SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning. - Lokesh Chandra Das; Myounggyu Won (ICML, 2021)

D-ACC: Dynamic Adaptive Cruise Control for Highways with Ramps Based on Deep Q-Learning. - Lokesh Das; Myounggyu Won (ICRA, 2021)

LSTM-Based Adaptive Vehicle Position Control for Dynamic Wireless Charging. - Lokesh Chandra Das; Dipankar Dasgupta; Myounggyu Won (CoRR, 2022)

WatchPed: Pedestrian Crossing Intention Prediction Using Embedded Sensors of Smartwatch. - Jibran Ali Abbasi; Navid Mohammad Imran; Lokesh Chandra Das; Myounggyu Won (IROS, 2023)

RLPG: Reinforcement Learning Approach for Dynamic Intra-Platoon Gap Adaptation for Highway On-Ramp Merging. - Sushma Reddy Yadavalli; Lokesh Chandra Das; Myounggyu Won (IROS, 2023)

Intelligent Adaptive Electric Vehicle Motion Control for Dynamic Wireless Charging. - Lokesh Chandra Das; Dipankar Dasgupta; Myounggyu Won (ITSC, 2023)

LCS-TF: Multi-Agent Deep Reinforcement Learning-Based Intelligent Lane-Change System for Improving Traffic Flow. - Lokesh Chandra Das; Myounggyu Won (CoRR, 2023)

Traffic Volume Prediction using Memory-Based Recurrent Neural Networks: A comparative analysis of LSTM and GRU. - Lokesh Chandra Das (CoRR, 2023)

RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment. - Md. Morshed Alam; Lokesh Chandra Das; Sandip Roy 002; Sachin Shetty; Weichao Wang (IWCMC, 2025)