
Director, Center for Connected Autonomy and Artificial Intelligence (CA-AI) https://ca-ai.fau.edu/
Office: Engineering East 328, 777 Glades Road, Florida Atlantic University, Boca Raton, FL 33431-0991
E-mail: dpados@fau.edu Phone: 561.297.2988
Dimitris A. Pados received the Diploma degree in computer science and engineering (five-year program) from the University of Patras, Greece, and the Ph.D. degree in electrical engineering with minors in computer science and mathematics from the University of Virginia, Charlottesville, VA with dissertation on neural network classifiers and distributed hypothesis testing. From 1997 to 2017, he was with the Department of Electrical Engineering, The State University of New York at Buffalo, as Assistant Professor, Associate Professor, Professor, and Clifford C. Furnas Endowed Chair Professor of Electrical Engineering. He served as Associate Chair and was appointed Chair of the Department of Electrical Engineering. He was elected University Faculty Senator four times and served on the Faculty Senate Executive Committee for two terms. In 2017, he joined Florida Atlantic University, Boca Raton, FL, as the Schmidt Eminent Scholar Professor of Engineering and Computer Science and I-SENSE Fellow. Dr. Pados is the Founding Director of the Center for Connected Autonomy and Artificial Intelligence at FAU https://ca-ai.fau.edu/ .
Dr. Pados served for several years as Editor for the IEEE Transactions on Neural Networks and the IEEE Signal Processing Letters and is a member of the IEEE Computational Intelligence, IEEE Information Theory, IEEE Communications, IEEE Signal Processing, and IEEE Intelligent Transportation Systems Societies. More than a dozen of the articles that he co-authored with his students received IEEE conference and journal paper awards, among which notably the 2003 IEEE Transactions on Neural Nerworks Outstanding Paper Award for groundbreaking work on overfitting, generalization error, and randomly expanded training sets. Dr. Pados received the 2009 SUNY-system-wide Chancellor’s Award for Excellence in Teaching and the 2011 University at Buffalo Exceptional Scholar-Sustained Achievement Award. He was presented with the 2021 Florida Atlantic Research & Development Authority Distinguished Researcher Award, Boca Raton, FL, the 2022 Florida Atlantic University Researcher of the Year Award, and the 2023 John J. Guarrera engineering national educator of the year award.
Dr. Pados has served as principal investigator on more than 60 federal (predominantly National Science Foundation and Department of Defense) research grants of nearly $30M and has been author/co-author of about 280 journal and conference proceedings articles. Some high-impact technical contributions from his team include small-sample-support adaptive filtering (auxiliary-vector filters), optimal multiple-access code sets (Karystinos-Pados bounds and designs), L1-norm principal-component analysis (optimal algorithms for exact L1-norm PCA and efficient solvers), and optimal interference-avoiding waveforms in arbitrary frequency bands, and training dataset curation for AI/ML learning.
