LAWRENCE O. HALL is a Distinguished University Professor in the Department of Computer Science and Engineering at the University of South Florida and the co-Director of the Institute for Artificial Intelligence + X. He received a Ph.D. in Computer Science from Florida State University (1986) and a B.S. in Applied Mathematics from Florida Institute of Technology (1980). He is a fellow of the IEEE, AAAS, AIMBE, IAPR, and AAIA. He received the 2021 Fuzzy Pioneer award from the IEEE CI Society. He received the Norbert Wiener award in 2012 and the Joseph Wohl award in 2017 from the IEEE SMC Society. He was the IEEE VP Publications 2021-2. He is a past President of the IEEE Systems, Man and Cybernetics Society, former EIC of what is now the IEEE Transactions on Cybernetics. He is on the editorial boards of the Proceedings of the IEEE and IEEE Spectrum. His research interests lie in learning from big data, distributed machine learning, medical image understanding, bioinformatics, pattern recognition, modeling imprecision in decision making, and integrating AI into image processing. He continues to explore un and semi-supervised learning using scalable fuzzy approaches. He has authored or co-authored over 100 publications in journals, as well as many conference papers and book chapters. His work has been cited over 40,000 times per Google Scholar with an H-index of 62. He did early work showing that unsupervised fuzzy clustering could be combined with a knowledge-based approach to segment brain tumors in an explainable manner. He has worked on scalable methods for fuzzy clustering and an evolutionary algorithm approach to optimizing fuzzy clusters. With labeled data, he has done work to learn good models of medical images from small data. He has also done work with imbalanced data.