Milos Hauskrecht

Address: Department of Computer Science 5329 Sennott Square University of Pittsburgh Pittsburgh, PA 15260 412-624-8845 (voice) 412-624-8854 (fax) e-mail: milos_at_cs.pitt.edu

Links

• Curriculum Vitae
• Research
  My primary field of research interest is AI. Within AI I am interested in probabilistic modeling, machine learning and data mining and their application in biomedical informatics. My current work focuses mainly on learning of models from complex time-series derived from Electronic Health Records (EHRs).
  Research statement and publications:
  • Research statement
  • Publications (by year) with links to pdfs
  Current research projects (with publications):
  • Outlier-based clinical alerting
  • Predictive Pattern mining and subgroup discovery
  • Time-series modeling and temporal features
  • Cost-effective annotation/labeling
  • Non-parametric graph-based methods
  • Other current projects (Include: Multilabel learning, Kernel learning, Gaussian Markov Random Fields, Explanations)
  Earlier research projects (with publications):
  • Planning under uncertainty / Markov Decision processes
  • Modeling, analysis and optimization of stochastic networks Noisy-or component analysis. Modeling and learning of transportation networks. Resource optimizations for transportation networks.
  • Machine learning methods for high-throughput bioinformatics data. Statistical methods for identification of hidden regulatory pathways from gene expression data. Algorithms for preprocessing and analysis of high-throughput MS proteomic and genomic data and for biomarker discovery. Methods for protein ID in whole sample proteomics using prior knowledge