Dr. Ayan Mukhopadhyay is a Research Scientist in the Department of Electrical Engineering and Computer Science at Vanderbilt University, USA. Prior to this, he was a Post-Doctoral Research Fellow at the Stanford Intelligent Systems Lab at Stanford University, USA. He was awarded the 2019 CARS post-doctoral fellowship by the Center of Automotive Research at Stanford (CARS). Before joining Stanford, he completed his Ph.D. at Vanderbilt University’s Computational Economics Research Lab, and his doctoral thesis was nominated for the Victor Lesser Distinguished Dissertation Award 2020. His research interests include multi-agent systems, robust machine learning, and decision-making under uncertainty applied to the intersection of CPS and smart cities. His work has been published in several top-tier AI and CPS conferences like AAMAS, UAI, and ICCPS. His work on creating proactive emergency response pipelines has been covered in the government technology magazine, won the best paper award at ICLR’s AI for Social Good Workshop, and covered in multiple smart city symposiums.

Dr. Ayan Mukhopadhyay Publications with ScopeLab

  1. J. P. Talusan, C. Han, A. Mukhopadhyay, A. Laszka, D. Freudberg, and A. Dubey, An Online Approach to Solving Public Transit Stationing and Dispatch Problem, in Proceedings of the ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS), New York, NY, USA, 2024.
  2. C. Han, J. P. Talusan, D. Freudberg, A. Mukhopadhyay, A. Dubey, and A. Laszka, Forecasting and Mitigating Disruptions in Public Bus Transit Services, in Proceedings of the 23rd Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2024, Auckland, New Zealand, Richland, SC, 2024.
  3. A. Pettet, Y. Zhang, B. Luo, K. Wray, H. Baier, A. Laszka, A. Dubey, and A. Mukhopadhyay, Decision Making in Non-Stationary Environments with Policy-Augmented Search, Proceedings of the 23rd Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2024, Auckland, New Zealand. 2024.
  4. B. Luo, Y. Zhang, A. Mukhopadhyay, and A. Dubey, Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes, in Proceedings of the 23rd Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2024, Auckland, New Zealand, 2024.
  5. Y. Senarath, A. Mukhopadhyay, H. Purohit, and A. Dubey, Designing a Human-Centered AI Tool for Proactive Incident Detection Using Crowdsourced Data Sources to Support Emergency Response, Digit. Gov.: Res. Pract., Nov. 2023.
  6. S. Pavia, J. C. M. Mori, A. Sharma, P. Pugliese, A. Dubey, S. Samaranayake, and A. Mukhopadhyay, Designing Equitable Transit Networks, ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (Poster) (EAAMO). 2023.
  7. S. Pavia, J. C. M. Mori, A. Sharma, P. Pugliese, A. Dubey, S. Samaranayake, and A. Mukhopadhyay, Designing Equitable Transit Networks, INFORMS Transportation and Logistics Society Conference (extended abstract) (TSL). 2023.
  8. B. Luo, S. Ramakrishna, A. Pettet, C. Kuhn, G. Karsai, and A. Mukhopadhyay, Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber Physical Systems, in Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023), New York, NY, USA, 2023, pp. 177–186.
  9. A. Zulqarnain, S. Gupta, J. P. Talusan, P. Pugliese, A. Mukhopadhyay, and A. Dubey, Addressing APC Data Sparsity in Predicting Occupancy and Delay of Transit Buses: A Multitask Learning Approach, in 2023 IEEE International Conference on Smart Computing (SMARTCOMP), 2023.
  10. J. Buckelew, S. Basumallik, V. Sivaramakrishnan, A. Mukhopadhyay, A. K. Srivastava, and A. Dubey, Synchrophasor Data Event Detection using Unsupervised Wavelet Convolutional Autoencoders, in 2023 IEEE International Conference on Smart Computing (SMARTCOMP), 2023.
  11. S. Pavia, J. C. M. Mori, A. Sharma, P. Pugliese, A. Dubey, S. Samaranayake, and A. Mukhopadhyay, Designing Equitable Transit Networks. arXiv, 2022.
  12. J. P. Talusan, A. Mukhopadhyay, D. Freudberg, and A. Dubey, On Designing Day Ahead and Same Day Ridership Level Prediction Models for City-Scale Transit Networks Using Noisy APC Data, in 2022 IEEE International Conference on Big Data (Big Data), Los Alamitos, CA, USA, 2022, pp. 5598–5606.
  13. G. Pettet, H. Baxter, S. Vazirizade, H. Purohit, M. Ma, A. Mukhopadhyay, and A. Dubey, Designing Decision Support Systems for Emergency Response: Challenges and Opportunities, in 2022 Workshop on Cyber Physical Systems for Emergency Response (CPS-ER), Los Alamitos, CA, USA, 2022, pp. 30–35.
