Ayan Mukhopadhyay RAIL Lab at W&M

Papers, books, and patents

A full and continuously updated list lives on Google Scholar.

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2026 15
  • Artificial Intelligence and Society Ayan Mukhopadhyay, Yevgeniy Vorobeychik Edited volume, River Publishers (Fall 2026)
  • Artificial Intelligence for Emergency Response Ayan Mukhopadhyay Book chapter, in Artificial Intelligence and Society, River Publishers
  • AI for Sustainable Energy Management Fangqi Liu, Rishav Sen, Abhishek Dubey, Ayan Mukhopadhyay Book chapter, in Artificial Intelligence and Society, River Publishers
  • Towards Assured Autonomy using Neurosymbolic Components and Systems Abhishek Dubey, Taylor T. Johnson, Xenofon Koutsoukos, Baiting Luo, Diego Manzanas Lopez, Miklos Maroti, Ayan Mukhopadhyay, Nicholas Potteiger, Serena Serbinowska, Daniel Stojcsics, Yunuo Zhang, Gabor Karsai Book chapter, in Neuro-symbolic AI: Foundations and Applications, Wiley
  • Dynamic Pickup-and-Delivery Routing with Early-Arrival Waiting Limits and Station Relocation Best Paper Award A. Khanna, S. Pavia, F. Liu, Ayan Mukhopadhyay, A. Dubey IEEE International Conference on Smart Computing (SMARTCOMP 2026)
  • SchoolRide: A Data-Driven Platform for School Bus Disruption Management V. Nath, F. Liu, G. He, D. Rogers, A. Chhokra, J. P. Talusan, M. Ma, Ayan Mukhopadhyay, A. Dubey ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2026) · 28% acceptance
  • Dynamic Vehicle Routing with Prompt Confirmation and Continual Optimization A. Sivagnanam, Ayan Mukhopadhyay, S. Samaranayake, A. Dubey, A. Laszka ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2026) · 28% acceptance
  • Persistent Vehicle-to-Building Integration via Neuro-Symbolic Control R. Sen, F. Liu, J. P. Talusan, A. Pettet, Y. Suzue, Ayan Mukhopadhyay, A. Dubey ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2026) · 28% acceptance
  • WENFlow: Wavelet-Enhanced Normalizing Flows for Real-Time Anomaly Detection in CPS J. Buckelew, J. P. Talusan, V. Sivaramakrishnan, Ayan Mukhopadhyay, A. Srivastava, A. Dubey ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2026) · 28% acceptance
  • LogiEx: Logic-Integrated Explanations for Stochastic Planning in Cyber-Physical Systems Z. An, X. Wang, H. Baier, Z. Chen, A. Dubey, Ayan Mukhopadhyay, T. T. Johnson, J. Sprinkle, M. Ma ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2026) · 28% acceptance
  • RESPOND: An Incident-Level Simulation Platform for Fire and EMS Operations A. B. Zulqarnain, J. P. Talusan, K. Napier, C. Gens, J. Higgs, C. Herndon, Ayan Mukhopadhyay, A. Dubey ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2026) · 28% acceptance
  • MoveOD: Synthesizing Fine-Grained Origin–Destination Data for Transportation CPS R. Sen, J. P. Talusan, A. Dubey, Ayan Mukhopadhyay, S. Samaranayake, A. Laszka ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2026) · 28% acceptance
  • Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning Afiya Ayman, Ayan Mukhopadhyay, Aron Laszka International Conference on Learning Representations (ICLR 2026) · 27% acceptance
  • CONSENT: A Negotiation Framework for Leveraging User Flexibility in Vehicle-to-Building Charging under Uncertainty Rishav Sen, Fangqi Liu, Jose Paolo Talusan, Ava Pettet, Yoshinori Suzue, Mark Bailey, Ayan Mukhopadhyay, Abhishek Dubey International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) · 25% acceptance
  • Toward Template-Free Explainability for Monte Carlo Tree Search Siqi Lu, Mirsaleh Bahavarnia, Hiba Baroud, Yixuan Zhang, Hemant Purohit, Ayan Mukhopadhyay IJCAI-ECAI Workshop on Explainable Artificial Intelligence
