World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
5406
World Ranking
8961
National Ranking
2501

Overview

Ali Mesbah is affiliated with the University of California, Berkeley in the United States. The primary field of study is Computer Science, with substantial research output in related subfields including Software, Information Systems, Signal Processing, Control and Systems Engineering, and Computer Networks and Communications.

The main topics of Ali Mesbah's research work encompass:

  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Advanced Malware Detection Techniques
  • Web Data Mining and Analysis
  • Software System Performance and Reliability
  • Web Applications and Data Management

Frequent publication venues for this scientist include:

  • arXiv (Cornell University)
  • IEEE Transactions on Software Engineering
  • ACM Transactions on Software Engineering and Methodology
  • Software Testing Verification and Reliability
  • Empirical Software Engineering

Notable recent papers authored or co-authored by Ali Mesbah include:

  • "BUGSJS: a benchmark and taxonomy of JavaScript bugs," 2020, Software Testing Verification and Reliability
  • "A Survey on the Use of Computer Vision to Improve Software Engineering Tasks," 2020, IEEE Transactions on Software Engineering
  • "Fragment-Based Test Generation for Web Apps," 2022, IEEE Transactions on Software Engineering
  • "A controlled experiment of different code representations for learning-based program repair," 2022, Empirical Software Engineering
  • "Katana: Dual Slicing Based Context for Learning Bug Fixes," 2023, ACM Transactions on Software Engineering and Methodology

Frequent co-authors collaborating with Ali Mesbah are:

  • Noor Nashid
  • Parsa Alian
  • Davood Mazinanian
  • Mohammad Bajammal

Best Publications

  • Stochastic Model Predictive Control: An Overview and Perspectives for Future Research

    Ali Mesbah

  • Building houses with local materials: means to drastically reduce the environmental impact of construction

    J C Morel;A Mesbah;M Oggero;Peter Walker

  • Stochastic nonlinear model predictive control with probabilistic constraints

    Ali Mesbah;Stefan Streif;Rolf Findeisen;Richard D. Braatz

  • Stochastic model predictive control with active uncertainty learning: A Survey on dual control

    Ali Mesbah

  • Stochastic model predictive control — how does it work?

    Tor Aksel N. Heirung;Joel A. Paulson;Jared O’Leary;Ali Mesbah

  • Stochastic model predictive control with joint chance constraints

    Joel A. Paulson;Edward A. Buehler;Richard D. Braatz;Ali Mesbah

  • A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study

    A.A. Bachnas;R. Tóth;J.H.A. Ludlage;A. Mesbah

  • Machine learning for modeling, diagnostics, and control of non-equilibrium plasmas

    Ali Mesbah;David B Graves

  • Future of plasma etching for microelectronics: Challenges and opportunities

    Unknown

  • Input design for active fault diagnosis

    Tor Aksel N. Heirung;Ali Mesbah

  • A control oriented study on the numerical solution of the population balance equation for crystallization processes

    Ali Mesbah;Herman J.M. Kramer;Adrie E.M. Huesman;Paul M.J. Van den Hof

  • A comparison of nonlinear observers for output feedback model-based control of seeded batch crystallization processes

    Ali Mesbah;Adrie E.M. Huesman;Herman J.M. Kramer;Paul M.J. Van den Hof

  • Machine learning in process systems engineering: Challenges and opportunities

    Unknown

  • An efficient method for stochastic optimal control with joint chance constraints for nonlinear systems

    Joel A. Paulson;Ali Mesbah

  • Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon?

    Unknown

  • Model Predictive Control of an Integrated Continuous Pharmaceutical Manufacturing Pilot Plant

    Ali Mesbah;Joel A. Paulson;Richard Lakerveld;Richard D. Braatz

  • Active Fault Diagnosis for Nonlinear Systems with Probabilistic Uncertainties

    Ali Mesbah;Stefan Streif;Rolf Findeisen;Richard D. Braatz

  • A model-based control framework for industrial batch crystallization processes

    A. Mesbah;J. Landlust;A.E.M. Huesman;H.J.M. Kramer

  • Approximate Closed-Loop Robust Model Predictive Control With Guaranteed Stability and Constraint Satisfaction

    Joel A. Paulson;Ali Mesbah

  • Deep Learning for Classification of the Chemical Composition of Particle Defects on Semiconductor Wafers

    Jared O'Leary;Kapil Sawlani;Ali Mesbah

  • Machine Learning for Real-Time Diagnostics of Cold Atmospheric Plasma Sources

    Dogan Gidon;Xuekai Pei;Angelo D. Bonzanini;David B. Graves

  • Model predictive control with integrated experiment design for output error systems

    Christian A. Larsson;Mariette Annergren;Hakan Hjalmarsson;Cristian R. Rojas

  • Stochastic physics-informed neural ordinary differential equations

    Unknown

  • Real-time control of a semi-industrial fed-batch evaporative crystallizer using different direct optimization strategies

    Ali Mesbah;Adrie E. M. Huesman;Herman J. M. Kramer;Zoltan K. Nagy

  • Towards a Biomanufactory on Mars

    Aaron J. Berliner;Jacob M. Hilzinger;Anthony J. Abel;Matthew J. McNulty

  • Stability analysis and stabilization of discrete-time non-homogeneous semi-Markov jump linear systems: A polytopic approach

    Zepeng Ning;Zepeng Ning;Lixian Zhang;Ali Mesbah;Patrizio Colaneri

  • Receding-horizon Stochastic Model Predictive Control with Hard Input Constraints and Joint State Chance Constraints

    Joel A. Paulson;Edward A. Buehler;Richard D. Braatz;Ali Mesbah

  • Stochastic Model Predictive Control

    Ali Mesbah;Ilya V. Kolmanovsky;Stefano Di Cairano

  • Least costly closed-loop performance diagnosis and plant re-identification

    A Ali Mesbah;Xja Bombois;M Forgione;H Hjalmarsson

Frequent Co-Authors

Paul M.J. Van den Hof
Paul M.J. Van den Hof Eindhoven University of Technology
Rolf Findeisen
Rolf Findeisen Technical University of Darmstadt
Adam P. Arkin
Adam P. Arkin Lawrence Berkeley National Laboratory
Douglas S. Clark
Douglas S. Clark University of California, Berkeley
Håkan Hjalmarsson
Håkan Hjalmarsson Royal Institute of Technology
Devin Coleman-Derr
Devin Coleman-Derr University of California, Berkeley
Lixian Zhang
Lixian Zhang Harbin Institute of Technology
Bruce Bugbee
Bruce Bugbee Utah State University
Peidong Yang
Peidong Yang University of California, Berkeley

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