, (retired) Intel Corporation
  • Dr. John Vande Vate, Professor & Executive Director EMIL-SCS, Georgia Tech
  • Hosted by: Jim Blaeser, Publisher, American Shipper

All the information can be found here: http://www.americanshipper.com/main/checkemailinxpo.aspx?fdid=f8c7be3a-2012-41dd-9e53-ba13efe9af39

]]> Anita Race 1 1375179914 2013-07-30 10:25:14 1475892241 2016-10-08 02:04:01 0 0 event 2013-08-09T12:00:00-04:00 2013-08-09T12:00:00-04:00 2013-08-09T12:00:00-04:00 2013-08-09 16:00:00 2013-08-09 16:00:00 2013-08-09 16:00:00 2013-08-09T12:00:00-04:00 2013-08-09T12:00:00-04:00 America/New_York America/New_York datetime 2013-08-09 12:00:00 2013-08-09 12:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[Holiday - Campus closed]]> 27187 Anita Race 1 1371469419 2013-06-17 11:43:39 1475892226 2016-10-08 02:03:46 0 0 event 2013-07-04T01:00:00-04:00 2013-07-04T01:00:00-04:00 2013-07-04T01:00:00-04:00 2013-07-04 05:00:00 2013-07-04 05:00:00 2013-07-04 05:00:00 2013-07-04T01:00:00-04:00 2013-07-04T01:00:00-04:00 America/New_York America/New_York datetime 2013-07-04 01:00:00 2013-07-04 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Seminar]]> 27187 TITLE: New dispatching approaches for WIP balancing and on-time delivery in semiconductor manufacturing

SPEAKER: Professor Oliver Rose


For a customer-oriented semiconductor wafer fab, low volume products such as development lots or customer samples are often more critical than high volume products with regard to cycle time and delivery reliability because of due date commitment. In this study, a global rule combining WIP balance and due date control is developed for a wafer fab with both low and high volume products. The purpose is to resolve the following two issues. how to balance WIP of high volume products with the due date cost of low volume products; and how to make the trade-off between on-time delivery and WIP balance for the low volume products.

In the second part of the talk, a priority matrix table is introduced to assign priority to lots considering both due date and workload information with the objective to keep lots going through the fab at the right pace to maintain WIP balance. Besides that, a WIP calibration method is proposed to recover WIP balance following unpredictable events such as tool failure. The simulation results demonstrate that the proposed priority matrix table achieves a better WIP balance than FIFO (first in first out) and ODD (operation due date), and the WIP calibration method is able to correct for the WIP imbalance.

]]> Anita Race 1 1372339716 2013-06-27 13:28:36 1475892226 2016-10-08 02:03:46 0 0 event 2013-07-09T12:00:00-04:00 2013-07-09T13:00:00-04:00 2013-07-09T13:00:00-04:00 2013-07-09 16:00:00 2013-07-09 17:00:00 2013-07-09 17:00:00 2013-07-09T12:00:00-04:00 2013-07-09T13:00:00-04:00 America/New_York America/New_York datetime 2013-07-09 12:00:00 2013-07-09 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Leon McGinnis

<![CDATA[Seminar]]> 27187 TITLE: A Simulation -Based Optimization Platform (SBOP) for discrete logistics systems with applications to workforce scheduling of assembly lines

SPEAKER: Professor Oliver Rose


In this presentation, we focus on solution strategies for scheduling problems in complex assembly lines with workforce constraints. Typical products are airplanes, industrial machines and turbines which are produced by multi-skilled resources in small lots or which are even unique items. This type of production scheduling problem is known as a Multi-Mode Resource-Constrained Multi-Project Scheduling Problems (MMRCMPP) with Activity Splitting. It is a combinatorial problem which is NP-hard.

Existing approaches are far from optimal and provide very rough heuristic results. For our solution approach, we even increase the complexity of the model by using both internal and subcontracted workers with different skills. We use a simulation-based optimization approach to obtain solutions for real-world problems in short runtimes. To that end, we propose a heuristic method for developing production plans with minimized slack, balanced workforce with minimal staff and high resource utilization. As a first step towards a cost optimization we also show how a cost model to evaluate the total cost of production plans can be integrated to our approach. The cost function considers resource cost, opportunity cost (unused resources), subcontracting cost, bonus and penalty payments and assembly overhead cost. We show some solution details including computational results for several production scenarios and a reference implementation of our Simulation-Based Optimization Platform (SBOP).

]]> Anita Race 1 1372339872 2013-06-27 13:31:12 1475892226 2016-10-08 02:03:46 0 0 event 2013-07-18T12:00:00-04:00 2013-07-18T13:00:00-04:00 2013-07-18T13:00:00-04:00 2013-07-18 16:00:00 2013-07-18 17:00:00 2013-07-18 17:00:00 2013-07-18T12:00:00-04:00 2013-07-18T13:00:00-04:00 America/New_York America/New_York datetime 2013-07-18 12:00:00 2013-07-18 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Leon McGinnis

<![CDATA[Free Webinar with Dr. Maria Rey-Marston: "Developing a Supply Chain Strategy", June 13, 2013, 11 am EDT]]> 27233 During this free, one-hour webinar you will learn how to assess your current supply chain strategy, formulate a new one, discuss implementation of a supply chain strategy and how to review and align one. You will also learn how to adapt the basic tenets of corporate strategy, its strengths and opportunities, and how to leverage and enable them in developing your supply chain strategy.

After attending this webinar, receive a promo code for $400 off the July 9-12, 2013, Demand Driven Supply Chain Strategy SCL course being taught on the Georgia Tech campus! https://www3.gotomeeting.com/register/313923262

Presented by Dr. Maria Rey-Marston, executive educator and consultant on supply chain strategy and demand-driven commercial strategies for a variety of global industries. Maria is recognized as an expert in the fields of performance management and the design of global supply chain strategies, with over 15 years of experience working with private sector and governments. Dr. Rey-Marston is the instructor for the Georgia Tech Demand Driven Supply Chain Strategy professional education course.

]]> Andy Haleblian 1 1369838499 2013-05-29 14:41:39 1475892221 2016-10-08 02:03:41 0 0 event The webinar will discuss how to assess your current supply chain strategy as well as formulating, implementing and reviewing a new one.

2013-06-13T12:00:00-04:00 2013-06-13T13:00:00-04:00 2013-06-13T13:00:00-04:00 2013-06-13 16:00:00 2013-06-13 17:00:00 2013-06-13 17:00:00 2013-06-13T12:00:00-04:00 2013-06-13T13:00:00-04:00 America/New_York America/New_York datetime 2013-06-13 12:00:00 2013-06-13 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> webinar@scl.gatech.edu

215381 215381 image <![CDATA[FREE Webinar "Developing Your Supply Chain Strategy" Thursday, June 13th, 11am-12pm EDT]]> image/jpeg 1449180114 2015-12-03 22:01:54 1475894879 2016-10-08 02:47:59 <![CDATA[Register Online to Attend]]>
<![CDATA[Free Webinar with Lee Hales: How to Plan Your Next Supply Chain Facility, July 16, 2013, 11am EDT]]> 27233 This free, one-hour webinar presented by Lee Hales will cover the keys aspects of strategic planning for major capital investments. Learn about a systematic, step-by-step planning process, from network optimization and site selection to facility layout, material handling and building design. Using proven methods, Lee explains how to estimate long-range space and capacity requirements in support of your business and supply chain plans. Learn how to integrate the five components of an industrial facility (layout, material handling, communications, utilities, and building design) into cost-effective facilities. The methods presented are proven to speed up your planning and get faster executive approvals.

After attending this webinar, receive a promo code for $300 off the August 13-16, 2013 Strategic Planning of Supply Chain Facilities SCL course being taught on the Georgia Tech campus! The methods presented in this short course can be put to immediate use on your current or next planning project!  To register for the webinar, please visit https://www3.gotomeeting.com/register/344500934.

H. Lee Hales is president of Richard Muther & Associates. Hales has authored and co-authored several books on industrial planning, including: Systematic Planning of Industrial Facilities (with Richard Muther) and Computer-Aided Facilities Planning. As an internationally recognized planner of manufacturing and distribution facilities, he has assisted on a wide range of global projects. His clients include: Siemens, Motorola, Raytheon, Clorox, Coca-Cola, Fastenal, Delta Air Lines, The Container Store and many others. Lee is also the instructor for the Georgia Tech Supply Chain & Logistics short course: Warehouse/Distribution Center Layout.

]]> Andy Haleblian 1 1370860961 2013-06-10 10:42:41 1475892221 2016-10-08 02:03:41 0 0 event Learn about a systematic, step-by-step planning process, from network optimization and site selection to facility layout, material handling and building design.

2013-07-16T12:00:00-04:00 2013-07-16T13:00:00-04:00 2013-07-16T13:00:00-04:00 2013-07-16 16:00:00 2013-07-16 17:00:00 2013-07-16 17:00:00 2013-07-16T12:00:00-04:00 2013-07-16T13:00:00-04:00 America/New_York America/New_York datetime 2013-07-16 12:00:00 2013-07-16 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> webinar@scl.gatech.edu

217021 217021 image <![CDATA[Free Webinar with Lee Hales: How to Plan Your Next Supply Chain Facility]]> image/jpeg 1449180114 2015-12-03 22:01:54 1475894882 2016-10-08 02:48:02 <![CDATA[Register Online to Attend]]>
<![CDATA[Summer semester starts]]> 27187 Anita Race 1 1368093818 2013-05-09 10:03:38 1475892210 2016-10-08 02:03:30 0 0 event 2013-05-13T01:00:00-04:00 2013-05-13T01:00:00-04:00 2013-05-13T01:00:00-04:00 2013-05-13 05:00:00 2013-05-13 05:00:00 2013-05-13 05:00:00 2013-05-13T01:00:00-04:00 2013-05-13T01:00:00-04:00 America/New_York America/New_York datetime 2013-05-13 01:00:00 2013-05-13 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Memorial Day Holiday]]> 27187 Campus will close to observe the Memorial Day holiday. Classes will not meet.

]]> Anita Race 1 1368093884 2013-05-09 10:04:44 1475892210 2016-10-08 02:03:30 0 0 event Campus will close to observe the Memorial Day holiday. Classes will not meet.

2013-05-27T01:00:00-04:00 2013-05-27T01:00:00-04:00 2013-05-27T01:00:00-04:00 2013-05-27 05:00:00 2013-05-27 05:00:00 2013-05-27 05:00:00 2013-05-27T01:00:00-04:00 2013-05-27T01:00:00-04:00 America/New_York America/New_York datetime 2013-05-27 01:00:00 2013-05-27 01:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[Fall semester starts]]> 27187 Anita Race 1 1368093977 2013-05-09 10:06:17 1475892210 2016-10-08 02:03:30 0 0 event 2013-08-19T01:00:00-04:00 2013-08-19T01:00:00-04:00 2013-08-19T01:00:00-04:00 2013-08-19 05:00:00 2013-08-19 05:00:00 2013-08-19 05:00:00 2013-08-19T01:00:00-04:00 2013-08-19T01:00:00-04:00 America/New_York America/New_York datetime 2013-08-19 01:00:00 2013-08-19 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Labor Day Holiday]]> 27187 Campus Closed

]]> Anita Race 1 1368094030 2013-05-09 10:07:10 1475892210 2016-10-08 02:03:30 0 0 event 2013-09-02T01:00:00-04:00 2013-09-02T01:00:00-04:00 2013-09-02T01:00:00-04:00 2013-09-02 05:00:00 2013-09-02 05:00:00 2013-09-02 05:00:00 2013-09-02T01:00:00-04:00 2013-09-02T01:00:00-04:00 America/New_York America/New_York datetime 2013-09-02 01:00:00 2013-09-02 01:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[Statistics Seminar]]> 27187 TITLE: One-bit Matrix Completion

SPEAKER:  Mark Davenport


In this talk I will describe a theory of matrix completion for the extreme case of noisy 1-bit observations. Instead of observing a subset of the real-valued entries of a matrix M, we obtain a small number of binary (1-bit) measurements generated according to a probability distribution determined by the real-valued entries of M. The central question I will discuss is whether or not it is possible to obtain an accurate estimate of M from this data. In general this would seem impossible, but we show that the maximum likelihood estimate under a suitable constraint returns an accurate estimate of M under certain natural conditions. If the log-likelihood is a concave function (e.g., the logistic or probit observation models), then we can obtain this estimate by optimizing a convex program.

Mark's email is mdav@gatech.edu.

