Dror Baron

Bio

Prof. Baron’s undergraduate studies were in the Electrical Engineering Department at the Technion – Israel Institute of Technology, where he belonged to the Technion’s Program for Outstanding Students. Following his graduation, he designed hardware modems at Witcom, an Israeli startup specializing in broadband wireless communication. At the same time he was pursuing his MSc, also at the Technion. In 1999 he joined the Department of Electrical and Computer Engineering and the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign, where he completed his Ph.D. in 2003. During the Spring 2003 semester, he was a Visiting Assistant professor at the University of Illinois.

After completing his Ph.D., Prof. Baron was a Postdoctoral Research Associateiate in the Department of Electrical and Computer Engineering at Rice University from 2003 to 2006, where he performed research with the Digital Signal Processing research group, which was among the pioneering groups in compressed sensing. From 2007 to 2008 he was a Quantitative Research Analyst with Menta Capital in San Francisco, where he developed quantitative investment strategies. After spending 2008 to 2010 as a Visiting Scientist in the Electrical Engineering Department at the Technion, Prof. Baron joined NC State in 2010 as an Assistant Professor.

Generally speaking, Prof. Baron’s research lies on the intersection of fast algorithms, signal processing, and information theory. He is particularly interested in developing systems that extract as much information as possible from data in a computationally timely manner.

Area(s) of Expertise

Quantum Information Science and Engineering
Communications and Signal Processing

Publications

• Group Testing With Side Information via Generalized Approximate Message Passing , IEEE TRANSACTIONS ON SIGNAL PROCESSING (2023)
• Rigorous State Evolution Analysis for Approximate Message Passing With Side Information , IEEE TRANSACTIONS ON INFORMATION THEORY (2023)
• Thermal Estimation for 3D-ICs through Generative Networks , 2023 IEEE INTERNATIONAL 3D SYSTEMS INTEGRATION CONFERENCE, 3DIC (2023)
• Mismatched Estimation in the Distance Geometry Problem , 2022 56TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS (2022)
• Modeling of Adaptive Receiver Performance Using Generative Adversarial Networks , IEEE 72ND ELECTRONIC COMPONENTS AND TECHNOLOGY CONFERENCE (ECTC 2022) (2022)
• RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks , MLCAD '22: PROCEEDINGS OF THE 2022 ACM/IEEE 4TH WORKSHOP ON MACHINE LEARNING FOR CAD (MLCAD) (2022)
• CONTACT TRACING ENHANCES THE EFFICIENCY OF COVID-19 GROUP TESTING , 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021) (2021)
• High Speed Receiver Modeling Using Generative Adversarial Networks , IEEE 30TH CONFERENCE ON ELECTRICAL PERFORMANCE OF ELECTRONIC PACKAGING AND SYSTEMS (EPEPS 2021) (2021)
• Local Convergence of an AMP Variant to the LASSO Solution in Finite Dimensions , 2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) (2021)
• An Approximate Message Passing Framework for Side Information , IEEE TRANSACTIONS ON SIGNAL PROCESSING (2019)

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