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GVU Center Brown Bag Seminar: Research and Engagement Grants
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ABSTRACTS
Amanda Meng with Ellen Zegura, Careful Data Science for Smart and Connected Communities
In this talk we highlight a collection of community-based data projects that have resulted in new data sets, new visualizations, new community-government conversations, new tools for data collection, and new thinking about how to work carefully with communities to create and use data. Our primary partners in these endeavors are the Westside Atlanta Land Trust and the Block-by-Block initiative. Within Georgia Tech, we work with IPaT/RNoC and with our Civic Data and Design VIP team.
Sarang Joshi with Nordine Sebkhi, Real-Time Reconstruction and Visualization of Tongue Motion for Speech Therapy
During speech therapy, patients and their therapists are faced with many challenges that impede the rate of recovery. Chief among them is the visualization of the tongue whose motion is a key contributor to speech production. A real-time 3D reconstruction of tongue motion will help patients to practice more effectively and speech therapists to better evaluate the impact of the selected treatment plans.
Neda Mohammadi, Smart City Digital Twins: Towards Citizen-Centric City Infrastructure IoT
The global consequences of rapid urbanization and unprecedented increases in human activities generate complex interdependencies between humans, infrastructures, and technologies, which are evolving to be substantially different from that in today’s cities and may result in increasing uncertainties, unreliable predictions, and poor management decisions. Our lack of insights into the operational readiness of cities and emerging interdependencies within and between human, infrastructure, and technological systems, is compounded by lack of scalable data integration approaches that take into account the space-time fluctuations of system behaviors at and across scales in relation to the city infrastructure, environmental conditions, and human activities. This requires a paradigm shift in how urban service provisioning is understood, influenced, and ultimately managed, through which decision makers in cities are provided with an enhanced ability to model, understand, and anticipate the operational dynamics collectively as an integrated entity. In this talk, I will discuss the fundamentals of adapting the Digital Twins framework–an endeavor to create intelligent adaptive machines by generating a parallel virtual version of the system along with the connectivity, analytical, and visualization capabilities enabled by Internet of Things (IoT) and emerging virtualization technologies such as Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)–as the foundation for the development, predictive analytics, and adaptive capabilities across (1) buildings, (2) superblocks, (3) campuses and communities, and (4) cities. I will further explore how enabling scalable simulations of what-if scenarios and anticipating emergent behavior, through context-aware experimentation under normal operations, as well as in extreme events via digital twins can provide insights into cities’ operational readiness and help analysts understand how cities equipped with smart technologies will likely perform under various economic, environmental, and social conditions, and identify the drivers of possible disruptions. Such understanding is critical in assessing whether or not smart growth strategies are effective, minimizing the gap between smart utopia and smart reality.
In this talk we highlight a collection of community-based data projects that have resulted in new data sets, new visualizations, new community-government conversations, new tools for data collection, and new thinking about how to work carefully with communities to create and use data. Our primary partners in these endeavors are the Westside Atlanta Land Trust and the Block-by-Block initiative. Within Georgia Tech, we work with IPaT/RNoC and with our Civic Data and Design VIP team.
Sarang Joshi with Nordine Sebkhi, Real-Time Reconstruction and Visualization of Tongue Motion for Speech Therapy
During speech therapy, patients and their therapists are faced with many challenges that impede the rate of recovery. Chief among them is the visualization of the tongue whose motion is a key contributor to speech production. A real-time 3D reconstruction of tongue motion will help patients to practice more effectively and speech therapists to better evaluate the impact of the selected treatment plans.
Neda Mohammadi, Smart City Digital Twins: Towards Citizen-Centric City Infrastructure IoT
The global consequences of rapid urbanization and unprecedented increases in human activities generate complex interdependencies between humans, infrastructures, and technologies, which are evolving to be substantially different from that in today’s cities and may result in increasing uncertainties, unreliable predictions, and poor management decisions. Our lack of insights into the operational readiness of cities and emerging interdependencies within and between human, infrastructure, and technological systems, is compounded by lack of scalable data integration approaches that take into account the space-time fluctuations of system behaviors at and across scales in relation to the city infrastructure, environmental conditions, and human activities. This requires a paradigm shift in how urban service provisioning is understood, influenced, and ultimately managed, through which decision makers in cities are provided with an enhanced ability to model, understand, and anticipate the operational dynamics collectively as an integrated entity. In this talk, I will discuss the fundamentals of adapting the Digital Twins framework–an endeavor to create intelligent adaptive machines by generating a parallel virtual version of the system along with the connectivity, analytical, and visualization capabilities enabled by Internet of Things (IoT) and emerging virtualization technologies such as Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)–as the foundation for the development, predictive analytics, and adaptive capabilities across (1) buildings, (2) superblocks, (3) campuses and communities, and (4) cities. I will further explore how enabling scalable simulations of what-if scenarios and anticipating emergent behavior, through context-aware experimentation under normal operations, as well as in extreme events via digital twins can provide insights into cities’ operational readiness and help analysts understand how cities equipped with smart technologies will likely perform under various economic, environmental, and social conditions, and identify the drivers of possible disruptions. Such understanding is critical in assessing whether or not smart growth strategies are effective, minimizing the gap between smart utopia and smart reality.
