About the Authors

In: Decision analysis: a journal of the Institute for Operations Research and the Management Sciences, INFORMS, Band 8, Heft 3, S. 247-249

Abstract

Ali E. Abbas (" The Multiattribute Utility Tree ") received his M.S. in electrical engineering, M.S. in engineering economic systems and operations research, Ph.D. in management science and engineering, and Ph.D. (minor) in electrical engineering, all from Stanford University. He is an associate professor in the Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana–Champaign. His research interests include utility theory, decision making with incomplete information and preferences, dynamic programming, and information theory. He previously worked with Schlumberger Oilfield Services, where he held several international positions in wireline logging, operations management, and international training. He was also a lecturer in the Department of Management Science and Engineering at Stanford, and he was involved with several consulting projects for mergers and acquisitions in California. Dr. Abbas is a member of INFORMS, a senior member of the IEEE, and an associate editor for Decision Analysis and Operations Research. Address: Department of Industrial and Enterprise Systems Engineering, College of Engineering, University of Illinois at Urbana–Champaign, 117 Transportation Building, MC-238, 104 South Mathews Avenue, Urbana, IL 61801; e-mail: aliabbas@uiuc.edu . James S. Dyer (" A Discrete Time Approach for Modeling Two-Factor Mean-Reverting Stochastic Processes ") occupies the Fondren Centennial Chair in Business in the Red McCombs School of Business Administration at the University of Texas at Austin. His research and teaching interests are focused on applications of decision analysis and real options to problems of risk management and capital budgeting, and he has published extensively on these subjects in various journals, including Management Science and Operations Research. He is the former Chair of the Decision Analysis Society of INFORMS, and the former area editor for decision analysis for Operations Research. He was awarded the Ramsey Medal by the Decision Analysis Society and the Edgeworth-Pareto Award by the International Society on Multiple Criteria Decision Making. Address: Information, Risk, and Operations Management Department, McCombs School of Business, University of Texas at Austin, Austin, TX 78712; e-mail: jim.dyer@mccombs.utexas.edu . Jeffery L. Guyse (" Consistency Among Elicitation Techniques for Intertemporal Choice: A Within-Subjects Investigation of the Anomalies ") is currently an associate professor in the Technology and Operations Management Department at the Cal Poly Pomona. He holds a Ph.D. from University of California, Irvine in management and an undergraduate degree in economics from California State University, San Marcos. His research interests are focused on the methodological issues involved with eliciting preferences for decisions that occur over time for both monetary and nonmonetary outcomes. Address: Technology and Operations Management Department, College of Business Administration, California State Polytechnic University, Pomona, 3801 West Temple Avenue, Pomona, CA 91768; e-mail: jlguyse@csupomona.edu . Warren J. Hahn (" A Discrete Time Approach for Modeling Two-Factor Mean-Reverting Stochastic Processes ") is an assistant professor of decision sciences in the Graziadio School of Business and Management at Pepperdine University. He received his Ph.D. in management science from the University of Texas at Austin in 2005, and he also holds an M.B.A., an M.S. in civil engineering, and a B.S. in petroleum engineering, all from the University of Texas at Austin. His research interests include discrete-time modeling of stochastic processes and numerical techniques for solving decision analysis problems, with applications to commodity price modeling and valuation of real options. From 1991 through 2001, he held several engineering and financial management roles with firms in the energy industry, including ARCO, Vastar Resources, and BP. Address: Graziadio School of Business and Management, Pepperdine University, 24255 Pacific Coast Highway, Malibu, CA 90263; e-mail: joe.hahn@pepperdine.edu . Thomas W. Keelin (" Quantile-Parameterized Distributions ") is a cofounder and managing partner of Keelin Reeds Partners (KR), a management consulting firm that provides portfolio management, strategy, asset valuation, decision analysis, and business-development services. Over the last decade with KR, he has supervised such engagements for more than 80 venture-funded and emerging life sciences companies. Previously, Tom was the worldwide managing director of the Strategic Decisions Group (SDG), where he also served on the board of directors and executive committee. Over two decades at SDG, Tom founded the firm's electric utilities and life sciences practice areas and headed its strategy and strategy implementation consulting practices. He is a coauthor of the Harvard Business Review article "How SmithKline Beecham Makes Better Resource-Allocation Decisions" (March–April 1998), and he has testified before regulatory bodies in multiple U.S. states and internationally on issues of decision quality, investment risk analysis, and customer markets. He is also managing partner of Turning Point Asset Management, an investment management firm specializing in the acquisition and resolution of residential mortgages across the United States