Bart Hammig, PhD
Dr. Bart Hammig is a Professor of Public Health and Undergraduate Coordinator of Public Health in the Department of Health, Human Performance, & Recreation at the University of Arkansas. Dr. Hammig’s main research focus is epidemiology and surveillance of public health issues, with a focus on intentional and unintentional injury.
Jennifer Veilleux, PhD
Dr. Jennifer C. Veilleux is an Associate Professor of Psychological Science and a licensed clinical psychologist. She runs the TEMPT lab, which stands for Treating Emotion and Motivational Processes Transdiagnostically. Her research primarily focuses on understanding the motivational and emotional processes that underlie mental health struggles, with a focus on personality pathology and engagement in health risk behaviors (cigarette smoking, binge eating, alcohol use, non-suicidal self-injury). Her work has been funded by the John Templeton Foundation, the Arkansas Biosciences Institute, and the National Institutes of Health. In addition to having expertise in psychometrics and measure development, Dr. Veilleux’s primary methodology is ecological momentary assessment (EMA). EMA involves obtaining real-time data from people on their mobile devices during daily life, where she focuses on looking at how motivational and emotional attributes vary over time and across situations. She has focused on attributes like distress intolerance, beliefs about emotion, willpower, and motivation to quit smoking, which are typically studied as stable traits rather than fluctuating dynamically over time. Her future plans involve the development of ecological momentary interventions, where treatment strategies can be delivered via mobile devices during moments of acute distress.
Song Yang, PhD
Song Yang is a Full Professor of Sociology. His areas of specialization include social network analysis and studies of work and organizations. He has published more than 20 peer review journal articles and 4 books with the fifth one forthcoming.
Wen-Juo Lo, PhD
Wen-Juo Lo is an Associate Professor and Program co-coordinator in the Educational Statistics and Research Methodology (ESRM) program in the Department of Rehabilitation, Human Resources, and Communication Disorders at the University of Arkansas. Before coming to the U.S., he worked in a general hospital in Taiwan for 5 years and conducted inpatient and outpatient psychotherapy as well as psychological assessments. His research interests involve methodological issues related to latent factor modeling with a focus on psychometric methods in examining the validity and reliability of the psychological inventory. For grant-related works, Dr. Lo serves as a professional evaluator and co-PI on externally funded grants that sum over $20 million with various agencies. He serves as the quantitative methodologist at the center and provides statistical consulting as well as survey methodology advice on questionnaire design.
Khoa Luu, PhD
Dr. Khoa Luu is currently an Assistant Professor and the Director of the Computer Vision and Image Understanding (CVIU) Lab in the Department of Computer Science and Computer Engineering at the University of Arkansas, Fayetteville. He is also serving as an Associate Editor of the IEEE Access Journal. He was the Research Project Director at Cylab Biometrics Center at Carnegie Mellon University (CMU). He led to develop successful AI solutions, including AI-based Smart Insect Monitoring System, Age-invariant Face Recognition, Mutli-camera Multi-Object Tracking, Long-range Biometrics and Soft Biometrics Systems, Perception and Prediction solutions for robots.
His research interests focus on various topics, including Autonomous Driving, Quantum Machine Learning, Smart Health, Precision Agriculture, Biometric Privacy Protection Biometrics. He has received six patents and two best paper awards and coauthored 140+ papers in conferences, technical reports, and journals.
He is an Area Chair in CVPR 2023 and a Co-organizer and a chair of the CVPR Annual Precognition Workshop from 2019 – 2023; MICCAI Workshop in 2019, 2020 and ICCV Workshop in 2021. He is a PC member of AAAI’20, AAAI’21, AAAI’22 ICPRAI’20, ICPRAI’22 and a technical member of IJCAI-ECAI’22, ICPR’22. He is also a reviewer for numerous top-tier AI conferences and journals, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, FG, BTAS, IEEE-TPAMI, IEEE-TIP, Journal of Pattern Recognition, Journal of Image and Vision Computing, Journal of Signal Processing, Journal of Intelligence Review, IEEE Access Trans., etc. He was a vice-chair of the Montreal Chapter IEEE SMCS in Canada from September 2009 to March 2011.