Halil Bisgin

Biography

Dr. Halil Bisgin is an assistant professor of Computer Science at the University of Michigan-Flint (UMF). Dr. Bisgin received his Ph.D. in Integrated Computing-Computer Science from the University of Arkansas at Little Rock (UALR) where he also taught and served as a graduate committee member. Before joining UM-Flint, Dr. Bisgin was actively involved in FDA-funded projects at the National Center for Toxicological Research (NCTR) where he took part in data mining projects such as topic extraction on tobacco documents and patient narratives in the FDA repository. His work there has been recognized with FDA Group Recognition Award. His dissertation on drug repositioning was nominated as the best doctoral thesis in the College of Engineering and Information Technology (EIT) and his study on Long QT Syndrome won the best paper award in the same college. Having a B.S. in Mathematics from Koc University in Turkey, Dr. Bisgin also holds master’s degrees in Applied Computing from UALR and Computational Science and Engineering from Istanbul Technical University. His exposure to interdisciplinary research encouraged him to train himself in various fields, and therefore, his research expertise and work cover the fields of Bioinformatics, Data Mining, Information Retrieval, and Social Network Analysis for which he published several papers in eminent journals and proceedings. Dr. Bisgin has also a book chapter on homophily on online social media. Dr. Bisgin serves as a committee member for social computing conferences such as FOSINT and SBP-BRIMS and a reviewer for several journals such as Plos One, Information Sciences, and Social Network and Mining. He is also a member of Sigma Xi Scientific Research Society. Dr. Bisgin has been a strong supporter of STEM education. He became involved in STEM education in various roles such as a board member of a STEM-focused school, and a judge and a mentor in science fairs.

Research Interest

Data Mining & Machine Learning, Social Computing, Biomedical Informatics & Bioinformatics, Parallel Computing