2025 10
  • An End-to-End Solution for Public Transit Stationing and Dispatch Problem J. P. Talusan, Chaeeun Han, David Rogers, Ayan Mukhopadhyay, Aron Laszka, Dan Freudberg, Abhishek Dubey ACM Transactions on Cyber-Physical Systems (TCPS)
  • Formal Logic-Guided Harnessing of Heterogeneous Fairness Rules in Smart Cities Ziyan An, Yiqi Zhao, Xuqing Gao, Ayan Mukhopadhyay, Meiyi Ma ACM Transactions on Cyber-Physical Systems (TCPS)
  • ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay, Gabor Karsai, Abhishek Dubey Conference on Neural Information Processing Systems (NeurIPS 2025) · 24% acceptance
  • NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes Nathaniel S. Keplinger, Baiting Luo, Yunuo Zhang, Kyle Hollins Wray, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay Conference on Neural Information Processing Systems (NeurIPS 2025) · 24% acceptance
  • Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction Spotlight Baiting Luo, Ava Pettet, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay International Conference on Learning Representations (ICLR 2025) · 5.1% acceptance
  • L-V2B: Reinforcement Learning-based Approach to Solve the V2B Charging Problem Best Paper Finalist Fangqi Liu, Rishav Sen, Jose Paolo Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025) · 24% acceptance
  • Observation Adaptation via Annealed Importance Resampling for Partially Observable Markov Decision Processes Oral Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay, Abhishek Dubey International Conference on Automated Planning and Scheduling (ICAPS 2025) · 22.8% acceptance
  • Online Decision-Making Under Uncertainty for Vehicle-to-Building Systems Rishav Sen, Yunuo Zhang, Fangqi Liu, Jose Paolo Talusan, Ava Pettet, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey International Conference on Cyber-Physical Systems (ICCPS 2025)
  • Combining LLMs with Logic-Based Framework to Explain MCTS Ziyan An, Xia Wang, Hendrik Baier, Zirong Chen, Abhishek Dubey, Taylor T. Johnson, Jonathan Sprinkle, Ayan Mukhopadhyay, Meiyi Ma AAMAS 2025 (Extended Abstract)
  • NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes Nathaniel S. Keplinger, Baiting Luo, Yunuo Zhang, Iliyas Bektas, Kyle Hollins Wray, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay 8th Workshop on Generalization in Planning, AAAI 2025
2024 12
  • Designing a Human-centered AI Tool for Proactive Incident Detection using Crowdsourced Data Sources to Support Emergency Response Yasas Senarath, Ayan Mukhopadhyay, Hemant Purohit, Abhishek Dubey ACM Digital Government: Research and Practice
  • Deploying Mobility-On-Demand for All by Optimizing Paratransit Services Sophie Pavia, David Rogers, Amutheezan Sivagnanam, Michael Wilbur, Danushka Edirimanna, Youngseo Kim, Philip Pugliese, Samitha Samaranayake, Aron Laszka, Ayan Mukhopadhyay, Abhishek Dubey International Joint Conference on Artificial Intelligence (IJCAI 2024) · 20% acceptance
  • Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing Amutheezan Sivagnanam, Ava Pettet, Hunter Lee, Ayan Mukhopadhyay, Abhishek Dubey, Aron Laszka International Conference on Machine Learning (ICML 2024) · 27.5% acceptance
  • Deploying ADVISER: Impact and Lessons from Using Artificial Intelligence for Child Vaccination Uptake in Nigeria Oral Kehinde Opadele, Abdul Ruth, Afolabi Bose, Vir Parminder, Namblard Corinne, Ayan Mukhopadhyay, Abiodun Adereni AAAI Conference on Artificial Intelligence (AAAI 2024) · 6.2% acceptance
