Using Abstractions to Solve Opportunistic Crime Security Games at Scale. - Chao Zhang 049; Victor Bucarey; Ayan Mukhopadhyay; Arunesh Sinha; Yundi Qian; Yevgeniy Vorobeychik; Milind Tambe (AAMAS, 2016)

Optimal Allocation of Police Patrol Resources Using a Continuous-Time Crime Model. - Ayan Mukhopadhyay; Chao Zhang 049; Yevgeniy Vorobeychik; Milind Tambe; Kenneth Pence; Paul Speer (GameSec, 2016)

Prioritized Allocation of Emergency Responders based on a Continuous-Time Incident Prediction Model. - Ayan Mukhopadhyay; Yevgeniy Vorobeychik; Abhishek Dubey; Gautam Biswas (AAMAS, 2017)

Incident Prediction and Response Optimization. - Ayan Mukhopadhyay (AAMAS, 2018)

A Decision Theoretic Framework for Emergency Responder Dispatch. - Ayan Mukhopadhyay; Zilin Wang; Yevgeniy Vorobeychik (AAMAS, 2018)

An online decision-theoretic pipeline for responder dispatch. - Ayan Mukhopadhyay; Geoffrey Pettet; Chinmaya Samal; Abhishek Dubey; Yevgeniy Vorobeychik (ICCPS, 2019)

Incident management and analysis dashboard for fire departments: ICCPS demo. - Geoffrey Pettet; Ayan Mukhopadhyay; Chinmaya Samal; Abhishek Dubey; Yevgeniy Vorobeychik (ICCPS, 2019)

Robust Incident Prediction, Resource Allocation and Dynamic Dispatch. - Ayan Mukhopadhyay (2019)

Uncertainty Aware Wildfire Management. - Tina Diao; Samriddhi Singla; Ayan Mukhopadhyay; Ahmed Eldawy; Ross D. Shachter; Mykel J. Kochenderfer (AI4SG@AAAI Fall Symposium, 2020)

Designing Emergency Response Pipelines : Lessons and Challenges. - Ayan Mukhopadhyay; Geoffrey Pettet; Mykel J. Kochenderfer; Abhishek Dubey (AI4SG@AAAI Fall Symposium, 2020)

On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities. - Geoffrey Pettet; Ayan Mukhopadhyay; Mykel J. Kochenderfer; Yevgeniy Vorobeychik; Abhishek Dubey (AAMAS, 2020)

Robust Spatial-Temporal Incident Prediction. - Ayan Mukhopadhyay; Kai Wang 040; Andrew Perrault; Mykel J. Kochenderfer; Milind Tambe; Yevgeniy Vorobeychik (UAI, 2020)

A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models. - Ayan Mukhopadhyay; Geoffrey Pettet; Sayyed Vazirizade; Yevgeniy Vorobeychik; Mykel J. Kochenderfer; Abhishek Dubey (CoRR, 2020)

The Raptor Join Operator for Processing Big Raster + Vector Data. - Samriddhi Singla; Ahmed Eldawy; Tina Diao; Ayan Mukhopadhyay; Elia Scudiero (SIGSPATIAL/GIS, 2021)

Hierarchical planning for resource allocation in emergency response systems. - Geoffrey Pettet; Ayan Mukhopadhyay; Mykel J. Kochenderfer; Abhishek Dubey (ICCPS, 2021)

Experimental Study of Big Raster and Vector Database Systems. - Samriddhi Singla; Ahmed Eldawy; Tina Diao; Ayan Mukhopadhyay; Elia Scudiero (ICDE, 2021)

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 (ICDM, 2021)

WildfireDB: An Open-Source Dataset Connecting Wildfire Occurrence with Relevant Determinants. - Samriddhi Singla; Ayan Mukhopadhyay; Michael Wilbur; Tina Diao; Vinayak Gajjewar; Ahmed Eldawy; Mykel J. Kochenderfer; Ross D. Shachter; Abhishek Dubey (NeurIPS Datasets and Benchmarks, 2021)

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 (ECML/PKDD (4), 2021)

Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response. - Sayyed Mohsen Vazirizade; Ayan Mukhopadhyay; Geoffrey Pettet; Said El Said; Hiba Baroud; Abhishek Dubey (SMARTCOMP, 2021)

