Gonzalo Arce

Charles Black Evans Professor, JPMorgan-Chase Senior Faculty Fellow

About Gonzalo Arce

Dr. Gonzalo Arce’s expertise lies in the fields of computational imaging, signal processing on graphs, and machine learning. His research is highly interdisciplinary, drawing from the theories of mathematics, optics, statistics, and artificial intelligence. Dr. Arce’s primary research areas encompass computational compressive lidar, compressive sensing for spectral imaging, spectral X-Ray tomography, generative machine learning for inverse problems, and hypergraph neural networks. He applies his research to various domains, including biomedicine, Earth science, complex systems, and lithography. Dr. Arce is an active member of the Institute of Financial Services Analytics (IFSAN) and the Data Science Institute, both at the University of Delaware. He collaborates extensively with research groups worldwide, including those in Finland, China, Colombia, Bolivia, Poland, Ukraine, and Spain. Dr. Arce has twice held the Nokia-Fulbright Distinguished Chair in Information and Communications Technologies in Helsinki, Finland. He has received numerous prestigious recognitions, including being a Fellow of the National Academy of Inventors, a Life Fellow of the IEEE, a Fellow of the International Society of Optics and Photonics (SPIE), a Fellow of the AAIA, and a Fellow of the Center of Advanced Studies at the University of Delaware.

In addition to his research contributions, Dr. Arce frequently serves as an expert witness in patent litigation cases, offering his expertise in signal and image processing, spectral imaging, QR codes, electronic printing, and X-Ray tomography. He is passionate about teaching, offering a first course on machine learning, and a course on imaging with deep learning. Dr. Arce has an extensive publication record, having authored or co-authored over 800 scientific papers, holds more than 30 patents, and has authored five textbooks covering various aspects of imaging and signal processing.