Our faculty

headshot of Sarah S. Lam

Sarah S. Lam

Professor

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

Personal website

Education

  • MS, University of Delaware
  • PhD, University of Pittsburgh

Research Interests

  • Modeling and simulation
  • Business analytics
  • Neural networks
  • Evolutionary optimization
  • Decision support systems

Awards

  • Chancellor's Award for Excellence in Teaching, 2012