Zhixin Pan

Zhixin Pan is an Assistant Professor in the Department of Electrical & Computer Engineering at Florida A&M University/Florida State University. Their research focuses on explainable machine learning, cybersecurity, quantum computation, and hardware security. They hold a Ph.D. in Computer Science from the University of Florida (2022), an M.S. in Computer Science from the University of Florida (2017), and a B.E. in Software Engineering from Huazhong University of Science and Technology (2015).

Research interests include developing trustworthy AI systems through explainable machine learning techniques, securing hardware components against trojan attacks, and advancing quantum state preparation algorithms. Their work bridges theoretical foundations with practical applications in integrated circuit design and medical imaging.

Publications emphasize cutting-edge topics like zero-shot learning for hardware security (TCAD 2024), adversarial attacks on Bayesian neural networks (TNNLS 2021), and quantum computing feedback mechanisms (QCE 2023).