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 (CoRR, 2021)

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; Daniel Freudberg; Abhishek Dubey (IEEE Big Data, 2022)

Decentralized Computation Market for Stream Processing Applications. - Scott Eisele; Michael Wilbur; Taha Eghtesad; Kevin Silvergold; Fred Eisele; Ayan Mukhopadhyay; Aron Laszka; Abhishek Dubey (IC2E, 2022)

An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services. - Michael Wilbur; Salah Uddin Kadir; Youngseo Kim; Geoffrey Pettet; Ayan Mukhopadhyay; Philip Pugliese; Samitha Samaranayake; Aron Laszka; Abhishek Dubey (ICCPS, 2022)

ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria. - Vineet Nair; Kritika Prakash; Michael Wilbur; Aparna Taneja; Corinne Namblard; Oyindamola Adeyemo; Abhishek Dubey; Abiodun Adereni; Milind Tambe; Ayan Mukhopadhyay (IJCAI, 2022)

Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit. - Amutheezan Sivagnanam; Salah Uddin Kadir; Ayan Mukhopadhyay; Philip Pugliese; Abhishek Dubey; Samitha Samaranayake; Aron Laszka (IJCAI, 2022)

Traffic Anomaly Detection Via Conditional Normalizing Flow. - Zhuangwei Kang; Ayan Mukhopadhyay; Aniruddha Gokhale; Shi-Jie Wen; Abhishek Dubey (ITSC, 2022)

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 (CoRR, 2022)

Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search. - Geoffrey Pettet; Ayan Mukhopadhyay; Abhishek Dubey (CoRR, 2022)

Generative Anomaly Detection for Time Series Datasets. - Zhuangwei Kang; Ayan Mukhopadhyay; Aniruddha Gokhale; Shi-Jie Wen; Abhishek Dubey (CoRR, 2022)

Designing Equitable Transit Networks. - Sophie Pavia; Juan Carlos Martínez Mori; Aryaman Sharma; Philip Pugliese; Abhishek Dubey; Samitha Samaranayake; Ayan Mukhopadhyay (CoRR, 2022)

Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities. - Geoffrey Pettet; Ayan Mukhopadhyay; Mykel J. Kochenderfer; Abhishek Dubey (ACM Trans. Cyber Phys. Syst., 2022)

Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber Physical Systems. - Baiting Luo; Shreyas Ramakrishna; Ava Pettet; Christopher B. Kuhn; Gabor Karsai; Ayan Mukhopadhyay (ICCPS, 2023)

Fairguard: Harness Logic-based Fairness Rules in Smart Cities. - Yiqi Zhao; Ziyan An; Xuqing Gao; Ayan Mukhopadhyay; Meiyi Ma (IoTDI, 2023)

KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). - Amulya Yadav; Aparna Taneja; Ayan Mukhopadhyay; Serina Chang (KDD, 2023)

Synchrophasor Data Event Detection using Unsupervised Wavelet Convolutional Autoencoders. - Jacob Buckelew; Sagnik Basumallik; Vasavi Sivaramakrishnan; Ayan Mukhopadhyay; Anurag K. Srivastava 001; Abhishek Dubey (SMARTCOMP, 2023)

Addressing APC Data Sparsity in Predicting Occupancy and Delay of Transit Buses: A Multitask Learning Approach. - Ammar Bin Zulqarnain; Samir Gupta; Jose Paolo Talusan; Daniel Freudberg; Philip Pugliese; Ayan Mukhopadhyay; Abhishek Dubey (SMARTCOMP, 2023)

Artificial Intelligence for Emergency Response. - Ayan Mukhopadhyay (CoRR, 2023)

Task Grouping for Automated Multi-Task Machine Learning via Task Affinity Prediction. - Afiya Ayman; Ayan Mukhopadhyay; Aron Laszka (CoRR, 2023)

Deploying ADVISER: Impact and Lessons from Using Artificial Intelligence for Child Vaccination Uptake in Nigeria. - Opadele Kehinde; Ruth Abdul; Bose Afolabi; Parminder Vir; Corinne Namblard; Ayan Mukhopadhyay; Abiodun Adereni (AAAI, 2024)

