Risto Miikkulainen
Risto Miikkulainen researches neural networks and evolutionary computation. He earned an engineering master’s degree in Helsinki in 1986 and a UCLA computer science PhD in 1990. With Kenneth O. Stanley, he developed NEAT, published in 2002. It evolves neural-network structures and weights, using speciation and gradual growth from small networks. His broader research includes adaptive decisions and neural models of language and vision. AAAI elected him a fellow in 2023 for neuroevolution techniques and applications.
- Now at
- University of Texas at Austin and Cognizant
- Works
- 463
- Citations
- 17,277
- h-index
- 58
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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1986–1990
Training in mathematics and computing
Miikkulainen received an engineering master’s degree from Helsinki University of Technology in 1986 and a computer science PhD from UCLA in 1990. His research also includes neural models of language, vision and adaptive behavior.
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2002
Evolving network structure
With Kenneth O. Stanley, he introduced NeuroEvolution of Augmenting Topologies, or NEAT. The method evolves network connections and weights together. It starts with small structures and adds complexity as evolution proceeds.
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2002
Protecting new structures
NEAT combines matching structures during crossover with speciation, which protects new structural changes while they develop. The paper tests the contributions through ablation studies on reinforcement-learning tasks.
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2023
Recognition for neuroevolution
AAAI elected Miikkulainen a fellow for contributions to neuroevolution techniques and applications. His research uses evolutionary methods for architectures and sequential decisions in robotics, games and artificial life, alongside cognitive-science and neuroscience models.
Sources and credits
Photo: www.cs.utexas.edu; Risto Miikkulainen profile photograph; creator not stated. License: Not stated by source. Source: cs.utexas.edu. Cropped to a square and resized. Ask us to remove or replace this photo.