Jon’s research focus is on nonlinear discrete optimization (NDO). Many practical engineering problems have physical aspects which are naturally modeled through smooth nonlinear functions, as well as design aspects which are often modeled with discrete variables. Research in NDO seeks to marry diverse techniques from classical areas of optimization, for example methods for smooth nonlinear optimization and methods for integer linear programming, with the idea of successfully attacking natural NDO models for practical engineering problems. On particular area of applied interest is environmental monitoring and the framework of maximum-entropy sampling.
Mark S. Daskin, PhD, holds the Clyde W. Johnson Collegiate Professorship in the Department of Industrial and Operations Engineering of the College of Engineering at the University of Michigan, Ann Arbor. He is a past-president of INFORMS, the Institute for Operations Research and the Management Sciences. He is also the former chair of the IE/MS Department as well as a past editor-in-chief of IIE Transactions, the flagship journal of IIE, the Institute of Industrial Engineers. He is a past vice president of publications of INFORMS. Finally, he has served on a number of editorial boards and is a former editor-in-chief of Transportation Science.
Prof. Daskin’s research focuses on supply chain network design in general and facility location models in particular. He is currently studying reliability in supply chain design as well as sustainability issues associated with supply chains. He is also studying problems in health care operations research with a current focus on transplantation problems and the assignment of residents and interns to patients. He has taught courses on: probability, statistics, operations research, supply chain reliability, location modeling, health care operations research, service operations management, and heuristic algorithms. Currently, Prof. Daskin is teaching a course on service operations management for upper level undergraduates and MS students.
My research interests are in data-driven sequential decision making and optimization under uncertainty with applications to medicine. I have a cross-appointment in the School of Medicine and I am a member of the Cancer Center and the Institute for Healthcare Policy and Innovation (IHPI) at University of Michigan. My current research projects are investigating new ways to use longitudinal data to improve decisions related to the using of biomarkers, imaging, and medication for early detection of cancer and prevention of cardiovascular disease.
Amy Cohn, PhD, is a Thurnau Professor in the Department of Industrial and Operations Engineering at the University of Michigan College of Engineering and Director of the Center for Healthcare Engineering and Patient Safety. Her primary research interest is in robust and integrated planning for large-scale systems, predominantly in healthcare and aviation applications. Her primary teaching interest is in optimization techniques, at both the graduate and undergraduate level.