University of Kentucky
Faculty
Dr. Corey E. Baker is the PI of the UK NACME Google AMLI Bootcamp. Baker is an Assistant Professor in the Department of Computer Science in the College of Engineering at the University of Kentucky (UK). He directs the Network Reconnaissance (NetRecon) Lab where his research interests are in the area of Cyber Physical Systems (CPS) with emphasis in: opportunistic wireless communication for the Internet of Things (IoT), smart cities, smart homes, and mobile health environments. Professor Baker received a B.S. degree in Computer Engineering from San Jose State University (SJSU), a M.S. in Electrical and Computer Engineering from California State University, Los Angeles (CSULA), and M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Florida (UF). After completion of his graduate studies, Dr. Baker was a University of California Presidents Postdoctoral Fellow in the Electrical and Computer Engineering department at the University of California San Diego under the mentorship of Tara Javidi and Ramesh Rao. Baker was later a Visiting Scholar in the Electrical Engineering department at the University of Southern California under the mentorship of Bhaskar Krishnamachari.
Dr. Christine Allen-Blanchette is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Princeton University. Allen-Blanchette conducts research in machine learning and was part of the inaugural class of Presidential Postdoctoral Fellows at Princeton University where she is mentored by Naomi Leonard. Dr. Allen-Blanchette completed her PhD in Computer Science and Master’s in Robotics at the University of Pennsylvania where she was supervised by Kostas Daniilidis. Prior to her graduate work, Dr. Allen-Blanchette completed Bachelor’s degrees in Mechanical Engineering and Computer Engineering at San Jose State University.
Dr. Christan Grant is an Associate Professor in the School of Computer Science at the University of Oklahoma Gallogly College of Engineering. Dr. Grant leads the OU Data Analytics Lab. His research interests can be categorized into three areas: Analyzing Data, System building, and Novel Methods for Human interaction. Dr. Grant obtained his MS and PhD from the University of Florida Data Science Research Lab in 2015.
Graduate Student TAs
TBA
Staff
University of Arkansas Faculty
Faculty
Dr. Le is currently an assistant Professor in the Department of Computer Science & Computer Engineering at University of Arkansas. She was a research associate in the Department of Electrical and Computer Engineering (ECE) at Carnegie Mellon University (CMU) in 2018-2019. She received the Ph.D degree in ECE at CMU in 2018, ECE Master degree at CMU in 2015, CS Master Degree at University of Science, Vietnam in 2009 and CS Bachelor degree at University of Science, Vietnam in 2005.
Her current research interests focus on Image Understanding, Video Understanding, Computer Vision, Robotics, Machine Learning, Deep Learning, Reinforcement Learning, Biomedical Imaging, SingleCell-RNA.
Her past research interests: Biometrics, Compressed Sensing, Image Processing, Data Hiding, Watermarking, Document Analysis, Handwriting recognition.
Her publications appear in top conferences including CVPR, MICCAI, ICCV, SPIE, IJCV, ICIP etc, and premier journals including IJCV, JESA, TIP, PR, JDSP, TIFS, etc. She has co-authored 55+ journals, conference papers, and book chapters, 6+ patents and inventions. She co-organized the Deep Reinforcement Learning Tutorial for Medical Imaging at MICCAI 2018, Medical Image Learning with Less Labels and Imperfect Data workshop at MICCAI 2019, Precognition: Seeing through the Future at CVPR 2019. She has served as a reviewer for 10+ top-tier conferences and journals, including TPAMI, AAAI, CVPR, NIPS, ICCV, ECCV, MICCAI, TIP, PR, TAI, IVC, etc. She is currently a guest editor of Frontier and MDPI journals.
