معرفی
Dr. Gabor Karsai is a Distinguished Professor of Computer Science and Professor of Electrical and Computer Engineering at Vanderbilt University's School of Engineering. He also serves as Senior Research Scientist at the Institute for Software-Integrated Systems (ISIS), where he contributes to the Executive Council. With over 30 years in software engineering, his research focuses on embedded systems, model-driven development, resilient software platforms, and AI-driven autonomous systems assurance. He holds a PhD from Vanderbilt and degrees from the Technical University of Budapest.
- Education:
- Ph.D. in Electrical and Computer Engineering, Vanderbilt University
- Dr.Tech. in Computer Engineering, Technical University of Budapest
- M.S. and B.S. in Electrical Engineering, Technical University of Budapest
- Affiliations:
- Co-Associate Chair for Computer Engineering
- External Member of the Hungarian Academy of Sciences
His research interests span model-integrated computing, autonomous systems assurance, and radiation-hardened systems. Recent work emphasizes AI integration into engineered systems and radiation effects mitigation for space applications. He has led major projects on distributed control for smart grids and resilient CPS architectures. Over 200 peer-reviewed publications and four patents reflect his contributions to software engineering and systems integration.
Awards & Recognition:
- External Membership in Hungarian Academy of Sciences
- Leadership roles in ISIS and Vanderbilt's academic governance
Advisees & Grants: While no student list is provided, his projects involve collaborative teams across academia and industry. Major sponsors include NSF, NASA, and DARPA. Current work includes the ALC (Assurance-based Learning-enabled CPS) and MIDAS (Model-based Intent-Driven Adaptive Software) initiatives.
Labs & Platforms: Co-developer of the RIAPS distributed CPS platform and the SEAM assurance modeling framework. His labs focus on cyber-physical system design, radiation effects analysis, and autonomous system reliability.
