World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
98
Citations
34829
World Ranking
209
National Ranking
101

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2017 - Fellow of the International Federation of Automatic Control (IFAC)
  • 2014 - SIAM Fellow For contributions in large-scale nonlinear optimization theory and algorithms, particularly IPOPT, and their novel application to flowsheet optimization, process control, data reconciliation, and complex process applications.
  • 2013 - Member of the National Academy of Engineering For contributions in large-scale nonlinear optimization theory and algorithms for application to process optimization, design and control.

Overview

Lorenz T. Biegler is affiliated with Carnegie Mellon University in the United States and has produced significant research in the field of engineering, particularly focused on control and systems engineering.

Their work spans multiple subfields of study, including:

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computational Theory and Mathematics
  • Aerospace Engineering
  • Materials Chemistry

The primary topics of their research cover:

  • Advanced Control Systems Optimization
  • Process Optimization and Integration
  • Fault Detection and Control Systems
  • Advanced Multi-Objective Optimization Algorithms
  • Carbon Dioxide Capture Technologies
  • Advanced Optimization Algorithms Research
  • Control Systems and Identification

Among the recent papers authored or co-authored by Lorenz T. Biegler are the following:

  • "The IDAES process modeling framework and model library-Flexibility for process simulation and optimization," 2021, published in Journal of Advanced Manufacturing and Processing
  • "Formulating data-driven surrogate models for process optimization," 2023, Computers & Chemical Engineering
  • "A perspective on nonlinear model predictive control," 2021, Korean Journal of Chemical Engineering
  • "Heat exchanger network synthesis with detailed exchanger designs-2. Hybrid optimization strategy for synthesis of heat exchanger networks," 2020, AIChE Journal
  • "Predicting the performance of an industrial furnace using Gaussian process and linear regression: A comparison," 2023, Computers & Chemical Engineering

Frequent collaborators in their research include:

  • Miguel Zamarripa
  • Saif R. Kazi
  • Robert Parker
  • Sakshi Naik
  • Debangsu Bhattacharyya

Publication venues where their work regularly appears include:

  • Computers & Chemical Engineering
  • AIChE Journal
  • IFAC-PapersOnLine
  • Journal of Process Control
  • Industrial & Engineering Chemistry Research

Lorenz T. Biegler has been recognized by professional organizations with several awards, including:

  • Fellow of the International Federation of Automatic Control (IFAC), 2017
  • SIAM Fellow, 2014, for contributions in large-scale nonlinear optimization theory and algorithms, particularly IPOPT, applied to flowsheet optimization, process control, data reconciliation, and complex process applications
  • Member of the National Academy of Engineering, 2013, acknowledging contributions in large-scale nonlinear optimization theory and algorithms for process optimization, design, and control

Best Publications

  • On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

    Andreas Wächter;Lorenz T. Biegler

  • Systematic methods for chemical process design

    L.T. Biegler;I.E. Grossmann;A.W. Westerberg

  • Systematic Methods of Chemical Process Design

    Lorenz T. Biegler;Ignacio E. Grossmann;Arthur W. Westerberg

  • Nonlinear programming : concepts, algorithms, and applications to chemical processes

    Lorenz T. Biegler

  • An algorithmic framework for convex mixed integer nonlinear programs

    Pierre Bonami;Lorenz T. Biegler;Andrew R. Conn;GéRard CornuéJols

  • Retrospective on optimization

    Lorenz T. Biegler;Ignacio E. Grossmann

  • Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization

    Lorenz T. Biegler;Victor M. Zavala

  • An overview of simultaneous strategies for dynamic optimization

    Lorenz T. Biegler

  • Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence

    Andreas Wächter;Lorenz T. Biegler

  • On the optimization of differential-algebraic process systems

    J. E. Cuthrell;L. T. Biegler

  • Advances in simultaneous strategies for dynamic process optimization

    Lorenz T. Biegler;Arturo M. Cervantes;Andreas Wächter

  • Solution of dynamic optimization problems by successive quadratic programming and orthogonal collocation

    Lorenz T. Biegler

  • The advanced-step NMPC controller: Optimality, stability and robustness

    Victor M. Zavala;Lorenz T. Biegler

  • Simultaneous optimization and solution methods for batch reactor control profiles

    J.E. Cuthrell;L.T. Biegler

  • Optimization of a Pressure-Swing Adsorption Process Using Zeolite 13X for CO2 Sequestration

    Daeho Ko;Ranjani Siriwardane;Lorenz T. Biegler

  • Simultaneous dynamic optimization strategies: Recent advances and challenges

    Shivakumar Kameswaran;Lorenz T. Biegler

  • Accurate solution of differential-algebraic optimization problems

    Jeffery S. Logsdon;Lorenz T. Biegler

  • Convergence rates for direct transcription of optimal control problems using collocation at Radau points

    Shivakumar Kameswaran;Lorenz T. Biegler

  • Quadratic programming methods for reduced Hessian SQP

    C. Schmid;L.T. Biegler

  • Simultaneous strategies for data reconciliation and gross error detection of nonlinear systems

    I.B. Tjoa;L.T. Biegler

  • Large-Scale PDE-Constrained Optimization: An Introduction

    Lorenz T. Biegler;Omar Ghattas;Matthias Heinkenschloss;Bart van Bloemen Waanders

  • Data reconciliation and gross‐error detection for dynamic systems

    João S. Albuquerque;Lorenz T. Biegler

  • Assessment and Future Directions of Nonlinear Model Predictive Control

    Rolf Findeisen;Frank Allgöwer;Lorenz T. Biegler

  • Lyapunov stability of economically oriented NMPC for cyclic processes

    Rui Huang;Eranda Harinath;Lorenz T. Biegler

  • Line Search Filter Methods for Nonlinear Programming: Local Convergence

    Andreas Wächter;Lorenz T. Biegler

  • Large-Scale Inverse Problems and Quantification of Uncertainty

    Lorenz Biegler;George Biros;Omar Nabih Ghattas;Matthias Heinkenschloss

  • Constraint handing and stability properties of model-predictive control

    Nuno M. C. de Oliveira;Lorenz T. Biegler

  • A Superstructure-Based Optimal Synthesis of PSA Cycles for Post-Combustion CO2 Capture

    Anshul Agarwal;Lorenz T. Biegler;Stephen E. Zitney

  • Optimization approaches to nonlinear model predictive control

    L.T. Biegler;J.B. Rawlings

  • Contamination Source Determination for Water Networks

    Carl D. Laird;Carl D. Laird;Lorenz T. Biegler;Lorenz T. Biegler;Bart G. van Bloemen Waanders;Bart G. van Bloemen Waanders;Roscoe A. Bartlett;Roscoe A. Bartlett

  • Numerical Experience with a Reduced Hessian Methodfor Large Scale Constrained Optimization

    Lorenz T. Biegler;Jorge Nocedal;Claudia Schmid;David Ternet

Frequent Co-Authors

Myung S. Jhon
Myung S. Jhon Carnegie Mellon University
Guy A. Dumont
Guy A. Dumont University of British Columbia
Nae-Eung Lee
Nae-Eung Lee Sungkyunkwan University
Geun Young Yeom
Geun Young Yeom Sungkyunkwan University
James B. Rawlings
James B. Rawlings University of California, Santa Barbara
Youqing Shen
Youqing Shen Zhejiang University

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