Frank Shih

Frank Shih is a Professor of Computer Science at the New Jersey Institute of Technology (NJIT). His research focuses on image processing, deep learning, medical imaging, and cybersecurity, with applications in healthcare, agriculture, and transportation. He holds a Ph.D. in Electrical and Computer Engineering from Purdue University (1987), an M.S. from Stony Brook University (1984), and a B.S. from National Cheng Kung University (1980).

His work includes developing novel techniques for medical image enhancement (e.g., X-ray contrast improvement), crop freshness assessment via deep learning, and robust defense against adversarial attacks in neural networks. He has also pioneered methods in land cover segmentation, drug toxicity prediction, and real-time vehicle counting systems.

Shih’s research integrates interdisciplinary approaches, combining computer vision with domain-specific challenges in healthcare, agriculture, and infrastructure monitoring. His laboratory focuses on advancing AI-driven solutions for real-world problems, including automated diagnosis systems and secure image processing frameworks.