Lorenz T. Biegler is Bayer Professor of Chemical Engineering at Carnegie Mellon. He obtained his doctorate in chemical engineering at the University of Wisconsin in 1981 and joined Carnegie Mellon University in the same year. His research interests include process optimization and the optimization of differential-algebraic systems. A 1985 Presidential Young Investigator, a recipient of the 1996 ASEE McGraw Award and the 2000 AIChE Computing in Chemical Engineering Award, the CACHE Computing in Chemical Engineering Education Award and Fellow of the AIChE. He is a consultant for a number of industries.
Ignacio E. Grossmann,
Dean University Professor and Former Head of Chemical Engineering at Carnegie Mellon, obtained his master of science and doctorate in chemical engineering from Imperial College, London. He joined Carnegie Mellon in 1979 after one year of industrial experience with the Instituto Mexicano del Petroleo. His interests are in the areas of mixed-integer and logic based programming, process synthesis, enterprise-wide optimization, and planning and scheduling. He was a recipient of the 1984 Presidential Young Investigator Award, the 1995 Computing in Chemical Engineering Award, the 1997 William Walker Award of AICHE and recipient of the 2003 INFORMS Computing Society Prize. He is a member of the National Academy of Engineering, Fellow of AIChE and holds an honorary doctorate from Abo Academy in Finland.
Nikolaos V. Sahinidis is the Swearingen Professor of Chemical Engineering at Carnegie Mellon University. He obtained his Ph.D. from Carnegie Mellon in 1990 and joined the faculty at Carnegie Mellon in 2007, after a sixteen-year long career at the University of Illinois at Urbana. His research has focused heavily on the development of theory, algorithms, and software for global optimization of mixed-integer nonlinear programs, with applications in X-ray imaging, bioinformatics, and molecular design. His BARON global optimization software has found applications in fields ranging from computational chemistry to energy modeling. His research activities have been recognized by several awards, including the 2004 INFORMS Computing Society Prize and the 2006 Beale-Orchard-Hays Prize from the Mathematical Programming Society.
Erik Ydstie is Professor in the Department of Chemical Engineering. He obtained his doctorate in chemical engineering from Imperial College, London. He joined Carnegie Mellon in 1992 after spending several years at the University of Masachusetts, Amherst. His interests are in the real time adaptive control and optimization, dynamics and control of complex networks, design and control of particulate processes with application to solar cell production, and design and control of multi-phase reactor systems. He was Director of R&D at ELKEM ASA in 1999-2000, and board member and chairman of board SolarSilicon , Oslo , 1999 – 2000. He is recipient of the 2007 Computing in Chemical Engineering Award of AIChE. |
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