Contributors

Abstract

Dionne M. Aleman (“ An Interior Point Constraint Generation Algorithm for Semi-Infinite Optimization with Health-Care Application ”) is an assistant professor in the Department of Mechanical and Industrial Engineering at the University of Toronto. She received her Ph.D. in industrial and systems engineering from the University of Florida in Gainesville. Her research interests are medical applications of operations research, specifically radiotherapy treatment optimization and pandemic outbreak planning. She directs the Medical Operations Research Lab (morLAB) at the University of Toronto and is president of the INFORMS Junior Faculty Group and secretary/treasurer of the INFORMS Section on Public Programs and Service Needs; she previously served as Chair of the INFORMS Health Applications Section. Gad Allon (“ The Impact of Delaying the Delay Announcements ”) is an associate professor of managerial economics and decision science at the Kellogg School of Management at Northwestern University. Recently he has been studying models of information sharing among firms and customers in service and retail settings. He is also conducting empirical studies to investigate time-based competition in the fast-food industry as well as the factors contributing to emergency department overcrowding. Steve Alpern (“ Patrolling Games ” and “ Find-and-Fetch Search on a Tree ”) is a professor of mathematics at the London School of Economics. He became interested in the field of search games when studying game theory under Oskar Morgenstern, as an undergraduate at Princeton University, and later with Rufus Isaacs. After working on antagonistic versions of these games, he has more recently become interested in versions where the two searchers have the common aim of finding each other as soon as possible (rendezvous). In addition to search games, his current research interests include decentralized matching, and mathematical models in animal behavior. Roberto Baldacci (“ New Route Relaxation and Pricing Strategies for the Vehicle Routing Problem ” and “ An Exact Method for the Capacitated Location-Routing Problem ”) is a researcher in operations research at the Department of Electronics, Computer Science and Systems (DEIS) of the University of Bologna, Italy. His major research interests are in the area of transportation planning, logistics and distribution, and the solution to vehicle routing and scheduling problems over street networks. His research activities are in the theory and applications of mathematical programming. He has worked in the design of new heuristic and exact methods for solving combinatorial problems as routing and location problems. Achal Bassamboo (“ The Impact of Delaying the Delay Announcements ”) is an associate professor of managerial economics and decision science at the Kellogg School of Management at Northwestern University. His research interests lie in the areas of service systems, revenue management, and information sharing. His current research involves designing flexible service systems with a focus on capacity planning and effects of parameter uncertainty. He is also studying credibility of information provided by a service provider or a retailer to its customers. Mark Broadie (“ General Bounds and Finite-Time Improvement for the Kiefer-Wolfowitz Stochastic Approximation Algorithm ”) is the Carson Family Professor of Business in the Graduate School of Business, Columbia University. His research focuses on issues in financial engineering, with a particular focus on the design and analysis of efficient Monte Carlo methods for pricing and risk management. Rodolfo A. Catena (“ Rating Customers According to Their Promptness to Adopt New Products ”) is a health-care researcher for the SPHERE Institute. In 2009, he graduated from the University of California, Berkeley, in industrial engineering and operations research. Previously he completed a thesis on the issue of train timetabling in conjunction with the Operations Research Group at the University of Bologna. His research interests include stochastic programming, network optimization, and combinatorial optimization applied to marketing, finance, production, and health-care problems. Xin Chen (“ Integration of Inventory and Pricing Decisions with Costly Price Adjustments ”) is an associate professor at the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana–Champaign. His research interests include supply chain management, inventory management, and optimization. He is a coauthor of the book The Logic of Logistics (Springer 2005). Youhua (Frank) Chen (“ Integration of Inventory and Pricing Decisions with Costly Price Adjustments ” and “ A Computational Approach for Optimal Joint