Dr. Khoa Luu serves as the Director of Computer Vision and Image Understanding Lab and an Assistant Professor in the Department of Computer Science and Computer Engineering at the University of Arkansas in Fayetteville, AR. His research focuses on Biometrics, Image Processing, Computer Vision, Machine Learning and other A.I topics. Before joining the faculty at the University of Arkansas, he served as a Research Project Director in the Cylab Biometrics Center at Carnegie Mellon University. His academic credentials include a Ph.D. and M.S. in computer science from Concordia University in Canada. He also pursued but did not complete his second Ph.D degree in Electrical and Computer Engineering at Carnegie Mellon University to strengthen his background in signal processing. Dr. Luu’s team has developed multiple real-world Biometrics and Computer Vision applications. The age estimation algorithm presented by his group achieved the best performance on age estimation among published methods and commercial systems reported in `"Face Recognition Vendor Test (FRVT) - Performance of Automated Age Estimation Algorithms'' published by National Institute of Standards and Technology (NIST) in 2014. In addition, Dr. Luu led a team dedicated to developing the CMU Driver Behavioral Situational Awareness System to support the Federal Highway Administration (FHWA).
Dr. Luu is currently an organizer and Program Committee member for several workshops and conferences, such as: CVPR Precognition, MICCAI, AAAI and a reviewer for several conferences and journals, such as: CVPR, ICCV, ECCV, ICLR, MICCAI, ICPR, NeurIPS, IEEE TPAMI, IEEE TIP, IJCV, etc. He is a coauthor of 80+ papers, some are in top-tier conferences, such as: CVPR, ICCV, and high impact journals, e.g. IJCV, TPAMI, IEEE TIP, etc. Many of these papers are about automatic human behavior and biometrics understanding, temporal deep learning modeling and reinforcement learning. He received four patents and two best paper awards in IEEE International Conference on Biometrics. He was a vice chair of Montreal Chapter IEEE SMCS in Canada from September 2009 to March 2011.
Dr. Chase Rainwater joined the industrial engineering faculty at the University of Arkansas in August 2009 where he is currently an Associate Professor and serves as Associate Department Head. He is the Director of the J.B. Hunt Innovation Center of Excellence and the Co-Director of the Arkansas Security Research and Education Institute. His contributions to industrial engineering research include more than 30 published journal articles, conference papers and book chapters. Dr. Rainwater's work has been supported through more than over $20M in research funding from sources including the National Science Foundation, U.S. Department of Transportation, U.S. Department of Defense, U.S. Army Corps of Engineers and United States National Laboratories, as well as numerous industry and foundation sponsors. His research interests include supply chain logistics, national security, large-scale algorithm design and food safety. He has advised 6 Ph.D. dissertations along with multiple M.S. and undergraduate theses. His work has been honored with best paper awards from the Industrial and Systems Engineering Research Conference and the Reliability and Maintainability Symposium. He is an active member in the Institute for Operations Research and Management Sciences and served as Program Chair for the 2018 Industrial and Systems Engineering Research Conference. Dr. Rainwater serves on numerous departmental and college committees and is active in the Northwest Arkansas STEM community as a 10-year mentor in the FIRST robotics program. Dr. Rainwater was awarded the University of Arkansas Industrial Engineering Outstanding Teaching Award in 2012, 2014 and 2015, the Outstanding Industrial Engineering Faculty Member in 2017, the College of Engineering Collaborative Research Faculty Award in 2018 and the University of Arkansas Industrial Engineering Outstanding Research Award in 2019.
Dr. Shengfan Zhang is an Associate Professor and 2021-2022 John L. Imhoff Chair in the Department of Industrial Engineering at the University of Arkansas. She received her Ph.D. and M.S. in Industrial Engineering from North Carolina State University. Zhang’s current research focuses on developing methodologies and solution approaches in medical decision making, especially advancing predictive and prescriptive analytics for disease prevention and treatment. Her research is funded by the National Institute of Health, National Science Foundation, Department of Transportation, Arkansas Biosciences Institute, etc. She and her student co-authors have won several awards and recognition, including the IISE Best Paper Award in Track and the INFORMS Interactive Sessions Competition. Zhang is currently an Area Editor for the journal Health Systems and Associate Editor for IISE Transactions on Healthcare Systems Engineering. She is serving as the Past President for the INFORMS Section on Public Sector Operations Research, and a member of the Diversity, Equity, and Inclusion Committee of INFORMS.