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 StudentPreferred Networks, Oct. 2022 - Mar. 2023
Project EngineerPreferred Networks, Aug. 2022 - Sep. 2022
Research InternSPRING GX, Apr. 2022 - Mar. 2025
MemberAIP Challenge, Apr. 2022 - Mar. 2023
MemberGhelia Inc., Apr. 2020 - Mar. 2021
Machine Learning EngineerUTokyo Spring Founders Program, Mar. 2019
Member
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.