معرفی
Dr. Devinder Kaur is a Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo's College of Engineering. She holds a PhD in Computer Engineering from Wayne State University (1989), alongside degrees from the University of Aberdeen and Panjab University. Her research focuses on bio-inspired computational algorithms for engineering applications, including fuzzy logic, neural networks, and swarm intelligence. She has published over 100 articles and secured grants from NSF, Daimler Chrysler, and others.
Education:
- PhD and MS in Computer Engineering, Wayne State University (1989, 1985)
- M.Sc. in Medical Physics, University of Aberdeen (1976)
- M.Sc. (Hons.) in Physics (Electronics), Panjab University (1970)
Research Interests: Integrating intelligence into engineering systems using bio-inspired methods, nature-inspired machine learning, and parallel computing architectures. Her work spans applications in energy systems, medical imaging, and autonomous systems.
Key Achievements:
- Developed courses like 'Biologically Inspired Computing' and 'Fuzzy Systems and Applications.'
- Summer fellowships at NASA Glenn, AFRL Dayton, and Daimler Chrysler.
- Fulbright Senior Specialist Award (lectured at Nippon Institute of Technology and Tokyo Denki University).
- Recipient of Thomas Rumble Fellowship, Commonwealth Fellowship, and Panjab University Medal.
Grants & Contributions: Over $2M in research grants, including NSF support and industry partnerships. Active in professional societies like IEEE, WSEAS, and INFORMS.
Labs/Teams: Leads research in bio-inspired computing and smart energy systems. Collaborates on interdisciplinary projects involving AI, medical diagnostics, and autonomous UAV systems.
