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Jeffrey L. Krolik

Professor of Electrical and Computer Engineering
Pierre R. Lamond Department of Electrical and Computer Engineering
Box 90291, Durham, NC 27708-0291
3465 CIEMAS, Durham, NC 27708

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 Duke Appointments & Affiliations


Professor of Electrical and Computer Engineering · 2001 - Present Pierre R. Lamond Department of Electrical and Computer Engineering, Pratt School of Engineering

Recent News Items


Published May 11, 2021
Pratt School of Engineering
Bringing Radar Down From the Clouds to the City Streets
Published June 18, 2013
Pratt Engineers Awarded Four Department of Defense Grants

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Recent Scholarly Works


Ship Classification by Cyclostationary Analysis of Preimage Formation ISAR Data

Journal article IEEE Transactions on Radar Systems · January 1, 2026 Inverse synthetic aperture radar (ISAR) has proven valuable for imaging in maritime contexts. However, micro-Doppler (m-D) effects from rotating components on ships often blur ISAR imagery and complicate classification. On the other hand, m-D measurement c ... Full text Cite

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 Cite

Cyclostationary 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 Cite
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Recent Grants


UAS Detection, Classification and Tracking with Millimeter-Wave MIMO Radar

ResearchPrincipal Investigator · Awarded by Toyon Research Corporation · 2022 - 2027

HF Towed-Array Calibration and Beamforming

ResearchPrincipal Investigator · Awarded by MIT Lincoln Laboratory · 2023 - 2027

Integrating Adaptive Beamforming and Classification for Passive Sonar Detection in Complex Environments

ResearchPrincipal Investigator · Awarded by Office of Naval Research · 2023 - 2027

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Education


University of Toronto (Canada) · 1987 Ph.D.
University of Toronto (Canada) · 1983 M.A.
University of Toronto (Canada) · 1980 B.A.