Leadership Team


Xiaolin Andy Li (Center Director)

Dr. Xiaolin Andy Li is a Professor and University Term Professor of Electrical and Computer Engineering at the University of Florida where he teaches cloud computing, big data ecosystems, cognitive IoT, and advanced deep learning. He is the director of Large-scale Intelligent Systems Laboratory (Li Lab). He led the design and deployment of one of the first software-defined campus research networks and campus clouds GatorCloud. He received the NSF CAREER Award, the Internet2 Innovative Application Award, NSF I-Corps Top Team Award,  Top Team Award (DeepBipolar) in the CAGI Challenge, and Best Paper Awards (IEEE ICMLA 2016, IEEE SECON 2016, ACM CAC 2013, and IEEE UbiSafe 2007).
Research Interests: Cloud Computing, Intelligent Platforms, Deep Learning, Precision Medicine, IoT/CPS, Security & Privacy


Jose Principe (Deputy Director)

Dr. Jose C. Principe is a Distinguished Professor of Electrical and Computer Engineering at the University of Florida where he teaches advanced signal processing, machine learning and artificial neural networks (ANNs) modeling. He is the Beckis Professor and the Founder and Director of the University of Florida Computational NeuroEngineering Laboratory (CNEL) www.cnel.ufl.edu . His primary area of interest is extracting information from time varying signals with adaptive neural models, with applications to brain machine interfaces. He is a Fellow of IEEE, AIMBE, and IAMBE. He received IEEE Neural Network Pioneer Award in 2011.
Research Interests: Adaptive Systems Theory, Machine Learning, Information Theoretic Learning


Zhu Li (Center Co-Director)

Dr. Zhu Li is an Associate Professor with the Dept of Computer Science & Electrical Engineering, University of Missouri,Kansas City, and director of the Multimedia Computing & Communication (MC^2) Lab. His research interests include audio-visual analytics and machine learning with its application in large scale video repositories annotation, mining and recommendation, video object identification and event recognition, as well as video adaptation, source-channel coding and distributed optimization issues of the wireless video networks.
Research Interests: Audio-Visual Analytics, Machine Learning, Object Recognition, Deep Learning


Yugyung Lee (Site Co-Director)

Dr. Yugyung Lee is a Professor in the department of Computer Science and Electrical Engineering at University of Missouri – Kansas City. Her research interests include Big Data Analytics, Computational Intelligence, Semantic Web, Deep Learning, Medical Informatics. She is the author of over one hundred articles in top tier journals and conferences and also received significant funding from federal agencies includingthe National Institute of Health (NIH) and the National Science Foundation (NSF).
Research Interests: Big Data Analytics, Computational Intelligence, Deep Learning, Medical Informatics


Dejing Dou (Center Co-Director)

Dr. Dejing Dou is a Professor in the Computer and Information Science Department at the University of Oregon and leads the Advanced Integration and Mining (AIM) Lab. His research areas include ontologies, data mining, data integration, information extraction, and health informatics. His DEXA’15 paper received the best paper award. His KDD’07 paper was nominated for the best research paper award. He is on the Editorial Boards of Journal on Data Semantics and Journal of Intelligent Information Systems. Dejing Dou has received over $4.5 million PI research grants from the NSF and the NIH.
Research Interests: Artificial Intelligence, Data Mining, Health Informatics


Allen Malony (Site Co-Director)

Dr. Allen D. Malony is a Professor in the Department of Computer and Information Science at the University of Oregon. He was awarded NSF National Young Investigator award in 1994, a Fulbright Research Scholarship in 1999,  the prestigious Alexander von Humboldt Research Award in 2002. He led the TAU Performance System, a leading open source parallel performance tool suite widely used around the world.
Research Interests: Performance Analysis, PDC/HPC, Scientific Software Environments