معرفی
Jack Koplowitz is an Associate Professor in the Department of Electrical & Computer Engineering at Clarkson University's Coulter School of Engineering & Applied Sciences. His research focuses on pattern recognition, information theory, image/signal processing, computer vision, and communication theory. He holds a Ph.D. in Electrical Engineering from the University of Colorado (1973), an M.E. from Stanford University (1968), and a B.E. from City College of New York (1967).
His teaching spans pattern recognition, coding theory, signals and systems, and communications. Research highlights include contributions to digital geometry (e.g., contour reconstruction, digital convex polygons) and applications of neural networks in power systems. He has published extensively since the 1970s, with notable work in subpixel accuracy, photovoltaic modeling, and hierarchical image representations.
No scientific awards are explicitly listed. His academic contributions emphasize foundational work in digital image processing, signal theory, and algorithmic approaches to geometric problems.
