ISyE Faculty, Students Recognized for Research at INFORMS 2022 Annual Meeting
A host of faculty and students from the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) attended the INFORMS annual meeting last month, networking with peers in the field, presenting research, attending keynotes, and more. The conference, held from Oct. 16-19 in Indianapolis, Indiana, highlights research in the fields of operations research and analytics, proven scientific mathematical processes that enable organizations to turn complex challenges into substantial opportunities by transforming data into information, and information into insights that solve real-world problems. Once again, ISyE researchers had a number of accomplishments at the meeting, being recognized for research on various topics. Explore the list below to see ISyE’s accomplishments. If you or someone you know received an award or recognition but did not make the list, please email Communications Manager David Mitchell at firstname.lastname@example.org.
- Mehran Navabi-Shirazi, Mohamed El Tonbari, Natashia Boland, Dima Nazzal, and Lauren N. Steimle were selected as finalists for the Service Science Best Cluster Paper Award for their work Multicriteria Course Mode Selection and Classroom Assignment Under Sudden Space Scarcity.
- Ph.D. student Meghan Meredith received first place in the Minority Issues Forum student poster competition.
- Ph.D. student Zihan Zhang won the INFORMS QSR Section Best Student Paper Award for work titled Tensor-based Temporal Control for Partially Observed High-Dimensional Streaming Data. This is a joint work with Shancong Mou, Kamran Paynabar, and Jianjun Shi.
- Guanghui Lan, along with colleagues Saeed Ghadimi and Hongchao Zhang, earned the INFORMS Computing Society prize for pioneering work on nonconvex stochastic optimization methods, as detailed in three papers, which have a total of over 1,800 citations:
- Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming
- Mini-Batch Stochastic Approximation Methods for Nonconvex Stochastic Composite Optimization
- Accelerated Gradient Methods for Nonconvex Nonlinear and Stochastic Programming.
- Former ISyE Ph.D. student Sebastián Pérez-Salazar, now an assistant professor at Rice, received an honorable mention in the INFORMS Optimization Society student paper prize. He was co-advised by Alejandro Toriello and Mohit Singh.
- Henry Yuchi received a certificate for QSR Best Student Paper award finalist.
- A paper co-authored by Debankur Mukherjee and Ph.D. student Dan Rutten was a finalist in the INFORMS JFIG Paper Competition. It was titled Online Capacity Scaling Augmented with Untrusted Machine Learning Predictions.
- Workflow Status: Published
- Created By: David Mitchell
- Created: 11/01/2022
- Modified By: Andy Haleblian
- Modified: 11/02/2022