Mylene Farias
Dr. Farias is an Associate Professor in the Department of Computer Science at Texas State University. Her research interests are in the area of image processing, computer vision, quality of experience, and perception. Most of her research focuses on developing objective and subjective quality models for multimedia content and integrating human perception into computer vision algorithms. […]
Gongbo Liang
Dr. Liang has focused on computer vision and deep neural network research since 2014. He is excited about modern deep neural networks to solve previously unsolvable domain-specific challenges while tackling the fundamental issues of deep neural networks. He has projects in several domains, including medical imaging, astrophysics and astronomy, and natural language processing. He is […]
Christian Poellabauer
Dr. Poellabauer is a Professor in Computer Science at Florida International University, which he joined in 2021 (after receiving his Ph.D. from the Georgia Institute of Technology in 2004 and serving 17 years on the faculty of the University of Notre Dame). At Notre Dame, he also served as Associate Director of the Lucy Family […]
Michael Beyeler
Dr. Beyeler leads the Bionic Vision Lab at UC Santa Barbara, an interdisciplinary research group interested in the computational modeling of human, animal, computer, and prosthetic vision to elucidate the science behind bionic technologies that may one day restore useful vision to people living with incurable blindness. His group combines expertise in computer science/engineering, neuroscience, […]
James Geller
Between 2006 and 2012 Dr. Geller was Co-Principal Investigator on several federal grants from NIH, on auditing methods, abstraction algorithms and software tools for important medical terminology systems such as the Unified Medical Language System (UMLS) and the Systematized Nomenclature of Medicine – Clinical Terms (SNOMED CT). From 2014 to 2019 he was co-PI on […]
Serdar Bozdag
Dr. Bozdag’s research interests in the bioinformatics and computational biology, particularly in gene regulatory network inference and precision medicine. His group have been developing machine learning and graph representation learning methods to integrate and analyze multimodal biomedical datasets for project such as inferring cancer-related gene regulatory modules, predicting subtypes of cancer patients, and early prediction […]
Yuyin Zhou
Dr. Yuyin Zhou is an Assistant Professor of Computer Science and Engineering at University of California, Santa Cruz, with research interests spanning across medical image computing, computer vision, and machine learning. Her research is centered on building transparent and trustworthy medical AI systems that can function efficiently and effectively in complex clinical environments.
Wei Zhang
Dr. Wei Zhang is an Assistant Professor in the Department of Computer Science and Genomics and Bioinformatics Cluster at the University of Central Florida. His research interests include computational biology, machine learning, and biomedical informatics. His research has centered on investigating the role of transcriptome variants in diseases, spanning from technique-driven research (e.g., algorithm development […]
Enrico Pontelli
Enrico Pontelli received his Laurea with Honors in Computer Science from the University of Udine (Italy) in 1991, a Master of Science in Computer Science from the University of Houston (1992) and a Ph.D. in Computer Science from New Mexico State University (1997). He joined the faculty ranks at NMSU in 1997 as a tenure-track […]
