Risto Miikkulainen
Scholar

Risto Miikkulainen

Google Scholar ID: 2SmbjHAAAAAJ
Professor of Computer Science, University of Texas at Austin; VP of AI Research, Cognizant AI Lab
Neural NetworksEvolutionary ComputationArtificial IntelligenceMachine LearningCognitive
Citations & Impact
All-time
Citations
11,549
 
H-index
42
 
i10-index
146
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 2024: Fellow of the International Neural Network Society; Best Pathway to Impact Award, NeurIPS Climate Change Workshop
  • 2023: AAAI Fellow
  • 2020: IEEE CIS Evolutionary Computation Pioneer Award
  • 2017: Gabor Award (INNS); Outstanding Paper of the Decade Award (ISAL)
  • 2016: IEEE Fellow
  • 2015–2017: IEEE CIS Distinguished Lecturer
  • Best Paper Awards at GECCO (2002, 2003, 2005, 2007, 2008, 2014, 2015, 2017, 2020, 2022)
  • Best Paper Awards at CIG (2005, 2006, 2009, 2011)
  • Best Paper Award at CEC-2020
  • Deployed Application Award, AAAI/IAAI (2013, 2018)
  • Human Competitive Results Competition Silver (2022), Bronze (2005, 2017) at GECCO
  • BotPrize Award (Turing test for game bots), 2012
  • Honorable mention, Somerfield-Ziskind Research Award, Society of Biological Psychiatry, 2012
  • Winner, Annual Competition of Pseudo-Boolean SAT Solvers at SAT-2010 and SAT-2011
  • Authored books: 'Neuroevolution: Harnessing Creative Discovery of AI Model Design' and 'Computational Maps in the Visual Cortex'
  • Developed NERO machine learning game and interactive COVID-19 Intervention optimization demo
Research Experience
  • Professor of Computer Science at The University of Texas at Austin
  • VP of AI Research at Cognizant AI Lab
  • Leads the UTCS Neural Networks Research Group
  • Research areas: (1) Neuroevolution for sequential decision tasks in robotics, games, and artificial life; (2) Cognitive science models of NLP, memory, and learning related to disorders like schizophrenia and aphasia; (3) Computational neuroscience of visual cortex, episodic memory, and language processing
  • Teaches courses including CS378 Neuroevolution, CS394N Neural Networks, CS343 Artificial Intelligence, and CS395T Cognitive Science
Background
  • Professor of Computer Science at The University of Texas at Austin
  • VP of AI Research at Cognizant AI Lab
  • Director of the UTCS Neural Networks Research Group
  • Research focuses on neuroevolution methods and their applications in natural language processing and vision
  • Author of over 500 publications in these areas
Co-authors
0 total
Co-authors: 0 (list not available)