Inventory-Pricing Control in an Infinite-Horizon Periodic-Review System ”) is an associate professor at the Department of Systems Engineering and Engineering Management, the Chinese University of Hong Kong. His current research is focused on interfaces between operations and marketing, and inventory models with risk considerations. Mabel C. Chou (“ Process Flexibility Revisited: The Graph Expander and Its Applications ”) is an associate professor in the Department of Decision Sciences, NUS Business School, National University of Singapore. Her research interests include production scheduling, logistic and supply chain analysis, and flexibility design and analysis. Geoffrey A. Chua (“ Process Flexibility Revisited: The Graph Expander and Its Applications ”) is an assistant professor in the Division of Information Technology and Operations Management at Nanyang Business School, Nanyang Technological University, Singapore. His research interests include the analysis and design of process flexibility and robust systems, decision making under uncertainty, and supply chain management. Deniz Cicek (“ General Bounds and Finite-Time Improvement for the Kiefer-Wolfowitz Stochastic Approximation Algorithm ”) is a Ph.D. candidate in the Decision, Risk and Operations division of Columbia Business School. His research interests are simulation optimization and its applications. Youyi Feng (“ A Computational Approach for Optimal Joint Inventory-Pricing Control in an Infinite-Horizon Periodic-Review System ”) is a professor of supply chain management at MIT-Zaragoza International Logistics Program, Zaragoza Logistics Center. His current research interests include revenue management, energy trading and value chain management, and carbon emission control and trading strategies. This note is part of several related publications dealing with dynamic pricing problems where inventories can be replenished. Antonio Frangioni (“ Projected Perspective Reformulations with Applications in Design Problems ”) graduated with honors in computer science from the University of Pisa, Italy, in 1992 and earned his Ph.D. in computer science from the same university in 1996. He had been a research associate at the Computer Science Department of the University of Pisa from 1996 to 2004, where he is now an associate professor. His main research interests are in models and algorithms for large-scale continuous and combinatorial optimization problems, using such techniques as decomposition algorithms, interior-point methods, reformulation techniques, and network flow approaches. Claudio Gentile (“ Projected Perspective Reformulations with Applications in Design Problems ”) graduated with honors in computer science from the University of Pisa in 1995 and received the Diploma of the Scuola Normale Superiore of Pisa. In 2000 he finished his Ph.D. studies in operations research at University “La Sapienza” of Rome. Since 1999 he has been a researcher at the Institute of System Analysis and Computer Science “Antonio Ruberti” of the Italian National Research Council (IASI-CNR). His main research interests are in combinatorial optimization, polyhedral theory for linear and nonlinear integer programming problems, interior point methods, and network flow problems. Hamid R. Ghaffari (“ An Interior Point Constraint Generation Algorithm for Semi-Infinite Optimization with Health-Care Application ”) is a Ph.D. candidate in the Department of Mechanical and Industrial Engineering at the University of Toronto. His research interests are medical applications of operations research, specifically radiotherapy treatment optimization. K. Giesecke (“ Exact Simulation of Point Processes with Stochastic Intensities ”) is assistant professor of management science and engineering at Stanford University. His research and teaching interests are in applied probability, Monte Carlo simulation, and financial engineering. Enrico Grande (“ Projected Perspective Reformulations with Applications in Design Problems ”) graduated cum laude in industrial engineering from the University of Rome “Tor Vergata” in 2005. In 2010 he finished his Ph.D. in operations research at University “La Sapienza” of Rome. His main research interests are in mixed integer nonlinear programming and in flows over time problems. Robert G. Haight (“ Dynamic Reserve Selection: Optimal Land Retention with Land-Price Feedbacks ”) is a research forester with the U.S. Forest Service Northern Research Station in St. Paul, Minnesota. He studies the economics of public programs for wildlife protection, metropolitan open space protection, wildfire management, and invasive species management. Dorit S. Hochbaum (“ Rating Customers According to Their Promptness to Adopt New Products ”) is