Enabling versatile analysis of large scale traffic video data with deep learning and HiveQL. - Lei Huang 019; Weijia Xu; Si Liu; Venktesh Pandey; Natalia Ruiz-Juri (IEEE BigData, 2017)

Multiagent Reinforcement Learning Algorithm for Distributed Dynamic Pricing of Managed Lanes. - Venktesh Pandey; Stephen D. Boyles (ITSC, 2018)

On the needs for MaaS platforms to handle competition in ridesharing mobility. - Venktesh Pandey; Julien Monteil; Claudio Gambella; Andrea Simonetto (CoRR, 2019)

Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes with Multiple Access Locations. - Venktesh Pandey; Evana Wang; Stephen D. Boyles (CoRR, 2019)

Temporal Multimodal Multivariate Learning. - Hyoshin Park; Justice Darko; Niharika Deshpande; Venktesh Pandey; Hui Su; Masahiro Ono; Dedrick Barkely; Larkin Folsom; Derek J. Posselt; Steve A. Chien (KDD, 2022)

Advancing Temporal Multimodal Learning with Physics Informed Regularization. - Niharika Deshpande; Hyoshin Park; Venktesh Pandey; Gyugeun Yoon (CISS, 2023)

A Bi-criterion Steiner Traveling Salesperson Problem with Time Windows for Last-Mile Electric Vehicle Logistics. - Prateek Agarwal; Debojjal Bagchi; Tarun Rambha; Venktesh Pandey (CoRR, 2024)

Integrating Real-Time Machine Learning and Dynamic Charging for Electric Vehicle Routing. - Mandana Farhang Ghahfarokhi; Hyoshin Park; Venktesh Pandey; Gyugeun Yoon (CISS, 2025)