Rate My Professor Darrin Hanna

Hanna's research specializations encompass embedded artificial intelligence hardware for high-speed big data applications in FPGAs, cybersecurity, biosensors, nano-imaging, signal processing, and biomedical devices. He leads a research laboratory at Oakland University that engages graduate and undergraduate students in theoretical and experimental projects on mixed-mode systems design, precision scan probe microscopy using FPGAs, and high-throughput vehicle networks. Key publications include "The FPOA, a Medium-grained Reconfigurable Architecture for High-level Synthesis" in ACM Transactions on Reconfigurable Technology and Systems (2019), "Parametrized Low-complexity Hardware Architecture of an H.264-based Video Encoder for FPGAs" in Journal of Microprocessors and Microsystems (2024), "Optimal FPGA Implementation of Dense Extended Kalman Filter for Simultaneous Cell State Estimation" in IEEE Midwest Symposium on Circuits and Systems (2024), and "Cybersecurity Education with Generative AI: Creating Interactive Labs from Microelectronic Fundamentals to IoT Security Exploitation" in Journal of the Colloquium for Information Systems Security Education (2026). His contributions have earned awards such as the 2003 Michigan Economic Development Corporation Technology Commercialization Success Award, the 2007 IEEE Computer Society Undergraduate Computer Science and Engineering Teaching Award, the 2015 Oakland University School of Engineering and Computer Science Teaching Excellence Award, the 2017 Best Journal Paper of the Year Award, and the 2025 Service Excellence Award. Hanna serves as Editor for the Journal of Supercomputing - Advanced Embedded Systems.