]]> Anita Race 1 1366642690 2013-04-22 14:58:10 1475892201 2016-10-08 02:03:21 0 0 event 2013-04-23T12:00:00-04:00 2013-04-23T13:00:00-04:00 2013-04-23T13:00:00-04:00 2013-04-23 16:00:00 2013-04-23 17:00:00 2013-04-23 17:00:00 2013-04-23T12:00:00-04:00 2013-04-23T13:00:00-04:00 America/New_York America/New_York datetime 2013-04-23 12:00:00 2013-04-23 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Xiaoming Huo


<![CDATA[Statistics Seminar]]> 27187 TITLE:  Tolerance Limits for Binary Data Under  Logistic Regression

SPEAKER:  Thomas Mathew


Tolerance limits computed using a  random sample capture a specified proportion or more of a population, with a given confidence level. In the talk, the computation of  tolerance limits will be discussed for binary data under the logistic regression model. The  data consist of n binary responses, where the  probability of a  positive response depends on covariates via the logistic regression function.  Upper tolerance limits are constructed for the  number of positive responses in m future trials for fixed as well as for varying levels of the covariates. The former provides point-wise upper  tolerance limits, and the latter provides  simultaneous upper tolerance limits. The upper tolerance limits are obtained from upper confidence limits for the probability of a  positive response. To compute the required upper confidence limits for the
logistic function, likelihood based asymptotic methods, small  sample asymptotics, as well as bootstrap  methods will be discussed and numerically compared. The problems have been motivated by an application of interest to the U.S. Army, dealing with the testing of ballistic vests for protecting soldiers from projectiles and shrapnel, where the success probability depends on covariates such  as the projectile velocity, size of the vest, etc. Such an application will be used to motivate and illustrate the tolerance limit problem.

The talk is based on joint work with Zachary Zimmer and DoHwan Park.

BIO: Thomas Mathew is Professor, Department of Mathematics and Statistics, University of Maryland, Baltimore County Campus. He received his PhD in statistics from the Indian Statistical Institute in 1983. His research interests include the topics of equivalence testing and statistical tolerance intervals. He is the co-author of a Wiley book on tolerance intervals, published in 2009. He is a Fellow of both the Institute of Mathematical Statistics and the American Statistical Association.

]]> Anita Race 1 1365502649 2013-04-09 10:17:29 1475892196 2016-10-08 02:03:16 0 0 event 2013-04-18T12:00:00-04:00 2013-04-18T13:00:00-04:00 2013-04-18T13:00:00-04:00 2013-04-18 16:00:00 2013-04-18 17:00:00 2013-04-18 17:00:00 2013-04-18T12:00:00-04:00 2013-04-18T13:00:00-04:00 America/New_York America/New_York datetime 2013-04-18 12:00:00 2013-04-18 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Roshan Vengazhiyil


<![CDATA[OR Colloquium]]> 27187 TITLE: Dual Methods for minimizing functions with bounded variation

SPEAKER:  Yuri Nesterov


We propose a new approach for justifying complexity bounds for dual optimization methods. Dual problems often have very big or unbounded size of the optimal solutions. This makes impossible to apply to the complexity analysis of corresponding schemes the standard framework. In this talk we propose new methods, which can work with unbounded feasible sets. All these methods are primal-dual: they generate both primal and dual solutions with required accuracy/feasibility guarantees. This is a joint work with A. Gasnikov (IITP, Moscow)

]]> Anita Race 1 1364803481 2013-04-01 08:04:41 1475892186 2016-10-08 02:03:06 0 0 event 2013-04-03T13:00:00-04:00 2013-04-03T14:00:00-04:00 2013-04-03T14:00:00-04:00 2013-04-03 17:00:00 2013-04-03 18:00:00 2013-04-03 18:00:00 2013-04-03T13:00:00-04:00 2013-04-03T14:00:00-04:00 America/New_York America/New_York datetime 2013-04-03 01:00:00 2013-04-03 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> David Goldberg


<![CDATA[Statistics Seminar]]> 27187 TITLE:  Stochastic inference of dynamic system models: from single-molecule experiments
to statistical estimation

SPEAKER:  Samuel Kou


Dynamic systems, often described by coupled differential equations, are used in modeling diverse behaviors in a wide variety of scientific disciplines. In this talk we will consider their assessment and calibration in light of experimental/observational data. For the assessment, we explore how the deterministic dynamic system models reconcile with stochastic observations, using recent single-molecule experiments on enzymatic reactions as an example, where the single-molecule data reveal clear departure from the classical
Michaelis-Menten model. For the calibration, we will propose a new inference method for the parameter estimation of dynamic systems. The new method employs Gaussian processes to mirror a dynamic system and offers large savings of computational time while still retains high estimation accuracy. Numerical examples will be used to illustrate the estimation method.

Samuel Kou is Professor of Statistics at Harvard University. He received a bachelor's degree in computational mathematics from Peking University in 1997, followed by  a Ph.D. in statistics from Stanford University in 2001 under the supervision of Professor Bradley Efron. After completing his Ph.D., he joined Harvard University as an Assistant Professor. He was promoted to full professor in 2008.

His research interests include stochastic inference in single-molecule biophysics, chemistry and biology; Bayesian inference for stochastic models; nonparametric statistical methods; model selection and empirical Bayes methods; Monte Carlo methods; and economic and financial modeling.  He won the prestigious COPSS award. He is a fellow of ASA, and so on.

]]> Anita Race 1 1364803856 2013-04-01 08:10:56 1475892186 2016-10-08 02:03:06 0 0 event 2013-04-04T12:00:00-04:00 2013-04-04T13:00:00-04:00 2013-04-04T13:00:00-04:00 2013-04-04 16:00:00 2013-04-04 17:00:00 2013-04-04 17:00:00 2013-04-04T12:00:00-04:00 2013-04-04T13:00:00-04:00 America/New_York America/New_York datetime 2013-04-04 12:00:00 2013-04-04 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Xiaoming Huo


<![CDATA[Statistics Seminar]]> 27187 TITLE: Templates for Design Key Construction

SPEAKER: Ching-Shui Cheng


Some useful templates for implementing design key construction of factorial designs with simple block structures, in particular those for the construction of unblocked and blocked split-plot and strip-plot factorial designs will be presented. The traditional method of constructing such designs is to use some independent treatment factorial effects to partition the treatment combinations into blocks, rows, columns, etc. One advantage of the design key construction is that a set of independent generators and the constraints imposed by the structures of the experimental units are built in the template, which facilitates a systematic and simple construction of the design layout and eliminates the need to check some conditions for design eligibility when the traditional method is used.

Dr. Ching-Shui Cheng is a Professor in the department of Statistics at the University of California-Berkeley. He was the Distinguished Research Fellow and Director of Academia Sinica, Taiwan from 2003-2005. He was the chair Editor of Statistica Sinica and served as associate editors for many journals including Biometrika, Annals of Statistics, Technometrics, and the Journal of Statistical Planning and Inference. He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics.
More info can be found at http://www.stat.berkeley.edu/~cheng/

]]> Anita Race 1 1363776619 2013-03-20 10:50:19 1475892180 2016-10-08 02:03:00 0 0 event 2013-03-28T12:00:00-04:00 2013-03-28T13:00:00-04:00 2013-03-28T13:00:00-04:00 2013-03-28 16:00:00 2013-03-28 17:00:00 2013-03-28 17:00:00 2013-03-28T12:00:00-04:00 2013-03-28T13:00:00-04:00 America/New_York America/New_York datetime 2013-03-28 12:00:00 2013-03-28 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Roshan Vengazhiyil


<![CDATA[Visiting Guest Speaker]]> 27187 TITLE: Optimization in Learning and Data Analysis

SPEAKER: Dr. Stephen Wright


Optimization tools are vital to data analysis and learning. The optimization perspective has provided valuable insights, and optimization formulations have led to practical algorithms with good theoretical properties. In turn, the rich collection of problems in learning and data analysis is providing fresh perspectives on optimization algorithms and is driving new fundamental research in the area. After a brief survey, we focus on several problems --- signal reconstruction, manifold learning, and regression/classification --- describing in each case recent research in which optimization algorithms have been developed and applied successfully.




]]> Anita Race 1 1363776928 2013-03-20 10:55:28 1475892180 2016-10-08 02:03:00 0 0 event 2013-03-25T15:00:00-04:00 2013-03-25T16:00:00-04:00 2013-03-25T16:00:00-04:00 2013-03-25 19:00:00 2013-03-25 20:00:00 2013-03-25 20:00:00 2013-03-25T15:00:00-04:00 2013-03-25T16:00:00-04:00 America/New_York America/New_York datetime 2013-03-25 03:00:00 2013-03-25 04:00:00 America/New_York America/New_York datetime <![CDATA[]]> Arkadi Nemirovski


<![CDATA[FREE Webinar "Understanding and Optimizing Inventory in Supply Chains" Wednesday, April 3rd, 11am-12pm EDT]]> 27233 Inventory availability is a critical aspect of customer service and its cost is one of the most important entries on a company's balance sheet. Despite numerous initiatives to reduce inventory, inventory levels for most companies have remained the same or increased. This may be due to inventory being held in multiple forms across a company's supply chain together with multiple transfer of ownership. This is not well understood by stakeholders who need the skills to analyze the tradeoffs between inventory costs and customer service levels.

The webinar will discuss maintaining levels of inventory necessary to provide customer service while minimizing inventory resulting from poor supply chain management. Attendees of this webinar will receive a promotional code for $400 off the Inventory Planning and Management course held in Atlanta April 24-26, 2013.

This one-hour session will be presented by Dr. Amar Ramudhin and Dr. Don Ratliff of the Georgia Tech Supply Chain & Logistics Institute.

]]> Andy Haleblian 1 1363790650 2013-03-20 14:44:10 1475892180 2016-10-08 02:03:00 0 0 event The webinar will discuss maintaining levels of inventory necessary to provide customer service while minimizing inventory resulting from poor supply chain management.

2013-04-03T12:00:00-04:00 2013-04-03T13:00:00-04:00 2013-04-03T13:00:00-04:00 2013-04-03 16:00:00 2013-04-03 17:00:00 2013-04-03 17:00:00 2013-04-03T12:00:00-04:00 2013-04-03T13:00:00-04:00 America/New_York America/New_York datetime 2013-04-03 12:00:00 2013-04-03 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> webinar@scl.gatech.edu

200981 200981 image <![CDATA[FREE Webinar "Understanding and Optimizing Inventory in Supply Chains" Wednesday, April 3rd, 11am-12pm EDT]]> image/jpeg 1449179943 2015-12-03 21:59:03 1475894853 2016-10-08 02:47:33 <![CDATA[Register Online to Attend]]>
<![CDATA[OR Colloquium]]> 27187 TITLE: Bridging Stochastic and Dynamic Programming: A Unified Framework for Sequential Decision Problems

SPEAKER: Warren Powell


Stochastic programming and dynamic programming have thrived in different communities, largely motivated by different applications. Dynamic programming has long been associated with small-scale applications, plagued by the well-known “curse of dimensionality.” Stochastic programming, on the other hand, has been presented as a “richer framework” that scales to large-scale applications. In this talk, I will argue that both of these are myths. I will present a perspective that puts stochastic programming, “dynamic programming” and stochastic search into a common framework where all sequential decision problems are dynamic programs which can be solved using one of four classes of policies. I will offer a formal definition of a state variable (widely overlooked or even avoided in our community), and use this not only to show that “stochastic programming” is actually a form of dynamic programming, but also to show how widely used algorithmic strategies based on scenario trees can be streamlined. Ultimately, I hope to help provide students with a simple, easy-to-follow template for modeling stochastic dynamic problems which mimics the powerful language of mathematical programming.

]]> Anita Race 1 1363866536 2013-03-21 11:48:56 1475892180 2016-10-08 02:03:00 0 0 event 2013-03-27T13:00:00-04:00 2013-03-27T14:00:00-04:00 2013-03-27T14:00:00-04:00 2013-03-27 17:00:00 2013-03-27 18:00:00 2013-03-27 18:00:00 2013-03-27T13:00:00-04:00 2013-03-27T14:00:00-04:00 America/New_York America/New_York datetime 2013-03-27 01:00:00 2013-03-27 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> David Goldberg


<![CDATA[ISyE Undergraduate Awards Ceremony]]> 27187 Event title:  ISyE Undergraduate Awards Ceremony
When:  Thursday, April 18, 2013
Time:  11 a.m. - 1 p.m. 
Where:  ISyE Atrium

]]> Anita Race 1 1363166677 2013-03-13 09:24:37 1475892175 2016-10-08 02:02:55 0 0 event 2013-04-18T12:00:00-04:00 2013-04-18T14:00:00-04:00 2013-04-18T14:00:00-04:00 2013-04-18 16:00:00 2013-04-18 18:00:00 2013-04-18 18:00:00 2013-04-18T12:00:00-04:00 2013-04-18T14:00:00-04:00 America/New_York America/New_York datetime 2013-04-18 12:00:00 2013-04-18 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> Fran Buser


<![CDATA[Seminar]]> 27187 TITLE: Unique Technology to Help Provide Safer Care for More Patients

SPEAKER: Kunter Akbay


A multi-disciplinary team of engineers and scientist at GE Global Research Center (GRC) has been focused on the global need for improving the efficiency and the safety of patient care in the hospitals.  The unique systems approach is based on the integration of information systems, sensor technologies, and advanced computing and decisoning analytics.  The key analytics include simulation modeling, optimization, computer vision, sensor analytics, artificial intelligence, and advance software system design. The system approach is focused on answering three fundamental questions concerning design and real-time operations:  1) is the healthcare delivery system designed for efficiency or should it be re-designed?  2) Is the system operating well? Are there any near term bottlenecks? If so, can they be avoided?  3) Are the key safety protocols followed during the actual care delivery?  This seminar will provide an overview of the unique system approach to the complex problem and demonstrate some of the Industrial Engineering and Operations Research prototypes currently being validated in hospitals for Hospital Operations Management decision support.