using an unusual combination of advance analytics and working with borrowers. Tom is a cofounder and is on the Board of Directors of the Decision Education Foundation, a not-for-profit organization that helps teens develop good decision making as a life skill. He holds three degrees from Stanford University: B.A. in economics and M.S. and Ph.D. in engineering-economic systems. Address: Keelin Reeds Partners, Menlo Park, CA 94025; e-mail: tomk@keelinreeds.com . L. Robin Keller (" From the Editor: Multiattribute and Intertemporal Preferences, Probability, and Stochastic Processes: Models and Assessment ") is a professor of operations and decision technologies in the Merage School of Business at the University of California, Irvine. She received her Ph.D. and M.B.A. in management science and her B.A. in mathematics from the University of California, Los Angeles. She has served as a program director for the Decision, Risk, and Management Science Program of the U.S. National Science Foundation (NSF). Her research is on decision analysis and risk analysis for business and policy decisions and has been funded by NSF and the U.S. Environmental Protection Agency. Her research interests cover multiple attribute decision making, riskiness, fairness, probability judgments, ambiguity of probabilities or outcomes, risk analysis (for terrorism, environmental, health, and safety risks), time preferences, problem structuring, cross-cultural decisions, and medical decision making. She is currently Editor-in-Chief of Decision Analysis, published by the Institute for Operations Research and the Management Sciences (INFORMS). She is a Fellow of INFORMS and has held numerous roles in INFORMS, including board member and chair of the INFORMS Decision Analysis Society. She is a recipient of the George F. Kimball Medal from INFORMS. She has served as the decision analyst on three National Academy of Sciences committees. Address: Merage School of Business, University of California, Irvine, Irvine, CA 92697-3125; e-mail: lrkeller@uci.edu . Francois Melese (" A Multiattribute Sealed-Bid Procurement Auction with Multiple Budgets for Government Vendor Selection ") is a professor of economics and the executive director of the Defense Resources Management Institute at the Naval Postgraduate School. He earned his B.A. in economics at the University of California, Berkeley; his M.A. at the University of British Columbia, Canada; and his Ph.D. at the Catholic University of Louvain, Belgium. His research interests include public budgeting, public procurement, game theory, and defense economics. He is widely published in these areas and on other topics in economics and management. He has taught public executive management courses around the world, and he has been an advisor and consultant to the Office of the Secretary of Defense (OSD Director of Administration and Management), the Joint Chiefs of Staff (Comptroller), NATO's Political and Economics Directorate, and the Defense Business Board (Advisors to the Secretary of Defense). A frequent participant at NATO meetings, Dr. Melese has represented the United States as a speaker and moderator in countries throughout Europe. Dr. Melese is a member of the American Economic Association, Southern Economic Association, and Western Economic Association, and he is an elected member of the Research Society of American Scientists—Sigma Xi. Address: Defense Resources Management Institute, Naval Postgraduate School, Monterey, CA 93943; e-mail: fmelese@nps.edu . Bradford W. Powley (" Quantile-Parameterized Distributions ") is a Ph.D. candidate in the Department of Management Science and Engineering at Stanford University. Brad holds an M.S. degree in management science and engineering from Stanford and a B.S. degree in mechanical engineering and materials science from the University of California, Davis. Brad consults on various portfolio management, strategy, asset valuation, and decision analysis engagements within the life sciences industry, and he has held various positions in manufacturing, design, and systems engineering in HP's Imaging and Printing and Medical Products Groups. His research interests include probability encoding and the application of decision analysis to asset valuation. Address: Department of Management Science and Engineering, Stanford University, Stanford, CA 94305; e-mail: bpowley@stanford.edu . Jay Simon (" A Multiattribute Sealed-Bid Procurement Auction with Multiple Budgets for Government Vendor Selection " and " Consistency Among Elicitation Techniques for Intertemporal Choice: A Within-Subjects Investigation of the Anomalies ") is an assistant professor at the Defense Resources Management Institute at the Naval Postgraduate School, where he teaches a wide range of topics in quantitative analysis, decision-maker preferences, uncertainty, risk, logistics, and economics. He received his Ph.D. in operations and decision technologies from the University of California, Irvine. His main research focus is multiattribute preference modeling, particularly involving outcomes that occur over time, space, or groups of people. His current work is on the topics of reference-dependent utility, preferences over geographical data, altruistic utility, use of military reserves, and resource usage in military operations. He is a member of INFORMS and the Decision Analysis Society. Address: Defense Resources Management Institute, Naval Postgraduate School, Monterey, CA 93943; e-mail: jrsimon@nps.edu .