Mohamed Chouikha

Biography

Mohamed F. Chouikha is a Professor and Chair of the department of Electrical and Computer Engineering at Howard University. Dr. Chouikha received his Ph.D. from the University of Colorado in Boulder. He is a Senior Member of IEEE with primary expertise in signal processing and in detection and estimation. During the last 28 years his research activity has been quite diverse. His funded research areas include sensory data fusion, adaptive signal processing, statistical machine learning with application to pattern recognition, human detection in infrared imaging, advanced perception for XUV, wireless communication and intelligent signal processing and control. Lately, he was also involved in developing new tools for engineering education namely the mobile studio. During his tenure at Howard he has published over 120 publications, supervised three Post-docs, produced 15 PhDs and twice as much Masters. He is a founding Director of the Washington Academy of Biomedical Engineering. He has been a consultant to a number of companies in the Washington area , since 1988 he has been with the Department of Electrical and Computer Engineering at Howard University, where he is a Full Professor of Electrical and Computer Engineering. In July 2000 he became the Chair of the EE Department. In 2004, he established a new Computer Engineering program within the Department of Electrical Engineering, since then renamed as the Department of Electrical and Computer Engineering at Howard University. He was also the Director of the IC-Center of Academic Excellence and he was the founding and first Director of the Center of Applied High Performance Computing, and one of the founding Directors of the Washington Academy of Biomedical Engineering. His research interest covers many subjects including but not limited to Statistical Machine Learning, Signal Processing, Communications, and Control. He has performed research in the areas of Classification and Compression, Automatic Target Recognition, and Automatic Diagnosis of Medical Images and Computer Vision. He has also conducted research in detection and estimation, real time signal processing, modeling and simulation of computer communication networks, automatic test pattern generation and verification of complex digital systems, in simulation and modeling of Agile and distributed Control of multi-agent autonomous group robots and nonlinear signal processing. His current research is in Medical image processing, Speech processing and language translation; and the application of High performance grid computing to data fusion in decision making. Most of Dr. Chouikha research has been supported by federal agencies, foundations and industry, he has published more than 120 journals and conference papers with as many citations.. Dr. Chouikha has been actively involved in graduate training in engineering and imaging technology.

Research Interest

Signal and information processing, machine learning, Hardware and software security, engineering education