Publications

2025

1. RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment

   Md Morshed Alam, Lokesh Chandra Das, Sandip Roy, Sachin Shetty, and Weichao Wang

   In 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025

   DOI Bib

   @inproceedings{alam2025restrain,
     author = {Alam, Md Morshed and Das, Lokesh Chandra and Roy, Sandip and Shetty, Sachin and Wang, Weichao},
     booktitle = {2025 International Wireless Communications and Mobile Computing (IWCMC)},
     title = {RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment},
     year = {2025},
     url = {https://ieeexplore.ieee.org/document/11059593},
     volume = {},
     number = {},
     pages = {562-567},
     keywords = {Wireless communication;Runtime;Computational modeling;Simulation;Scalability;Reinforcement learning;Real-time systems;Robustness;Internet of Things;Security;Deep Recurrent Q-Network;Internet of Things;Multi-Agent System;Reinforcement Learning;Remote Injection Attack;Trigger-action Platform},
     doi = {10.1109/IWCMC65282.2025.11059593}
   }

2. MATRICS: A Multi-Agent Deep Reinforcement Learning-Based Traffic-Aware Intelligent Lane-Change System

   Lokesh Chandra Das and Myounggyu Won

   In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

   DOI Bib

   @inproceedings{10341914,
     url = {},
     author = {Das, Lokesh Chandra and Won, Myounggyu},
     booktitle = {2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
     title = {MATRICS: A Multi-Agent Deep Reinforcement Learning-Based Traffic-Aware Intelligent Lane-Change System},
     year = {2025},
     volume = {},
     number = {},
     pages = {},
     keywords = {},
     doi = {}
   }

3. Enhancing cotton yield prediction with robust deep neural network-based framework

   Md Abdul Quddus, Sudipta Chowdhury, Warren Jasper, and Lokesh Das

   European Journal of Agronomy, 2025

   DOI Bib

   @article{QUDDUS2025127750,
     title = {Enhancing cotton yield prediction with robust deep neural network-based framework},
     journal = {European Journal of Agronomy},
     volume = {170},
     pages = {127750},
     year = {2025},
     issn = {1161-0301},
     doi = {https://doi.org/10.1016/j.eja.2025.127750},
     url = {https://www.sciencedirect.com/science/article/pii/S1161030125002461},
     author = {Quddus, Md Abdul and Chowdhury, Sudipta and Jasper, Warren and Das, Lokesh},
     keywords = {Deep neural network, Cotton production, Machine learning, Cotton supply chain, Textile industry},
   }

2023

1. RLPG: Reinforcement Learning Approach for Dynamic Intra-Platoon Gap Adaptation for Highway On-Ramp Merging

   Sushma Reddy Yadavalli, Lokesh Chandra Das, and Myounggyu Won

   In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

   DOI Bib

   @inproceedings{10341918,
     url = {https://ieeexplore.ieee.org/document/10341918},
     author = {Yadavalli, Sushma Reddy and Das, Lokesh Chandra and Won, Myounggyu},
     booktitle = {2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
     title = {RLPG: Reinforcement Learning Approach for Dynamic Intra-Platoon Gap Adaptation for Highway On-Ramp Merging},
     year = {2023},
     volume = {},
     number = {},
     pages = {5514-5521},
     keywords = {Adaptation models;Roads;Merging;Optimal control;Reinforcement learning;Safety;Vehicle dynamics},
     doi = {10.1109/IROS55552.2023.10341918}
   }

2. WatchPed: Pedestrian Crossing Intention Prediction Using Embedded Sensors of Smartwatch

   Jibran Ali Abbasi, Navid Mohammad Imran, Lokesh Chandra Das, and Myounggyu Won

   In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

   DOI Bib

   @inproceedings{10341607,
     url = {https://ieeexplore.ieee.org/document/10341607},
     doi = {10.1109/IROS55552.2023.10341607},
     author = {Abbasi, Jibran Ali and Imran, Navid Mohammad and Das, Lokesh Chandra and Won, Myounggyu},
     booktitle = {2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
     title = {WatchPed: Pedestrian Crossing Intention Prediction Using Embedded Sensors of Smartwatch},
     year = {2023},
     volume = {},
     number = {},
     pages = {9574-9581},
     keywords = {Visualization;Wearable Health Monitoring Systems;Pedestrians;Lighting;Predictive models;Data collection;Motion detection}
   }

3. Intelligent Adaptive Electric Vehicle Motion Control for Dynamic Wireless Charging

   Lokesh Chandra Das, Dipankar Dasgupta, and Myounggyu Won

   In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023

   DOI Bib

   @inproceedings{10422064,
     url = {https://ieeexplore.ieee.org/document/10422064},
     doi = {10.1109/ITSC57777.2023.10422064},
     author = {Das, Lokesh Chandra and Dasgupta, Dipankar and Won, Myounggyu},
     booktitle = {2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)},
     title = {Intelligent Adaptive Electric Vehicle Motion Control for Dynamic Wireless Charging},
     year = {2023},
     volume = {},
     number = {},
     pages = {2734-2741},
     keywords = {Motion planning;Adaptation models;Transmitters;Dynamics;Inductive charging;Predictive models;Vehicle dynamics}
   }

2021

1. Saint-acc: Safety-aware intelligent adaptive cruise control for autonomous vehicles using deep reinforcement learning

   Lokesh Chandra Das and Myounggyu Won

   In International Conference on Machine Learning, 2021

   DOI Bib

   @inproceedings{das2021saint,
     url = {https://proceedings.mlr.press/v139/das21a.html},
     doi = {10.5555/3495724.3495980},
     title = {Saint-acc: Safety-aware intelligent adaptive cruise control for autonomous vehicles using deep reinforcement learning},
     author = {Das, Lokesh Chandra and Won, Myounggyu},
     booktitle = {International Conference on Machine Learning},
     pages = {2445--2455},
     year = {2021},
     organization = {PMLR}
   }

2. D-ACC: Dynamic Adaptive Cruise Control for Highways with Ramps Based on Deep Q-Learning

   Lokesh Das and Myounggyu Won

   In 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021

   DOI Bib

   @inproceedings{9561021,
     url = {https://ieeexplore.ieee.org/document/9561021},
     doi = {10.1109/ICRA48506.2021.9561021},
     author = {Das, Lokesh and Won, Myounggyu},
     booktitle = {2021 IEEE International Conference on Robotics and Automation (ICRA)},
     title = {D-ACC: Dynamic Adaptive Cruise Control for Highways with Ramps Based on Deep Q-Learning},
     year = {2021},
     volume = {},
     number = {},
     pages = {1572-1578},
     keywords = {Crowdsourcing;Adaptation models;Adaptive systems;Veins;Roads;Reinforcement learning;Real-time systems}
   }