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J. Senthilnath is a Senior Scientist at the Institute of Advanced Intelligence and Computing (IAIC), Agency for Science, Technology and Research (A*STAR), Singapore. He is also an Adjunct Associate Professor at the National University of Singapore (NUS). He obtained his PhD degree in Aerospace Engineering from the Indian Institute of Science (IISc), India. His research interests include artificial intelligence (AI), generative models, multi-agent systems, reinforcement learning, optimization, and AI for Semiconductors. He has published over 100 research articles in leading journals/conferences and has received five best paper awards. He has been recognized as one of the world's top 2% scientists in AI by Stanford University. He is also a Senior Member of IEEE and has held various roles, including organizing chair, co-chair, and senior program committee member at leading AI and data analytics conferences.

• PHM-AP Data Challenge - 3rd Prize Winner (2025) 

• Listed in World's Top 2% Scientists, identified by Stanford University (2021, 2022, 2023, 2024)

• Listed in National Research Foundation (NRF), Singapore under “Advanced Semiconductor Technology Development” - the scoping study report highlights potential areas of opportunity for Singapore to embark on AI4Sci initiatives.

• IJIDF - Biennial Best Journal Paper Award (2016-2017)

• JISRS - Best Journal Paper Award (2009)

• Journal editorial activities

  • Editorial Board Member, Memetic Computing (Springer), 2026-present 

  • Guest Editor: Remote Sensing (special issue: Deep Learning for Remote Sensing 2022 - Climate Change I 2022 - Climate Change II 2024)

  • Guest Editor: Sensors (special issue: UAV-AI 2020) 

• Conference Leadership Roles

  • Program Co-chair: IEEE CIRS (2018, 2019, 2020, 2021, 2022, 2023) 

  • Organizing Chair: IEEE SSCI 2018

  • Workshop Co-Chair: Distributed AI 2023 - NRF AI4SM 2024 

• Senior Program Committee

  • AI conferences: AAAI (2026, 2027) - CIKM (2026).

• Invited Talk and Keynote

  • NRF AI Methods for Science 2024 - SCA 2025 - IPFA 2026

• Tutorials

  • IPFA 2026