World's Best Scientists 2026 revealed!
Ioannis G. Kevrekidis

Ioannis G. Kevrekidis

Award Badge
Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
84
Citations
25574
World Ranking
117
National Ranking
67

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2020 - Member of the National Academy of Engineering For research on multiscale mathematical modeling and scientific computation for complex, nonlinear reaction, and transport processes.
  • 2010 - SIAM Fellow For research contributions in chemical engineering, applied mathematics, and the computational sciences.

Overview

Ioannis G. Kevrekidis is affiliated with Johns Hopkins University in the United States. Their research spans across multiple fields, primarily within Computer Science and Physics and Astronomy, with a focus on Statistical and Nonlinear Physics, Artificial Intelligence, Molecular Biology, Computational Mechanics, and Computational Theory and Mathematics.

Kevrekidis's scholarly output includes numerous papers published in diverse scientific venues. Frequent publication venues include arXiv (Cornell University), Chaos An Interdisciplinary Journal of Nonlinear Science, the Journal of Computational Physics, Nature Communications, and Computers & Chemical Engineering.

Their research topics cover a range of subjects such as Model Reduction and Neural Networks, Neural Networks and Applications, Gaussian Processes and Bayesian Inference, Probabilistic and Robust Engineering Design, Gene Regulatory Network Analysis, Advanced Mathematical Modeling in Engineering, and Neural dynamics and brain function.

Among the recent papers authored or co-authored by Kevrekidis are:

  • Physics-informed machine learning (2021), published in Nature Reviews Physics
  • High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery (2022), published in Science
  • Depolymerization of plastics by means of electrified spatiotemporal heating (2023), published in Nature
  • Programmable heating and quenching for efficient thermochemical synthesis (2022), published in Nature
  • Development of data-driven filtered drag model for industrial-scale fluidized beds (2020), published in Chemical Engineering Science

Kevrekidis has collaborated extensively with several researchers. Frequent co-authors include Felix Dietrich, Constantinos Siettos, Tom Bertalan, Juan M. Bello-Rivas, and Nikolaos Evangelou.

The scientist has been recognized with awards such as membership in the National Academy of Engineering in 2020 for contributions to multiscale mathematical modeling and scientific computation related to complex nonlinear reaction and transport processes. Earlier, in 2010, they were named a SIAM Fellow for research contributions in chemical engineering, applied mathematics, and the computational sciences.

Best Publications

  • A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition

    Matthew O. Williams;Ioannis G. Kevrekidis;Clarence W. Rowley

  • Diffusion maps, spectral clustering and reaction coordinates of dynamical systems

    Boaz Nadler;Stéphane Lafon;Ronald R. Coifman;Ioannis G. Kevrekidis

  • Equation-Free, Coarse-Grained Multiscale Computation: Enabling Mocroscopic Simulators to Perform System-Level Analysis

    C. William Gear;James M. Hyman;Panagiotis G Kevrekidid;Ioannis G. Kevrekidis

  • Low‐dimensional models for complex geometry flows: Application to grooved channels and circular cylinders

    A. E. Deane;I. G. Kevrekidis;G. E. Karniadakis;S. A. Orszag

  • Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators

    Boaz Nadler;Stephane Lafon;Ioannis Kevrekidis;Ronald R. Coifman

  • Equation-free: The computer-aided analysis of complex multiscale systems

    Ioannis G. Kevrekidis;C. William Gear;Gerhard Hummer

  • Back in the saddle again: a computer assisted study of the Kuramoto-Sivashinsky equation

    Ioannis G. Kevrekidis;Basil Nicolaenko;James C. Scovel

  • Inherent noise can facilitate coherence in collective swarm motion

    Christian A. Yates;Radek Erban;Carlos Escudero;Iain D. Couzin

  • Diffusion maps, reduction coordinates, and low dimensional representation of stochastic systems

    Ronald R. Coifman;Ioannis G. Kevrekidis;Stéphane Lafon;Mauro Maggioni

  • Equation-Free Multiscale Computation: Algorithms and Applications

    Ioannis G. Kevrekidis;Giovanni Samaey

  • Approximate inertial manifolds for the Kuramoto-Sivashinsky equation: analysis and computations

    M. S. Jolly;I. G. Kevrekidis;E. S. Titl

  • Data-driven model reduction and transfer operator approximation

    Stefan Klus;Feliks Nüske;Péter Koltai;Hao Wu

  • "Coarse" stability and bifurcation analysis using time-steppers: a reaction-diffusion example.

    Constantinos Theodoropoulos;Yue Hong Qian;Ioannis G. Kevrekidis

  • Projective Methods for Stiff Differential Equations: Problems with Gaps in Their Eigenvalue Spectrum

    C. W. Gear;Ioannis G. Kevrekidis

  • A kernel-based method for data-driven koopman spectral analysis

    Matthew O. Williams;Clarence W. Rowley;Ioannis G. Kevrekidis

  • On the computation of inertial manifolds

    C. Foias;M. S. Jolly;I. G. Kevrekidis;George R Sell

  • Coarse molecular dynamics of a peptide fragment: Free energy, kinetics, and long-time dynamics computations

    Gerhard Hummer;Ioannis G. Kevrekidis

  • A classification scheme for chimera states.

    Felix P. Kemeth;Sindre W. Haugland;Lennart Schmidt;Ioannis G. Kevrekidis

  • 'Coarse' integration/bifurcation analysis via microscopic simulators: Micro-Galerkin methods

    C.W. Gear;Ioannis G. Kevrekidis;Constantinos Theodoropoulos

  • Bistability and oscillations in the Huang-Ferrell model of MAPK signaling.

    Liang Qiao;Robert B Nachbar;Ioannis G Kevrekidis;Stanislav Y Shvartsman

  • Analysis of drag and virtual mass forces in bubbly suspensions using an implicit formulation of the lattice Boltzmann method

    K. Sankaranarayanan;X. Shan;I. G. Kevrekidis;S. Sundaresan

  • Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck operators

    Boaz Nadler;Stephane Lafon;Ronald R. Coifman;Ioannis G. Kevrekidis

Frequent Co-Authors

Jay Burton Benziger
Jay Burton Benziger Princeton University
Panayotis G. Kevrekidis
Panayotis G. Kevrekidis University of Massachusetts Amherst
Charles William Gear
Charles William Gear Princeton University
Dirk Roose
Dirk Roose KU Leuven
Ronald R. Coifman
Ronald R. Coifman Yale University
Harm Hinrich Rotermund
Harm Hinrich Rotermund Dalhousie University
Sankaran Sundaresan
Sankaran Sundaresan Princeton University
Edriss S. Titi
Edriss S. Titi Texas A&M University
Markus Bär
Markus Bär Physikalisch-Technische Bundesanstalt
Gerhard Ertl
Gerhard Ertl Fritz Haber Institute of the Max Planck Society

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