Eva Regnier

Last updated
Eva Regnier
Education Massachusetts Institute of Technology; Georgia Institute of Technology
TitlePresident of the INFORMS Forum on Women in Operations Research and Management Science

Eva Dorothy Regnier (born 1971) [1] is a decision scientist whose research concerns the interaction between human decision-making and environmental prediction. She is a professor of decision science in the Graduate School of Business and Public Policy of the Naval Postgraduate School. [2]

Contents

Education and career

Regnier graduated from the Massachusetts Institute of Technology in 1992 with a bachelor's degree in environmental engineering science. After working from 1993 to 1996 in industry as an environmental engineer, she went to the Georgia Institute of Technology for a master's degree in operations research in 1999 and a Ph.D. in industrial engineering in 2001. [3] Her dissertation, Discounted Cash Flow Methods and Environmental Decisions, was supervised by Craig Tovey. [4]

She joined the Defense Resources Management Institute of the Naval Postgraduate School in 2001, moved to the Graduate School of Business and Public Policy in 2017, and was promoted to full professor in 2019. [3]

Regnier was president of the INFORMS Forum on Women in Operations Research and Management Science for 2011. [3]

Contributions

Regnier has published well-cited works on volatility in energy markets [pub 1] and on decision-making for evacuations based on hurricane predictions. [2] [pub 2] Other topics in her research include correlations between pirate activity and predicted changes in climate and weather. [2] [pub 3] Her work on hurricane evacuation was a finalist for the INFORMS Junior Faculty Forum award, and her work developing a tool to simulate the hurricane decision-making process was a finalist in the INFORMS MSOM Practice Based Research Competition. [5] She received the INFORMS Decision Analysis Society Publication Award for her work on probability forecasting. [6]

Selected publications

  1. Regnier, Eva (May 2007), "Oil and energy price volatility", Energy Economics, 29 (3): 405–427, doi:10.1016/j.eneco.2005.11.003
  2. Regnier, Eva (January 2008), "Public Evacuation Decisions and Hurricane Track Uncertainty", Management Science, 54 (1): 16–28, doi:10.1287/mnsc.1070.0764
  3. Esher, Leslie; Hall, Stacey; Regnier, Eva; Sanchez, Paul J.; Hansen, James A.; Singham, Dashi (December 2010), "Simulating pirate behavior to exploit environmental information" (PDF), Proceedings of the 2010 Winter Simulation Conference, IEEE, doi:10.1109/wsc.2010.5679060, S2CID   1499085

Related Research Articles

Decision analysis (DA) is the discipline comprising the philosophy, methodology, and professional practice necessary to address important decisions in a formal manner. Decision analysis includes many procedures, methods, and tools for identifying, clearly representing, and formally assessing important aspects of a decision; for prescribing a recommended course of action by applying the maximum expected-utility axiom to a well-formed representation of the decision; and for translating the formal representation of a decision and its corresponding recommendation into insight for the decision maker, and other corporate and non-corporate stakeholders.

In mathematical finance, a Monte Carlo option model uses Monte Carlo methods to calculate the value of an option with multiple sources of uncertainty or with complicated features. The first application to option pricing was by Phelim Boyle in 1977. In 1996, M. Broadie and P. Glasserman showed how to price Asian options by Monte Carlo. An important development was the introduction in 1996 by Carriere of Monte Carlo methods for options early exercise features.

Computer simulation is a prominent method in organizational studies and strategic management. While there are many uses for computer simulation, most academics in the fields of strategic management and organizational studies have used computer simulation to understand how organizations or firms operate. More recently, however, researchers have also started to apply computer simulation to understand organizational behaviour at a more micro-level, focusing on individual and interpersonal cognition and behavior such as team working.

Robert Engel Machol was an American systems engineer and professor of systems at the Kellogg Graduate School of Management of Northwestern University. Machol wrote the earliest significant books directly related to systems engineering. He was also Chief Scientist for the Federal Aviation Administration, President of the Operations Research Society of America, and an encyclopedia editor.

In project management, the Cone of Uncertainty describes the evolution of the amount of best case uncertainty during a project. At the beginning of a project, comparatively little is known about the product or work results, and so estimates are subject to large uncertainty. As more research and development is done, more information is learned about the project, and the uncertainty then tends to decrease, reaching 0% when all residual risk has been terminated or transferred. This usually happens by the end of the project i.e. by transferring the responsibilities to a separate maintenance group.

J. Scott Armstrong is an author, forecasting and marketing expert, and a professor of Marketing at the Wharton School of the University of Pennsylvania. He also serves as a Policy Expert at the Heartland Institute, a conservative and libertarian public policy think tank. In line with the Heartland institute's climate change denial, he has published articles stating that scientists whose research contributed to the scientific consensus on climate change did not apply the forecasting principles used in economics, a demand which was rejected by those scientists.

