Ph.D., 1971, John Hopkins University (1971)
Donald W. Hearn is a Professor Emeritus in the department of Industrial and Systems Engineering at the University of Florida. He received an undergraduate degree in physics at the University of North Carolina as a Morehead Scholar and received Masters and Ph. D. degrees from Johns Hopkins University in management science and operations research. He has been a software consultant for the federal agencies USDA (environmental impacts of pesticides), HUD (new community development), FAA (aviation system maintenance) and DOT (urban transportation network models and algorithms). His teaching includes decision modeling and methods, nonlinear optimization and large-scale optimization. In addition to the University of Florida, he has taught at M.I.T. and has given short courses at the University of Rome and the Royal Institute of Technology in Stockholm. His research interests include applied optimization and transportation science. Recent work has concerned the development of efficient algorithms for models that arise in production planning, urban traffic assignment, urban water management and sports management. He is founding editor of OPTIMA, the newsletter of the Mathematical Programming Society, former associate editor of the journals Computational Optimization and Applications and Operations Research. He is author/co-author of over over 67 refereed articles, co-editor of the books Large-Scale Optimization: State of the Art, Network Optimization and Mathematical and Computational Methods for Congestion Charging, and past co-editor of the Kluwer book series Applied Optimization. From 1997 to 2007 he was Department Chair of Industrial and Systems Engineering. In 2004 he was elected a Fellow of The Institute of Operations Research and Management Science. From 2007 to 2012 he was program manager for Optimization and Discrete Mathematics at the Air Force Office of Scientific Research (AFOSR). Since 2015 he has been a co-program manager and consultant for Service, Manufacturing and Operations Research at the National Science Foundation.