Bio:  Kunter Akbay is a Principal Engineer at the GE Global Research Center in Niskayuna, NY.  He currently leads the hospital capacity and safety research initiatives.  He has 30+ years of experience in robust and smart process design using simulation and optimization technologies.  Prior to joining GE, Kunter had a simulation consulting business and before that he was an Associate Professor at Marquette University directing the Industrial Engineering Program.  He has B.S., MS., and Ph.D. degrees in Industrial Engineering.

]]> Anita Race 1 1363617042 2013-03-18 14:30:42 1475892175 2016-10-08 02:02:55 0 0 event 2013-03-25T12:45:00-04:00 2013-03-25T14:00:00-04:00 2013-03-25T14:00:00-04:00 2013-03-25 16:45:00 2013-03-25 18:00:00 2013-03-25 18:00:00 2013-03-25T12:45:00-04:00 2013-03-25T14:00:00-04:00 America/New_York America/New_York datetime 2013-03-25 12:45:00 2013-03-25 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> Pinar Keskinocak


<![CDATA[Faculty Candidate Seminar]]> 27187 TITLE:  High-Dimensional Change-Point Detection



 How do we quickly detect small solar flares in a large video stream generated by NASA satellites? How do we improve detection by efficient representation of high-dimensional data that is time-varying? Besides astronomical imaging, high-dimensional change-point detection also arises in many other applications including computer network intrusion detection, sensor networks, medical imaging, and epidemiology. In these problems, each dimension of the data is obtained by a sensor, and there are multiple sensors monitoring the emergence of a signal---an abrupt change in the distribution of the observations. The goal is to detect such a signal as soon as possible after it occurs, and make as few false alarms as possible. 

Two key challenges in high-dimensional change-point detection are 1) how to extract useful statistics, 2) how to find an efficient representation of the data. Many high-dimensional data exhibit low-dimensional structures such as sparsity, or the data may lie on a low-dimensional manifold. The approach I take is to exploit these low-dimensional structures in change-point detection. I will describe a mixture procedure that exploits sparsity, and MOUSSE, an online algorithm for tracking the evolving data manifold and extracts efficient statistics for change-point detection. If time permits, I will also describe some recent work on low complexity change-point detection algorithms based on dimension reduction.

About the Speaker:  Yao Xie joined Duke University as a Research Scientist in the Electrical and Computer Engineering Department at Duke University after receiving her Ph.D in Electrical Engineering (minor in Mathematics) from Stanford University in December 2011. She completed research internship at General Electric Global Research Center, Medical Image Lab in 2007, and held the General Yao-Wu Wang Stanford Graduate Fellowship from 2007 to 2010. She is interested in sequential statistical methods, statistical signal processing, big data analysis, compressed sensing, optimization, and has been involved in applications to wireless communications, sensor networks, medical and astronomical imaging.

]]> Anita Race 1 1362654811 2013-03-07 11:13:31 1475892170 2016-10-08 02:02:50 0 0 event 2013-03-12T12:00:00-04:00 2013-03-12T13:00:00-04:00 2013-03-12T13:00:00-04:00 2013-03-12 16:00:00 2013-03-12 17:00:00 2013-03-12 17:00:00 2013-03-12T12:00:00-04:00 2013-03-12T13:00:00-04:00 America/New_York America/New_York datetime 2013-03-12 12:00:00 2013-03-12 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Yajun Mei


<![CDATA[Supply Chain Executive Forum Spring 2013 Meeting]]> 27233 The Georgia Tech Supply Chain Executive Forum will hold its spring meeting May 1-2, 2013 with the theme "Supply Chains: A Risky Business". The forum will include speakers from The Coca-Cola Company, MIT, Brand Velocity, Tompkins & Associates and Firestorm and cover topics such as:  

We will host a joint-session with the Atlanta CSCMP Chapter on the afternoon of May 1st which will provide a rich networking opportunity! The forum is a by invitation only event through the Georgia Tech Supply Chain & Logistics Institute or Atlanta CSCMP Chapter.  

Georgia Tech's Supply Chain Executive Forum (SCEF), an unit of the Supply Chain & Logistics Institute, represents THE most relevant and valuable opportunity for senior supply chain executives to enhance the strategic impact of their supply chain processes and activities. The SCEF meets twice each year at Georgia Tech in Atlanta and helps its members to identify new and compelling ways to streamline operations to enhance profitability, integrate supply chain strategy with corporate strategy, and grow professionally within and beyond their current organizations.

To learn more about Georgia Tech’s Supply Chain Executive Forum, visit http://www.scl.gatech.edu/scef and read about our Fall 2012 meeting.

]]> Andy Haleblian 1 1362748428 2013-03-08 13:13:48 1475892170 2016-10-08 02:02:50 0 0 event The Georgia Tech Supply Chain Executive Forum will hold its Spring 2013 meeting May 1-2 at the Georgia Tech Global Learning Center. The Forum is a member-supported initiative that offers senior supply chain executives new and innovative ideas to enhance profitability and growth within their companies.

2013-05-01T13:00:00-04:00 2013-05-02T13:00:00-04:00 2013-05-02T13:00:00-04:00 2013-05-01 17:00:00 2013-05-02 17:00:00 2013-05-02 17:00:00 2013-05-01T13:00:00-04:00 2013-05-02T13:00:00-04:00 America/New_York America/New_York datetime 2013-05-01 01:00:00 2013-05-02 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> info@scl.gatech.edu

198061 198061 image <![CDATA[Supply Chain Executive Forum]]> image/jpeg 1449179918 2015-12-03 21:58:38 1475894851 2016-10-08 02:47:31 <![CDATA[Georgia Tech Supply Chain Executive Forum]]>
<![CDATA[Statistics Seminar]]> 27187 TITLE:  Inference and Optimalities in Estimation of Gaussian Graphical Model

SPEAKER: Harrison Zhou


Gaussian graphical model has a wide range of applications. The study of Gaussian graphical model had attracted a lot of attention recently. In this talk we consider a basic question: when is it possible to obtain statistical inference for estimation of Gaussian Graphical Model? A regression approach will be proposed to obtain asymptotically efficient estimation of each entry when the precision matrix is sufficient sparse. If the precision matrix is not sufficient sparse, i.e., the sparseness condition fails, a lower bound is established to show that it is on longer possible to achieve a parametric rate estimation of each entry by a construction of a subset of sparse precision matrices and Le Cam's Lemma.

If time permits, we apply the asymptotic normality result to do adaptive support recovery, to obtain adaptive rate-optimal estimation of the precision matrix under various matrix
l_q norms, and to do inference and estimation for a class of latent variable graphical models, without the need of the irrepresentable condition and the l_1 constraint of the precision matrix, which are commonly required in literature.

This is a joint work with Zhao Ren, Tingni Sun and Cun-Hui Zhang.

Brief Bio:

Dr. Zhou is a professor and chair in statistics department at Yale University. He received his PhD from Cornell University in 2004. He has been working on Decision theory, Le Cam theory, Shrinkage estimation and Model selection, Function (wavelet) estimation, Multiple comparisons, Functional data analysis, Covariance matrix estimation, Bioinformatics, etc. He received the Noether Young Researcher Scholar Award and Tweedie Award in 2009 and 2010, respectively. He was also a receipent of the prestigous National Science Foundation CAREER Award. He will deliver the distinguished IMS Medallion Lecture, Institute of Mathematical Statistics in 2014. More details about his research are at http://www.stat.yale.edu/~hz68/

]]> Anita Race 1 1362997375 2013-03-11 10:22:55 1475892170 2016-10-08 02:02:50 0 0 event 2013-03-14T13:00:00-04:00 2013-03-14T14:00:00-04:00 2013-03-14T14:00:00-04:00 2013-03-14 17:00:00 2013-03-14 18:00:00 2013-03-14 18:00:00 2013-03-14T13:00:00-04:00 2013-03-14T14:00:00-04:00 America/New_York America/New_York datetime 2013-03-14 01:00:00 2013-03-14 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> Xiaoming Huo


<![CDATA[Guest Speaker]]> 27187 TITLE: Game Theory: A Modern Approach to Multiagent Coordination

SPEAKER: James Marden


The central goal in multiagent systems is to design local control laws for the individual agents to ensure that the emergent global behavior is desirable with respect to a given system level objective.  Game theory is beginning to emerge as a valuable set of tools for achieving this goal. A central component of this game theoretic approach is the assignment of utility functions to the individual agents. Here, the goal is to assign utility functions within an “admissible” design space such that the resulting game possesses desirable properties, e.g., existence and efficiency of pure Nash equiibria.  Our first set of results focuses on ensuring the existence of pure Nash equilibria for a class of separable resource allocation problems that can model a wide array of applications including facility location, routing, network formation, and coverage problems.  Within this class, we prove that weighted Shapley values completely characterize the space of utility functions that guarantee the existence of a pure Nash equilibrium.  That is, if a utility design cannot be represented as a weighted Shapley value, then there exists a game for which a pure Nash equilibrium does not exist.  One of the interesting consequences of this characterization is that guaranteeing the existence of a pure Nash equilibrium necessitates the use of a game structure termed “potential games”.  To conclude this talk, we will discuss some preliminary results pertaining to characterizing the efficiency of pure Nash equilibria for such resource allocation problems. Here, we provide an analysis of two utility/cost sharing methodologies: the Shapley value and marginal contribution.  Somewhat surprisingly, it turns out that the Shapley value provides better efficiency guarantees than the marginal contribution for a broad class of systems.  This result suggests that performing a distributed gradient ascent on the true system level objective functions, which can be viewed as a marginal contribution design, may lead to inefficiencies in the resulting system behavior. 

Bio:  Jason Marden is an Assistant Professor in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado.  He received a BS in Mechanical Engineering in 2001 from UCLA, and a PhD in Mechanical Engineering in 2007, also from UCLA, under the supervision of Jeff S. Shamma, where he was awarded the Outstanding Graduating PhD Student in Mechanical Engineering.  After graduating from UCLA, he served as a junior fellow in the Social and Information Sciences Laboratory at the California Institute of Technology until 2010 when he joined the University of Colorado.  In 2012, he received the Donald P. Eckman award and an AFOSR Young Investigator Award.  His research interests focus on game theoretic methods for feedback control of distributed multiagent systems.

]]> Anita Race 1 1361891009 2013-02-26 15:03:29 1475892166 2016-10-08 02:02:46 0 0 event 2013-03-05T10:00:00-05:00 2013-03-05T11:00:00-05:00 2013-03-05T11:00:00-05:00 2013-03-05 15:00:00 2013-03-05 16:00:00 2013-03-05 16:00:00 2013-03-05T10:00:00-05:00 2013-03-05T11:00:00-05:00 America/New_York America/New_York datetime 2013-03-05 10:00:00 2013-03-05 11:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[OR Colloquium]]> 27187 TITLE: Quadratic Programs with On-Off Constraints

SPEAKER:  Dr. Jeff Linderoth


We study optimization problems that involve both quadratic functional relationships between decision variables and 0-1 indicator variables that turn on and off these relationships. Problems of this class occur in many areas, including statistics, financial engineering, and engineering design. After reviewing earlier work on a reformulation technique applicable to the case when the quadratic functions are separable, we discuss on-going research aimed at attacking the non-separable case. We introduce an important set to study in this context that generalizes both the BoxQP set, studied by Burer and Letchford, and the well-known Boolean Quadric Polytope. We discuss the relative importance of families of valid inequalities for this set, and we show how one important class can be separated in polynomial time if the dimension is fixed. We conclude with computational results to demonstrate the utility of these inequalities on practical portfolio optimization instances. This is joint work with Hongbo Dong.


