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Roman Kuc is a Professor at Yale University in the Department of Electrical and Computer Engineering. He holds a Ph.D. from Columbia University and has focused his research on brain-based devices and sensor-processor-actuator systems, which mimic biological brain features for enhanced performance in incomplete knowledge scenarios. His work integrates non-statistical learning principles to improve model accuracy, particularly in the context of intelligent sensor systems that are applied to robotic and autonomous tasks. His research includes developing optical sonar sensors utilizing biomimetic configurations to enhance information content. Kuc has received numerous accolades for his contributions to the field, including an Honorary Doctorate from the Glushkov Institute of Cybernetics in Kyiv and several awards from prestigious organizations such as the IEEE. Alongside his teaching, he has published books and papers on various topics within electrical engineering, contributing to the advancement of knowledge in smart devices and communications.
Yale University • New Haven, CT
Teaching and conducting research in the Department of Electrical and Computer Engineering.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.