  • An Online Approach to Solving Public Transit Stationing and Dispatch Problem Best Paper Award Jose Paolo Talusan, Chaeeun Han, Ayan Mukhopadhyay, Aron Laszka, Dan Freudberg, Abhishek Dubey International Conference on Cyber-Physical Systems (ICCPS 2024) · 28.2% acceptance
  • Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma European Conference on Artificial Intelligence (ECAI 2024) · 23% acceptance
  • Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes Baiting Luo, Yunuo Zhang, Abhishek Dubey, Ayan Mukhopadhyay International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) · 25% acceptance
  • Decision Making in Non-Stationary Environments with Policy-Augmented Search Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) · 25% acceptance
  • Forecasting and Mitigating Disruptions in Public Bus Transit Services Chaeeun Han, Jose Paolo Talusan, Dan Freudberg, Ayan Mukhopadhyay, Abhishek Dubey, Aron Laszka International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) · 25% acceptance
  • SmartTransit.AI: A Dynamic Paratransit and Microtransit Application Sophie Pavia, David Rogers, Amutheezan Sivagnanam, Michael Wilbur, Danushka Edirimanna, Youngseo Kim, Ayan Mukhopadhyay, Philip Pugliese, Samitha Samaranayake, Aron Laszka, Abhishek Dubey IJCAI 2024 Demonstration Track
  • OPTIMUS: Discrete Event Simulator for Vehicle-to-Building Charging Optimization J. P. Talusan, Rishav Sen, Ava Pettet, Yoshi Suzue, Liam Pedersen, Ayan Mukhopadhyay, Abhishek Dubey IEEE International Conference on Smart Computing (SMARTCOMP 2024)
  • A Graph Neural Network Framework for Imbalanced Bus Ridership Forecasting Samir Gupta, Agrima Khanna, J. P. Talusan, Anwar Said, Dan Freudberg, Ayan Mukhopadhyay, Abhishek Dubey IEEE International Conference on Smart Computing (SMARTCOMP 2024)
2023 4
  • Designing Equitable Transit Networks INFORMS DEI Award Sophie Pavia, J. Carlos Martinez Mori, Aryaman Sharma, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Ayan Mukhopadhyay ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2023) · 16% acceptance
  • FairGuard: Harness Logic-based Fairness Rules in Smart Cities Yiqi Zhao, Ziyan An, Xuqing Gao, Ayan Mukhopadhyay, Meiyi Ma ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI 2023) · 30% acceptance
  • Addressing APC Data Sparsity in Predicting Occupancy and Delay of Transit Buses: A Multitask Learning Approach Ammar Bin Zulqarnain, Samir Gupta, Jose Talusan, Ayan Mukhopadhyay, Abhishek Dubey IEEE Conference on Smart Computing (SMARTCOMP 2023)
  • Designing Equitable Transit Networks Sophie Pavia, Carlos Martinez Mori, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Ayan Mukhopadhyay INFORMS Transportation and Logistics Society Conference
2022 12
  • A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models Ayan Mukhopadhyay, Geoffrey Pettet, Sayyed Vazirizade, Di Lu, Said El Said, Alex Jaimes, Hiba Baroud, Yevgeniy Vorobeychik, Mykel Kochenderfer, Abhishek Dubey Elsevier Journal of Accident Analysis and Prevention
  • Hierarchical Planning for Resource Allocation in Smart and Connected Communities Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer, Abhishek Dubey ACM Transactions on Cyber-Physical Systems
  • ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria Best Paper Award Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corrine Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay International Joint Conference on Artificial Intelligence (IJCAI 2022) · 15% acceptance
  • Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit Amutheezan Sivagnanam, Salah Kadir, Ayan Mukhopadhyay, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Aron Laszka International Joint Conference on Artificial Intelligence (IJCAI 2022) · 15% acceptance
  • Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber-Physical Systems Baiting Luo, Shreyas Ramakrishna, Ava Pettet, Christopher Kuhn, Gabor Karsai, Ayan Mukhopadhyay International Conference on Cyber-Physical Systems (ICCPS 2022) · 25.6% acceptance
  • An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services Michael Wilbur, Salah Uddin Kadir, Youngseo Kim, Geoff Pettet, Ayan Mukhopadhyay, Philip Pugliese, Samitha Samaranayake, Aron Laszka, Abhishek Dubey International Conference on Cyber-Physical Systems (ICCPS 2022) · 26% acceptance
  • On Designing Day Ahead and Same Day Ridership Level Prediction Models for City-Scale Transit Networks Using Noisy APC Data Jose Paolo Talusan, Ayan Mukhopadhyay, Dan Freudberg, Abhishek Dubey IEEE Big Data 2022
  • Traffic Anomaly Detection Via Conditional Normalizing Flow Zhuangwei Kang, Ayan Mukhopadhyay, Aniruddha Gokhale, Shijie Wen, Abhishek Dubey IEEE International Conference on Intelligent Transportation Systems (ITSC 2022)
  • Decentralized Computation Market for Stream Processing Applications Scott Eisele, Michael Wilbur, Taha Eghtesad, Kevin Silvergold, Fred Eisele, Ayan Mukhopadhyay, Aron Laszka, Abhishek Dubey IEEE International Conference on Cloud Engineering (IC2E 2022)
  • Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search Geoffrey Pettet, Ayan Mukhopadhyay, Abhishek Dubey Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022)
  • Data-driven Vaccine Demand Forecasting and Health Interventions in Nigeria Best Presentation Ayan Mukhopadhyay, Abiodun Adereni Google AI for Social Good Workshop
  • Designing Decision Support Systems for Emergency Response: Challenges and Opportunities Geoffrey Pettet, Hunter Baxter, Sayyed Mohsen Vazirizade, Hemant Purohit, Meiyi Ma, Ayan Mukhopadhyay, Abhishek Dubey Workshop on CPS for Emergency Response, CPS-IoT Week 2022
2021 8
  • WildfireDB: An Open-Source Dataset Connecting Wildfire Spread with Relevant Determinants Samriddhi Singla, Ayan Mukhopadhyay, Michael Wilbur, Tina Diao, Vinayak Gajjewar, Ahmed Eldawy, Mykel Kochenderfer, Ross Shachter, Abhishek Dubey NeurIPS 2021 Datasets and Benchmarks Track · 35% acceptance
  • Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Hemant Purohit, Saideep Nannapaneni, Abhishek Dubey International Conference on Data Mining (ICDM 2021) · 20% acceptance
  • Hierarchical Planning for Resource Allocation in Emergency Response Systems TCPS Special Issue Invite Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer, Abhishek Dubey ACM/IEEE Conference on Cyber-Physical Systems (ICCPS 2021) · 28% acceptance
  • Energy and Emission Prediction for Mixed-Vehicle Transit Fleets Using Multi-Task and Inductive Transfer Learning Michael Wilbur, Ayan Mukhopadhyay, Sayyed Vazirizade, Philip Pugliese, Aron Laszka, Abhishek Dubey European Conference on Machine Learning (ECML 2021) · 25% acceptance
  • Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems Sayyed Mohsen Vazirizade, Ayan Mukhopadhyay, Geoffrey Pettet, Said El Said, Hiba Baroud, Abhishek Dubey IEEE Conference on Smart Computing (SMARTCOMP 2021) · 30% acceptance
  • Experimental Study of Big Raster and Vector Database Systems Samriddhi Singla, Ahmed Eldawy, Tina Diao, Ayan Mukhopadhyay, Elia Scudiero IEEE International Conference on Data Engineering (ICDE 2021) · 19% acceptance
  • The Raptor Join Operator for Processing Big Raster + Vector Data Samriddhi Singla, Ahmed Eldawy, Tina Diao, Ayan Mukhopadhyay, Elia Scudiero ACM SIGSPATIAL 2021 · 20% acceptance
