Annual Conference on Genetic and Evolutionary Computation · 2024
Cited
1
Resume (English only)
Academic Achievements
Published multiple papers in prominent conferences including AAAI, CIKM, GECCO, ICML, etc. His research has been nominated for the Best Paper Award in the ENUM Track at GECCO 2022, 2023, and 2025.
Research Experience
Engineer at CyberAgent from Apr 2017 to May 2018; Specially Appointed Researcher at AIST (National Institute of Advanced Industrial Science and Technology) from Jul 2019 to Feb 2020; Research Scientist at CyberAgent from Jun 2018 to Mar 2025; Assistant Professor at Institute of Science Tokyo since Apr 2025.
Education
B.S. in Engineering from Nagoya Institute of Technology in 2015; M.S. in Computational Intelligence and Systems Science from Tokyo Institute of Technology in 2017; Ph.D. in Computer Science from Institute of Science Tokyo in 2025.
Background
Research Interest: Black-Box Optimization, Evolution Strategies (esp. CMA-ES), Machine Learning. Brief Introduction: Masahiro Nomura is a researcher focusing on evolutionary algorithms and machine learning.
Miscellany
Personal Links: Google Scholar: https://scholar.google.fr/citations?user=dml10nwAAAAJ&hl=en, GitHub: https://github.com/nomuramasahir0