Kontar, Al Raed
Faculty
Research Overview:
Dr. Al Kontar works on developing data science methods for solving engineering problems. He also enjoys occasional theoretical endeavors beyond application. His focus is on personalized and distributed data analytics, where knowledge from diverse data sources is effectively integrated. This approach allows sources to retain personalized models tailored to their unique features, distribute or decentralize model inference, and protect personal data when needed.
Research Keywords: Data science, Personalization, Collaboration, Heterogeneity, Federated Learning, Uncertainty Quantification, Black-box optimization, Digital Twins
Bio: Dr. Raed Al Kontar is an assistant professor in the Industrial & Operations Engineering department. He is also an affiliate with both the Michigan Institutes for Data Science and Computational Discovery and Engineering. Dr. Al Kontar leads the “Data Science Lab,” which focuses on data science using probabilistic models, with an emphasis on precision/personalized data science where knowledge from diverse data sources is effectively integrated. Dr. Al Kontar's research has been highly recognized, with his group winning 12 best paper awards since 2022 across the Institute for Operations Research and the Management Sciences (INFORMS), the American Statistical Association (ASA), and the Institute of Industrial and Systems Engineers (IISE). His research is currently supported by the National Science Foundation (NSF), including a 2022 CAREER award, the National Institutes of Health (NIH), the National Library of Medicine (NLM), and various industry collaborators.