Professor of Electrical Engineering
Room / Office: Becton 511
15 Prospect StreetNew Haven, CT 06511
P.O. Box 208286New Haven, CT 06520
Phone: (203) 432-4291
Ph.D., Columbia University
Brain-Based Devices. BBD’s are sensor-processor-actuator systems that employ features that a biological brain uses to achieve robust performance in the presence of incomplete knowledge, errors and missing data. Optical and sonar sensors use biomimetic configurations and generate spike codes to enhance information content. Processing uses non-statistical principles that incorporate learning and improves model accuracy. Actuators close the loop by providing sensor information that disambiguates conflicts and form optimal trajectories.
The Intelligent Sensors Lab explores problems by starting with available sensing, applying physical principles to achieve perception, and approach autonomous task completion through cognition.
Selected Awards & Honors:
- Elected to Connecticut Academy of Science and Engineering (2004)
- Fellow, Shevchenko Scientific Society (2001)
- Order of the Golden Bulldog Award (1999)
- Academician (Honorary), Academy of Sciences of Higher Education of Ukraine (1998)
- Sheffield Distinguished Teaching Award (1997)
- Master of arts, privatim, Yale University (1995)
- Speech and Signal Processing Society Paper Award, IEEE Acoustics (1988)
- IEEE Acoustics, Speech, and Signal Processing Society Paper Award (1983)
- R. Kuc. Model predicts bat pinna ridges focus high frequencies to form narrow sensitivity beams. Journal Acoustical Society of America, 125(5), May 2009, pp. 3454-3459.
- F.J. Alvarez and R. Kuc. High resolution adaptive spiking sonar. IEEE Trans UFFC. 56(5), 1024-1033, 2009.
- L. Kleeman and R. Kuc. Sonar sensing. Chapter in Springer Handbook of Robotics, B. Siciliano and O. Khatib (Eds). Springer Press, 2008. This book received two PROSE 2009 Awards by the American Association of Publishers.
- R. Kuc. Generating B-scan images with a conventional sonar. IEEE Sensors Journal. 8(2), 151-160, 2008.
- R. Mueller and R. Kuc. Biosonar-Inspired Technology: Goals, Challenges, and Insights. Bioinspiration & Biomimetics, 2 pp. 1-16, 2007.
- "Biomedical Magnetism Imaging Apparatus and Method", 5,594,849, 1998
- "Adaptive Acoustic Signal Sensing Device and Recognition System", 5,577,006, 1993