Recent Publications

  • Adaptive Adversarial Learning in Multi-Agent Combat: A Deep Reinforcement Learning Approach for Border Evasion Scenarios
    International Conference on Robotics and Mechatronics (IEEE), 2025
    Arindam Ghosh, Krishna Dhumal, Srijita Sarkar, Muneendra Ojha
  • An Empirical Study on Multi-Agent Deep Reinforcement Learning for Drone Flocking Control
    International Conference on Electrical, Electronics and Computer Engineering (UPCON-2025) (IEEE), 2025
    Arindam Ghosh, Krishna Dhumal, Muneendra Ojha

Journal Publications

Conference Publications

  • Adaptive Adversarial Learning in Multi-Agent Combat: A Deep Reinforcement Learning Approach for Border Evasion Scenarios
    International Conference on Robotics and Mechatronics (IEEE), 2025
    Arindam Ghosh, Krishna Dhumal, Srijita Sarkar, Muneendra Ojha
  • An Empirical Study on Multi-Agent Deep Reinforcement Learning for Drone Flocking Control
    International Conference on Electrical, Electronics and Computer Engineering (UPCON-2025) (IEEE), 2025
    Arindam Ghosh, Krishna Dhumal, Muneendra Ojha
  • Balancing Lexical and Semantic Models for Optimized Biomedical Retrieval
    International Conference on Electrical, Electronics and Computer Engineering (UPCON-2025) (IEEE), 2025
    Atul Chourasia, Arindam Ghosh, Muneendra Ojha
  • Multi-Robot Path Planning for Comprehensive Area Coverage in Complex Environments
    International Conference on Methods and Models in Automation and Robotics (MMAR) (IEEE), 2024
    Manish Kumar, Arindam Ghosh, Muneendra Ojha
  • Smart Electronic Voting: Emergence, Challenges, and Strategies in India
    International Conference on Computational Technologies and Electronics (Springer), 2023
    Arnab Sadhu, Arindam Ghosh, Avishek Nandi
  • Deep Q-Snake: An Intelligent Agent Mastering the Snake Game with Deep Reinforcement Learning
    Presented at TENCON 2024 – IEEE Region 10 Conference
    Debjyoti Ray, Arindam Ghosh, Muneendra Ojha, and Krishna Pratap Singh
  • A Comparative Study on Grid-Based and Non-Grid-Based Path Planning Algorithms
    8th International Conference on Control and Robotics Engineering (ICCRE), IEEE, 2023
    Arindam Ghosh, Muneendra Ojha, Krishna Pratap Singh
  • Modeling and Prediction of COVID-19 in India Using Machine Learning
    In International Conference on Computational Intelligence in Communications and Business Analytics (CICBA), Springer, 2021
    Arindam Ghosh, and Arnab Sadhu
  • A Detailed Observation on Association Rule Mining
    2nd International Conference on Inventive Research in Computing Applications (ICIRCA), IEEE, 2020
    Pothula Sujatha, G. Elavarasan, P. Nithya, N. Kadhiravan, Arindam Ghosh, and Asmita Adhikary

Patent Publications

  • A METHOD AND SYSTEM FOR CASTING SECURED AND DECENTRALIZED VOTE
    Indian Patent Office, Application No. 202531060309, Published: July, 2025
    Arnab Sadhu, Arindam Ghosh, and Avishek Nandi

Book Chapters

  • Integrating Particle Swarm Optimization with Reinforcement Learning: A Promising Approach to Optimization
    In Advanced Machine Learning with Evolutionary and Metaheuristic Techniques, Springer Nature Singapore, 2024
    Arindam Ghosh, Ojaswita Tiwari, Krishna Pratap Singh, Muneendra Ojha