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:
- Honorary Doctorate, Glushkov Institute of Cybernetics, Kyiv, Ukraine (2013)
- Award for Excellence in Physical Sciences and Mathematics, for Springer Handbook of Robotics, by Professional & Scholarly Division, Association of American Publishers, Inc. (2008)
- 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)
- Electrical Engineering in Context: Smart Devices, Robots and Communications. Cengage Learning Press. 2014.
- The Digital Information Age - 2nd Edition. Cengage Learning Press. 2014.
- Sonar sensing. (with L. Kleeman) Chapter in Springer Handbook of Robotics - 3nd Edition, B. Siciliano and O. Khatib (Eds). Springer Press. 2016.
- R. Kuc and V. Kuc. Bat wing air pressures may deflect prey structures to provide echo cues for detecting prey in clutter. Journal of the Acoustical Society of America, 132(3), 2012, 1776-1779.
- R. Kuc and V. Kuc. Modeling human echolocation of near-range targets with an audible sonar. Journal of the Acoustical Society of America, 139(2), 581-587, 2016.
- R. Kuc and V. Kuc. Experimental audible sonar to model echolocation by the blind. 5th Joint Meeting of the Acoustical Society of America and the Acoustical Society of Japan in Honolulu, Hawaii, 2016.
- "Biomedical Magnetism Imaging Apparatus and Method", 5,594,849, 1998
- "Adaptive Acoustic Signal Sensing Device and Recognition System", 5,577,006, 1993