Rchr
J-GLOBAL ID:201701014108151562   Update date: Nov. 19, 2023

Nishida Jun

Nishida Jun
Affiliation and department:
Homepage URL  (1): http://junnishida.net
Research field  (4): Experimental psychology ,  Biomedical engineering ,  Robotics and intelligent systems ,  Human interfaces and interactions
Research keywords  (13): Exoskeleton ,  Somatosensory Perception ,  Spatial Perception ,  EMS ,  Human Interface ,  Artificial Intelligence ,  Biomedical Engineering ,  Embodiment ,  Assistive Devices ,  Virtual Reality ,  Human Informatics ,  Interaction ,  HCI
Research theme for competitive and other funds  (3):
  • 2019 - 2021 Technologies for Blending Embodiment by Cyborg Interface Device
  • 2014 - 2019 人の身体認知特性の理解に基づくサイボーグ型インタフェースの研究
  • 2017 - 2018 Empowering People by Wearable Technologies that Maximize Human's Physical and Cognitive Capabilities
Papers (20):
MISC (9):
Education (2):
  • 2014 - 2019 University of Tsukuba School of Integrative and Global Majors PhD Program of Empowerment Informatics
  • 2010 - 2014 University of Tsukuba School of Science and Engineering College of Engineering Systems
Work history (7):
  • 2023/11 - 現在 University of Maryland, College Park Department of Computer Science Assistant Professor
  • 2022/07 - 2023/09 Sony Computer Science Laboratories Visiting Researcher
  • 2019/04 - 2022/07 University of Chicago Department of Computer Science Postdoctoral Fellow
  • 2019/04 - 2021/09 Japan Society for the Promotion of Science Research Fellow
  • 2019/01 - 2019/03 Sony Computer Science Laboratories, Inc. Research Assistant
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Awards (47):
  • 2020/12 - University of Chicago Suzuki Postdoctoral Fellowship Award
  • 2020/10 - ACM UIST 2020 Best Paper Award
  • 2020/04 - Laval Virtual Laval Virtual Award: VR/AR for Safety and Improvement of Work Environment
  • 2019/09 - Virtual Reality Society of Japan Best Journal Award
  • 2019/08 - Information Processing Society of Japan Nominated PhD Thesis Award
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Association Membership(s) (3):
IEEE ,  ACM ,  THE VIRTUAL REALITY SOCIETY OF JAPAN
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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