Rate My Professor Jose Lorenzo

Northeastern University

4.5

2 reviews · out of 5

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Ratings & reviews

4.08/20/2025

Makes complex ideas simple and clear.

5.04/30/2025

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About Jose

Jose Martinez Lorenzo is a Professor in the Departments of Mechanical and Industrial Engineering and Electrical and Computer Engineering at Northeastern University College of Engineering. He earned his PhD in Electrical Engineering from the University of Vigo, Spain, in 2005. Throughout his career at Northeastern, he has progressed from Assistant Professor to Associate Professor and now Professor.

His research focuses on compressive sensing and modeling using mechanical and electromagnetic waves, computational methods for differential and integral equations, physics-based signal processing, imaging, and optimization. Specific areas include radar system specification and design with antenna optimization, subsurface scattering analysis for biomedical and geophysical applications, explosives detection through portal-based, standoff-based, and underground-based approaches, multimodal breast cancer detection using x-ray and thermoacoustic-tomography, non-destructive testing (NDT) with mechanical and electromagnetic waves, and micro-sized microwave atmospheric sounding satellites. He has received the Best Paper Award at the 2012 IEEE Homeland Security Technology Conference for 'A Compressed Sensing Approach for Detection of Explosive Threats at Standoff Distances using a Passive Array of Scatters,' and served as advisor for the first-prize winning team in the 2012 National Security Innovation Competition with 'Next Generation Millimeter-Wave Body Imaging for Concealed Threat Detection.' Two papers co-authored by him featured on the cover of IEEE Antennas and Propagation Magazine: 'DIRECT: deterministic radio-electric coverage tool' (2011) and 'ICARA: Induced Current Analysis of Reflector Antennas' (2005).

Key publications include 'A holey cavity for single-transducer 3D ultrasound imaging with physical optimization' (Signal Processing, 2021), 'Single-Frequency Imaging and Material Characterization Using Reconfigurable Reflectarrays' (IEEE Transactions on Microwave Theory and Techniques, 2021), 'A Resonant Metamaterial Line Array For Ultrasound Compressive Imaging' (Journal of Vibration and Acoustics, 2020), and 'Digitized Metamaterial Absorber-based Compressive Reflector Antenna for High Sensing Capacity Imaging' (IEEE Access, 2019). As founder of MatrixSpace, he advances human-AI machine collaboration. His research is supported by NSF CAREER and DHS grants, and he holds patents including 'Compressive coded antenna/meta-antenna' (2020).