Directed By:

Dr. Subhadeep Chakraborty, Associate Professor of Mechanical Engineering, University of Tennessee

📧: [email protected] ☎️: (865) 974-5307 📍: DO 208, 1512 Middle Dr, Knoxville TN

About

The barrier between the engineering disciplines and the social sciences has started to break down giving rise to rich complex cyber-physical systems with humans, hardware and networks operating within the same loop.

My goal is to bring the latest tools in Artificial Intelligence (AI) and Machine Learning (ML) to the problem of coordination of multi- agent systems which are increasingly affected by the enhanced pace of communication and information sharing in networks. My research group at the Complex Systems Monitoring Optimization and Stability (COSMOS) lab tries to optimize interactive behaviors involving multiple agents by developing new models of interaction, coordination and analysis of emergent properties.

Recent News

$\scriptsize {Nov\:30\:2021 : Congrats\: Russell\:and\:Zach!\:Paper\:accepted\:in\:Journal\:of\:Intelligent\:Transportation\:Systems}$

$\scriptsize {Nov\:25\:2021 : Congrats\: Ben!\: Paper\: accepted\: in \:Journal\: of \:Additive\:Manufacturing\:Technologies }$

$\scriptsize {Nov\:10\:2021 : Congrats\: Joe!\:Paper\:accepted\:for\:presentation\:in\:TRB\:Meetings\:Jan\: 2022}$

$\scriptsize {Nov\:10\:2021 : Congrats\: Laura!\:Paper\:accepted\:for\:presentation\:in\:TRB\:Meetings\:Jan\: 2022}$

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Research Areas

• Multi-agent Learning and Optimization, Reinforcement Learning (RL), Hidden Markov Model, Partially Observable Markov Decision Processes
• Deep learning, Image classification, segmentation, Domain transform and domain adaptation problems in computer vision
• Graph Theory, Stochastic differential equations, Agent-based modeling, Discrete choice models

Intelligent Transportation

This is the major research thrust in the COSMOS lab with multiple projects funded by NSF, USDOT, Tennessee Department of Transportation (TDOT), Department of Energy (DOE), Oak Ridge National Lab and Volkswagen research. In this research domain, we investigate methods of optimized coordination among different elements of the traffic network, such as CAVs, platoons, traffic signals, etc.

Emergency Evacuation

In this research area, the COSMOS lab focuses on modeling and optimizing crowd behavior, specifically in emergency evacuation situations. We are leading pioneering work in analyzing the coupled dynamical system of movement and decisions and investigating the effect of leader following, route familiarity, panic, impatience and herding on the overall egress efficiency using language-theoretic discrete choice models.

Opinion Flow Dynamics

In this thrust, our focus is on investigating the effect of influences in the evolution of opinions in social networks. Research on influencers, often called inflexibles, zealots, independents, non-conformists, etc. have emerged as a prominent thrust of DARPA, DoD and other actors in the homeland security field, due to the rapid emergence of web-based terrorist propaganda and associated `cognitive hacking'.

Research

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Research

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Research

Recent Publications

Journal Publications

1. L.M. Harris, A.R. Srinivasan, S. Chakraborty, “Use of immersive virtual reality-based experiments to study tactical decision-making during emergency evacuation”, 1st revision under review, Special Issue on Assessing Human Factors in the Design of the Built Environment by Mixed Realities, Applied Ergonomics, 2021
2. L.M. Harris, R.T. Graves, R. Arvin, A. Khattak, S. Chakraborty, “Study of Vulnerable Road-User Choices and Effect of V2P-based Alert on Crossing Behavior Through Analysis of Virtual Environment Crossing Events”, under review, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2021
3. J.Lavalle-Rivera, A. Ramesh, S. Chakraborty, “The effectiveness of naive optimization of the egress path for an Active-Shooter Scenario”, under review, Safety Science, 2021
4. Z.E. Nelson, R.T. Graves, A.S. Berres, J. Sanyal, S. Chakraborty, “Queue length prediction leveraging local camera based monitoring and traffic-flow data communicated between intersections”, under review, Transportation Research Part C: Emerging Technologies, 2021
5. R. Graves, Z. Nelson, S. Chakraborty, “A decentralized intersection management system through collaborative negotiation between smart signals”, accepted, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2021
6. B.S. Terry, B. Baucher, A. Chaudhary, S. Chakraborty, “Active Monitoring of Selective Laser Melting Process by Training an Artificial Neural Net Classifier on Layer- By-Layer Surface Laser Profilometry Data”, accepted, The International Journal of Advanced Manufacturing Technology, DOI: 10.21203/rs.3.rs-893873/v1
7. S. Mohammadi, R. Arvin, A.J. Khattak, S. Chakraborty, “The role of drivers’ social interactions in their driving behavior: Empirical evidence and implications for car- following and traffic flow”, Transportation Research Part F: Traffic Psychology and Behaviour, Vol 80, 203-217, Jul 2021
8. M. Kamrani; A.R. Srinivasan, S. Chakraborty, A.J. Khattak, “Applying Markov decision process to understand driving decisions using basic safety messages data”, Transportation Research Part C: Emerging Technologies Vol 115, 102642, 2020

