Nikolaos Sahinidis, Professor
Affiliations: | Chemical Engineering | Carnegie Mellon University, Pittsburgh, PA |
Area:
OptimizationWebsite:
http://archimedes.cheme.cmu.edu/Google:
"Nikolaos Sahinidis"Bio:
https://www.genealogy.math.ndsu.nodak.edu/id.php?id=22106
Mean distance: 12572.5
Cross-listing: E-Tree
Parents
Sign in to add mentorIgnacio E. Grossmann | grad student | 1990 | Carnegie Mellon | |
(Mixed-Integer Nonlinear Programming Techniques for Planning and Scheduling in the Chemical Process Industries) |
Children
Sign in to add traineeMing-Long Liu | grad student | 1995 | UIUC |
Hong Seo Ryoo | grad student | 1999 | UIUC |
Shabbir Ahmed | grad student | 2000 | UIUC (Computer Science Tree) |
Mohit Tawarmalani | grad student | 2001 | UIUC (E-Tree) |
Kevin C. Furman | grad student | 2002 | UIUC |
Anastasia Vaia | grad student | 2003 | UIUC |
Youngjung Chang | grad student | 2006 | UIUC |
Xiaowei Bao | grad student | 2009 | UIUC |
Joseph M. Elble | grad student | 2010 | UIUC |
Aida Khajavirad | grad student | 2011 | Carnegie Mellon (Neurotree) |
Shweta Shah | grad student | 2011 | Carnegie Mellon (Neurotree) |
Apurva Samudra | grad student | 2012 | Carnegie Mellon (Neurotree) |
Keith P. Zorn | grad student | 2013 | Carnegie Mellon (E-Tree) |
Panagiotis D. Vouzis | post-doc | Carnegie Mellon (Neurotree) |
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Publications
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Hubbs CD, Li C, Sahinidis NV, et al. (2020) A deep reinforcement learning approach for chemical production scheduling Computers & Chemical Engineering. 141: 106982 |
Sun Y, Sahinidis NV, Sundaram A, et al. (2020) Derivative-free optimization for chemical product design Current Opinion in Chemical Engineering. 27: 98-106 |
Zhang Y, Sahinidis NV, Nohra C, et al. (2020) Optimality-based domain reduction for inequality-constrained NLP and MINLP problems Journal of Global Optimization. 77: 425-454 |
Sun Y, Samudra A, Sahinidis NV. (2019) 110th Anniversary: Design of Cooling Fluids for Electronic Equipment Industrial & Engineering Chemistry Research. 58: 4925-4935 |
Del Pia A, Khajavirad A, Sahinidis NV. (2019) On the impact of running intersection inequalities for globally solving polynomial optimization problems Mathematical Programming Computation. 12: 165-191 |
Sauk B, Ploskas N, Sahinidis N. (2018) GPU parameter tuning for tall and skinny dense linear least squares problems Optimization Methods and Software. 35: 638-660 |
Puranik Y, Samudra A, Sahinidis NV, et al. (2018) Infeasibility resolution for multi-purpose batch process scheduling Computers & Chemical Engineering. 116: 69-79 |
Ploskas N, Laughman C, Raghunathan AU, et al. (2018) Optimization of circuitry arrangements for heat exchangers using derivative-free optimization Chemical Engineering Research and Design. 131: 16-28 |
Furini F, Traversi E, Belotti P, et al. (2018) QPLIB: a library of quadratic programming instances Mathematical Programming Computation. 11: 237-265 |
Khajavirad A, Sahinidis NV. (2018) A hybrid LP/NLP paradigm for global optimization relaxations Mathematical Programming Computation. 10: 383-421 |