Awi Federgruen is a Dutch/American mathematician and operations researcher and Charles E. Exley Professor of Management at the Columbia University Graduate School of Business and affiliate professor at the university's Fu Foundation School of Engineering and Applied Science.

Elisabeth Pate-Cornell American engineer

Marie Elisabeth Lucienne Paté-Cornell,, is a Stanford University Professor in the Department of Management Science and Engineering and was the Founding Chair of the Department.

George Nemhauser American operations researcher, the A (born 1937)

George Lann Nemhauser is an American operations researcher, the A. Russell Chandler III Chair and Institute Professor of Industrial and Systems Engineering at the Georgia Institute of Technology and the former president of the Operations Research Society of America.

Sridhar Tayur American businessman

Sridhar R. Tayur is an American business professor, entrepreneur, and management thinker. He is university professor of operations management and Ford Distinguished Research Chair at the Tepper School of Business, Carnegie Mellon University, and the founder of SmartOps Corporation and OrganJet Corporation.

In queueing theory, a discipline within the mathematical theory of probability, a bulk queue is a general queueing model where jobs arrive in and/or are served in groups of random size. Batch arrivals have been used to describe large deliveries and batch services to model a hospital out-patient department holding a clinic once a week, a transport link with fixed capacity and an elevator.

Maqbool Dada is a professor at Carey Business School, Johns Hopkins University, with expertise in the areas of operations management, healthcare, and marketing. He is also a core faculty member at the Johns Hopkins School of Medicine’s Armstrong Institute for Patient Safety and Quality.

Michel Balinski Swiss-born Polish mathematician

Michel Louis Balinski was an applied mathematician, economist, operations research analyst and political scientist. As a Polish-American, educated in the United States, he lived and worked primarily in the United States and France. He was known for his work in optimisation, convex polyhedra, stable matching, and the theory and practice of electoral systems, jury decision, and social choice. He was Directeur de Recherche de classe exceptionnelle (emeritus) of the C.N.R.S. at the École Polytechnique (Paris). He was awarded the John von Neumann Theory Prize by INFORMS in 2013.

Özalp Özer American business professor

Özalp Özer Ph.D. is an American business professor specializing in pricing science and operations research. He is the Ashbel Smith Professor of Management Science at the Naveen Jindal School of Management and also currently serves as an affiliated faculty at the MIT Sloan School of Management.

Steven Nahmias is an author and professor of operations management at Santa Clara University. He is best known for his contributions to inventory theory, and, in particular, perishable inventory theory. He is also the author of Production and Operations Analysis, a preeminent text in the field. He is currently an Honorary Fellow of INFORMS and MSOM.

Aurelie or Aurélie Thiele is a French engineering and decision-making professor. She is an associate professor in the engineering management and information and systems department at the Lyle School of Engineering of Southern Methodist University.

Kamalini Ramdas is a Professor of Management Science and Operations and Deloitte Chair in Innovation & Entrepreneurship at London Business School, with expertise in the areas of innovation, entrepreneurship, and operations management. Ramdas' research examines innovative approaches, including service innovation, operational innovation, and business model innovation, to accelerate value creation in various service and manufacturing industries.

Panos (Panagiotis) Kouvelis is the Emerson Distinguished Professor of Supply Chain, Operations, and Technology and director of The Boeing Center for Supply Chain Innovation at the Olin Business School at Washington University in St. Louis. He is best known for his work on supply chain management, supply chain finance, operational excellence, and risk management.

Boris Maciejovsky is an Austrian behavioral scientist, and an Associate Professor of Management at the School of Business at the University of California, Riverside. He is also the founder and managing partner at Greenleaf Analytics LLC, a behavioral management consultancy. His research focuses on behavioral economics and organizational decision-making.

Tinglong Dai American academic

Tinglong Dai is a Professor of Operations Management and Business Analytics at the Carey Business School, Johns Hopkins University, with expertise in the areas of healthcare analytics, global supply chains, the interfaces between marketing and operations, and human–AI interaction. Dai's research primarily examines the health care ecosystem using analytics approaches, with a focus on behavioral, incentive, and policy issues related to healthcare operations management.

References

  1. Birth year and middle name from WorldCat identities, retrieved 2019-09-23
  2. 1 2 3 "Eva Regnier", EngineerGirl, National Academy of Engineering, retrieved 2019-09-23
  3. 1 2 3 Curriculum vitae, Naval Postgraduate School, retrieved 2019-09-23
  4. Eva Regnier at the Mathematics Genealogy Project
  5. "Eva Regnier", Recognizing excellence, INFORMS, retrieved 2019-09-23
  6. Regnier, Eva (2018-05-01). "Probability Forecasts Made at Multiple Lead Times". Management Science. 64 (5): 2407–2426. doi:10.1287/mnsc.2016.2720. ISSN   0025-1909.