  • Predicting Public Transportation Load to Estimate the Probability of Social Distancing Violations Juan Martinez, Ayan Mukhopadhyay, Afiya Ayman, Michael Wilbur, Philip Pugliese, Dan Freudberg, Aron Laszka, Abhishek Dubey AAAI Workshop on AI for Urban Mobility 2021
2020 5
  • Robust Spatio-Temporal Incident Prediction Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik Conference on Uncertainty in Artificial Intelligence (UAI 2020) · 27% acceptance
  • On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) · 23% acceptance
  • WildfireDB: A Spatio-Temporal Dataset Combining Wildfire Occurrence with Relevant Covariates Spotlight Samriddhi Singla, Tina Diao, Ayan Mukhopadhyay, Ahmed Eldawy, Ross Shachter, Mykel Kochenderfer NeurIPS 2020 AI for Earth Sciences Workshop
  • Designing Emergency Response Pipelines: Lessons and Challenges Ayan Mukhopadhyay, Geoffrey Pettet, Mykel Kochenderfer, Abhishek Dubey AAAI Fall Symposium on AI for Social Good 2020
  • Uncertainty Aware Wildfire Management Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross Shachter, Mykel Kochenderfer AAAI Fall Symposium on AI for Social Good 2020
2019 3
  • An Online Decision-Theoretic Framework for Responder Dispatch Ayan Mukhopadhyay, Geoffrey Pettet, Chinmaya Samal, Abhishek Dubey, Yevgeniy Vorobeychik ACM/IEEE Conference on Cyber-Physical Systems (ICCPS 2019) · 23% acceptance
  • Incident Management and Analysis Dashboard for Fire Departments Geoffrey Pettet, Ayan Mukhopadhyay, Chinmaya Samal, Abhishek Dubey, Yevgeniy Vorobeychik ICCPS 2019 Demonstration
  • A Pipeline for Emergency Response Best Paper Award Ayan Mukhopadhyay, Yevgeniy Vorobeychik ICLR 2019 Workshop on AI for Social Good
2018 2
  • A Decision Theoretic Framework for Emergency Responder Dispatch Ayan Mukhopadhyay, Zilin Wang, Yevgeniy Vorobeychik Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018) · 25% acceptance
  • Incident Prediction and Response Optimization Ayan Mukhopadhyay AAMAS 2018 Doctoral Consortium
2017 2
  • Prioritized Allocation of Emergency Responders based on a Continuous-Time Incident Prediction Model Ayan Mukhopadhyay, Yevgeniy Vorobeychik, Abhishek Dubey, Gautam Biswas Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017) · 27% acceptance
  • Optimal Allocation of Police Patrol Resources Using a Continuous-Time Crime Model Ayan Mukhopadhyay, Chao Zhang, Yevgeniy Vorobeychik, Milind Tambe, Kenneth Pence, Paul Speer AAAI 2017 Spring Symposium on AI for Social Good
2016 2
  • Optimal Allocation of Police Patrol Resources Using a Continuous-Time Crime Model Ayan Mukhopadhyay, Chao Zhang, Yevgeniy Vorobeychik, Milind Tambe, Kenneth Pence, Paul Speer Conference on Decision and Game Theory for Security (GameSec 2016)
  • Using Abstractions to Solve Opportunistic Crime Security Games at Scale Chao Zhang, Victor Bucarey, Ayan Mukhopadhyay, Arunesh Sinha, Yundi Qian, Yevgeniy Vorobeychik, Milind Tambe Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016) · 25% acceptance
Patents 5
  • Integrating Formal Logic and LLMs for Explainable PlanningUSA Patent (pending) · 2025
  • Dynamic Vehicle Routing Problem with Prompt and Guaranteed Confirmation of Advance RequestsUSA Patent (pending) · 2023
  • Electric Vehicle Charging Control DeviceUSA Patent NTCNA-2022-110-US (pending) · 2023
  • Electric Vehicle Charging Control DeviceUSA Patent NTCNA-2022-113-US (pending) · 2023
  • Forecasting Energy Consumption in a Mixed Transit FleetUSA and International Patent PCT/US2022/080118 (pending) · 2021