Zelda Barbara Zabinsky is an industrial engineer and operations researcher specializing in the application of global optimization to logistics. She is a professor of industrial engineering at the University of Washington, where she also holds adjunct positions in electrical engineering, mechanical engineering, and civil and environmental engineering. [1]
Zabinsky did her undergraduate studies at the University of Puget Sound, majoring in mathematics with a minor in biology. Her interests from this time include optimization of transportation as well as predator-prey dynamics. After graduating, she worked at the National Marine Fisheries Service and Boeing before following her husband to Ann Arbor, Michigan, where she worked on applications of operations of research to health care at Vector Research, now part of the Altarum Institute. [2] She completed her Ph.D. in industrial and operations engineering at the University of Michigan. Her 1985 dissertation, Computational Complexity of Adaptive Algorithms in Monte Carlo Optimization, was supervised by Robert L. Smith. [3] She joined the University of Washington faculty in 1985. [1]
Zabinsky is the author of the book Stochastic Adaptive Search in Global Optimization (Kluwer, 2004). [4]
Zabinsky is a Fellow of the Institute of Industrial and Systems Engineers, elected in 2009. [5] She was elected to the 2019 class of Fellows of the Institute for Operations Research and the Management Sciences, for "fundamental contributions in developing theory and algorithms for global optimization, with significant applications in engineering design, health care, and numerous other fields, and substantial impacts in education and service". [6]
In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, tune, or select a heuristic that may provide a sufficiently good solution to an optimization problem or a machine learning problem, especially with incomplete or imperfect information or limited computation capacity. Metaheuristics sample a subset of solutions which is otherwise too large to be completely enumerated or otherwise explored. Metaheuristics may make relatively few assumptions about the optimization problem being solved and so may be usable for a variety of problems.
Thomas Lee Magnanti is an American engineer and Institute Professor and former Dean of the School of Engineering at the Massachusetts Institute of Technology.
Yu-Chi "Larry" Ho is a Chinese-American mathematician, control theorist, and a professor at the School of Engineering and Applied Sciences, Harvard University.
Dimitri Panteli Bertsekas is an applied mathematician, electrical engineer, and computer scientist, a McAfee Professor at the Department of Electrical Engineering and Computer Science in School of Engineering at the Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, and also a Fulton Professor of Computational Decision Making at Arizona State University, Tempe.
Anna Nagurney is an American mathematician, economist, educator and writer in the field of Operations Management. Nagurney is the Eugene M. Isenberg Chair in Integrative Studies in the Isenberg School of Management at the University of Massachusetts Amherst in Amherst, Massachusetts. Previously, she held the John F. Smith Memorial Professorship of Operations Management at the Isenberg School of Management from 1998 to 2021.
Erhan Çınlar is a probabilist and Professor Emeritus at Princeton University. He was the Norman J. Sollenberger Professor of the department of Operations Research and Financial Engineering (ORFE) at Princeton University.
Anders Gunnar Lindquist is a Swedish applied mathematician and control theorist. He has made contributions to the theory of partial realization, stochastic modeling, estimation and control, and moment problems in systems and control. In particular, he is known for the discovery of the fast filtering algorithms for (discrete-time) Kalman filtering in the early 1970s, and his seminal work on the separation principle of stochastic optimal control and, in collaborations with Giorgio Picci, the Geometric Theory for Stochastic Realization. Together with late Christopher I. Byrnes and Tryphon T. Georgiou, he is one of the founder of the so-called Byrnes-Georgiou-Lindquist school. They pioneered a new moment-based approach for the solution of control and estimation problems with complexity constraints.
Dorit S. Hochbaum is a professor of industrial engineering and operations research at the University of California, Berkeley. She is known for her work on approximation algorithms, particularly for facility location, covering and packing problems, and scheduling, and on flow and cut algorithms, Markov random fields, image segmentation and clustering.
Bruce Edward Hajek is a Professor in the Coordinated Science Laboratory, the head of the Department of Electrical and Computer Engineering, and the Leonard C. and Mary Lou Hoeft Chair in Engineering at the University of Illinois Urbana–Champaign. He does research in communication networking, auction theory, stochastic analysis, combinatorial optimization, machine learning, information theory, and bioinformatics.