Jeff Linderoth is a Professor in the departments of Industrial and Systems Engineering and Computer Sciences (by courtesy) at the University of Wisconsin-Madison, joining both departments in 2007. Dr. Linderoth received his Ph.D. degree from the Georgia Institute of Technology in 1998. From 1998-2000, he was employed with the Mathematics and Computer Science Division at Argonne National Laboratory, and from 2000-2002, he was a Senior Consultant with the optimization-based financial products firm of Axioma Inc. Prior to joining University of Wisconsin-Madison, from 2002-2007, he was a Assistant Professor at Lehigh University, where he co-founded COR@L (the Center for Optimization Research @ Lehigh). In 1999, Dr. Linderoth was named the Enrico Fermi Scholar at Argonne National Lab. In 2002, Dr. Linderoth was a co-recipient of the SIAM/Activity Group on Optimization Prize, and in 2005 he was awarded an Early Career Development Award from the Department of Energy and an IBM Faculty Partnership award. Dr. Linderoth currently serves on the editorial boards of 4 journals.

]]> Anita Race 1 1362396548 2013-03-04 11:29:08 1475892166 2016-10-08 02:02:46 0 0 event 2013-03-06T10:00:00-05:00 2013-03-06T11:00:00-05:00 2013-03-06T11:00:00-05:00 2013-03-06 15:00:00 2013-03-06 16:00:00 2013-03-06 16:00:00 2013-03-06T10:00:00-05:00 2013-03-06T11:00:00-05:00 America/New_York America/New_York datetime 2013-03-06 10:00:00 2013-03-06 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> David Goldberg


<![CDATA[Faculty Candidate Seminar]]> 27187 TITLE: Joint Optimization of Sampling and Control for Failing Systems Under Partial Observations

SPEAKER: Michael J. Kim


Stochastic control problems that arise in condition-based maintenance typically assume that information used for decision-making is obtained according to a pre-determined sampling schedule. In many real applications however, there is a high sampling cost associated with collecting such data. It is therefore of equal importance to determine when information should be collected as it is to decide how this information should be utilized for maintenance decision-making. This type of joint optimization has been a long-standing problem in the operations research and maintenance optimization literature, and very few results regarding the structure of the optimal sampling and maintenance policy have been published. In this talk, we formulate and analyze the joint optimization of sampling and maintenance decision-making in the partially observable Markov decision process (POMDP) framework. We prove the optimality of a policy that is characterized by three critical thresholds, which have practical interpretation and give new insight into the value of condition-based maintenance programs in life-cycle asset management.

SHORT BIO:   Michael Kim is currently an NSERC Postdoctoral Fellow at the University of California, Berkeley in the Department of Industrial Engineering and Operations Research. He is also a visiting Senior Fellow in the Department of Decision Sciences at the National University of Singapore Business School. He received his B.A.Sc. in industrial engineering, M.Sc. in mathematics, and Ph.D. in industrial engineering, from the University of Toronto. His research interests are in stochastic operations research and applied statistics with applications in manufacturing, healthcare decision making, and business analytics. For his recent contributions to these areas, Mike was awarded the first place prize in the 2012 Canadian Operational Research Society (CORS) paper competition, and was the sole Canadian recipient of the 2012 Dimitris N. Chorafas Foundation Award. He has also conducted research collaborations with the Ministry of Transportation of Ontario, and Syncrude, one of the world’s largest producers of synthetics crude oil.

]]> Anita Race 1 1361525423 2013-02-22 09:30:23 1475892162 2016-10-08 02:02:42 0 0 event 2013-02-26T10:00:00-05:00 2013-02-26T11:00:00-05:00 2013-02-26T11:00:00-05:00 2013-02-26 15:00:00 2013-02-26 16:00:00 2013-02-26 16:00:00 2013-02-26T10:00:00-05:00 2013-02-26T11:00:00-05:00 America/New_York America/New_York datetime 2013-02-26 10:00:00 2013-02-26 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> Nagi Gebraeel


<![CDATA[SIAC Seminar]]> 27187 TITLE: Earthquake seismology, state-of-the-art and future directions

SPEAKER: Dr. Zhigang Peng


Seismology is a relatively new scientific field that uses seismic waves to study the interior of the Earth or other solid bodies and the seismic sources. Thanks to the recent advancement in sensing technology and data storage devices, seismic data are now routinely recorded in continuous mode. This has opened up many exciting new research directions in seismology, including identification of deep tectonic tremor along major plate-boundary faults around the world, and imaging of subsurface structures based on cross-correlations of continuous ambient noise signals. In this talk, I first summarize updated research results from these directions, followed by several case studies that utilize a waveform matching technique to identify new seismic events from continuous data. Finally, I will provide a list of future directions in earthquake seismology and possible areas for collaborations.

Dr. Zhigang Peng is an associate professor of geophysics in the School of Earth and Atmospheric Sciences at Georgia Institute of Technology. His research mainly focuses on active fault zone structures and earthquake physics. Over the past 6 years, he has received a total of more than $1 million research funding from National Science Foundation, United States Geologic Survey, Southern California Earthquake Center, etc. Dr. Peng has published more than 50 papers in peer-reviewed journals such as Nature Geosciences, Sciences, Journal of Geophysical Research (JGR), Geophysical Research Letters, etc. His H-index is 16, and his research results have been widely reported by major news and scientific media around the world. He is currently an associated editor for JGR and Bulletin of Seismological Society of America. Dr. Peng is a recipient of the NSF CAREER award, and the Charles Richter Award from the Seismological Society of America (SSA).

Dr. Peng was born in 1975 in Sichuan Province, China. He got his B.S. in the University of Science of Technology of China in 1998 and his Ph.D. in University of Southern California in 2004.

]]> Anita Race 1 1361540086 2013-02-22 13:34:46 1475892157 2016-10-08 02:02:37 0 0 event 2013-03-01T10:00:00-05:00 2013-03-01T11:00:00-05:00 2013-03-01T11:00:00-05:00 2013-03-01 15:00:00 2013-03-01 16:00:00 2013-03-01 16:00:00 2013-03-01T10:00:00-05:00 2013-03-01T11:00:00-05:00 America/New_York America/New_York datetime 2013-03-01 10:00:00 2013-03-01 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> Kamran Paynabar


<![CDATA[Seminar]]> 27187 TITLE:  Cloud computing: survey of optimization problems

SPEAKER: Ilyas Iyoob


The term ‘cloud’ is becoming increasingly popular in the IT world, and in spite of all the skepticism, a large number of early adopters are working with us to test and validate the feasibility of cloud computing.  The complexity of the cloud combined with the extensive amounts of data collected, causes it to be a very attractive candidate for stochastic modeling and optimization, but little has been done in this field because of (1) the immaturity in cloud technology, and (2) the lack of standardization.

In this talk, we first introduce cloud computing from an OR perspective, followed by a classification of optimization problems in this space using a supply chain analogy.  We list the different stochastic modeling and optimization problems to be solved by each echelon in the cloud IT supply chain: cloud providers, cloud consumers, and cloud brokers. Finally, we describe a case study from the State of Texas that shows that the true benefits of cloud computing can be acquired only through rigorous application of analytics and optimization to the planning and execution of the cloud.

]]> Anita Race 1 1360592468 2013-02-11 14:21:08 1475892153 2016-10-08 02:02:33 0 0 event 2013-02-15T10:00:00-05:00 2013-02-15T11:00:00-05:00 2013-02-15T11:00:00-05:00 2013-02-15 15:00:00 2013-02-15 16:00:00 2013-02-15 16:00:00 2013-02-15T10:00:00-05:00 2013-02-15T11:00:00-05:00 America/New_York America/New_York datetime 2013-02-15 10:00:00 2013-02-15 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> Ton Dieker


<![CDATA[Guest Speaker]]> 27187 TITLE: Gradient-based Adaptive Stochastic Search

SPEAKER: Enlu Zhou


Gradient-based adaptive stochastic search (GASS) is an algorithm for solving general optimization problems with little structure. GASS iteratively finds high quality solutions by randomly sampling candidate solutions from a parameterized distribution model over the solution space. The basic idea is to convert the original (possibly non-continuous, non-differentiable) problem into a differentiable optimization problem on the parameter space of the parameterized sampling distribution, and then use a direct gradient search method to find improved sampling distributions. Thus, GASS combines the robustness feature of stochastic search by considering a population of candidate solutions with the relative fast convergence speed of classical gradient methods. The convergence and converge rate properties of the algorithm are analyzed. The performance of the algorithm is illustrated on a number of benchmark problems and a resource allocation problem in communication networks.


Enlu Zhou received the B.S. degree with highest honors in electrical engineering from Zhejiang University, China, in 2004, and the Ph.D. degree in electrical engineering from the University of Maryland, College Park, in 2009. Since then she has been an Assistant Professor at the Industrial & Enterprise Systems Engineering Department at the University of Illinois Urbana-Champaign. Her research interests include simulation optimization, Markov decision processes, and Monte Carlo statistical methods. She is a recipient of the “Best Theoretical Paper” award at the 2009 Winter Simulation Conference and the 2012 AFOSR Young Investigator award.

]]> Anita Race 1 1360662854 2013-02-12 09:54:14 1475892153 2016-10-08 02:02:33 0 0 event 2013-02-28T10:00:00-05:00 2013-02-28T11:00:00-05:00 2013-02-28T11:00:00-05:00 2013-02-28 15:00:00 2013-02-28 16:00:00 2013-02-28 16:00:00 2013-02-28T10:00:00-05:00 2013-02-28T11:00:00-05:00 America/New_York America/New_York datetime 2013-02-28 10:00:00 2013-02-28 11:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[Manufacturing Brown Bag Seminar]]> 27187 TITLE: Innovation in Food and Poultry Processing

SPEAKER:  Doug Britton


With the world population estimated to grow by 30% to 9.1 billion by the year 2050, and the realization that arable land is actually decreasing as a result, the old adage of “doing more with less” is a distinct reality when it comes to the world’s food production systems. And within this conundrum lies an opportunity for transformational innovation in a domain that has been around as long as life itself – Food! Agriculture and Food are not often the subject of traditional engineering or manufacturing educations, but given the challenges associated with feeding a growing world, the opportunities will fall in the collaborative spaces between the modern agricultural sciences and the core engineering disciplines. This talk will present the variety of research activities ongoing in the Agricultural Technology Research Program at Georgia Tech. We will also discuss the unique challenges of meeting food safety requirements, the manipulating food and poultry products that are not uniform, as well as some of the environmental impact considerations for a modern food manufacturing facility.  Finally, we will define and discuss transformational innovation with respect to the food and agriculture space, and talk about the opportunities for reinventing the animal agriculture production and processing facilities of the future.  What should they look like, and how do we get there?

]]> Anita Race 1 1360663098 2013-02-12 09:58:18 1475892153 2016-10-08 02:02:33 0 0 event 2013-02-25T11:00:00-05:00 2013-02-25T12:00:00-05:00 2013-02-25T12:00:00-05:00 2013-02-25 16:00:00 2013-02-25 17:00:00 2013-02-25 17:00:00 2013-02-25T11:00:00-05:00 2013-02-25T12:00:00-05:00 America/New_York America/New_York datetime 2013-02-25 11:00:00 2013-02-25 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> Tina Guldberg


Georgia Tech Manufacturing Institute

(404) 385-4950

<![CDATA[Manufacturing Brown Bag Seminar]]> 27187 TITLE: Biomanufacturing of Stem Cells

SPEAKER: Todd McDevitt


The McDevitt Laboratory for the Engineering of Stem Cell Technologies is focused on the development and application of engineering principles to translate the potential of stem cells into viable regenerative therapies and in vitro diagnostics. Biomaterials-based approaches are used to engineer the microenvironment of stem cells in order to improve the efficiency and homogeneity of directed stem cell differentiation strategies.

In addition, the McDevitt laboratory’s research focuses on development of novel regenerative molecular therapies from natural biomaterials produced by stem cells. The combination of directed stem cell differentiation and development of stem cell-derived biomaterials is expected to yield fresh insights into stem cell biology, facilitate new regenerative therapies and create novel cell diagnostic platforms. The McDevitt laboratory research is supported by funding from the National Institutes of Health, National Science Foundation, American Heart Association and the Georgia Research Alliance, among others.

McDevitt was named the 2010 Society for Biomaterials Young Investigator from the Society of Biomaterials. He was appointed as a Petit Faculty Fellow in the Institute for Bioengineering and Bioscience in September 2009 and named the Director of the new Stem Cell Engineering Center at Georgia Tech, which launched in 2010. It is the first center of its kind in the United States will bring together expertise from different engineering disciplines to address key technical challenges that currently limit the translation of stem cells and to innovate new technologies that will enhance basic stem cell research.

