연구분야

인공지능과 뇌의 작동 메커니즘 비교 / 불확실성 하의 의사결정, 시각 기반 자율주행 등 / 인지계산뇌과학, 계산정신과학

경력

• 2025-현재

  Affiliated Faculty Member, New York University, USA

• 2024-현재

  Adjunct Professor, Graduate School of Data Science, KAIST, South Korea

• 2023-현재

  Assistant Professor, Department of Bio and Brain Engineering, KAIST, South Korea

• 2022-2023

  Lecturer (= Assistant Professor), Department of Biological and Experimental Psychology, Queen Mary University of London, UK

• 2019-2022

  Junior Research Fellow, Wolfson College, University of Cambridge, UK

• 2018-2022

  Research Associate, Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, UK

대외활동 수상 실적

• 우수윤리교수상, 2025

• 교수학습혁신상, 2025

• NeurIPS NeuroAI Top 3 Student Paper Award (교신 저자), 2024

• KAIST Q-Day 창의교육상, 2024

• Cosyne Presenters Travel Grant, 2020

• Excellent Poster, Korean Society for Computational Neuroscience, 2014

대표 연구실적

• 1. Kim Y, Kang YHR (2024), Predictive Learning Induces Probabilistic Cognitive Maps, NeurIPS NeuroAI Workshop (* Top 3 Student Paper Award)

• 2. Kang YHR, Wolpert DM, Lengyel M (2021), Spatial uncertainty and environmental geometry in navigation, Bernstein Conference Oral Presentation

• 3. Kang YHR, Löffler A, Jeurissen D, Zylberberg A, Wolpert DM, Shadlen MN (2021), Multiple decisions about one object involve parallel sensory acquisition but time-multiplexed evidence incorporation. eLife 10, e63721.

• 4. Kang YHR, Petzschner FH, Wolpert DM, and Shadlen MN (2017), Piercing of consciousness as a threshold crossing operation. Current Biology 27 (15). doi.org/10.1016/j.cub.2017.06.047

바빛사

• 

  [학과 교수 취재] 강형률 교수

  <강형률 교수> 이번 인터뷰는 새로이 바이오 및 뇌공학과에 부임하신 강형률 교수님과 진행해보았습니...

  2023-09-01