Position
Professor of Computer Science and Electrical Engineering
Office
347 Information Technology and Engineering (ITE) Building
Contact Information
University of Maryland, Baltimore County
1000 Hilltop Circle
Baltimore, MD 21250
phone: (410) 455-3028
email: sidhu@umbc.edu
Education
Ph.D., Theoretical Physics, State University of New York, 1973
M.S., Computer Science, State University of New York, 1979
B.S., Electrical Engineering, University of Kansas, 1966
Research Areas
Dr. Sidhu’s research focuses on advancing the foundations of Artificial Intelligence/Machine Learning (AI/ML), Quantum Computing, and Cybersecurity through rigorous system-level modeling, testing, validation, and operational analysis. His recent work introduced new theoretical and engineering frameworks for trustworthy and observable agentic AI systems, moving the field beyond traditional benchmark evaluation toward operational assurance under real execution conditions. In quantum computing and quantum metrology, his research established new models for understanding noise-limited precision, entanglement dynamics, adaptive sensing architectures, and the practical limits of quantum systems operating under realistic conditions. In cybersecurity and post-quantum cryptography, his work demonstrated operational evaluation of quantum-resistant communication protocols across large-scale emulated Internet environments, bridging the gap between theoretical security and deployable resilient infrastructure. Collectively, these contributions help define the next generation of trustworthy intelligent systems, resilient cyber architectures, and scalable quantum technologies with broad implications for national security, critical infrastructure, and future computing systems.
IMPACT ON ADVANCES
- Established foundational frameworks for testing and validating agentic AI systems without requiring explicit internal model specifications.
- Advanced the field of AI assurance through system-level observability, operational validation, and hierarchical testing methodologies.
- Introduced new theoretical models in quantum metrology for analyzing realistic noise, precision limits, and entanglement behavior.
- Contributed to the development and operational evaluation of post-quantum cryptographic protocols for future secure Internet infrastructures.
- Bridged AI, quantum computing, and cybersecurity into an integrated research direction addressing next-generation trustworthy and resilient systems.