Forecasting and Mitigating Disruptions in Public Bus Transit Services. - Chaeeun Han; Jose Paolo Talusan; Daniel Freudberg; Ayan Mukhopadhyay; Abhishek Dubey; Aron Laszka (AAMAS, 2024)

Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes. - Baiting Luo; Yunuo Zhang; Abhishek Dubey; Ayan Mukhopadhyay (AAMAS, 2024)

Decision Making in Non-Stationary Environments with Policy-Augmented Search. - Ava Pettet; Yunuo Zhang; Baiting Luo; Kyle Hollins Wray; Hendrik Baier; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay (AAMAS, 2024)

Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. - Ziyan An; Hendrik Baier; Abhishek Dubey; Ayan Mukhopadhyay; Meiyi Ma (ECAI, 2024)

Shrinking POMCP: A Framework for Real-Time UAV Search and Rescue. - Yunuo Zhang; Baiting Luo; Ayan Mukhopadhyay; Dániel Stojcsics; Daniel Elenius; Anirban Roy; Susmit Jha; Miklos Maroti; Xenofon D. Koutsoukos; Gabor Karsai; Abhishek Dubey (ICAA, 2024)

An Online Approach to Solving Public Transit Stationing and Dispatch Problem. - Jose Paolo Talusan; Chaeeun Han; Ayan Mukhopadhyay; Aron Laszka; Daniel Freudberg; Abhishek Dubey (ICCPS, 2024)

Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing. - Amutheezan Sivagnanam; Ava Pettet; Hunter Lee; Ayan Mukhopadhyay; Abhishek Dubey; Aron Laszka (ICML, 2024)

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)

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 (IJCAI, 2024)

Grid-Aware Charging and Operational Optimization for Mixed-Fleet Public Transit. - Rishav Sen; Amutheezan Sivagnanam; Aron Laszka; Ayan Mukhopadhyay; Abhishek Dubey (ITSC, 2024)

A Graph Neural Network Framework for Imbalanced Bus Ridership Forecasting. - Samir Gupta; Agrima Khanna; Jose Paolo Talusan; Anwar Said; Daniel Freudberg; Ayan Mukhopadhyay; Abhishek Dubey (SMARTCOMP, 2024)

OPTIMUS: Discrete Event Simulator for Vehicle-to-Building Charging Optimization. - Jose Paolo Talusan; Rishav Sen; Ava Pettet; Aaron Kandel; Yoshinori Suzue; Liam Pedersen; Ayan Mukhopadhyay; Abhishek Dubey (SMARTCOMP, 2024)

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 (Digit. Gov. Res. Pract., 2024)

Online Decision-Making Under Uncertainty for Vehicle-to-Building Systems. - Rishav Sen; Yunuo Zhang; Fangqi Liu 001; Jose Paolo Talusan; Ava Pettet; Yoshinori Suzue; Ayan Mukhopadhyay; Abhishek Dubey (ICCPS, 2025)

PDPTW-DB: MILP-Based Offline Route Planning for PDPTW with Driver Breaks. - Agrima Khanna; Fangqi Liu 001; Samir Gupta; Sophie Pavia; Ayan Mukhopadhyay; Abhishek Dubey (ICDCN, 2025)

Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction. - Baiting Luo; Ava Pettet; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay (ICLR, 2025)

Combining LLMs with a 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)

Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards. - Fangqi Liu 001; Rishav Sen; Jose Paolo Talusan; Ava Pettet; Aaron Kandel; Yoshinori Suzue; Ayan Mukhopadhyay; Abhishek Dubey (AAMAS, 2025)

TRACE: Traffic Response Anomaly Capture Engine for Localization of Traffic Incidents. - Ammar Bin Zulqarnain; Jacob Buckelew; Jose Paolo Talusan; Ayan Mukhopadhyay; Abhishek Dubey (SMARTCOMP, 2025)

NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes. - Nathaniel S. Keplinger; Baiting Luo; Iliyas Bektas; Yunuo Zhang; Kyle Hollins Wray; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay (CoRR, 2025)

Observation Adaptation via Annealed Importance Resampling for Partially Observable Markov Decision Processes. - Yunuo Zhang; Baiting Luo; Ayan Mukhopadhyay; Abhishek Dubey (CoRR, 2025)