Dissertation:
Online Spatio-Temporal Demand Supply Matching - Meghna Lowalekar, PhD Thesis, Singapore Management University 2020. (pdf)
Journal Papers:
Meghna Lowalekar, Pradeep Varakantham, and Patrick Jaillet, "Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing ", Accepted, Journal of Artificial Intelligence Research (JAIR) - Award Track
Meghna Lowalekar, Pradeep Varakantham and Patrick Jaillet "Online Spatio-Temporal Matching in Stochastic and Dynamic Domains". Artificial Intelligence Journal (AIJ), Volume 261, August 2018, Pages 71-112. (pdf)
Asrar Ahmed, Pradeep Varakantham, Meghna Lowalekar, Yossiri Adulyasak and Patrick Jaillet, "Sampling based Approaches for Minimizing Regret in Uncertain Markov Decision Problems (MDPs)". Journal of Artificial Intelligence Research (JAIR) Volume 59 Issue 1, May 2017 Pages 229-264 (pdf)
Conference Papers:
Akanksha Tyagi, Meghna Lowalekar, Praveen Paruchuri Improving Lane Level Dynamics for EV Traversal: A Reinforcement Learning Approach, VEHITS 2024, (Nominee for Best Student Paper Award)
Sanket Shah, Meghna Lowalekar, Pradeep Varakantham "Joint Pricing and Matching for City-Scale Ride-Pooling", Accepted, International Conference on Automated Planning and Scheduling (ICAPS), 2022
Dexun Li, Meghna Lowalekar, Pradeep Varakantham: CLAIM: curriculum learning policy for influence maximization in unknown social networks. UAI 2021:
Ashwin Kumar, Sanket Shah, Meghna Lowalekar, Pradeep Varakantham, Alvitta Ottley, William Yeoh (2021). FairVizARD: A Visualization System for Assessing Fairness of Ride-Sharing Matching Algorithms. In ICAPS-2021.
Meghna Lowalekar, Pradeep Varakantham, and Patrick Jaillet, "Competitive Ratios for Online Multi-capacity Ridesharing", Accepted, International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS-2020.
Sanket Shah, Meghna Lowalekar and Pradeep Varakantham, "Neural Approximate Dynamic Programming for On-Demand Ride-Pooling", Accepted, 34th AAAI Conference on Artificial Intelligence, AAAI 2020.
Meghna Lowalekar, Pradeep Varakantham, and Patrick Jaillet, "ZAC: A Zone pAth Construction Approach for Effective Real Time Ride Sharing ", Accepted, International Conference on Automated Planning and Scheduling (ICAPS), 2019. (Best Application Paper Award)
Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong Wai Hin, Rishikeshan Rajendram, Tran Trong Khiem, Pradeep Varakantham, Truong Trong Nghia and Firmansyah Rahman. Upping the Game of Taxi Driving in the Age of Uber, Thirtieth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-18), New Orleans, Louisiana, USA, February 2018.(pdf)
Meghna Lowalekar, Pradeep Varakantham, Supriyo Ghosh, Sanjay Dominik Jena and Patrick Jaillet, "Online Repositioning in BikeSharing Systems". International Conference on Automated Planning and Scheduling (ICAPS), 2017.(pdf) (Video)
Meghna Lowalekar, Pradeep Varakantham, and Patrick Jaillet, "Online Spatio-Temporal Matching in Stochastic and Dynamic Domains". 30th AAAI Conference on Artificial Intelligence, AAAI 2016.(pdf)
Meghna Lowalekar, Pradeep Varakantham, and Akshat Kumar, "Robust Influence Maximization" Extended Abstract, International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS-2016.(pdf)
Meghna Lowalekar, Ritesh Kumar Tiwari, Kamalakar Karlapalem: Security Policy Satisfiability and Failure Resilience in Workflows. FIDIS 2008: 197-210. (pdf)
Demonstration:
Meghna Lowalekar, Pradeep Varakantham, and Patrick Jaillet, "ZAC: A Zone pAth Construction Approach for Effective Real Time Ride Sharing ", Accepted, International Conference on Automated Planning and Scheduling (ICAPS), 2019, Berkeley USA.
Muralidhar Konda, Pradeep Varakantham, Aayush Saxena and Meghna Lowalekar. RE-ORG: An Online Repositioning Guidance Agent ,Accepted, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Montreal, Canada, 2019.
Shashi Shekhar Jha, Shih-Fen Cheng, Rishikeshan Rajendram, Nicholas Wong, Firmansyah Bin Abd Rahman, Nghia Truong Trong, Meghna Lowalekar, and Pradeep Varakantham. A driver guidance system for taxis in Singapore, Seventeenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18), Stockholm, Sweden, July 2018. (Best Demo Award)