Chein-I Chang

Chein-I Chang is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). His research focuses on data compression, digital signal processing, statistical communication theory, and spectral analysis, with significant contributions to hyperspectral imaging and remote sensing applications. He holds a Ph.D. in Electrical Engineering from the University of Maryland, College Park, and multiple advanced degrees in Mathematics and Theoretical Computer Science from prestigious institutions.

Dr. Chang’s educational background includes a Ph.D. (Electrical Engineering, 1987) from the University of Maryland, College Park; M.S. degrees in Electrical Engineering (1982) and Theoretical Computer Science (1980) from the University of Illinois; an M.A. in Mathematics (1977) from SUNY; and earlier degrees from National Tsing Hua University and Soochow University. His work bridges signal processing theory and practical applications in medical imaging, environmental monitoring, and agricultural diagnostics.

His research emphasizes hyperspectral image processing, anomaly detection, and machine learning-driven classification. Notable contributions include algorithms for constrained energy minimization, band selection optimization, and domain generalization in medical and agricultural contexts. He leads the Remote Sensing Signal and Image Processing Laboratory (RSSIPL), advancing imaging technologies for diverse fields.

While no formal scientific awards are listed, his extensive publication record and academic role reflect significant scholarly impact. His lab’s work addresses challenges in real-time anomaly detection, spectral-spatial fusion, and subpixel analysis, with applications in healthcare and environmental monitoring.