]]> Anita Race 1 1360663276 2013-02-12 10:01:16 1475892153 2016-10-08 02:02:33 0 0 event 2013-03-04T11:00:00-05:00 2013-03-04T12:00:00-05:00 2013-03-04T12:00:00-05:00 2013-03-04 16:00:00 2013-03-04 17:00:00 2013-03-04 17:00:00 2013-03-04T11:00:00-05:00 2013-03-04T12:00:00-05:00 America/New_York America/New_York datetime 2013-03-04 11:00:00 2013-03-04 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> Tina Guldberg


Georgia Tech Manufacturing Institute

(404) 385-4950

<![CDATA[Manufacturing Brown Bag Seminar]]> 27187 TITLE: Precision Machining

SPEAKER: Shreyes Melkote

]]> Anita Race 1 1360663428 2013-02-12 10:03:48 1475892153 2016-10-08 02:02:33 0 0 event 2013-03-11T13:00:00-04:00 2013-03-11T14:00:00-04:00 2013-03-11T14:00:00-04:00 2013-03-11 17:00:00 2013-03-11 18:00:00 2013-03-11 18:00:00 2013-03-11T13:00:00-04:00 2013-03-11T14:00:00-04:00 America/New_York America/New_York datetime 2013-03-11 01:00:00 2013-03-11 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> Tina Guldberg


Georgia Tech Manufacturing Institute

(404) 385-4950

<![CDATA[Manufacturing Brown Bag Seminar]]> 27187 TITLE: Automation Expo

SPEAKER: Charlie Post

]]> Anita Race 1 1360663524 2013-02-12 10:05:24 1475892153 2016-10-08 02:02:33 0 0 event 2013-03-25T13:00:00-04:00 2013-03-25T14:00:00-04:00 2013-03-25T14:00:00-04:00 2013-03-25 17:00:00 2013-03-25 18:00:00 2013-03-25 18:00:00 2013-03-25T13:00:00-04:00 2013-03-25T14:00:00-04:00 America/New_York America/New_York datetime 2013-03-25 01:00:00 2013-03-25 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> Tina Guldberh


Georgia Tech Manufacturing Institute

(404) 385-4950

<![CDATA[Manufacturing Brown Bag Seminar]]> 27187 TITLE: Manufacturing Policy Issues

SPEAKER: Dr. Jennifer Clark

]]> Anita Race 1 1360663626 2013-02-12 10:07:06 1475892153 2016-10-08 02:02:33 0 0 event 2013-04-01T13:00:00-04:00 2013-04-01T14:00:00-04:00 2013-04-01T14:00:00-04:00 2013-04-01 17:00:00 2013-04-01 18:00:00 2013-04-01 18:00:00 2013-04-01T13:00:00-04:00 2013-04-01T14:00:00-04:00 America/New_York America/New_York datetime 2013-04-01 01:00:00 2013-04-01 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> Tina Guldberg


Georgia Tech Manufacturing Institute

(404) 385-4950

<![CDATA[Manufacturing Brown Bag Seminar]]> 27187 TITLE: Additive Manufacturing's Impact on Supply Chain

SPEAKER: Dr. Chip White

]]> Anita Race 1 1360663735 2013-02-12 10:08:55 1475892153 2016-10-08 02:02:33 0 0 event 2013-04-15T13:00:00-04:00 2013-04-15T14:00:00-04:00 2013-04-15T14:00:00-04:00 2013-04-15 17:00:00 2013-04-15 18:00:00 2013-04-15 18:00:00 2013-04-15T13:00:00-04:00 2013-04-15T14:00:00-04:00 America/New_York America/New_York datetime 2013-04-15 01:00:00 2013-04-15 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> Tina Guldberg


Georgia Tech Manufacturing Institute

(404) 385-4950

<![CDATA[Manufacturing Brown Bag Seminar]]> 27187 SPEAKER: Page Siplon, Georgia Center of Innovation for Logistics

]]> Anita Race 1 1360663854 2013-02-12 10:10:54 1475892153 2016-10-08 02:02:33 0 0 event 2013-04-22T13:00:00-04:00 2013-04-22T14:00:00-04:00 2013-04-22T14:00:00-04:00 2013-04-22 17:00:00 2013-04-22 18:00:00 2013-04-22 18:00:00 2013-04-22T13:00:00-04:00 2013-04-22T14:00:00-04:00 America/New_York America/New_York datetime 2013-04-22 01:00:00 2013-04-22 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> Tina Guldberg


Georgia Tech Manufacturing Institute

(404) 385-4950

<![CDATA[Manufacturing Brown Bag Seminar]]> 27187 TITLE: Research Strategy at Georgia Tech

SPEAKER: Dr. Steve Cross

]]> Anita Race 1 1360663947 2013-02-12 10:12:27 1475892153 2016-10-08 02:02:33 0 0 event 2013-04-29T13:00:00-04:00 2013-04-29T14:00:00-04:00 2013-04-29T14:00:00-04:00 2013-04-29 17:00:00 2013-04-29 18:00:00 2013-04-29 18:00:00 2013-04-29T13:00:00-04:00 2013-04-29T14:00:00-04:00 America/New_York America/New_York datetime 2013-04-29 01:00:00 2013-04-29 02:00:00 America/New_York America/New_York datetime <![CDATA[]]> Tina Guldberg


Georgia Tech Manufacturing Institute

(404) 385-4950

<![CDATA[OR Colloquium]]> 27187 TITLE: Packing Ellipsoids with Overlap (with application to Chromosome Arrangement)


SPEAKER: Stephen Wright



Problems of packing shapes with maximal density, sometimes into a container of restricted size, are classical in discrete mathematics. We describe here the problem of packing a given set of ellipsoids of different sizes into a finite container, in a way that allows overlap but that minimizes the maximum overlap between adjacent ellipsoids. We describe a bilevel optimization algorithm for finding local solutions of this problem, both the general case and the simpler special case in which the ellipsoids are spheres. Tools from conic optimization, especially semidefinite programming, are key to the algorithm. Finally, we describe the motivating application - chromosome arrangement in cell nuclei - and compare the computational results obtained with this approach to experimental observations.

This talk represents joint work with Caroline Uhler (IST Austria)

BIO:  Stephen J. Wright is a Professor of Computer Sciences at the University of Wisconsin-Madison. His research interests lie in computational optimization and its applications to science and engineering. Prior to joining UW-Madison in 2001, Wright was at Argonne National Laboratory (1990-2001), and was a Professor of Computer Science at the University of Chicago (2000-2001). During 2007-2010, he served as chair of the Mathematical Optimization
Society, and he is currently serving a third term as an elected member of the Board of Trustees of the Society for Industrial and Applied Mathematics (SIAM). Wright is the author or co-author of widely used books in numerical optimization including "Primal Dual Interior-Point
Methods" (SIAM, 1997) and "Numerical Optimization" (2nd Edition, Springer, 2006, with J. Nocedal). He has also authored over 95 refereed journal papers on optimization theory, algorithms, software, and applications, along with over 40 refereed conference papers and
book chapters. He is coauthor of widely used software for linear programming (PCx) and quadratic programming (OOQP) based on interior-point methods, and GPSR and SpaRSA for compressed sensing. His recent work has included optimization algorithms for problems in machine learning and computational biology.

]]> Anita Race 1 1360065518 2013-02-05 11:58:38 1475892148 2016-10-08 02:02:28 0 0 event 2013-02-13T10:00:00-05:00 2013-02-13T11:00:00-05:00 2013-02-13T11:00:00-05:00 2013-02-13 15:00:00 2013-02-13 16:00:00 2013-02-13 16:00:00 2013-02-13T10:00:00-05:00 2013-02-13T11:00:00-05:00 America/New_York America/New_York datetime 2013-02-13 10:00:00 2013-02-13 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> David Goldberg


<![CDATA[FREE Webinar "Engineering Your Warehouse" on Thursday, Feb 28, 1:30pm-2:30pm EST]]> 27233 Managing the warehouse by "ABC" analysis gets you the big obvious efficiencies --- but we will show how you may be able to secure another level of efficiencies that is as large in aggregate! Attend this webinar and receive a promo code for $400 off the course held in Atlanta April 2-4, 2013.

“ABC" treats all SKUs as if they were one of three types, and otherwise identical within types. This made sense before computers but it makes no sense now, when computers enable us to manage individual SKUs. Saving a centimeter here and five seconds there, when summed over many transactions and many pallets/cases/pieces, can add up to significant efficiencies!

Presented by Dr. John Bartholdi, Manhattan Associates Chair of Supply Chain and Research Director, Georgia Tech Supply Chain & Logistics Institute.

Register Online at https://attendee.gotowebinar.com/register/3977128519380583424.

]]> Andy Haleblian 1 1360077684 2013-02-05 15:21:24 1475892148 2016-10-08 02:02:28 0 0 event Managing the warehouse by "ABC" analysis gets you the big obvious efficiencies --- but we will show how you may be able to secure another level of efficiencies that is as large in aggregate!

2013-02-28T12:30:00-05:00 2013-02-28T13:30:00-05:00 2013-02-28T13:30:00-05:00 2013-02-28 17:30:00 2013-02-28 18:30:00 2013-02-28 18:30:00 2013-02-28T12:30:00-05:00 2013-02-28T13:30:00-05:00 America/New_York America/New_York datetime 2013-02-28 12:30:00 2013-02-28 01:30:00 America/New_York America/New_York datetime <![CDATA[]]> webinar@scl.gatech.edu

189941 189941 image <![CDATA[Engineering Your Warehouse webinar]]> image/jpeg 1449179848 2015-12-03 21:57:28 1475894838 2016-10-08 02:47:18
<![CDATA[OR Colloquium]]> 27187 TITLE: On the Structure of Reduced Kernel Lattice Bases

SPEAKER: Karen Aardal


Lattice-based reformulation techniques have been used successfully both theoretically and computationally. One such reformulation is obtained from the lattice $L_0=\{x\in Z^n\mid Ax = 0\}$. Some of the hard instances in the literature that have been successfully tackled by lattice-based techniques, such as market split and certain classes of knapsack instances, have randomly generated input $A$. These instances have been posed to stimulate algorithmic research. Since the considered instances are very hard even in low dimension, less experience is available for larger instances. Recently we have studied larger instances and observed that the LLL-reduced basis of $L_0$ has a specific sparse structure. In particular, this translates into a map in which some of the original variables get a ``rich'' translation into a new variable space, whereas some variables are only substituted in the new space. If an original variable is important in the sense of branching or cutting planes, this variable should be translated in a non-trivial way. In this paper we partially explain the obtained structure of the LLL-reduced basis in the case that the input matrix $A$ consists of one row $a$. Since the input is randomly generated our analysis will be probabilistic. The key ingredient is a bound on the probability that the LLL algorithm will interchange two subsequent basis vectors. It is worth noticing that computational experiments indicate that the results of this analysis seem to apply in the same way also in the general case that $A$ consists of multiple rows. Our analysis has yet to be extended to this general case. Along with our analysis we also present some computational indications that illustrate that the probabilistic analysis conforms well with the practical behavior. This is joint work with Frederik von Heymann.


Karen Aardal obtained her PhD from C.O.R.E, Universite' Catholique de Louvain, Belgium and has since then held positions at University of Essex, UK, Georgia Tech, Atlanta, GA, USA, and at various universities in The Netherlands. Currently she holds the position of professor of Optimization at Delft University of Technology.

Her main research interest is integer programming, and in particular algebraic approaches to integer programming. She is interested in combinatorial optimization, in particular in facility location. In terms of applications she is currently involved in a large Dutch project aiming at improving all aspects of ambulance planning, and in a European project on electricity networks.

She has served on the Council of the Mathematical Optimization Society, MOS. She has been the Publications Committee Chair and the Chair of the Executive Committee of MOS. She is a member of the board of directors of INFORMS Computing Society. She is the Area Editor for "Design and analysis of algorithms" of INFORMS Journal on Computing. She also serve on the boards of Mathematical Programming Series B, Networks, EURO Journal on Computational Optimization, and RAIRO - Operations Research.

]]> Anita Race 1 1359369205 2013-01-28 10:33:25 1475892139 2016-10-08 02:02:19 0 0 event 2013-01-29T10:00:00-05:00 2013-01-29T11:00:00-05:00 2013-01-29T11:00:00-05:00 2013-01-29 15:00:00 2013-01-29 16:00:00 2013-01-29 16:00:00 2013-01-29T10:00:00-05:00 2013-01-29T11:00:00-05:00 America/New_York America/New_York datetime 2013-01-29 10:00:00 2013-01-29 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> David Goldberg


<![CDATA[Faculty Candidate Seminar]]> 27187 TITLE: New Approximations and Algorithms for Stabilizing Time Varying Queues


We develop two new algorithms for stabilizing time varying queues delay probabilities by expanding the queue length in terms of Hermite polynomials.  The first algorithm uses the mean and variance of the queue length.  The second algorithm uses the mean, variance, and skewness of the queue length.  We show that the skewness helps in stabilizing the queue length at positive target values, especially when the queue is critically loaded.  We illustrate through several simulation studies the added benefit of using higher moments of the queue length distribution.   

