Profile

José M. F. Moura is the Philip L. and Marsha Dowd University Professor at Carnegie Mellon University, which he joined in 1984. He got his Engenheiro Electrotécnico degree from Instituto Superior Técnico (Universidade de Lisboa, Portugal), and his Master of Science, Electrical Engineering, and Doctor of Science in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT).  He was Professor Auxiliar (1975-1979) and Professor Catedrático at IST (1979-1984). At MIT, he was Genrad Visiting Associate Professor (1984-86) and Visiting Professor (1999-2001 and 2006-2007). He was also Visiting Professor at New York University (2013-2014). His research is in signal and image processing and data science, in particular, in statistical, peer-to-peer, and graph signal processing and learning. He holds 19 patents, the technology of two of which (co-inventor Alek Kavcic) is in the read channel of over four billion hard disk drives (60% of all computers sold since 2003) and were the subject of a 2016 $750 million settlement between Carnegie Mellon University and a major chip manufacturer (then, the largest IP settlement ever in the IT area). He was 1995-1999 Editor in Chief of the IEEE Transactions on Signal Processing, 2008-09 President of the IEEE Signal Processing Society, and 2019 IEEE President and CEO (500 thousand members in over 190 countries). He is a Fellow of the IEEE, AAAS, and the US National Academy of Inventors, and a member of Academia das Ciências de Lisboa, Portugal, and of the US National Academy of Engineering. He was awarded doctor honoris causa by the University of Strathclyde (Scotland, UK) and by Universidade de Lisboa (Portugal). He received the Great Cross of Prince Henry bestowed to him by the President of the Republic from Portugal. He received the Claude Shannon-Harry Nyquist Technical Achievement Award and the Norbert Wiener Society Award from the IEEE Signal Processing Society, and the 2023 IEEE Jack S. Kilby Signal Processing Medal “[f]or contributions to theory and practice of statistical, graph, and distributed signal processing.” In 2024 he received the IEEE Haraden-Pratt Award.