About me

Wataru Kawabe (川辺 航) is a third-year doctoral student at The University of Tokyo, supervised by Assoc.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

• We are presenting a poster at SIGGRAPH Asia 2024.
• We are now recruiting SVs for ETRA2025! Please complete the Google form to submit your application!
• We published a paper on text-based image generation in IEEE Access.

Education

• Ph.D. in Information Science and Technology, The University of Tokyo, Apr. 2022 - Mar. 2025 (expected)
  Supervisor: Assoc.Prof. Yusuke Sugano
• M.S. in Information Science and Technology, The University of Tokyo, Apr. 2020 - Mar. 2022
  Supervisor: Assoc.Prof. Yusuke Sugano
• B.Eng, Department of Systems Innovation, 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.

Events

• A workshop in Miraikan (The National Museum of Emerging Science and Innovation, Japan), Dec. 2024
  This event is a workshop using xMod and an LLM-based training strategy.

• A workshop in VIVISTOP Kanazawa, Aug. 2024
  This event is an ideation workshop for children using a tangible machine learning device.

• A workshop in Miraikan (The National Museum of Emerging Science and Innovation, Japan), Jun. 2024
  This event is a workshop using the same interactive system as the one in March.

• A workshop in Miraikan (The National Museum of Emerging Science and Innovation, Japan), Mar. 2024
  This event is a workshop using a tangible 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

Talks

• Green Transformation (GX) in The University of Tokyo, Apr. 2024
  I participated in research introductions and roundtable-style interviews.

• Lab Encounter with CUDANLab, Tallinn University, Apr. 2024
  Lab members including me gave a presentation about published topics.

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