]]> Anita Race 1 1359544301 2013-01-30 11:11:41 1475892139 2016-10-08 02:02:19 0 0 event 2013-01-31T10:00:00-05:00 2013-01-31T11:00:00-05:00 2013-01-31T11:00:00-05:00 2013-01-31 15:00:00 2013-01-31 16:00:00 2013-01-31 16:00:00 2013-01-31T10:00:00-05:00 2013-01-31T11:00:00-05:00 America/New_York America/New_York datetime 2013-01-31 10:00:00 2013-01-31 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> David Goldberg


<![CDATA[FREE Webinar "Health and Humanitarian Logistics Professional Education" on Tuesday March 26, 10:00am-11:00am EDT]]> 27233 Please join us as Dr. Dima Nazzal presents an overview of the certificate program in Health and Humanitarian Logistics. Dima will discuss course content, learning approaches and timelines of the program which is currently taking on new students for the two upcoming courses in May. First-time participants who attend this webinar will receive a promo code for $250 off one 2013 HHL course (promo code does not apply to scholarship recipients).

The Georgia Tech Center for Health and Humanitarian Logistics is excited to begin its second year of Health and Humanitarian Logistics Professional Education courses. This executive learning program is designed for practitioners in non-governmental organizations, government, and industries who are active participants in humanitarian relief operations or long-term health or development environments and are seeking to develop logistics strategies and to build skills to improve decision making in preparedness, response and system design.

The three course series fulfills the need for greater capacity building in the health and humanitarian sectors and the completion of all three courses results in a logistics certificate. Our courses are taught by world-renowned, award winning experts in health and humanitarian systems. Click on a course below for more information.

Register online at https://www3.gotomeeting.com/register/443020774.

]]> Andy Haleblian 1 1362743797 2013-03-08 11:56:37 1475892139 2016-10-08 02:02:19 0 0 event Please join us as Dr. Dima Nazzal presents an overview of the certificate program in Health and Humanitarian Logistics. Dima will discuss course content, learning approaches and timelines of the program.

2013-03-26T11:00:00-04:00 2013-03-26T12:00:00-04:00 2013-03-26T12:00:00-04:00 2013-03-26 15:00:00 2013-03-26 16:00:00 2013-03-26 16:00:00 2013-03-26T11:00:00-04:00 2013-03-26T12:00:00-04:00 America/New_York America/New_York datetime 2013-03-26 11:00:00 2013-03-26 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> webinar@scl.gatech.edu

165451 165451 image <![CDATA[2012 Health & Humanitarian Logistics Professional Education Certificate Recipients]]> image/jpeg 1449178936 2015-12-03 21:42:16 1475894801 2016-10-08 02:46:41 <![CDATA[Learn more about the program]]>
<![CDATA[Faculty Candidate Seminar]]> 27187 TITLE: Filtered Likelihood for Point Processes and Applications in Credit Risk

SPEAKER: Gustavo Schwenkler


We develop likelihood estimators of the parameters of a marked point process and of incompletely observed explanatory factors that influence the arrival intensity and mark distribution. We provide conditions guaranteeing consistency and asymptotic normality as the sample period grows. We also establish an approximation to the likelihood and analyze the convergence and asymptotic properties of the associated estimators. We apply these estimators in an empirical study of the sources of corporate default clustering in the United States. Both frailty and contagion, by which the default by one firm has a direct impact on the health of other firms, are significant sources of default clustering between 1970 and 2010. These findings have important implications for risk management and the regulation of financial markets.

]]> Anita Race 1 1359026292 2013-01-24 11:18:12 1475892135 2016-10-08 02:02:15 0 0 event 2013-02-12T10:00:00-05:00 2013-02-12T11:00:00-05:00 2013-02-12T11:00:00-05:00 2013-02-12 15:00:00 2013-02-12 16:00:00 2013-02-12 16:00:00 2013-02-12T10:00:00-05:00 2013-02-12T11:00:00-05:00 America/New_York America/New_York datetime 2013-02-12 10:00:00 2013-02-12 11:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[Impact Series speaker - Walt Ehmer, IE 1998]]> 27187 Walt Ehmer is the president and Chief Operating Officer of Waffle House. He is also a Georgia Tech College of Engineering Distinguished Alumnus (IE '89). On Februray 6, he will speak to students, faculty, staff, and community members as part of the IMPACT Series. All are welcome to attend this event at 4:30 p.m. in the Scheller College of Business.
The series is free and open to the public, and reservations are not required.

]]> Anita Race 1 1359026504 2013-01-24 11:21:44 1475892135 2016-10-08 02:02:15 0 0 event 2013-02-06T15:30:00-05:00 2013-02-06T16:30:00-05:00 2013-02-06T16:30:00-05:00 2013-02-06 20:30:00 2013-02-06 21:30:00 2013-02-06 21:30:00 2013-02-06T15:30:00-05:00 2013-02-06T16:30:00-05:00 America/New_York America/New_York datetime 2013-02-06 03:30:00 2013-02-06 04:30:00 America/New_York America/New_York datetime <![CDATA[]]> Dori Pap

<![CDATA[Faculty Candidate Seminar]]> 27187 TITLE: Differentiated Service of Heterogeneous Customers in Overloaded Systems

SPEAKER:  Otis Jennings


Consider a firm whose heterogeneous customer base is sensitive to delays and has demands that exceed the firm’s currently unadjustable processing capacity. One example is an urban emergency department; another is an airport's landing strip during extended intervals of inclement weather. We model such settings as multiclass, overloaded queueing systems with customer abandonment. In such settings, quality of service (QoS) – and indeed whether service takes place at all – is highly dependent upon the order in which customers are processed. We consider two service disciplines. Under FIFO, whereby sufficiently patient customers are served in the order of their arrival, customers receive approximately the same QoS, measured in terms of delay until service initiation, regardless of customer type. We also consider Generalized Round Robin, a family of policies that allows the scheduler to provide differentiated QoS across customer types. This latter policy can be used, for example, to ensure high levels of service for critical customer segments, such as high acuity patients, while not neglecting other segments entirely. 


]]> Anita Race 1 1358426803 2013-01-17 12:46:43 1475892130 2016-10-08 02:02:10 0 0 event 2013-01-22T10:00:00-05:00 2013-01-22T11:00:00-05:00 2013-01-22T11:00:00-05:00 2013-01-22 15:00:00 2013-01-22 16:00:00 2013-01-22 16:00:00 2013-01-22T10:00:00-05:00 2013-01-22T11:00:00-05:00 America/New_York America/New_York datetime 2013-01-22 10:00:00 2013-01-22 11:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[Statistics Seminar]]> 27187 Statistics (Student) Seminar

SPEAKER:  Matthias H.Y. Tan


Although traditional quality improvement methods have been successfully applied in numerous contexts, they are not applicable to many modern manufacturing systems. Two recent manufacturing trends that pose significant challenges to the quality engineering community are production of small batches of high value products and the use of computer simulations for product design. This talk consists of two parts.

In the first part, I will present generalized selective assembly, which is a quality improvement method for small batches of high value products. Selective assembly has traditionally been used to achieve tight specifications on the clearance of two mating parts. We develop a generalized version of selective assembly, called GSA, for improving the quality of assemblies with any number of components and any known assembly response function. Two variants of GSA are introduced: direct selective assembly and fixed bin selective assembly.

In the second part, I will present a statistical methodology for robust design with computer experiments. Gaussian process (GP) models are widely employed in computer experiments to model quality characteristics as functions of control and noise factors. These models enable the average loss to be estimated without time-consuming simulations. However, robust design optimization performed as if the GP predictor were the true response function can give misleading results. We propose expected quadratic loss criteria that take into account uncertainty about the true function, and methods based on the Lugannani-Rice saddlepoint approximation for constructing accurate credible intervals for the average quadratic loss.

Contact: mtan6@gatech.edu

]]> Anita Race 1 1357718431 2013-01-09 08:00:31 1475892115 2016-10-08 02:01:55 0 0 event 2013-01-15T11:00:00-05:00 2013-01-15T12:00:00-05:00 2013-01-15T12:00:00-05:00 2013-01-15 16:00:00 2013-01-15 17:00:00 2013-01-15 17:00:00 2013-01-15T11:00:00-05:00 2013-01-15T12:00:00-05:00 America/New_York America/New_York datetime 2013-01-15 11:00:00 2013-01-15 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> Dr. Jeff Wu


<![CDATA[Statistics Seminar]]> 27187 Statistics (Student) Seminar

TITLE: Non-stationary and non-Gaussian surrogate models

SPEAKER: Rui Tuo (visiting Dr. Jeff Wu)


Emulators are central in the modeling of computer experiments. As the development of the computational techniques, we are able to simulate complex physical systems more accurately. Existing methods, specifically the stationary Gaussian process models, may be inadequate to meet the demands of modern computer simulations when the computer code has tunable precision or the response surface is highly fluctuated. This talk consists of two parts.

In the first part, I consider deterministic computer experiments with real-valued tuning parameters which determine the accuracy of the numerical algorithm. A prominent example is finite element analysis with its mesh density as the tuning parameter. The aim is to integrate computer outputs with different tuning parameters. Novel non-stationary Gaussian process models are proposed to establish a framework consistent with the results in numerical analysis. Numerical studies show the advantages of the proposed method over existing methods. The methodology is illustrated with a problem in casting simulation.

In the second part, I discuss the conditional inference for ?-stable processes. We introduce a new class of ?-stable processes. The finite dimensional distributions of these stochastic processes can be represented using independent stable random variables. This representation allows for Bayesian inference for the proposed statistical model. We can obtain the posterior distributions for the untried points as well as the model parameters through an MCMC algorithm. The computation for the representation requires some geometrical information given by the design points. We propose an efficient algorithm to solve this computational geometry problem. Two examples are given to illustrate the proposed method and its potential advantages.

Contact: rtuo3@mail.gatech.edu

]]> Anita Race 1 1357718604 2013-01-09 08:03:24 1475892115 2016-10-08 02:01:55 0 0 event 2013-01-22T11:00:00-05:00 2013-01-22T12:00:00-05:00 2013-01-22T12:00:00-05:00 2013-01-22 16:00:00 2013-01-22 17:00:00 2013-01-22 17:00:00 2013-01-22T11:00:00-05:00 2013-01-22T12:00:00-05:00 America/New_York America/New_York datetime 2013-01-22 11:00:00 2013-01-22 12:00:00 America/New_York America/New_York datetime <![CDATA[]]> Dr. Jeff Wu


<![CDATA[Statistics Seminar]]> 27187 TITLE: Nonparametric Maximum Likelihood Approach to Multiple Change-Point Problems

SPEAKER: Changliang Zou (visiting Dr. Jeff Wu)


In multiple change-point problems, different data segments follow different distributions where changes may be in the mean, scale or the entire distribution from one segment to another. Without the need to know the number of change-points in advance, in this talk I will introduce a nonparametric maximum likelihood approach to detecting multiple change-points. Our method does not impose any parametric assumption on the underlying distributions of the data
sequence, which is thus suitable for detection of any changes in the distributions. The number of change-points is determined by the Bayesian information criterion and the locations of the
change-points can be estimated by using the dynamic programming algorithm and further taking advantage of the intrinsic order structure of the likelihood function. Under some mild conditions, we show that the new method provides consistent estimation for both the
locations and magnitudes of the change-points with a rate, the square of log n. We also suggest a pre-screening procedure which is capable of excluding most of the irrelevant points. Simulation studies show that the proposed method has outstanding performance of
identifying multiple change-points in terms of estimation accuracy and computation time compared with existing methods. The new methodology is illustrated with two real data examples.

Contact: Changliang ZOU <chlzou@yahoo.com.cn>

]]> Anita Race 1 1357718850 2013-01-09 08:07:30 1475892115 2016-10-08 02:01:55 0 0 event 2013-04-09T12:00:00-04:00 2013-04-09T13:00:00-04:00 2013-04-09T13:00:00-04:00 2013-04-09 16:00:00 2013-04-09 17:00:00 2013-04-09 17:00:00 2013-04-09T12:00:00-04:00 2013-04-09T13:00:00-04:00 America/New_York America/New_York datetime 2013-04-09 12:00:00 2013-04-09 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Dr. Jeff Wu


<![CDATA[ISyE Guest Speaker]]> 27187 TITLE: Dynamic Programming Approximations for Deterministic and Stochastic Routing Problems

SPEAKER: Dr. Alejandro Toriello


We discuss the application of approximate dynamic programming techniques to several versions of the traveling salesman problem (TSP), with the goal of obtaining tractable lower bounds and high-quality solutions. The first half of the talk focuses on deterministic problems, including a new family of polyhedral lower bounds for the TSP and heuristic techniques that combine ideas from integer and dynamic programming. The second half extends our approach to stochastic models in which information is revealed dynamically; the motivating application is real-time vehicle routing. For a dynamic TSP with stochastic arc costs, we discuss how our bounding techniques extend, when they are efficiently solvable, and how to derive policies from them with performance guarantees and good empirical results.



