Mihail Barbosu

Mihail Barbosu is a Professor in the School of Mathematics and Statistics at the College of Science, Rochester Institute of Technology (RIT). He holds multiple roles including Director of the Data and Predictive Analytics Center (DPAC) and Associate Head for Statistics. His academic background includes a BS and Ph.D. from Babeș-Bolyai University (Romania) and an MS and Ph.D. from Paris VI University (France).

His research focuses on Dynamical Systems, Space Dynamics, Data and Predictive Analytics, and Mathematical Modeling. Notable projects include applying data science to monitor machine health and predict failures, and analyzing telemetry data from RIT’s Space Exploration (SPEX) High-Altitude Balloon program. He currently teaches courses such as Mathematical Methods for Artificial Intelligence and Probability and Statistics.

As DPAC Director, he advocates for RIT’s leadership in Data and Predictive Analytics, fostering cross-disciplinary research and partnerships. His work integrates statistical machine learning, optimization theory, and real-time data visualization to address complex problems in engineering, sustainability, and space exploration.