World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
59
Citations
18578
World Ranking
580
National Ranking
297

Engineering and Technology

D-Index
60
Citations
19976
World Ranking
2126
National Ranking
673

Research.com Recognitions

  • 2014 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

Nikolaos V. Sahinidis is affiliated with the Georgia Institute of Technology in the United States and has made significant contributions to the fields of Computer Science and Engineering. Their research spans a number of subfields including Computational Theory and Mathematics, Control and Systems Engineering, Numerical Analysis, Artificial Intelligence, and Industrial and Manufacturing Engineering.

The scientist's work focuses primarily on advanced optimization algorithms and process optimization, with notable topics covered including:

  • Advanced Optimization Algorithms Research
  • Process Optimization and Integration
  • Advanced Control Systems Optimization
  • Advanced Multi-Objective Optimization Algorithms
  • Optimization and Variational Analysis
  • Metaheuristic Optimization Algorithms Research
  • Computational Drug Discovery Methods

Some of the recent publications authored or co-authored by Nikolaos V. Sahinidis include:

  • A deep reinforcement learning approach for chemical production scheduling, 2020, Computers & Chemical Engineering
  • Process Systems Engineering Perspective on the Design of Materials and Molecules, 2021, Industrial & Engineering Chemistry Research
  • Computer-aided retrosynthetic design: fundamentals, tools, and outlook, 2021, Current Opinion in Chemical Engineering
  • Review and comparison of algorithms and software for mixed-integer derivative-free optimization, 2021, Journal of Global Optimization
  • Data-driven strategies for extractive distillation unit optimization, 2022, Computers & Chemical Engineering

The scientist often collaborates with several frequent co-authors, including:

  • Arvind U. Raghunathan
  • Kaiwen Ma
  • Sreekanth Rajagopalan
  • Yi Zhang
  • Santanu S. Dey

Nikolaos V. Sahinidis has published extensively across multiple academic venues, with a concentration in the following journals and platforms:

  • Computers & Chemical Engineering
  • arXiv (Cornell University)
  • Journal of Global Optimization
  • Optimization and Engineering
  • Computational Optimization and Applications

In 2014, the scientist was recognized as a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), an acknowledgment of their contributions to the field of operations research and management sciences.

Best Publications

  • Optimization under uncertainty: state-of-the-art and opportunities

    Nikolaos V. Sahinidis

  • Derivative-free optimization: a review of algorithms and comparison of software implementations

    Luis Miguel Rios;Nikolaos V. Sahinidis

  • A polyhedral branch-and-cut approach to global optimization

    Mohit Tawarmalani;Nikolaos V. Sahinidis

  • BARON: A general purpose global optimization software package

    Nikolaos V. Sahinidis

  • Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications

    Nikolaos V. Sahinidis;Mohit Tawarmalani

  • Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming

    Mohit Tawarmalani;Nikolaos V. Sahinidis

  • Global optimization of mixed-integer nonlinear programs: A theoretical and computational study

    Mohit Tawarmalani;Nikolaos V. Sahinidis

  • Global optimization of nonconvex NLPs and MINLPs with applications in process design

    H.S. Ryoo;N.V. Sahinidis

  • Simulation optimization: a review of algorithms and applications

    Satyajith Amaran;Satyajith Amaran;Nikolaos V. Sahinidis;Bikram Sharda;Scott J. Bury

  • A Critical Review and Annotated Bibliography for Heat Exchanger Network Synthesis in the 20th Century

    Kevin C. Furman;Nikolaos V. Sahinidis

  • Learning surrogate models for simulation‐based optimization

    Alison Cozad;Nikolaos V. Sahinidis;David C. Miller

  • A Branch-and-Reduce Approach to Global Optimization

    Hong-Seo Ryoo;Nikolaos V. Sahinidis

  • A finite branch-and-bound algorithm for two-stage stochastic integer programs

    Shabbir Ahmed;Mohit Tawarmalani;Nikolaos V. Sahinidis

  • Optimization in Process Planning under Uncertainty

    Ming Long Liu and;Nikolaos V. Sahinidis

  • Robust Process Planning under Uncertainty

    Shabbir Ahmed;Nikolaos V. Sahinidis

  • Optimization model for long range planning in the chemical industry

    N.V. Sahinidis;I.E. Grossmann;R.E. Fornari;M. Chathrathi

  • GPU-BLAST

    Panagiotis D. Vouzis;Nikolaos V. Sahinidis

  • Computer-aided molecular design: An introduction and review of tools, applications, and solution techniques

    Nick D. Austin;Nikolaos V. Sahinidis;Daniel W. Trahan

  • The ALAMO approach to machine learning

    Zachary T. Wilson;Nikolaos V. Sahinidis

  • Convergence properties of generalized benders decomposition

    N.V. Sahinidis;I.E. Grossmann

  • MINLP model for cyclic multiproduct scheduling on continuous parallel lines

    N.V. Sahinidis;I.E. Grossmann

Frequent Co-Authors

Ignacio E. Grossmann
Ignacio E. Grossmann Carnegie Mellon University
Shabbir Ahmed
Shabbir Ahmed Georgia Institute of Technology
Sankaran Sundaresan
Sankaran Sundaresan Princeton University
Chi-Hwa Wang
Chi-Hwa Wang National University of Singapore
Lorenz T. Biegler
Lorenz T. Biegler Carnegie Mellon University
B. Erik Ydstie
B. Erik Ydstie SilisiumTech Inc.
Jens Birkholzer
Jens Birkholzer Lawrence Berkeley National Laboratory
Jingwei Xie
Jingwei Xie University of Nebraska Medical Center
Zi-Feng Ma
Zi-Feng Ma Shanghai Jiao Tong University

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