a full professor and Chancellor Chair at the University of California at Berkeley, Department of Industrial Engineering and Operations Research. Her research interests are in the areas of approximation algorithms and design and analysis of computer algorithms and discrete and continuous optimization. Her recent work focuses on efficient techniques for network flow-related problems, ranking, data mining, and image segmentation problems. She is the author of over 140 papers that have appeared in the operations research, management science, and theoretical computer science literature. She was named an honorary Doctorate of Sciences of the University of Copenhagen in 2004 for her work on approximation algorithms. She was named an INFORMS fellow in 2005. Rouba Ibrahim (“ Wait-Time Predictors for Customer Service Systems with Time-Varying Demand and Capacity ”) is a postdoctoral fellow at the University of Montreal. She received her doctorate degree from the Industrial Engineering and Operations Research Department of Columbia University in 2010. Her research interests lie in stochastic modeling, call centers, simulation, queuing science, and health-care operations. Ramesh Johari (“ Parameterized Supply Function Bidding: Equilibrium and Efficiency ”) is an assistant professor at Stanford University, with a full-time appointment in the Department of Management Science and Engineering (MS&E), and courtesy appointments in the Departments of Computer Science (CS) and Electrical Engineering (EE). He is a member of the Operations Research group in MS&E, and the Information Systems Laboratory in EE. He received an A.B. in mathematics from Harvard University (1998), a Certificate of Advanced Study in mathematics from the University of Cambridge (1999), and a Ph.D. in electrical engineering and computer science from MIT (2004). He is the recipient of a British Marshall Scholarship (1998), First Place in the INFORMS George E. Nicholson Student Paper Competition (2003), the George M. Sprowls Award for the best doctoral thesis in computer science at MIT (2004), Honorable Mention for the ACM Doctoral Dissertation Award (2004), the Okawa Foundation Research Grant (2005), the MS&E Graduate Teaching Award (2005, 2010), the INFORMS Telecommunications Section Doctoral Dissertation Award (2006), and the NSF CAREER Award (2007). He has served on the program committees of ACM Electronic Commerce (2007, 2009-2011), ACM SIGCOMM (2006, 2011), IEEE Infocom (2007-2011), and ACM SIGMETRICS (2008-2009). H. Kakavand (“ Exact Simulation of Point Processes with Stochastic Intensities ”) is a quantitative analyst with the Perot Group. He completed a Ph.D. in electrical engineering at Stanford University in 2007. He then was a postdoctoral researcher in the Department of Management Science and Engineering until 2009. The research leading to the paper was completed while he was a postdoctoral researcher. Ger Koole (“ A Note on Profit Maximization and Monotonicity for Inbound Call Centers ”) is full professor at the VU University Amsterdam. He graduated from Leiden University with a thesis on the control of queuing systems. Since then he has held post-doctoral positions at CWI Amsterdam and INRIA Sophia Antipolis. His current research is centered around service operations, especially call centers, health care and, more recently, revenue management. H. Dharma Kwon (“ Acquisition of Project-Specific Assets with Bayesian Updating ”) is an assistant professor of business administration in the College of Business at the University of Illinois at Urbana–Champaign. His research interests include stochastic models of decisions under uncertainty and their applications to decision analysis, economics, operations and technology management, and business strategy. His stochastic models often involve continuous time formulation with diffusions. Steven A. Lippman (“ Acquisition of Project-Specific Assets with Bayesian Updating ”) is the George Robbins Professor of Management at the UCLA Anderson School. He has published over 70 research articles covering traditional management science topics such as dynamic programming, inventory theory, queueing optimization, game theory, optimal stopping, and decision theory as well as various topics in microeconomics. He is best known for his work in the economics of search and his 1982 article in the Bell Journal of Economics on uncertain imitability, which gave rise to the resource-based view of the firm in strategy. Aristide Mingozzi (“ New Route Relaxation and Pricing Strategies for the Vehicle Routing Problem ” and “ An Exact Method for the Capacitated Location-Routing Problem ”) is a professor of operations research at the Department of Mathematics of the University of