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Sushil Louis

Professor, Computer Science and Engineering

Open to new collaborations

Research interests

I work in Genetic Algorithms, Evolutionary Computing and their applications to Artificial Intelligence, Machine Learning, and Optimization. My current work investigates adaptive AI for RTS-games, interaction design for controlling large numbers of heterogeneous, semi-autonomous entities, and generating real-time micro for game and real-world agents. The Evolutionary Computing Systems Lab (ECSL), which I direct, has investigated new techniques for machine learning using Case-Injected Genetic AlgoRithms (CIGAR), new techniques for playing to learn to play computer games, and new techniques for evolving Real-Time Strategy (RTS) game micro and macro . The Department of Computer Science offers a Minor in Digital Interactive Games. For those interested in games, simulations, and AI, I wrote a short document on games, their impact on society, and on our research at the University of Nevada, Reno.

Recent publications

The ten most recent from their Google Scholar profile, newest first.

  1. Navysim 2.0: Enhanced multi-vessel simulation and analysis engine for advanced naval research

    MA Sayed, K DiArchangel, MH Raha, P Aliniya, C Brenner, M Nicolescu, .... IEEE Transactions on Games , 2026. 2026

    1 citation

  2. Adaptive Training for Nautical Rules of the Road

    A Dutta, SJ Louis. arXiv preprint arXiv:2608.20751 , 2026. 2026

  3. Weakness Adaptation in Adaptive Training for Nautical Rules of the Road

    A Dutta, SJ Louis. International Conference on Human-Computer Interaction, 301-317 , 2026. 2026

  4. Evaluating adaptive training for nautical rules of the road

    A Dutta, SJ Louis. International Conference on Human-Computer Interaction, 19-34 , 2025. 2025

    2 citations

  5. Navysim: A multi-vessel simulation and analysis engine for naval domains

    MA Sayed, K DiArchangel, MH Raha, P Aliniya, M Nicolescu, M Nicolescu, .... 2024 IEEE Conference on Games (CoG), 1-8 , 2024. 2024

    10 citations

  6. A cybersecurity game to probe human-AI teaming

    R Olla, E Hand, SJ Louis, R Houmanfar, S Sengupta. 2024 IEEE conference on games (CoG), 1-5 , 2024. 2024

    8 citations

  7. A serious game for target angle recognition

    K DiArchangel, SJ Louis. 2024 IEEE Conference on Games (CoG), 1-4 , 2024. 2024

    4 citations

  8. Systematic analysis of individuals’ perspectives on cybersecurity using q methodology: Implications for research and application in behavior analysis

    R Olla, RA Houmanfar, S Sengupta, EM Hand, SJ Louis. Behavior and Social Issues 33 (2), 880-908 , 2024. 2024

    3 citations

  9. Evolving Potential Fields for Rules of the Road Compliant Ship Driving

    K Diarchangel, L Francisco, J Koenig, S Louis. Proceedings of the Genetic and Evolutionary Computation Conference Companion … , 2024. 2024

    1 citation

  10. Genetic algorithms optimized adaptive wireless network deployment

    R Dubey, SJ Louis. Applied Sciences 13 (8), 4858 , 2023. 2023

    12 citations

All publications on Google Scholar