]]> Anita Race 1 1357661312 2013-01-08 16:08:32 1475892110 2016-10-08 02:01:50 0 0 event 2013-01-17T10:00:00-05:00 2013-01-17T11:00:00-05:00 2013-01-17T11:00:00-05:00 2013-01-17 15:00:00 2013-01-17 16:00:00 2013-01-17 16:00:00 2013-01-17T10:00:00-05:00 2013-01-17T11:00:00-05:00 America/New_York America/New_York datetime 2013-01-17 10:00:00 2013-01-17 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> Alan Erera


<![CDATA[Faculty Candidate Seminar]]> 27187 TITLE: Principles of Design for Computer Experiments and Non-Communicable Disease in Pakistan

SPEAKER: Dr. Ben Haaland


This talk will will consist of two parts as follows.

Simulations are used to study real systems for which real experimentation is not feasible. In the usual situation where runs of the simulation take a non-negligible amount of time and
computing, experimental design is extremely important in gaining high quality information from simulations. Principles of experimental design will be proposed and justified which ensure
high numeric accuracy, high nominal accuracy, and accurate parameter estimates for deterministic simulations. Specific situations addressed include non-stationarity, effect sparsity, non-trivial functional ANOVAs, and simplified functional representations, as well as the worst case scenario where the unknown function or mean function is highly non-linear with no low-dimensional representation.

Non-communicable disease (NCD), such as cardiovascular disease, cancer, and respiratory disease, have become the major cause of mortality in Pakistan. Estimates for 2010 and projections for 2025 of cause-specific mortality are presented along with estimates and
projections of deaths attributable to several important risk factors, such as tobacco use and hypertension, and deaths avertable through feasible interventions. We project that Pakistan can reduce NCD deaths by 20% in 2025 by implementing largely cost-neutral interventions.

]]> Anita Race 1 1357231153 2013-01-03 16:39:13 1475892105 2016-10-08 02:01:45 0 0 event 2013-01-08T10:00:00-05:00 2013-01-08T11:00:00-05:00 2013-01-08T11:00:00-05:00 2013-01-08 15:00:00 2013-01-08 16:00:00 2013-01-08 16:00:00 2013-01-08T10:00:00-05:00 2013-01-08T11:00:00-05:00 America/New_York America/New_York datetime 2013-01-08 10:00:00 2013-01-08 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> Roshan Vengazhiyil

<![CDATA[OR Colloquium]]> 27187 TITLE:  Fabrication-Adaptive Optimization and Its Application to Photonic Crystal Design

SPEAKER: Robert M. Freund


It is often the case that computed solutions of many optimization problems cannot be implemented directly (irrespective of data accuracy) due to either (i) technological limitations (physical tolerances of machines or processes), (ii) the deliberate simplification of a model to keep it tractable (ignoring certain types of constraints that pose computational difficulties), and/or (iii) human factors (getting people to "do" x). Motivated by these observations, we present a modeling paradigm called "fabrication-adaptive optimization" for treating issues of implementation/fabrication, develop computationally-focused theory and algorithms, and produce computational results for incorporating considerations of implementation/fabrication into constrained optimization problems that arise in application settings. The proposed fabrication-adaptive optimization framework stems from the robust regularization of a function (Lewis 2002). We show how to do computation with fabrication-adaptive optimization in spite of challenges of non-convexity, and we apply our methodology to compute fabricable designs of two-dimensional photonic crystals with a variety of prescribed features. This is joint work with Abby Men, Jaime Peraire, Joel Saa-Seoane, and Ngoc C. Nguyen.

]]> Anita Race 1 1357289494 2013-01-04 08:51:34 1475892105 2016-10-08 02:01:45 0 0 event 2013-01-09T10:00:00-05:00 2013-01-09T11:00:00-05:00 2013-01-09T11:00:00-05:00 2013-01-09 15:00:00 2013-01-09 16:00:00 2013-01-09 16:00:00 2013-01-09T10:00:00-05:00 2013-01-09T11:00:00-05:00 America/New_York America/New_York datetime 2013-01-09 10:00:00 2013-01-09 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> David Goldberg  dgoldberg9@isye.gatech.edu

<![CDATA[First day of classes]]> 27187 First day Spring Semester


]]> Anita Race 1 1357299465 2013-01-04 11:37:45 1475892105 2016-10-08 02:01:45 0 0 event 2013-01-06T23:00:00-05:00 2013-01-06T23:00:00-05:00 2013-01-06T23:00:00-05:00 2013-01-07 04:00:00 2013-01-07 04:00:00 2013-01-07 04:00:00 2013-01-06T23:00:00-05:00 2013-01-06T23:00:00-05:00 America/New_York America/New_York datetime 2013-01-06 11:00:00 2013-01-06 11:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[MLK Holiday]]> 27187 MLK Holiday campus closed

]]> Anita Race 1 1357299518 2013-01-04 11:38:38 1475892105 2016-10-08 02:01:45 0 0 event 2013-01-20T23:00:00-05:00 2013-01-20T23:00:00-05:00 2013-01-20T23:00:00-05:00 2013-01-21 04:00:00 2013-01-21 04:00:00 2013-01-21 04:00:00 2013-01-20T23:00:00-05:00 2013-01-20T23:00:00-05:00 America/New_York America/New_York datetime 2013-01-20 11:00:00 2013-01-20 11:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[Spring Break]]> 27187 Spring Break

]]> Anita Race 1 1357299591 2013-01-04 11:39:51 1475892105 2016-10-08 02:01:45 0 0 event 2013-03-18T01:00:00-04:00 2013-03-22T01:00:00-04:00 2013-03-22T01:00:00-04:00 2013-03-18 05:00:00 2013-03-22 05:00:00 2013-03-22 05:00:00 2013-03-18T01:00:00-04:00 2013-03-22T01:00:00-04:00 America/New_York America/New_York datetime 2013-03-18 01:00:00 2013-03-22 01:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[Exam Week]]> 27187 Exam Week

]]> Anita Race 1 1357299690 2013-01-04 11:41:30 1475892105 2016-10-08 02:01:45 0 0 event 2013-04-29T01:00:00-04:00 2013-05-03T01:00:00-04:00 2013-05-03T01:00:00-04:00 2013-04-29 05:00:00 2013-05-03 05:00:00 2013-05-03 05:00:00 2013-04-29T01:00:00-04:00 2013-05-03T01:00:00-04:00 America/New_York America/New_York datetime 2013-04-29 01:00:00 2013-05-03 01:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[SIAC Seminar]]> 27187 TITLE:  Funding Opportunities at the National Science Foundation in Manufacturing and Service Enterprise Systems

SPEAKER: Dr. Edwin Romeijn


The Manufacturing and Service Enterprise Systems programs at NSF support research on strategic decision making, design, planning, and operation of manufacturing and service enterprises, respectively. Topics of interest include new models as well as analytical and computational tools for optimal planning, monitoring, control, and scheduling of operations in manufacturing and service enterprises that offer the prospect of implementable solutions. In this talk we will provide an overview of the two programs and describe particular focus areas as well as new research directions. In addition, we will discuss characteristics of successful proposals. Finally, we will address related programs and new initiatives at NSF that can provide funding for research in these areas.

Bio:  Edwin Romeijn received his M.S. in econometrics and Ph.D. in operations research from Erasmus University Rotterdam in The Netherlands. He joined the Department of Industrial and Operations Engineering at the University of Michigan in 2008 after being a faculty member at the Department of Decision and Information Sciences at the Rotterdam School of Management of Erasmus University Rotterdam and the Department of Industrial and Systems Engineering at the University of Florida. In addition, he currently serves as program director for the Manufacturing and Service Enterprise Systems programs at the National Science Foundation. He has taught courses in operations research, stochastic processes, applied probability and statistics, supply chain management, and decision support systems. His research focuses on optimization theory and applications, in particular in the areas of supply chain optimization and optimization in health care. He is an author of over ninety-five peer reviewed journal publications.

]]> Anita Race 1 1357555564 2013-01-07 10:46:04 1475892105 2016-10-08 02:01:45 0 0 event 2013-01-15T10:00:00-05:00 2013-01-15T11:00:00-05:00 2013-01-15T11:00:00-05:00 2013-01-15 15:00:00 2013-01-15 16:00:00 2013-01-15 16:00:00 2013-01-15T10:00:00-05:00 2013-01-15T11:00:00-05:00 America/New_York America/New_York datetime 2013-01-15 10:00:00 2013-01-15 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> Kamran Paynabar


<![CDATA[Manufacturing Brown Bag Seminar]]> 27187 TITLE: Lightweight Carbon Nanotube Buckypaper Material for Multifunctional Applications

SPEAKER: Chuck Zhang


Manufacturing of lightweight, multifunctional composites is a fast-growing industry of enormous importance. Research and advancements have resulted in innovative uses of composites in aerospace, auto, marine, space and sporting goods industries. Recent discovery and insertion of nanomaterials, such as carbon nanotubes, further expand capabilities/potential of composites for multifunctional applications. This seminar will present some recent development on buckypaper, a thin carbon nanotube membrane material. The presentation will focus on the manufacturing and multifunctional applications of buckypaper.

]]> Anita Race 1 1359113672 2013-01-25 11:34:32 1475892091 2016-10-08 02:01:31 0 0 event 2013-01-28T11:00:00-05:00 2013-01-28T12:00:00-05:00 2013-01-28T12:00:00-05:00 2013-01-28 16:00:00 2013-01-28 17:00:00 2013-01-28 17:00:00 2013-01-28T11:00:00-05:00 2013-01-28T12:00:00-05:00 America/New_York America/New_York datetime 2013-01-28 11:00:00 2013-01-28 12:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[2013 Mission Possible STEM Summer Enrichment Program Session I]]> 27511 For the second year, ISyE will be hosting the Mission Possible STEM Summer Enrichment Program for rising 10th to 12th grade high school students interested in the field of industrial engineering. To accomodate a larger number of students, the program will run for two weeks in the summer: June 24-28 and July 15-19, from 9:00 a.m. to 3:00 p.m. each day.  Applications will be available mid-February through CEISMC's website.

]]> Ashley Daniel 1 1354552054 2012-12-03 16:27:34 1475892086 2016-10-08 02:01:26 0 0 event 2013-06-24T10:00:00-04:00 2013-06-28T16:00:00-04:00 2013-06-28T16:00:00-04:00 2013-06-24 14:00:00 2013-06-28 20:00:00 2013-06-28 20:00:00 2013-06-24T10:00:00-04:00 2013-06-28T16:00:00-04:00 America/New_York America/New_York datetime 2013-06-24 10:00:00 2013-06-28 04:00:00 America/New_York America/New_York datetime <![CDATA[]]> Valarie DuRant-Modeste
ISyE Academic Advising Manager

<![CDATA[2013 Mission Possible STEM Summer Enrichment Program Session II]]> 27511 For the second year, ISyE will be hosting the Mission Possible STEM Summer Enrichment Program for rising 10th to 12th grade high school students interested in the field of industrial engineering. To accomodate a larger number of students, the program will run for two weeks in the summer: June 24-28 and July 15-19, from 9:00 a.m. to 3:00 p.m. each day.  Applications will be available mid-February through CEISMC's website.

