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September 11, 2025
TheLens
Science & TechWorkshops & Lectures

Mixed-integer and Disjunctive Programming and Mixed-integer Models for Planning and Scheduling Short Course

Professor Ignacio Grossmann, university professor of chemical engineering, Carnegie Mellon University, PA, USA

Tuesday, April 19 and Wednesday, April 20
8:30 a.m. – 4:30 p.m.
Ibn Sina (bldg. 3), room 5209

To register for the course, please email sri.uq@kaust.edu.sa and include your
name, institution and email address.

Summary of topics covered:

  • Mixed-integer linear and nonlinear programming
  • Logic-based optimization and disjunctive programming
  • Global optimization
  • Refinery scheduling and blending
  • Multi-site production planning
  • Supply chain models
  • Decomposition methods for planning and scheduling.

Biography

Professor Ignacio E. Grossmann is the Rudolph R. and Florence Dean university professor of chemical engineering and former department head at Carnegie Mellon University. He obtained his B.S. degree in chemical engineering at the Universidad
Iberoamericana, Mexico City, in 1974, and his M.S. and Ph.D. in chemical engineering at Imperial College in 1975 and 1977, respectively. After working as an R&D engineer at the Instituto Mexicano del Petróleo in 1978, he joined Carnegie Mellon in 1979.

He was director of the synthesis laboratory in the Engineering Design Research Center from 1988-93. He is currently the director of the Center for Advanced Process Decision-Making, which consists of a total of 20 petroleum, chemical and engineering companies. Ignacio Grossmann is a member of the National Academy of Engineering, Mexican Academy of Engineering, and is associate editor of AIChE Journal and member of editorial board of Computers and Chemical Engineering, Journal of Global Optimization, Optimization and Engineering, Latin American Applied Research and Process Systems
Engineering Series. He is a member of the American Institute of Chemical Engineers, Institute for Operations Research and Management Science, Mathematical Optimization Society and the American Chemical Society.

Major awards include the 1984 Presidential Young Investigator Award; the 1994 Computing in Chemical Engineering Award of the CAST Division of AIChE; the 1997 William H. Walker Award of AIChE; in 2002, Honorary Doctor in Technology from Åbo Akademi in Finland; fellow of INFORMS and AICHE; Top 15 Most Cited Author in Computer Science by ISI. 2003 INFORMS Computing Prize Award; 2007 Kun Li Award for Excellence in Education; in 2007, Doctor Honoris Causa, University of Maribor, Slovenia; in 2008, named as one of the “One Hundred Engineers of the Modern Era” by AICHE; in 2009, received the Warren K. Lewis Award for Chemical Engineering Education by AIChE; and in 2011, the Research Excellence in Sustainable Engineering Award from AIChE.

For more information, please visit:

https://sri-uq.kaust.edu.sa/Pages/Home.aspx.

Organizers

Omar Knio

Deputy Director, Center for Uncertainty Quantification in Computational Science and Engineering

Professor, Computer, Electrical and Mathematical Science and Engineering Division, KAUST

Omar.Knio@kaust.edu.sa.

Ricardo Lima

Research Scientist, Center for Uncertainty Quantification in Computational Science and Engineering

Computer, Electrical and Mathematical Science and Engineering Division, KAUST

Ricardo.Lima@kaust.edu.sa.

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