معرفی
Tapadhir Das is an Assistant Professor in the Department of Computer Science at the University of the Pacific, where he also directs the Dependability And Security (DAS) Laboratory. His research focuses on securing cyber-physical systems (e.g., intelligent vehicles, smart grids) and developing resilient, trustworthy AI frameworks.
- Education:
- Ph.D., Computer Science & Engineering, University of Nevada, Reno (2023)
- M.S., Computer Science & Engineering, University of Nevada, Reno (2020)
- B.S., Computer Engineering Technology, Oregon Institute of Technology (2018)
Das’s research spans smart grid security, adversarial machine learning, and cyber-physical systems security, with over 25 publications in conferences and journals. His recent work explores federated learning, differential privacy, and defensive mechanisms against adversarial attacks in automotive and industrial IoT systems.
His publications highlight expertise in cybersecurity, machine learning, and networking, particularly addressing vulnerabilities in autonomous vehicles, intrusion detection, and secure healthcare applications.
- Scientific Awards:
- IEEE CARS 2024 Best Paper Award
- IEEE IECON 2024 Best Paper Presentation Award
Das actively mentors graduate and undergraduate students in his DAS Lab, which collaborates with institutions like Lawrence Livermore National Laboratory and the University of Nevada, Reno. He serves on IEEE conference committees and reviews for high-impact journals.