Bologna, Italy. His main interests include mathematical programming, combinatorial optimization, graph theory, dynamic programming, and the development of exact and heuristic algorithms for the solution of real-life problems in distribution and scheduling. Erick Moreno-Centeno (“ Rating Customers According to Their Promptness to Adopt New Products ”) is an assistant professor at the Department of Industrial and Systems Engineering at Texas A&M University. He received Ph.D. (2010) and M.S. (2006) degrees in industrial engineering and operations research and an M.S. (2010) degree in computer science from the University of California, Berkeley. He received his B.S. (2002) degree in industrial physics engineering from ITESM (Mexico). His research interests are in the general area of mathematical programming, particularly in the design and analysis of combinatorial optimization models and algorithms. His current work is on developing the implicit hitting set approach to solve hard combinatorial optimization problems, developing new ways to aggregate rankings, and using network flow techniques for data mining. Alec Morton (“ Patrolling Games ”) is a lecturer in operational research at the London School of Economics. His interests include decision analysis, multiobjective optimization, health economics, and games of search and ambush. The current paper developed out of a problem described to him by Detlof von Winterfeldt, at the time director of CREATE (the Center for Risk and Economic Analysis of Terrorism Events) at the University of Southern California. M. Mousavi (“ Exact Simulation of Point Processes with Stochastic Intensities ”) is a Ph.D. candidate in the Department of Management Science and Engineering at Stanford University. His research interests are in applied probability and financial engineering. Mohammad R. Oskoorouchi (“ An Interior Point Constraint Generation Algorithm for Semi-Infinite Optimization with Health-Care Application ”) is an associate professor in the Department of Information Systems and Operations Management at the College of Business Administration at California State University San Marcos. He received his Ph.D. in management science from McGill University in Montreal. His research interests are large-scale conic optimization, in particular cutting plane and column generation methods for semidefinite and second-order cone optimization. Osman Y. Özaltın (“ Optimizing the Societal Benefits of the Annual Influenza Vaccine: A Stochastic Programming Approach ”) is a Ph.D. candidate of industrial engineering at the University of Pittsburgh. He received his B.S. in industrial engineering from Bogazici University in Turkey. His research interests include theoretical, computational, and applied aspects of operations research, particularly problems arising in health care and service systems. His work applies and often extends methods in linear and nonlinear integer programming, stochastic programming, and bilevel programming. His dissertation addresses the optimal composition of the annual influenza vaccine along with the timing of its manufacturing. Andrea Pacifici (“ Projected Perspective Reformulations with Applications in Design Problems ”) is an assistant professor in operations research at the Engineering Faculty of Università di Roma “Tor Vergata.” He received a degree in information engineering and a Ph.D. in operations research, both at Università di Roma “La Sapienza.” His research is mainly concerned with algorithms design and computational complexity characterization for combinatorial optimization problems with applications to scheduling, logistics, manufacturing, telecommunication, and multiagent systems. Katerina Papadaki (“ Patrolling Games ”) is a lecturer in operational research at the London School of Economics. Her research interests include network optimization for transportation and wireless telecommunication networks, financial portfolio optimization, cooperative games for cost allocation in networks, and search games. Ohad Perry (“ A Fluid Approximation for Service Systems Responding to Unexpected Overloads ”) is a postdoctoral fellow at CWI in Amsterdam, the Netherlands. He obtained his Ph.D. degree from Columbia University. His paper with Ward Whitt is part of his doctoral dissertation. Auke Pot (“ A Note on Profit Maximization and Monotonicity for Inbound Call Centers ”) received his Ph.D. from the VU University Amsterdam with a thesis on call routing in contact centers. Since then he has worked as a consultant and software developer at CCmath, a company specializing in call center workforce management, and as a developer at Adtrackxys, a company specializing in online advertisement revenue optimization. Oleg A. Prokopyev (“ Optimizing