Dr. Liying Wang, an assistant professor of nursing at FSU and a clinical psychologist, advances mental health equity through translational, community-engaged research. Her work focuses on social determinants of health for marginalized groups (e.g., people with HIV, SGMs). She develops culturally grounded AI-driven digital interventions to reduce mental health disparities and foster resilience.
Dr. Guang Wang, an assistant professor of computer science at FSU, directs the Data, Computing, and Society (DCS) Lab. His research focuses on generative AI, spatiotemporal data mining, and human-centered AI for applications in mobility, energy, and healthcare. He has over 90 publications in top venues and is a recipient of the 2024 NAIRR Award.
William Olivera is an assistant professor of business analytics at FSU's College of Business. His research focuses on the effective adoption and use of information technologies within the healthcare sector. Specific interests include health IT adoption and its impact on hospitals and patient outcomes, remote patient monitoring, and the digital divide.
Dr. Miao's research focuses on developing methods to learn interpretable patterns and mechanisms for population and individual health improvement. His expertise spans clinical trial design, machine learning of neuroimaging and multimodal data, and big healthcare data analysis. Applications include cancer, neural disorders, infectious diseases, and digital health.
Dr. Meyer-Baese has an MS degree in electrical and computer engineering and a PhD in computational neuroscience from the Technical University of Darmstadt. She wrote three research monographs in medical imaging and over 300 peer-reviewed papers. Her research interests are in dynamical graph theory and generative AI applied to medical imaging.
Dr. Michael Killian is an associate professor of social work at FSU specializing in pediatric solid organ transplantation. His NIH-funded research uses digital health technologies to study medication adherence and psychosocial risk to improve child and family health outcomes post-transplant. He fosters interdisciplinary collaboration between social work and medicine.
Dr. Zhe is a full professor in the School of Information and Director of the Institute for Successful Longevity at FSU. As a biomedical informatician, his research intersects with biomedical/health informatics, computer science, and information science. He specializes in machine learning, NLP, and knowledge representation. He is an elected fellow of IAHSIand AMIA.
Dr. Gubanov is an assistant professor and a lead PI on a multi-year NSF ($550K) grant and a Casey DeSantis Cancer Innovation Fund ($1.2M) consortium grant with Moffitt Cancer Center to develop new AI for better cancer practices. He earned his PhD from the University of Washington and completed a postdoc at MIT CSAIL. His honors include the Amazon AI AWS Research Award, the Communications of the ACM (CACM) Award, the ACM SIGMOD Research Highlights Award, and the IEEE ICDE Best Paper Award.
Dr. Yushun Dong, an assistant professor of computer science at FSU, directs the Responsible AI (RAI) Lab. His research on trustworthy AI emphasizes security, integrity, and explainability, with applications in natural disaster prediction and healthcare. A lead PI on over $3 million in grants (NSF), his work is published in premier venues like NeurIPS and KDD.
Dr. De is the Dean of the FAMU-FSU College of Engineering. He researches the intersection of computational science, deep learning, VR, and neuroimaging. Supported by the NIH and DOD, his work develops AI-based methods for video assessment of technical skills and uses fNIRS/EEG to study brain activity. His goal is to create validated tools for surgical training and enhancing human performance in complex systems.
