Chung-Fu Chang

Dr. Chung-Fu Chang brings 35 years of expertise in research and development within Signal/Image Processing, Automatic Object Detection/Classification, and Synthetic Aperture Radar image formation. He has developed machine learning technologies, notably for Fingerprint Classification Systems (U.S. patent 5,572,597) and a method for orienting electronic medical images (U.S. patent 6,055,326). Since 2019, he has taught “Machine Learning for Signal Processing” at Johns Hopkins University's Whiting School of Engineering. Dr. Chang earned his B.S. in Physics from National Tsing Hua University and a Ph.D. in Biophysics from the University of California, Berkeley. He has also served as Principal Professional Staff at the Johns Hopkins University Applied Physics Laboratory and is a Life Senior Member of the IEEE Signal Processing Society.