About me

Wataru Kawabe (川辺 航) is a third-year doctoral student at The University of Tokyo, supervised by Prof. Yusuke Sugano. His interest lies in interactive machine learning systems and human-centered machine-learning applications. He is especially focused on exploring ways to make AI and other information technologies more accessible and user-friendly for beginners who lack a technical background or knowledge.

News

• A paper on output format in ML prototyping was published in Journal of Information Processing.
• A paper on user analysis at a science museum was published in Interacting with Computers.
• We presented a work related with 3D scanning at SIGGRAPH Asia, Dec. 2023

Education

• Doctor in Computer Science, The University of Tokyo, Apr. 2022 - Mar. 2025 (expected)
  Supervisor: Prof. Yusuke Sugano
• Master in Computer Science, The University of Tokyo, Apr. 2020 - Mar. 2022
  Supervisor: Prof. Yusuke Sugano
• Bachelor in Engineering, The University of Tokyo, Apr. 2015 - Mar. 2020
  Supervisor: Prof. Kazuhiro Aoyama

Experience

• Singapore Management University, May 2023 - Nov. 2023
  Visiting Postgraduate Research Student

• Preferred Networks, Oct. 2022 - Mar. 2023
  Project Engineer

• Preferred Networks, Aug. 2022 - Sep. 2022
  Research Intern

• SPRING GX, Apr. 2022 - Mar. 2025
  Member

• AIP Challenge, Apr. 2022 - Mar. 2023
  Member

• Ghelia Inc., Apr. 2020 - Mar. 2021
  Machine Learning Engineer

Research

Please check my projects page.

Talks & Events

• A workshop in Miraikan (The National Museum of Emerging Science and Innovation, Japan), Mar. 2024
  This event is a workshop using a tangibles interactive machine learning system that uses sound as input and motion as output.

• A workshop in Miraikan (The National Museum of Emerging Science and Innovation, Japan), Jul. 2022
  The event allowed Miraikan visitors to easily try out interactive machine learning systems on the spot.
  Video of this event

• A presentation in Graduate Student Forum, The University of Tokyo, Mar. 2022
  This talk is about end-user involvement with interactive machine learning systems.