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Interdepartmental Committee on Operations Research




Chair: Guillermo Gallego, Ph.D.
326 S. W. Mudd
Tel: 212.854.2935
e-mail:ggallego@ieor.columbia.edu


Faculty

Awi Federgruen:
Charles E. Exley Professor of Management; Chair, Decision, Risk and Operations, D. Sc., Amsterdam, 1978
Interests: Planning models for logistical systems, supply chain management and operations strategies for service systems
Guillermo Gallego:
Professor, Ph.D., Cornell, 1988
Interests: Supply chain management, production planning and inventory control, revenue management, financial engineering, production scheduling
Paul Glasserman:
Jack R. Anderson Professor of Business, Senior Vice Dean, Ph.D., Harvard, 1988
Interests: Risk management, the pricing of derivative securities, Monte Carlo simulation, statistics and operations; stochastic systems, simulation, gradient estimation, variance reduction techniques, queueing.
Chris Heyde:
Professor, Ph.D., D.Sc., Australian National University, 1965
Interests: Stochastic modeling, randomness in systems, large sample behavior, system parameter estimations
Ioannis Karatzas:
Higgins Professor of Applied Probability, Ph.D., Columbia, 1980
Interests: Probability and random processes; stochastic analysis; optimization; mathematical economics and finance
Peter J. Kolesar:
Professor, Ph.D., Columbia, 1964
Interests: Quality management and statistical quality control; applications of operations research and statistics, particularly in relation to the management of production and service systems; operations strategy, implementation of quality management, queuing theory and its applications to service system management and other applications of OR/MS and statistics.
Karl Sigman:
Professor, Ph.D., California (Berkeley), 1986
Interests: Queueing theory and telecommunications, stability of stochastic models, rate conservation and palm measure theory and marked point processes.
David D. Yao:
Professor (IEOR), Ph.D., Toronto, 1983
Interests: Stochastic models, queues and queueing networks, focusing on the analysis, design and control of stochastic systems, such as manufacturing systems, supply chains, and communication networks




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