معرفی
Neil Cotter is a Professor (Lecturer) in the Department of Electrical & Computer Engineering at the University of Utah, where he has taught for over 30 years. His primary teaching focuses on electronics, probability and statistics, and foundational engineering courses like Circuits & Systems and Signals. He holds a BS from Caltech and MS/PhD degrees in Electrical Engineering and Mathematics from Stanford University.
Dr. Cotter’s research emphasizes nonlinear adaptive systems, particularly spiking neural networks, with early work on fixed-weight learning and universal approximation. His recent contributions include frameworks for analyzing and visualizing spiking neural networks using linear/nonlinear response surfaces. His interdisciplinary work also spans biomedical engineering, including cochlear implant research and thin-film electrode fabrication.
Teaching activities include courses such as Intro to ECE, Fundamentals of Signals/Systems, and Circuits & Systems Laboratories. He has contributed to curriculum adaptation and pedagogical strategies, addressing challenges in engineering education. Additionally, he engaged in community outreach, including high school workshops on polynomial factoring and sound-filtering circuits.
His academic journey includes roles as Assistant Professor in Biomedical Engineering (1986–1990), Research Assistant Professor (1991–2008), and Associate Professor (Lecturer) prior to his current position. He is fluent in German, French, and Italian.