SPEAKER BIOS
Amanda Meng works as Research Scientist with Carl DiSalvo and Ellen Zegura. Recently she conducted a comparative study of data activism in Hong Kong, Chile, and the Dominican Republic. Currently, she investigates the practices of counter-data action and care through and with data science with residents in Atlanta's Westside communities.
Ellen Zegura is the Fleming Chair and Professor in the School of Computer Science at Georgia Tech. She works in two primary areas, computer networking and computing for social good. In computer networking, she is known for her work on the GT-ITM suite of Internet topology tools, which remain in use 20 years after release. In mobile wireless networking, she and colleagues invented the concept of message ferries to facilitate communications in environments where network connectivity is unreliable and/or sparse. Her work in computing and social good includes work in Liberia, with Native Americans in Southern California, and with residents of the Westside of Atlanta. She is a Fellow of the IEEE, a Fellow of the ACM, and an elected member of the Computing Research Association Board (CRA). Since Fall 2014 she has been on the Executive Board of the CRA.
Sarang Joshi is a MS student in computer science at Georgia Tech since Aug 2016. He received his bachelor's degree in Engineering Design from the Indian Institute of Technology Madras in 2015. He is interested in computer graphics, geometric modeling and computer animation.
Nordine Sebkhi received a M.S. (Diplôme d’Ingénieur) in electronics and signal processing from the National Polytechnic Institute (Toulouse, France) in 2011, and M.S. in electrical and computer engineering from Georgia Tech in 2012. He has been an analog design intern at Thales Alenia Space (Cannes, France) and product manager at AirWatch (Atlanta, GA). He is currently working toward his PhD degree at GT-Bionics Lab, developing a novel and disruptive treatment tool for speech disorders.
Neda Mohammadi is a researcher in the area of city infrastructure systems with a focus on human-infrastructure interactivity. Her primary research applies the concept of spatiotemporal flux to investigating fluctuating phenomena in city infrastructure systems, linked by an underlying influence from the human population. She focuses on understanding and quantifying the effects that can inform and affect positive change in such systems through integrated and predictive analytics. Currently the City Infrastructure Analytics Director at the Network Dynamics Lab in the School of Civil and Environmental Engineering at Georgia Tech, she leads projects that investigate human-infrastructure interactions as an interconnected system across the reality–virtuality continuum and has several publications in the area of urban dynamics, cyberphysical systems, and smart city digital twins.
Ellen Zegura is the Fleming Chair and Professor in the School of Computer Science at Georgia Tech. She works in two primary areas, computer networking and computing for social good. In computer networking, she is known for her work on the GT-ITM suite of Internet topology tools, which remain in use 20 years after release. In mobile wireless networking, she and colleagues invented the concept of message ferries to facilitate communications in environments where network connectivity is unreliable and/or sparse. Her work in computing and social good includes work in Liberia, with Native Americans in Southern California, and with residents of the Westside of Atlanta. She is a Fellow of the IEEE, a Fellow of the ACM, and an elected member of the Computing Research Association Board (CRA). Since Fall 2014 she has been on the Executive Board of the CRA.
Sarang Joshi is a MS student in computer science at Georgia Tech since Aug 2016. He received his bachelor's degree in Engineering Design from the Indian Institute of Technology Madras in 2015. He is interested in computer graphics, geometric modeling and computer animation.
Nordine Sebkhi received a M.S. (Diplôme d’Ingénieur) in electronics and signal processing from the National Polytechnic Institute (Toulouse, France) in 2011, and M.S. in electrical and computer engineering from Georgia Tech in 2012. He has been an analog design intern at Thales Alenia Space (Cannes, France) and product manager at AirWatch (Atlanta, GA). He is currently working toward his PhD degree at GT-Bionics Lab, developing a novel and disruptive treatment tool for speech disorders.
Neda Mohammadi is a researcher in the area of city infrastructure systems with a focus on human-infrastructure interactivity. Her primary research applies the concept of spatiotemporal flux to investigating fluctuating phenomena in city infrastructure systems, linked by an underlying influence from the human population. She focuses on understanding and quantifying the effects that can inform and affect positive change in such systems through integrated and predictive analytics. Currently the City Infrastructure Analytics Director at the Network Dynamics Lab in the School of Civil and Environmental Engineering at Georgia Tech, she leads projects that investigate human-infrastructure interactions as an interconnected system across the reality–virtuality continuum and has several publications in the area of urban dynamics, cyberphysical systems, and smart city digital twins.
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- Workflow Status:Published
- Created By:Dorie Taylor
- Created:03/01/2018
- Modified By:Dorie Taylor
- Modified:03/05/2018
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