Edwin Marengo
Associate Professor,
Electrical and Computer Engineering
Contact
- emarengo@ece.northeastern.edu
- 360 Huntington Avenue
Boston, Massachusetts 02115
Social Media
Office
- 331 DA
- 617.373.3358
Research Focus
Theoretical and applied electromagnetics, theoretical and applied optics, scattering theory, wave inverse problems, noniterative inverse scattering, physics-based signal processing and imaging, change detection theory and applications, compressive sensing, electromagnetic information theory, analysis and design of optical and quantum holographic detectors
About
Edwin Marengo is an associate professor of Electrical and Computer Engineering at Northeastern University, where his research focuses on physics-based signal processing and imaging, and electromagnetic information theory. He obtained the Ph.D. in electrical engineering from Northeastern University in 1997, and worked for several years (from 1997 to 2004) as postdoctoral research associate at Northeastern, the University of Arizona and Arizona State University and as research professor at the Technological University of Panama. His research interests are broad and address problems in electromagnetic theory, mathematical physics, wave inversion and imaging theory, wireless communications and signal processing. He is a former Fulbright scholar sponsored by the USA Department of State, is a member of Phi Kappa Phi, Eta Kappa Nu, the IEEE, the American Physical Society and the Optical Society of America, and has been invited speaker at several universities in the USA and abroad.
Education
- PhD, Northeastern University, 1997
Honors & Awards
- National Science Foundation CAREER Award
Research Overview
Theoretical and applied electromagnetics, theoretical and applied optics, scattering theory, wave inverse problems, noniterative inverse scattering, physics-based signal processing and imaging, change detection theory and applications, compressive sensing, electromagnetic information theory, analysis and design of optical and quantum holographic detectors
Selected Research Projects
- Cognitive Distributed Sensing in Congested Radio Frequency Environments
- – co-Principal Investigator, U.S. Army Research Laboratory
Department Research Areas
Selected Publications
- E.A. Marengo, E.S. Galagarza, R. Solimene, Data-Driven Linearizing Approach in Inverse Scattering, Journal of the Optical Society of America A, 34(9), 2017, 1561-1576
- E.A. Marengo, Quasi-Born Approximation Scattering and Inverse Scattering of Multiple Scattering Targets, IET Radar, Sonar and Navigation, 11, 2017, 1276-1284
- J. Tu, E.A. Marengo, Generalized Likelihood Ratio Test Change Detection with Optical Theorem Constraint, Journal of the Optical Society of America A, 33, 2016, 2225-2236
- E.A. Marengo, J. Tu, Generalized Optical Theorem in the Time Domain, Progress in Electromagnetics Research B, 65, 2016, 1-18
- E.A. Marengo, J. Tu, Optical Theorem Detectors for Active Scatterers, Waves in Random and Complex Media, 25, 2015, 682-707
- E.A. Marengo, Nonuniqueness of Optical Theorem Detectors, Journal of the Optical Society of America A, 32, 2015, 1936-1942
- E.A. Marengo, Inverse Diffraction Theory and Computation of Minimum Source Regions of Far Fields, Mathematical Problems in Engineering, 513953, 2014, 1-18
- E.A. Marengo, J. Tu, Optical Theorem for Transmission Lines, Progress in Electromagnetics Research B, 61, 2014, 253-268
- E.A. Marengo, A New Theory of the Generalized Optical Theorem in Anisotropic Media, IEEE Transactions on Antennas and Propagation, 61, 2013, 2164-2179
May 24, 2023
Kostas Research Institute Receives $13M U.S. Army Contract for Wireless Research
The Kostas Research Institute (KRI) at Northeastern University has been awarded $13 million by the U.S. Army Research Laboratory for foundational research into Cognitive Distributed Sensing in Congested Radio Frequency Environments. KRI and five partner institutions will conduct innovative research to enable technologies in distributed machine learning, signal processing algorithms, and computational, sensing, and communication hardware infrastructure for distributed sensing and communication.