Dr. Abdulrahman Takiddin is an assistant professor of electrical and computer engineering at the FAMU-FSU College of Engineering. His research interests focus on machine learning and its applications to cyber-physical systems, including the smart grid and smart transportation. He is a prolific author with over 40 publications and more than 880 citations.
Dr. Shanbhag works at the interface of soft matter and numerical algorithms. Over the past couple of years, he has started to apply machine learning methods to suitable problems in the area.
Dr. Aidan Milliff is an assistant professor of political science at FSU. His research combines computational social science, machine learning, and causal inference with qualitative methods to study how people interpret and respond to political violence. His work focuses on South Asia, forced migration, and political psychology.
Shibo Li’s primary research area is AI for science, which integrates traditional computational physics with modern machine learning to analyze physical systems. This complementary approach uses physical insights to improve data-driven methods' efficacy and offers a flexible, efficient computing infrastructure for augmenting traditional research with statistical insights derived from abundant data.
Rittwika Kansabanik, a statistics researcher at FSU, develops scalable machine learning methods for high-dimensional data. Her work focuses on feature selection for latent factor models, enabling class-incremental feature selection and guaranteed feature recovery. This research provides more efficient and trustworthy AI systems for large-scale data.
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.
