Bio
Arka Daw joined ORNL in 2024 as a Distinguished Staff Fellow (DSF). He is a member of the Center for Artificial Intelligence Security Research (CAISER). He is also affiliated to the Emerging Cyber Systems Group in the Cyber Resilience and Intelligence Division of the National Security Sciences Directorate. His research primarily focusses on enhancing the generalizability, robustness, and reliability of deep learning models to ensure their safety and trustworthiness. He is also enthusiastic about tackling interdisciplinary challenges in AI for science. Dr. Daw has been an active reviewer for top-tier machine learning conferences/journals such as NeurIPS, ICLR, ICML, AAAI, IJCAI, KDD, SDM, and IEEE-TNNLS. Dr. Daw received his PhD in Computer Science from Virginia Tech, specializing in developing uncertainty quantification techniques for physics-informed machine learning (PIML) models. He also holds a Bachelor’s degree in Electronics and Communications Engineering from Jadavpur University, India.
Education
- PhD, Computer Science, Virginia Tech, 2023
- BTech, Electronics and Communications Engineering, Jadavpur University, 2018