Overview
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.
Current Appointments & Affiliations
Professor of Electrical and Computer Engineering
·
2001 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Recent Publications
Adaptive focusing for wideband beamforming in multipath environments.
Journal Article The Journal of the Acoustical Society of America · January 2025 This paper addresses achieving the high time-bandwidth product necessary for low signal-to-noise ratio (SNR) target detection and localization in complex multipath environments. Time bandwidth product is often limited by dynamic environments and platform m ... Full text CiteCyclostationary Analysis of Micro-Doppler Signature for ISAR Ship Classification
Conference Proceedings of the IEEE Radar Conference · January 1, 2025 This paper presents an approach to inverse synthetic aperture radar (ISAR) ship classification by exploiting the cyclostationary properties of micro-Doppler (m-D) signatures from rotating shipborne components. Unlike traditional methods that attempt to eli ... Full text CiteDoppler Adaptive Suppression of Interference in Moving Target Indicator Radar
Conference Proceedings of the IEEE Radar Conference · January 1, 2025 This paper presents temporal processing for removal of RF interference in pulse-Doppler radar. With spectrumsharing between radar and communications users becoming more common, unintentional spectral overlap of RF sources becomes unavoidable. Approaches fo ... Full text CiteRecent Grants
AI Institute: Athena: AI-Driven Next-generation Networks at the Edge
ResearchDirector · Awarded by National Science Foundation · 2021 - 2027HF Towed-Array Calibration and Beamforming
ResearchPrincipal Investigator · Awarded by MIT Lincoln Laboratory · 2023 - 2026UAS Detection, Classification and Tracking with Millimeter-Wave MIMO Radar
ResearchPrincipal Investigator · Awarded by Toyon Research Corporation · 2022 - 2026View All Grants
Education, Training & Certifications
University of Toronto (Canada) ·
1987
Ph.D.
University of Toronto (Canada) ·
1983
M.A.
University of Toronto (Canada) ·
1980
B.A.