Scholar
Ignacio E. Grossmann
Google Scholar ID: fiZryxEAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
22,904
H-index
72
i10-index
475
Publications
20
Co-authors
9
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Contributions span theoretical advancements, computational techniques, and real-world applications.
Research Experience
- Conducted extensive research in process synthesis, planning, and scheduling through novel mathematical programming approaches, including Mixed-Integer Linear Programming (MILP), Mixed-Integer Nonlinear Programming (MINLP), General Disjunctive Programming (GDP), global optimization, and multi-period optimization.
Background
- Focused on the development of discrete-continuous optimization models and methods in process systems engineering.