]]> Ashley Daniel 1 1354552311 2012-12-03 16:31:51 1475892086 2016-10-08 02:01:26 0 0 event 2013-07-15T10:00:00-04:00 2013-07-19T16:00:00-04:00 2013-07-19T16:00:00-04:00 2013-07-15 14:00:00 2013-07-19 20:00:00 2013-07-19 20:00:00 2013-07-15T10:00:00-04:00 2013-07-19T16:00:00-04:00 America/New_York America/New_York datetime 2013-07-15 10:00:00 2013-07-19 04:00:00 America/New_York America/New_York datetime <![CDATA[]]> Valarie DuRant-Modeste

ISyE Academic Advising Manager

(404) 894-8405

<![CDATA[Faculty Meeting]]> 27187 Anita Race 1 1353925167 2012-11-26 10:19:27 1475892082 2016-10-08 02:01:22 0 0 event 2013-01-24T10:00:00-05:00 2013-01-24T11:00:00-05:00 2013-01-24T11:00:00-05:00 2013-01-24 15:00:00 2013-01-24 16:00:00 2013-01-24 16:00:00 2013-01-24T10:00:00-05:00 2013-01-24T11:00:00-05:00 America/New_York America/New_York datetime 2013-01-24 10:00:00 2013-01-24 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Faculty Meeting]]> 27187 Anita Race 1 1353925231 2012-11-26 10:20:31 1475892082 2016-10-08 02:01:22 0 0 event 2013-02-14T10:00:00-05:00 2013-02-14T11:00:00-05:00 2013-02-14T11:00:00-05:00 2013-02-14 15:00:00 2013-02-14 16:00:00 2013-02-14 16:00:00 2013-02-14T10:00:00-05:00 2013-02-14T11:00:00-05:00 America/New_York America/New_York datetime 2013-02-14 10:00:00 2013-02-14 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Faculty Meeting]]> 27187 Anita Race 1 1353925290 2012-11-26 10:21:30 1475892082 2016-10-08 02:01:22 0 0 event 2013-03-07T10:00:00-05:00 2013-03-07T11:00:00-05:00 2013-03-07T11:00:00-05:00 2013-03-07 15:00:00 2013-03-07 16:00:00 2013-03-07 16:00:00 2013-03-07T10:00:00-05:00 2013-03-07T11:00:00-05:00 America/New_York America/New_York datetime 2013-03-07 10:00:00 2013-03-07 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Faculty Meeting]]> 27187 Anita Race 1 1353925345 2012-11-26 10:22:25 1475892082 2016-10-08 02:01:22 0 0 event 2013-04-11T12:00:00-04:00 2013-04-11T13:00:00-04:00 2013-04-11T13:00:00-04:00 2013-04-11 16:00:00 2013-04-11 17:00:00 2013-04-11 17:00:00 2013-04-11T12:00:00-04:00 2013-04-11T13:00:00-04:00 America/New_York America/New_York datetime 2013-04-11 12:00:00 2013-04-11 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Faculty Meeting]]> 27187 Anita Race 1 1353925400 2012-11-26 10:23:20 1475892082 2016-10-08 02:01:22 0 0 event 2013-05-02T12:00:00-04:00 2013-05-02T13:00:00-04:00 2013-05-02T13:00:00-04:00 2013-05-02 16:00:00 2013-05-02 17:00:00 2013-05-02 17:00:00 2013-05-02T12:00:00-04:00 2013-05-02T13:00:00-04:00 America/New_York America/New_York datetime 2013-05-02 12:00:00 2013-05-02 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[New Year's Day]]> 27187 CAMPUS CLOSED

]]> Anita Race 1 1352718160 2012-11-12 11:02:40 1475892071 2016-10-08 02:01:11 0 0 event 2012-12-31T23:00:00-05:00 2012-12-31T23:00:00-05:00 2012-12-31T23:00:00-05:00 2013-01-01 04:00:00 2013-01-01 04:00:00 2013-01-01 04:00:00 2012-12-31T23:00:00-05:00 2012-12-31T23:00:00-05:00 America/New_York America/New_York datetime 2012-12-31 11:00:00 2012-12-31 11:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[When the Whistle Blows]]> 27187 Anita Race 1 1348570563 2012-09-25 10:56:03 1475892010 2016-10-08 02:00:10 0 0 event 2013-04-02T18:15:00-04:00 2013-04-02T19:00:00-04:00 2013-04-02T19:00:00-04:00 2013-04-02 22:15:00 2013-04-02 23:00:00 2013-04-02 23:00:00 2013-04-02T18:15:00-04:00 2013-04-02T19:00:00-04:00 America/New_York America/New_York datetime 2013-04-02 06:15:00 2013-04-02 07:00:00 America/New_York America/New_York datetime <![CDATA[]]> <![CDATA[Honors Luncheon]]> 27187 Faculty & Staff                      Wednesday, April 10, 2013

Honors Luncheon                  Student Center Ballroom             

                                                12:00 p.m. – 2:00 p.m.    

]]> Anita Race 1 1348570684 2012-09-25 10:58:04 1475892010 2016-10-08 02:00:10 0 0 event 2013-04-10T13:00:00-04:00 2013-04-10T15:00:00-04:00 2013-04-10T15:00:00-04:00 2013-04-10 17:00:00 2013-04-10 19:00:00 2013-04-10 19:00:00 2013-04-10T13:00:00-04:00 2013-04-10T15:00:00-04:00 America/New_York America/New_York datetime 2013-04-10 01:00:00 2013-04-10 03:00:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[Honors Luncheon]]> 27187 Student Honors Luncheon   Tuesday, April 16, 2013

                                                Student Center Ballroom

                                                11:00 a.m. – 12:30 p.m.

]]> Anita Race 1 1348570771 2012-09-25 10:59:31 1475892010 2016-10-08 02:00:10 0 0 event 2013-04-16T12:00:00-04:00 2013-04-16T13:30:00-04:00 2013-04-16T13:30:00-04:00 2013-04-16 16:00:00 2013-04-16 17:30:00 2013-04-16 17:30:00 2013-04-16T12:00:00-04:00 2013-04-16T13:30:00-04:00 America/New_York America/New_York datetime 2013-04-16 12:00:00 2013-04-16 01:30:00 America/New_York America/New_York datetime <![CDATA[]]>
<![CDATA[2013 Health and Humanitarian Logistics Conference]]> 27187 The 2013 Conference on Health and Humanitarian Logistics: The Unique Logistical Challenges for Humanitarian Response in Asia will be held June 4-5, 2013 in Kuala Lumpur, Malayasia. The conference, which was initiated and organized by the Georgia Tech Health and Humanitarian Logistics Center since 2009, will be hosted by the Malaysia Institute for Supply Chain Innovation (MISI), a member of the MIT Global SCALE Network. The mission of the conference is to stimulate innovation and build capacity to manage humanitarian supply chains around the world. It brings together high level speakers from across the health and humanitarian sectors, including non-governmental organizations (NGOs), industry, government, etc.

The conference, now in its fifth year, is being held for the first time in Asia, where humanitarian response is especially critical. In 2011, Asia accounted for 86.3% of reported disaster victims worldwide.5 In addition, Malaysia is the hub for humanitarian logistics in Asia, hosting key facilities such as the United Nations Humanitarian Response Depot (UNHRD) and the Red Cross (IFRC) Regional Logistics Unit. Activities will encourage discourse among participants through plenary panels, interactive workshops, educational workshops, innovation posters and facility tours. Discussions will focus on the role of logistics in areas such as disaster response, health systems and food security as well as highlight the unique logistical challenges for humanitarian response in Asia. Ideas will be shared around emerging themes such as extending the reach of specialized nutrition products, exploring the role of social media and big data during crises, and examining the unique challenges for logistics in urban settings. You are welcome to email your ideas for panel themes, workshop topics, and potential speakers/facilitators to humlog2013@mit.edu or humlogconf@gatech.edu.

For more information about the conference program, please visit  http://www.humanitarian.gatech.edu/humlog2013 and http://misi.mit.edu.

5 Guha-Sapir D, Vos F, Below R, with Ponserre S. Annual Disaster Statistical Review 2011: The Numbers and Trends. Brussels: CRED; 2012.

]]> Anita Race 1 1344426272 2012-08-08 11:44:32 1475891964 2016-10-08 01:59:24 0 0 event The 2013 Conference on Health and Humanitarian Logistics: The Unique Logistical Challenges for Humanitarian Response in Asia will be held June 4-5, 2013 in Kuala Lumpur, Malayasia. The conference, which was initiated and organized by the Georgia Tech Health and Humanitarian Logistics Center since 2009, will be hosted by the Malaysia Institute for Supply Chain Innovation (MISI), a member of the MIT Global SCALE Network.

2013-06-04T09:00:00-04:00 2013-06-05T18:00:00-04:00 2013-06-05T18:00:00-04:00 2013-06-04 13:00:00 2013-06-05 22:00:00 2013-06-05 22:00:00 2013-06-04T09:00:00-04:00 2013-06-05T18:00:00-04:00 America/New_York America/New_York datetime 2013-06-04 09:00:00 2013-06-05 06:00:00 America/New_York America/New_York datetime <![CDATA[]]> humlogconf@gatech.edu

151951 151951 image <![CDATA[2013 Conference on Health and Humanitarian Logistics: The Unique Logistical Challenges for Humanitarian Response in Asia]]> image/jpeg 1449178848 2015-12-03 21:40:48 1475894787 2016-10-08 02:46:27 <![CDATA[2013 Health and Humanitarian Logistics Conference]]> <![CDATA[Georgia Tech Center for Health and Humanitarian Logistics]]>
<![CDATA[11th Annual Conference on Systems Engineering Research]]> 27187 11th Annual Conference on Systems Engineering Research

March 19-22, 2013

Georgia Tech is pleased to host the 2013 Conference on Systems Engineering Research (CSER 2013). This annual conference is a leading platform for systems engineering that both pushes the boundaries of current research and identifies and responds to new challenges, fostering new research ideas.  The theme of CSER 2013 is “Addressing Societal Challenges with Next Generation Systems.” 

Important dates:
•    Abstract submission deadline – 9/1/2012
•    Draft paper submission deadline – 10/1/2012
•    Acceptance notification – 11/26/2012
•    Final paper submission deadline – 12/15/2012

The SEANET doctoral student workshop will be held on Tuesday, March 19, prior to the opening of the main conference.

Further information is available at the conference website: cser13.gatech.edu.

]]> Anita Race 1 1340114138 2012-06-19 13:55:38 1475891947 2016-10-08 01:59:07 0 0 event 2013-03-19T01:00:00-04:00 2013-03-22T01:00:00-04:00 2013-03-22T01:00:00-04:00 2013-03-19 05:00:00 2013-03-22 05:00:00 2013-03-22 05:00:00 2013-03-19T01:00:00-04:00 2013-03-22T01:00:00-04:00 America/New_York America/New_York datetime 2013-03-19 01:00:00 2013-03-22 01:00:00 America/New_York America/New_York datetime <![CDATA[]]> Further information is available at cser13.gatech.edu.

<![CDATA[Faculty Candidate Seminar]]> 27187 TITLE: Incomplete Information and Large Dimensionality in Decision Making

SPEAKER: Marco Molinaro


This talk explores from different perspectives two main sources of difficulty in decision making: incomplete information and large dimensionality. In the first part, I will talk about optimization under uncertainty, more specifically resource allocation with item uncertainty. I will focus on the Online Packing IP model, where columns of the IP (i.e. items) come one-by-one in random order. This, and related models, have wide application in revenue management, e.g. airline booking and online advertisement allocation. Combining ideas from learning theory and geometric insights, we provide a strategy that is able to better cope with uncertainty and the first with guarantees that do not degrade as the number of items increases.

In the second part of the talk, I will address other perspectives on decision making. I will briefly discuss sublinear algorithms, which tradeoff the amount of information used to perform a computational task and the quality of the solution obtained. These are crucial in an increasing number of applications that involve massive data, ranging from biology to network analysis. Finally, I will discuss some of my work on Integer Programming, a classical tool for dealing with large decision spaces of combinatorial problems. Here, I will highlight our advances on the construction and analysis of cutting planes, a crucial piece of solving Integer Programs in practice, where we (partially) resolve several questions raised in the literature.

]]> Anita Race 1 1359633456 2013-01-31 11:57:36 1475891624 2016-10-08 01:53:44 0 0 event 2013-02-19T10:00:00-05:00 2013-02-19T11:00:00-05:00 2013-02-19T11:00:00-05:00 2013-02-19 15:00:00 2013-02-19 16:00:00 2013-02-19 16:00:00 2013-02-19T10:00:00-05:00 2013-02-19T11:00:00-05:00 America/New_York America/New_York datetime 2013-02-19 10:00:00 2013-02-19 11:00:00 America/New_York America/New_York datetime <![CDATA[]]> Jennifer Harris


<![CDATA[Under Graduate Student Town Hall Meeting]]> 27187
You are cordially invited to attend an Undergraduate Student Town Hall Meeting with Chair Dr. Jane Ammons. She will lead an interactive discussion regarding the latest happenings at Georgia Tech and the Stewart School of ISyE. Pizza and refereshments will be served on a first come, first served bases. Please see the attached for details.

Date: Thursday, October 3, 2013
Time: 11 AM
Location: Room 228, Main ISyE Bldg.
Pizza and refreshments will be served on a first come, first served basis.

RSVP at http://b.gatech.edu/1dUXW4U

]]> Anita Race 1 1378906787 2013-09-11 13:39:47 1475891517 2016-10-08 01:51:57 0 0 event 2013-10-03T12:00:00-04:00 2013-10-03T13:00:00-04:00 2013-10-03T13:00:00-04:00 2013-10-03 16:00:00 2013-10-03 17:00:00 2013-10-03 17:00:00 2013-10-03T12:00:00-04:00 2013-10-03T13:00:00-04:00 America/New_York America/New_York datetime 2013-10-03 12:00:00 2013-10-03 01:00:00 America/New_York America/New_York datetime <![CDATA[]]>