the Societal Benefits of the Annual Influenza Vaccine: A Stochastic Programming Approach ”) is an assistant professor of industrial engineering at the University of Pittsburgh. He received his B.S. and M.S. in applied mathematics and physics from Moscow Institute of Physics and Technology and his M.S. and Ph.D. in industrial and systems engineering from the University of Florida. His primary research interests are in the areas of combinatorial optimization, stochastic programming, integer programming, and applications in health care and bioinformatics. Roberto Roberti (“ New Route Relaxation and Pricing Strategies for the Vehicle Routing Problem ”) is a Ph.D. student at the University of Bologna. His research concerns the study and development of heuristic and exact algorithms for solving combinatorial optimization problems with applications in logistics and distribution systems. Mark S. Roberts (“ Optimizing the Societal Benefits of the Annual Influenza Vaccine: A Stochastic Programming Approach ”) is a professor and Chair of the Health Policy and Management Department at the University of Pittsburgh. He holds secondary appointments in medicine, industrial engineering, and clinical and translational science. With an expertise in cost effectiveness analysis, mathematical optimization, and simulation, he conducts research in decision analysis and the mathematical modeling of the evolution of diseases to examine policy questions particularly in liver transplantation and allocation, vaccination strategies, and operative interventions. Luke W. Rogers (“ Dynamic Reserve Selection: Optimal Land Retention with Land-Price Feedbacks ”) is a research scientist and forest engineer in the School of Forest Resources at the College of the Environment, University of Washington. His interests include quantifying forest land conversion, modeling the economics of forest policy, and developing decision support tools for forest land managers and regulators. This paper arises from his work in assembling a spatial land parcel database for Washington State and his interest in forest land retention. Andrew J. Schaefer (“ Optimizing the Societal Benefits of the Annual Influenza Vaccine: A Stochastic Programming Approach ”) is an associate professor of industrial engineering at the University of Pittsburgh. He holds secondary appointments in medicine, bioengineering, and clinical and translational science. He received his Ph.D. in industrial and systems engineering from Georgia Institute of Technology. His research interests include theoretical, computational, and applied stochastic optimization. He is particularly interested in health-care applications, including liver transplantation, HIV treatment, sepsis, and diabetes. Chung-Piaw Teo (“ Process Flexibility Revisited: The Graph Expander and Its Applications ”) is a professor in the Department of Decision Sciences, NUS Business School, National University of Singapore. His research interests include combinatorial optimization, discrete choice, optimization under uncertainty, social choice, and supply chain management. Tamás Terlaky (“ An Interior Point Constraint Generation Algorithm for Semi-Infinite Optimization with Health-Care Application ”) is the George N. and Soteria Kledaras '87 Endowed Chair Professor, and Department Chair Industrial and Systems Engineering at Lehigh University. Prior to his current appointment at Lehigh University, he taught at Eötvös University, Budapest, Hungary; Delft University of Technology; and McMaster University. At McMaster he also served as the founding director of the School of Computational Engineering and Science. He has published four books, edited over 10 books and journal special issues, and published over 160 research papers. His research interests include high-performance optimization methods, optimization models, algorithms and software, and solving optimization problems in engineering sciences. He is founding editor-in-chief of the journal Optimization and Engineering. He is an associate editor of seven journals and has served as conference chair, conference organizer, and distinguished invited speaker at conferences worldwide. He is chair of the Continuous Optimization Steering Committee of the Mathematical Programming Society, and Fellow of the Fields Institute, Canada. He received the MITACS Mentorship Award for his distinguished graduate student supervisory record. Sándor F. Tóth (“ Dynamic Reserve Selection: Optimal Land Retention with Land-Price Feedbacks ”) is an assistant professor of natural resource informatics at the School of Forest Resources, University of Washington. He works on spatial optimization problems that pertain to the natural resources area including spatial reserve