Faculty
Nima Karimian

Assistant Professor
ENB 311
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Biography
Nima Karimian is an assistant professor in the ±«Óătv Bellini College of Artificial Intelligence, Cybersecurity and Computing. He joined the college in 2023 and brings to the role a strong background in embedded systems, hardware security, and machine learning. Prior to ±«Óătv, he served as an assistant professor at West Virginia University in the Lane Computer Science and Electrical Engineering Department, and San Jose State University in the Computer Engineering Department. He led research labs at both institutions. Before that, he was a faculty consultant at the University of Florida and held research assistant roles at the University of Connecticut and Amirkabir University of Technology.
Research Interests
Karimian’s research focuses on biometrics, cybersecurity, generative AI, and trustworthy
AI, particularly in healthcare. His work bridges the critical gap between hardware
security and biometric AI, addressing fundamental issues of security, privacy, and
fairness that are vital for the widespread adoption of trusted AI systems. He is the
principal investigator for National Science Foundation-funded research that examines
fairness in biometric systems, and he is co-PI on an NSF-funded project focusing on
robust deep learning. Previously he was part of an NSF-funded research team that explored
physical side-channel attacks in biometric systems. He has also been part of grant
projects funded by organizations such as Pangiam, Texas Instruments, and the California
Fire Department.
He has developed novel methods for device fingerprinting, biometric security, hardware
Trojan detection, and side-channel analysis. A core area of his current research involves
applying machine learning to detect vulnerabilities in embedded systems and using
physically unclonable functions (PUFs) to ensure the authenticity of devices. Additionally,
a key part of Karimian’s examines demographic bias in these systems to ensure they
are fair and equitable for all users.
At ±«Óătv, Karimian is expanding research in AI-powered hardware assurance and trustable
system design, with an emphasis on scalable solutions for consumer, defense, and industrial
applications.
Honors and Awards
Karimian is a recipient of the NSF CAREER Award, one of the most prestigious honors given to early-career faculty who show exceptional promise in integrating research and education. The Charles W. Davidson College of Engineering at San Jose State University presented him with its Faculty Award of Excellence and he has also received best paper awards at top conferences, including the IEEE Computer Society Annual Symposium on VLSI (very large-scale integration) and the International Conference on Computer Design.
Education
Karimian earned his PhD in Computer Engineering, as well as a master’s degree in the field, from the University of Connecticut in Storrs, CT. He has a master’s degree in computer engineering from Amirkabir University of Technology in Tehran, Iran, and a bachelor’s degree in electrical engineering from Babol Noshirvani University of Technology, in Babol, Iran.