Sarah S. Lam
Professor, Industrial and Systems Engineering Graduate Director
Systems Science and Industrial Engineering
Background
System modeling, analysis, and optimization using computational intelligence (neural networks, meta-heuristics, and fuzzy logic), stochastic simulation, and techniques from probability and statistics (design of experiments, regression, analysis of variance, principal components analysis etc.).
Areas of interests include: modeling and simulation, business analytics, medical informatics, decision support systems, health systems, information system design, and engineering system design.
Assistant Director for Systems Analysis and Modeling, Watson Institute for Systems Excellence
Education
- MS, University of Delaware
- PhD, University of Pittsburgh
Research Interests
- Neural networks
- Evolutionary optimization
- Machine learning
- Simulation
- System modeling and optimization
Awards
- Chancellor's Award for Excellence in Teaching, 2012