design and forest harvest scheduling problems. He uses operations research tools such as multiobjective optimization and auction theory to develop a market for forest ecosystem services. John N. Tsitsiklis (“ Parameterized Supply Function Bidding: Equilibrium and Efficiency ”) received the B.S. degree in mathematics (1980), and B.S. (1980), M.S. (1981), and Ph.D. (1984) degrees in electrical engineering, all from the Massachusetts Institute of Technology (MIT). During the academic year 1983–1984, he was an acting assistant professor of electrical engineering at Stanford University. Since 1984 he has been with the Department of Electrical Engineering and Computer Science at MIT, where he is a Clarence J. Lebel Professor of Electrical Engineering. He has served as acting codirector of the Laboratory for Information and Decision Systems (spring 1996 and 1997), and as a codirector of the Operations Research Center (2002–2005). He has also served in the National Council on Research and Technology in Greece (2005–2007). He is a coauthor of Parallel and Distributed Computation: Numerical Methods (1989, with D. Bertsekas), Neuro-Dynamic Programming (1996, with D. Bertsekas), Introduction to Linear Optimization (1997, with D. Bertsimas), and Introduction to Probability (2002, with D. Bertsekas). He has been a recipient of an IBM Faculty Development Award (1983), an NSF Presidential Young Investigator Award (1986), an Outstanding Paper Award by the IEEE Control Systems Society (1986), the MIT Edgerton Faculty Achievement Award (1989), the Bodossaki Foundation Prize (1995), and the INFORMS Computer Science Technical Section prize (1997). He is a Fellow of the IEEE (1999) and INFORMS (2007). In 2007, he was elected to the National Academy of Engineering. In 2008, he was conferred the title of Doctor Honoris Causa, from the Universite Catholique de Louvain (Belgium). Ward Whitt (“ Wait-Time Predictors for Customer Service Systems with Time-Varying Demand and Capacity ” and “ A Fluid Approximation for Service Systems Responding to Unexpected Overloads ”) is a professor in the Department of Industrial Engineering and Operations Research at Columbia University. He joined the faculty there in 2002 after spending 25 years in research at AT&T. He received his Ph.D. from Cornell University in 1969. His recent research has focused on stochastic models of customer contact centers, using both queueing theory and simulation. Roberto Wolfler Calvo (“ An Exact Method for the Capacitated Location-Routing Problem ”) is a professor of operations research at the Computer Science Laboratory of Paris-Nord University. His main research interests include combinatorial optimization, mathematical programming, reformulation and decomposition methods, reoptimization, and environmental decision support systems. He is interested in academic research as well as industrial applications. Phillip Yelland (“ Rating Customers According to Their Promptness to Adopt New Products ”) is a decision support engineering analyst at Google, Inc. He has worked in a wide variety of settings, from formal methods research to software development management. His activities have reflected a preoccupation with the application of mathematical and statistical techniques to the practical conduct of business. He has an M.A. and Ph.D. in computer science from the University of Cambridge and an M.B.A. from the University of California, Berkeley. Assaf Zeevi (“ General Bounds and Finite-Time Improvement for the Kiefer-Wolfowitz Stochastic Approximation Algorithm ”) is the Kravis Professor of Business in the Graduate School of Business, Columbia University. His main research focuses on stochastic models of service systems, revenue management, simulation, statistics, and applied probability. Huan Zheng (“ Process Flexibility Revisited: The Graph Expander and Its Applications ”) is an assistant professor in the Management Science Department, Antai College of Economics and Management, Shanghai Jiao Tong University, China. Her research interests include flexibility design and analysis, distribution network design, and supply chain management. The research for this paper was done while she was pursuing her Ph.D. at the NUS Business School, National University of Singapore. Sean X. Zhou (“ Integration of Inventory and Pricing Decisions with Costly Price Adjustments ”) is an assistant professor at the Department of Systems Engineering and Engineering Management, the Chinese University of Hong Kong. He received his Ph.D. in operations research from North Carolina State University in 2006. He is particularly interested in the areas of production and inventory management, dynamic pricing, and game theoretic applications in supply chain management.