Peter Richtarik is a Slovak mathematician and computer scientist working in the area of big data optimization and machine learning, known for his work on randomized coordinate descent algorithms, stochastic gradient descent and federated learning. He is currently a Professor of Computer Science at the King Abdullah University of Science and Technology.
Cynthia Barnhart is an American civil engineer and academic who has been serving as provost of the Massachusetts Institute of Technology since March 2022. She previously served as the Institute's chancellor from 2014 to 2021.
Christine A. Shoemaker joined the Department of Industrial Systems Engineering & Management and the Department of Civil and Environmental Engineering as NUS Distinguished Professor on 31 August 2015. Prof Shoemaker obtained her Ph.D. in mathematics from the University of Southern California supervised by Richard Bellman in Dynamic Programming. Upon her graduation, she joined the School of Civil and Environmental Engineering and later the School of Operations Research and Information Engineering at Cornell University, Ithaca, NY, USA. She was promoted to full Professor in 1985. From 1985 to 1988, Professor Shoemaker was the Chair of the Department of Environmental Engineering at Cornell University. In 2002 Prof. Shoemaker was appointed the Joseph P. Ripley Professor of Engineering at Cornell University, USA. In 2015, Prof. Shoemaker became Distinguished Professor at National University of Singapore, in both Industrial Systems Engineering and Management Department and Civil and Environmental Engineering Department. While in Singapore she has worked with Singapore water agency to apply her global optimization algorithms to improve the selection of parameters for computationally expensive partial differential equation models for lake hydrodynamics and complex multi-species water quality elements. These results used her group's new parallel algorithms.
Vivek Shripad Borkar is an Indian electrical engineer, mathematician and an Institute chair professor at the Indian Institute of Technology, Mumbai. He is known for introducing analytical paradigm in stochastic optimal control processes and is an elected fellow of all the three major Indian science academies viz. the Indian Academy of Sciences, Indian National Science Academy and the National Academy of Sciences, India. He also holds elected fellowships of The World Academy of Sciences, Institute of Electrical and Electronics Engineers, Indian National Academy of Engineering and the American Mathematical Society. The Council of Scientific and Industrial Research, the apex agency of the Government of India for scientific research, awarded him the Shanti Swarup Bhatnagar Prize for Science and Technology, one of the highest Indian science awards for his contributions to Engineering Sciences in 1992. He received the TWAS Prize of the World Academy of Sciences in 2009.
Jorge Nocedal is an applied mathematician, computer scientist and the Walter P. Murphy professor at Northwestern University who in 2017 received the John Von Neumann Theory Prize. He was elected a member of the National Academy of Engineering in 2020.
Coralia Cartis is a Romanian mathematician at the University of Oxford whose research interests include compressed sensing, numerical analysis, and regularisation methods in mathematical optimization. At Oxford, she is a Professor in Numerical Optimization in the Mathematical Institute, and a tutorial fellow of Balliol College.
Mark Edwin Lewis is an American industrial engineer and professor at Cornell University. He was the first African-American faculty member hired in Industrial Engineering at University of Michigan and the first tenured African-American faculty member at the School of Operations Research and Information Engineering at Cornell University. Lewis' research is focused on stochastic processes, and queueing theory and Markov decision processes in particular.
Sharon Filipowski Arroyo is an American applied mathematician and operations researcher who works for Boeing as a Boeing Technical Fellow. She works in the Applied Mathematics Group of Boeing Research and Technology on mathematical optimization applications in aircraft manufacturing and management.
Robert L. Smith is an American engineer, academic and author. He is the Altarum/ERIM Russell D. O’Neal Professor Emeritus in the Department of Industrial and Operations Engineering at the University of Michigan, Ann Arbor.
Ariela Sofer is an Israeli and American operations researcher whose research expertise includes algorithms for mathematical optimization and their application to the reconstruction of three-dimensional shapes from positron emission tomography. She is a professor of systems engineering and operations research at George Mason University, and Divisional Dean for the Volgenau School of Engineering at George Mason University.
Simge Küçükyavuz is a Turkish-American industrial engineer whose research involves mathematical optimization, including mixed-integer programming and stochastic programming, and their applications in network design. She is David A. and Karen Richards Sachs Professor of Industrial Engineering and Management Sciences, and Chair of Industrial Engineering and Management Sciences, at Northwestern University.