  14. S. Eisele, M. Wilbur, T. Eghtesad, K. Silvergold, F. Eisele, A. Mukhopadhyay, A. Laszka, and A. Dubey, Decentralized Computation Market for Stream Processing Applications, in 2022 IEEE International Conference on Cloud Engineering (IC2E), Pacific Grove, CA, USA, 2022.
  15. Z. Kang, A. Mukhopadhyay, A. Gokhale, S. Wen, and A. Dubey, Traffic Anomaly Detection Via Conditional Normalizing Flow, in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 2563–2570.
  16. V. Nair, K. Prakash, M. Wilbur, A. Taneja, C. Namblard, O. Adeyemo, A. Dubey, A. Adereni, M. Tambe, and A. Mukhopadhyay, ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria, in 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022.
  17. A. Sivagnanam, S. U. Kadir, A. Mukhopadhyay, P. Pugliese, A. Dubey, S. Samaranayake, and A. Laszka, Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit, in 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022.
  18. G. Pettet, A. Mukhopadhyay, and A. Dubey, Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search. 2022.
  19. M. Wilbur, S. Kadir, Y. Kim, G. Pettet, A. Mukhopadhyay, P. Pugliese, S. Samaranayake, A. Laszka, and A. Dubey, An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services, in ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS), 2022.
  20. G. Pettet, A. Mukhopadhyay, M. J. Kochenderfer, and A. Dubey, Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities, ACM Trans. Cyber-Phys. Syst., vol. 6, no. 4, Nov. 2022.
  21. A. Mukhopadhyay, G. Pettet, S. M. Vazirizade, D. Lu, A. Jaimes, S. E. Said, H. Baroud, Y. Vorobeychik, M. Kochenderfer, and A. Dubey, A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management, Accident Analysis & Prevention, vol. 165, p. 106501, 2022.
  22. S. Singla, A. Mukhopadhyay, M. Wilbur, T. Diao, V. Gajjewar, A. Eldawy, M. Kochenderfer, R. Shachter, and A. Dubey, WildfireDB: An Open-Source Dataset ConnectingWildfire Spread with Relevant Determinants, in 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks, 2021.
  23. Y. Senarath, A. Mukhopadhyay, S. Vazirizade, hemant Purohit, S. Nannapaneni, and A. Dubey, Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services, in 21st IEEE International Conference on Data Mining (ICDM 2021), 2021.
  24. M. Wilbur, A. Mukhopadhyay, S. Vazirizade, P. Pugliese, A. Laszka, and A. Dubey, Energy and Emission Prediction for Mixed-Vehicle Transit Fleets Using Multi-Task and Inductive Transfer Learning, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2021.
  25. S. M. Vazirizade, A. Mukhopadhyay, G. Pettet, S. E. Said, H. Baroud, and A. Dubey, Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems, 2021.
  26. G. Pettet, A. Mukhopadhyay, M. Kochenderfer, and A. Dubey, Hierarchical Planning for Resource Allocation in Emergency Response Systems, in Proceedings of the 12th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2021, Nashville, TN, USA, 2021.
  27. J. Martinez, A. M. A. Ayman, M. Wilbur, P. Pugliese, D. Freudberg, A. Laszka, and A. Dubey, Predicting Public Transportation Load to Estimate the Probability of Social Distancing Violations, in Proceedings of the Workshop on AI for Urban Mobility at the 35th AAAI Conference on Artificial Intelligence (AAAI-21), 2021.
  28. G. Pettet, A. Mukhopadhyay, M. Kochenderfer, Y. Vorobeychik, and A. Dubey, On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities, in Proceedings of the 19th Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2020, Auckland, New Zealand, 2020.
  29. A. Mukhopadhyay, G. Pettet, C. Samal, A. Dubey, and Y. Vorobeychik, An online decision-theoretic pipeline for responder dispatch, in Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2019, Montreal, QC, Canada, 2019, pp. 185–196.
  30. G. Pettet, A. Mukhopadhyay, C. Samal, A. Dubey, and Y. Vorobeychik, Incident management and analysis dashboard for fire departments: ICCPS demo, in Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2019, Montreal, QC, Canada, 2019, pp. 336–337.
  31. A. Mukhopadhyay, Y. Vorobeychik, A. Dubey, and G. Biswas, Prioritized Allocation of Emergency Responders based on a Continuous-Time Incident Prediction Model, in Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2017, São Paulo, Brazil, May 8-12, 2017, 2017, pp. 168–177.

Ayan’s full publication list is available here