Professor of Electrical and Computer Engineering
Jeffrey Krolik is Professor of Electrical and Computer Engineering at Duke University in Durham, NC. Canadian-born, he received his Ph.D. in Electrical Engineering from the University of Toronto in 1987. He began his academic career as an Assistant Professor of Electrical and Computer Engineering at Concordia University in Montreal. Interested in signal processing applications in the ocean sciences, he joined the Scripps Institution of Oceanography, University of California San Diego as an Assistant Research Scientist in 1990. At Scripps, he developed physics-based sensor array processing methods that exploit multi-path underwater acoustic propagation. Since coming to Duke in 1992, he has broadened his research interests to include statistical signal processing for surveillance radars and microwave remote sensing, active and passive sonar, and medical imaging. Some of his current projects include the development of aircraft height finding for over-the-horizon HF radar, through-the-sensor environmental monitoring of near-surface atmospheric conditions using a shipboard microwave radar, active sonar array shape estimation from reverberation, and functional magnetic resonance imaging algorithms which are robust to head motion. As a consultant, he has worked for the Office of Naval Research, the Defense Advanced Research Projects Agency (DARPA), the Air Force Rome Laboratories.
Appointments and Affiliations
- Professor of Electrical and Computer Engineering
- Office Location: 3465 CIEMAS, Durham, NC 27708
- Office Phone: (919) 660-5274
- Email Address: email@example.com
- B.A. University of Toronto (Canada), 1980
- M.A. University of Toronto (Canada), 1983
- Ph.D. University of Toronto (Canada), 1987
Physics-based and statistical signal processing, sensor array processing, radar and sonar systems, pervasive distributed processing
- ECE 485: Digital Audio and Acoustic Signal Processing
- ECE 493: Projects in Electrical and Computer Engineering
- ECE 688: Sensor Array Signal Processing
In the News
- Bringing Radar Down From the Clouds to the City Streets (May 13, 2021 | Pratt School of Engineering)
- Pratt Engineers Awarded Four Department of Defense Grants (Jun 18, 2013)
- Centers, J., and J. Krolik. “Vibrational Radar Backscatter Communication using Resonant Transponding Surfaces.” In Proceedings of the Ieee Sensor Array and Multichannel Signal Processing Workshop, 2022-June:71–75, 2022. https://doi.org/10.1109/SAM53842.2022.9827869.
- Ganti, A., and J. Krolik. “Sampling Rate Offset Estimation in Acoustic Sensor Networks.” In Ieee Workshop on Statistical Signal Processing Proceedings, 2021-July:436–40, 2021. https://doi.org/10.1109/SSP49050.2021.9513831.
- Zhang, J., Y. Huang, H. Yang, M. Martinez, G. Hickman, J. Krolik, and H. Li. “Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing.” In 2021 Ieee 3rd International Conference on Artificial Intelligence Circuits and Systems, Aicas 2021, 2021. https://doi.org/10.1109/AICAS51828.2021.9458573.
- Centers, J., and J. Krolik. “Vibrational Radar Backscatter Communications.” In Conference Record Asilomar Conference on Signals, Systems and Computers, 2021-October:1086–90, 2021. https://doi.org/10.1109/IEEECONF53345.2021.9723226.
- Ganti, A., and J. Krolik. “Adaptive Beamforming with a Partially Calibrated Distributed Array.” In Conference Record Asilomar Conference on Signals, Systems and Computers, 2021-October:199–203, 2021. https://doi.org/10.1109/IEEECONF53345.2021.9723125.