Stanley B. Gershwin is a Senior Research Scientist at the MIT Department of Mechanical Engineering. He received the B.S. degree in Engineering Mathematics from Columbia University, New York, New York, in 1966; and the M.A. and Ph.D. degrees in Applied Mathematics from Harvard University, Cambridge, Massachusetts, in 1967 and 1971. In 1970-71, he was employed by the Bell Telephone Laboratories in New Jersey, where he studied telephone hardware capacity estimation. At the C. S. Draper Laboratory in Cambridge, Massachusetts, from 1971-75, he investigated problems in manufacturing and in transportation. He worked in the MIT Laboratory for Information and Decision Systems (LIDS) during 1975-1987. He was Professor of Manufacturing Engineering at the Boston University College of Engineering (half time) in 1986-1987. Dr. Gershwin currently teaches an MIT course in Manufacturing Systems Analysis (2.852). He has been a member of the MIT Laboratory for Manufacturing and Productivity since 1988. Dr. Gershwin is the author of Manufacturing Systems Engineering (Prentice-Hall, 1994) and numerous papers in international journals. The Institute of Industrial Engineers has given two awards for his paper "Design and Operation of Manufacturing Systems --- The Control-Point Policy,'' (IIE Transactions, Volume 32, Number 2, pp. 891-906, October, 2000) the Best Paper Award for the IIE Transactions focus issues on Design and Manufacturing for 2000-2001, and the Outstanding IIE Publication Award for 2000-2001. An article has appeared in IIE Solutions on Dr. Gershwin and these awards. The Institute of Industrial Engineers has selected "Information inaccuracy in inventory systems: stock loss and stockout," (IIE Transactions, Volume 37, Number 9, September 2005, pp. 843­859) by Yun Kang and Stanley B. Gershwin for the Best Paper of the Year in IIE Transactions on Design & Manufacturing. His research interests include real-time scheduling and planning in manufacturing systems; hierarchical control; dynamic programming in hybrid (discrete and continuous state) systems; decomposition methods for large scale systems; approximation techniques. His major research goal is the development of an engineering theory of manufacturing systems control. Dr. Gershwin and his students have performed research projects and consulted for such companies as Boeing, General Motors, Polaroid, Hewlett Packard, Johnson & Johnson, United Technologies, and others. Dr. Gershwin is a member of the IEEE Control Systems Society, the IEEE Robotics and Automation Society, the Operations Research Society of America, the Institute of Industrial Engineers, and the Society of Manufacturing Engineers. He has been an Associate Editor of several international journals, including International Journal of Production Research, Operations Research, IEEE Transactions on Automatic Control, and others. Dr. Gershwin was an IEEE Control Systems Society Distinguished Lecturer and is a Fellow of the IEEE. Dr. Gershwin is affiliated with MIT's Laboratory for Manufacturing and Productivity, Leaders for Manufacturing Program , and the Operations Research Center.

Dr. Anthony is Director of MIT’s Master of Engineering in Manufacturing Program, Co-Director of the Medical Electronic Device Realization Center, and Deputy Director for the MIT Skoltech Initiative. With over 20 years experience in product realization—Dr. Anthony won an Emmy (from the Academy of Television Arts and Sciences) in broadcast technical innovation—Dr. Anthony designs instruments and techniques to monitor and control physical systems. His work involves systems analysis and design and calling upon mechanical, electrical, and optical engineering, along with computer science and optimization, to create solutions.

The focus of Dr. Anthony’s research is in computational instrumentation—the design of instruments and techniques to measure and control complex physical systems. His research includes the development of instrumentation and measurement solutions for manufacturing systems and medical diagnostics and imaging systems. In addition to his academic work, he has extensive experience in market-driven technology innovation, product realization, and business entrepreneurship and commercialization at the intersection between information technology and advanced manufacturing. His teaching interests include the modeling of large-scale systems in a wide variety of decision-making domains and the development of optimization algorithms and software for analyzing and designing such systems. He has extensive experience in market driven technology innovation as well as business entrepreneurship.