World's Best Scientists 2026 revealed!

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Computer Science

D-Index
71
Citations
24192
World Ranking
1757
National Ranking
894

Research.com Recognitions

  • 2020 - Evolutionary Computation Pioneer Award, IEEE Computational Intelligence Society
  • 2016 - IEEE Fellow For contributions to neural and evolutionary computation

Overview

Risto Miikkulainen is affiliated with The University of Texas at Austin in the United States. The primary field of study for their research is Computer Science, with a focus on Artificial Intelligence alongside related subfields such as Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, and Developmental and Educational Psychology.

Their work spans a range of topics within AI and machine learning, including Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research, Reinforcement Learning in Robotics, Machine Learning and Data Classification, Neural Networks and Applications, Artificial Intelligence in Games, and Adversarial Robustness in Machine Learning.

Among recent academic papers authored or co-authored by Risto Miikkulainen are:

  • "Biological underpinnings for lifelong learning machines," 2022, published in Nature Machine Intelligence
  • "The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities," 2020, published in Artificial Life
  • "A biological perspective on evolutionary computation," 2021, published in Nature Machine Intelligence
  • "From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic," 2021, published in PubMed Central
  • "Predicting language treatment response in bilingual aphasia using neural network-based patient models," 2021, published in Scientific Reports

Frequent co-authors collaborating with Risto Miikkulainen include Babak Hodjat, Hormoz Shahrzad, Elliot Meyerson, Olivier Francon, and Xin Qiu.

Their research has been published extensively in venues such as arXiv (Cornell University), the Proceedings of the Genetic and Evolutionary Computation Conference Companion, the Proceedings of the Genetic and Evolutionary Computation Conference, Nature Machine Intelligence, and Artificial Life.

Awards recognizing their contributions include the Evolutionary Computation Pioneer Award from the IEEE Computational Intelligence Society in 2020 and an IEEE Fellow distinction awarded in 2016 for contributions to neural and evolutionary computation.

Best Publications

  • Evolving neural networks through augmenting topologies

    Kenneth O. Stanley;Risto Miikkulainen

  • Evolving Deep Neural Networks

    Risto Miikkulainen;Jason Zhi Liang;Elliot Meyerson;Aditya Rawal

  • Intrusion Detection with Neural Networks

    Jake Ryan;Meng-Jang Lin;Risto Miikkulainen

  • Designing neural networks through neuroevolution

    Kenneth O. Stanley;Kenneth O. Stanley;Jeff Clune;Jeff Clune;Joel Lehman;Risto Miikkulainen

  • A Taxonomy for artificial embryogeny

    Kenneth O. Stanley;Risto Miikkulainen

  • Competitive coevolution through evolutionary complexification

    Kenneth O. Stanley;Risto Miikkulainen

  • Real-time neuroevolution in the NERO video game

    K.O. Stanley;B.D. Bryant;R. Miikkulainen

  • Subsymbolic Natural Language Processing: An Integrated Model of Scripts, Lexicon, and Memory

    Risto Miikkulainen

  • Forming neural networks through efficient and adaptive coevolution

    David E. Moriarty;Risto Miikkulainen

  • Computational Maps in the Visual Cortex

    Risto Miikkulainen;James A. Bednar;Yoonsuck Choe;Joseph Sirosh

  • Efficient Reinforcement Learning Through Evolving Neural Network Topologies

    Kenneth O. Stanley;Risto Miikkulainen

  • Accelerated Neural Evolution through Cooperatively Coevolved Synapses

    Faustino Gomez;Jürgen Schmidhuber;Jürgen Schmidhuber;Risto Miikkulainen

  • Solving Non-Markovian Control Tasks with Neuro-Evolution

    Faustino J. Gomez;Risto Miikkulainen

  • Natural Language Processing With Modular PDP Networks And Distributed Lexicon

    Risto P Miikkulainen;Michael G. Dyer

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

    Joel Lehman;Jeff Clune;Dusan Misevic;Christoph Adami

  • Efficient evolution of neural networks through complexification

    Kenneth Owen Stanley;Risto P. Miikkulainen

  • A Neuroevolution Approach to General Atari Game Playing

    Matthew Hausknecht;Joel Lehman;Risto Miikkulainen;Peter Stone

  • Robust non-linear control through neuroevolution

    Faustino John Gomez;Risto Miikkulainen

  • Incremental grid growing: encoding high-dimensional structure into a two-dimensional feature map

    J. Blackmore;R. Miikkulainen

  • Systems and methods for adaptive medical decision support

    Risto Miikkulainen;Michael D. Dahlin;Randolph P. Lipscher

  • The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

    Joel Lehman;Jeff Clune;Dusan Misevic;Christoph Adami

Frequent Co-Authors

Kenneth O. Stanley
Kenneth O. Stanley University of Central Florida
Peter Stone
Peter Stone The University of Texas at Austin
Swathi Kiran
Swathi Kiran Boston University
Benjamin Kuipers
Benjamin Kuipers University of Michigan–Ann Arbor
Jeff Clune
Jeff Clune University of British Columbia
Shimon Whiteson
Shimon Whiteson University of Oxford
Jürgen Schmidhuber
Jürgen Schmidhuber King Abdullah University of Science and Technology
Hod Lipson
Hod Lipson Columbia University
Clifford D. Saron
Clifford D. Saron University of California, Davis

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