Identifying Nontechnical Power Loss via Spatial and Temporal Deep Learning. - Rajendra Rana Bhat; Rodrigo Daniel Trevizan; Rahul Sengupta; Xiaolin Li; Arturo S. Bretas (ICMLA, 2016)

DeepPositioning: Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep Learning. - Wei Zhang; Rahul Sengupta; John Fodero; Xiaolin Li (ICMLA, 2017)

A Platoon Matching Approach for the Estimation of Arterial Travel Time Distributions. - Rahul Sengupta; Rohith R. K. Reddy; Parth Shah 002; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2020)

TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data. - Rahul Sengupta; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2021)

Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction. - Yashaswi Karnati; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (VEHITS, 2021)

A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety. - Tania Banerjee; Ke Chen; Alejandro Almaraz; Rahul Sengupta; Yashaswi Karnati; Bryce Grame; Emmanuel Posadas; Subhadipto Poddar; Robert Schenck 002; Jeremy Dilmore; Siva Srinivasan; Anand Rangarajan 001; et al. (ITSC, 2022)

Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks. - Yashaswi Karnati; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (IEEE Trans. Intell. Transp. Syst., 2022)

Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video. - Rahul Sengupta; Tania Banerjee; Ke Chen; Yashaswi Karnati; Sanjay Ranka; Anand Rangarajan 001 (VEHITS, 2023)

Using DSRC Road-Side Unit Data to Derive Braking Behavior. - Rahul Sengupta; Tania Banerjee; Yashaswi Karnati; Sanjay Ranka; Anand Rangarajan 001 (VEHITS, 2023)

Computing Arterial Travel Time Distributions From Loop Detector and Probe Datasets. - Rahul Sengupta; Rohith R. K. Reddy; Parth Shah 002; James Dika; Xiaohui Huang 004; Anand Rangarajan 001; Sanjay Ranka (IEEE Trans. Intell. Transp. Syst., 2023)

MTDT: A Multi-Task Deep Learning Digital Twin. - Nooshin Yousefzadeh; Rahul Sengupta; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (ITSC, 2024)

A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections. - Aotian Wu; Yash Ranjan; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (IV, 2024)

Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads. - Nooshin Yousefzadeh; Rahul Sengupta; Sanjay Ranka (CoRR, 2024)

Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. - Yash Ranjan; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (PAKDD (6), 2025)

TGDT: A Temporal Graph-based Digital Twin for Urban Traffic Corridors. - Nooshin Yousefzadeh; Rahul Sengupta; Sanjay Ranka (CoRR, 2025)

Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation. - Nooshin Yousefzadeh; Rahul Sengupta; Yashaswi Karnati; Anand Rangarajan 001; Sanjay Ranka (IEEE Trans. Intell. Transp. Syst., 2025)

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections. - Yash Ranjan; Rahul Sengupta; Anand Rangarajan 001; Sanjay Ranka (CoRR, 2025)