معرفی
Dr. Milos Hauskrecht is a Professor of Computer Science at the University of Pittsburgh's School of Computing and Information. He holds a PhD from MIT (1997) and an M.Sc. from Slovak Technical University (1988). His primary research focuses on Artificial Intelligence, Machine Learning, and their applications in healthcare, finance, and biomedical informatics. He leads interdisciplinary projects in clinical monitoring, anomaly detection, and predictive modeling of electronic health records (EHRs).
- Education: PhD in Electrical Engineering and Computer Science (MIT, 1997), M.Sc. in Electrical Engineering (Slovak Technical University, 1988)
- Affiliations: Department of Computer Science, University of Pittsburgh; School of Computing and Information
His research integrates AI with probability theory, statistics, and operations research. Key areas include planning under uncertainty, machine learning for time-series data, and AI-driven solutions for clinical decision support. Current projects involve real-time patient monitoring, hierarchical models for EHR analysis, and control of biological processes. He has advised over 20 PhD students and holds grants from NIH, DARPA, and other agencies.
Notable contributions include outlier detection in clinical actions, temporal predictive patterns, and state-space models for healthcare data. His work emphasizes translating AI advancements into practical clinical tools for improved patient care.