Conference Publications

1. L.M. Harris, N. Ahmad, A. Khattak, S. Chakraborty, “Exploring Visibility Factors Effect on Vehicle-Pedestrian Crash Injury Severity, Transportation Research Board 101st Annual Meeting Transportation Research Board, Jan 2021
2. J. Beck, R. Armin, S. Lee, A. Khattak, S. Chakraborty, “Automated Vehicle Data Pipeline for Accident Reconstruction: New Insights from LiDAR, Camera, and Radar Data”, Transportation Research Board 101st Annual Meeting Transportation Research Board, Jan 2021
3. A.R. Srinivasan, S. Chakraborty, “Realistic building evacuation time estimator with a guide directing the crowd”, Transportation Research Board 98th Annual Meeting Transportation Research Board, Jan 2019
4. S. Mohammadi, M. Kamrani, A.J. Khattak, S. Chakraborty, “Social influence in mod- ifying driver decisions using modeling and gossip algorithms, Transportation Research Board 98th Annual Meeting Transportation Research Board, Jan 2019
5. A.R. Srinivasan, FSN Karan, S Chakraborty, “A Study of How Opinion Sharing Affects Emergency Evacuation”, International Conference on Social Computing, Behavioral- Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, Jul, 2018
6. A.R. Srinivasan and S. Chakraborty, “Study of Hazard Information Propagation on Evacuation Efficiency with a Hybrid Simulation Model”, TRB 97th Annual Meeting, Jan. 7-11, 2018.
7. S. Chakraborty, A.B. Chaudhary and S.S. Babu, “Automated Laser Track Identifi- cation and Defect Characterization in SLM Processes using Laser Profilometer Data, Material Science and Technology, David H. Lawrence Convention Center, Pittsburgh, Pennsylvania, Oct. 8-12, 2017.
8. F.S.N. Karan and S. Chakraborty, “Analysis and Control of Socio-Cultural Opinion Evolution in Complex Social Systems”, International Conference on Social Comput- ing, Behavioral-Cultural Modeling, & Prediction, July 5-8, 2017, Lehman Auditorium, George Washington University, Washington DC, USA.

Team Members

Current Graduate Students

Anirudh Ramesh

Ph.D. Topic: Analysis and Optimization of Complex Systems using Graph-Theoretic properties

Jose Lavalle-Rivera

Ph.D. Topic: Capacity constrained route optimization during active shooter events

Laura Harris

Ph.D. Topic: Study of Human Factors in Intelligent Transportation applications

Former Graduate Students

1. Dr. Farshad Salimii Naneh Karan, Ph.D. Dissertation: Analysis and Control of Socio-Cultural Opinion Evolution in Complex Social Systems
2. Dr. Aravinda Ramakrishnan Srinivasan, Ph.D. Dissertation: Role of opinion sharing on the emergency evacuation dynamics
3. Mr. Anil Singh, M.Sc. Thesis: Reliability Estimation For A Well Testing Separator Using Modeling
4. Mr. Asad Hoque, M.Sc. Thesis: Providing Real-Time Driver Advisories in Connected Vehicles: A Data-Driven Approach Supported by Field Experimentation
5. Mr. Benjamin Terry, M.Sc. Thesis: Application of Artificial Neural Nets to a Laser Additive Manufacturing Process for Fault Detection using Powder Bed Height Data

Undergraduate & M.Sc. Non-thesis Student Supervision [Toggle]