Nikolaos V. Sahinidis

Georgia Institute of Technology — United States

Mathematics · Physical Sciences

54h-index15.2kcitations250works2.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced Optimization Algorithms Research(75), Advanced Control Systems Optimization(65), Process Optimization and Integration(64), Advanced Multi-Objective Optimization Algorithms(26), Computational Drug Discovery Methods(17)

Publications250 total

Constructing tight quadratic relaxations for global optimization: II. underestimating difference-of-convex (D.C.) functions
Journal of Global Optimization·2025· 1 citedOpen Access
Constructing Tight Quadratic Relaxations for Global Optimization: I. Outer-Approximating Twice-Differentiable Convex Functions
Journal of Global Optimization·2025· 1 citedOpen Access
Algorithm-Guided Experimentation for Optimization of High-Performance Perovskite Solar Cells
ACS Energy Letters·2025Open Access
A large-scale benchmarking of deterministic and stochastic black-box optimization algorithms
2025Open Access
Learning to deactivate probing with graph convolutional network for mixed-integer nonlinear programming
Optimization Letters·2025Open Access
Model-and-search: a derivative-free local optimization algorithm
Computational Optimization and Applications·2025· 2 citedOpen Access
New bounds and formulations for the deterministic global optimization of Lennard–Jones clusters
Journal of Global Optimization·2025Open Access
Surrogate modeling and optimization of the leaching process in a rare earth elements recovery plant
Computers & Chemical Engineering·2025· 2 citedOpen Access
Simultaneous convexification for the planar obnoxious facility location problem
Journal of Global Optimization·2025· 2 cited
A combined linear and nonlinear presolve for nonlinear optimization
EURO Journal on Computational Optimization·2025Open Access
Solving continuous and discrete nonlinear programs with BARON
Computational Optimization and Applications·2024· 11 cited
Surrogate modeling of the leaching process in a rare earth elements recovery plant
2024· 1 citedOpen Access
Optimizing the design and operation of water networks: Two decomposition approaches
Computers & Chemical Engineering·2024· 2 citedOpen Access
A reformulation-enumeration MINLP algorithm for gas network design
Journal of Global Optimization·2024· 5 cited
Constructing Tight Quadratic Relaxations for Global Optimization: I. Outer-Approximating Twice-Differentiable Convex Functions
arXiv (Cornell University)·2024Open Access
Learning to Branch with Interpretable Machine Learning Models
2024Open Access
Ultrasound-based separation of ethanol-water mixtures is economically advantageous and sustainable
Cell Reports Physical Science·2024· 7 citedOpen Access
A reformulation-enumeration MINLP algorithm for gas network design
arXiv (Cornell University)·2023Open Access
Announcement: Howard Rosenbrock Prize 2022
Optimization and Engineering·2023Open Access
Branch-and-Model: a derivative-free global optimization algorithm
Computational Optimization and Applications·2023· 13 cited
page 1 of 13Next →

Frequent Co-authors

Mohit Tawarmalani(13), Ignacio E. Grossmann(5), David C. Miller(3), Shabbir Ahmed(3), Kevin C. Furman(2), Alison Cozad(2), N. Austin(2), Daniel W. Trahan(2), Panagiotis D. Vouzis(2), Ming Long Liu(2), Xiaowei Bao(2), Luis Miguel Rios(1), Hanil Ryoo(1), Hong S. Ryoo(1), Zachary Wilson(1), R.E. Fornari(1), M. Chathrathi(1), Christian D. Hubbs(1), Can Li(1), John M. Wassick(1)