Profile Information

Affiliation
PhD Student, Computer Science and Operations Research, Université de Montréal
PhD Student, Mila (Quebec Artificial Intelligence Institute)
Degree
Master (Engineering)(Tokyo Institute of Technology)
学士(工学)(東京工業大学)

ORCID ID
 https://orcid.org/0000-0002-4595-8381
J-GLOBAL ID
201901008501473681
researchmap Member ID
B000362695

External link

Incoming Ph.D. student in Computer Science at Université de Montréal, Mila - Quebec Artificial Intelligence Institute from fall 2020. My research area is High-Performance Computing. I also specialize in Deep Learning Theory and have internship experience at RIKEN AIP Deep Learning Theory Team. My research interests center around large scale parallelization in machine learning and understanding training dynamics of deep neural network.


Papers

  10

Misc.

  9

Presentations

  19

Works

  3
  • Hiroki Naganuma, Riku Arakawa (The, iversity of Tokyo, Masayuki Teramoto, Osaka University, Eitaro Yamatsuta, Osaka University, Yudai Ushiro, Waseda University, Minatsu Sugimoto, sity of Tsukub
    Oct, 2017 - Dec, 2018 Artistic work
  • Hiroki Naganuma, Masafumi Harada, Takayuki Fukusawa, Kazuyoshi Fukutani, Osao Hori, Keiko Yamamoto, Toshiya Yui
    Jun, 2018 - Oct, 2018 Artistic work
  • Walky 
    Hiroki Naganuma, Kentaro, Yamazaki, Shunsuke Sasaki, Shun Iwase, Keisuke Okumura
    Oct, 2016 - Mar, 2018 Other

Research Projects

  2

Other

  12
  • Jun, 2020 - Jul, 2020
    I attended MLSS 2020 in Tübingen, Germany which is the most mainstream summer schools on machine learning. http://mlss.tuebingen.mpg.de/2020/
  • Dec, 2019 - Dec, 2019
    At the 78th Artificial Intelligence Seminar AI Trends and Top Conferences debriefing session (NeurIPS2019), I published a slide titled "Trends in Deep Learning Theory at NeurIPS 2019". https://www.ai-gakkai.or.jp/no78_jsai_seminar_online/
  • Jul, 2019 - Jul, 2019
    Host: RIKEN Center for Computational Science Places: RIKEN Center for Computational Science and Integrated Research Center, Kobe University mentor: Ilya Zhukov (Jülich Supercomputing Centre)
  • Mar, 2019 - Mar, 2019
    This program is made available as part of the Global Scientists and Engineers Course. Students can earn course credit by participating in this program. Set up with the main purpose of providing students with leadership training offered at Georgia Institute of Technology, the program will include lectures, workshops, and joint activities with local students.
  • Mar, 2018 - Mar, 2018
    Host: Education Center on Computational Science and Engineering, Kobe University Place: Kobe Campus for Information Science, University of Hyogo
  • Oct, 2017 - Oct, 2017
    Health++ is a two-day event that will bring together 300 engineers, designers, business experts, and healthcare professionals for a weekend of ideating, designing, and building for affordability in healthcare both domestically and globally. We won the 3rd Prize.
  • May, 2017 - May, 2017
    I presented the opening and finale at the TEDxUTokyo 2017. I developed a system which generates images which are linked with Facebook in real-time and projected at TEDxUTokyo. In detail, I performed real-time analysis of large-scale data and developed interactive content linked with Facebook.
  • Nov, 2016 - Nov, 2016
    I was selected for the first Japanese for the undergraduate program at SC16, the top conference of the High-Performance Computing (HPC) Through the SC, I was able to participate with support from the US government for travel expenses, accommodation expenses, and conference participation expenses.
  • Mar, 2016 - Mar, 2016
    I participated in the Silicon Valley Workshop with the support of Recruit Holdings and stayed in San Francisco and Silicon Valley for 10 days. I took some lectures at Stanford University and toured IT-related companies around Palo Alto.
  • Oct, 2015 - Oct, 2015
    At the Musashino Art University Art Festival, I conducted projection mapping planning (interactive planning) as a leader and engineer. Additionally, I won the First Prize in the 2025 Japan World Expo Committee Creative Competition Digital Creative Department.
  • Apr, 2013 - Apr, 2013
    The Global Scientists and Engineers Course (GSEC) provides a systematic curriculum that enables bachelor’s and master’s degree students to develop the necessary competencies to excel in the global arena. Through step-by-step approach, students will be able to gain global competencies as follows ; (a) a global mindset, (b) practical skills to work in global environment, and (c) skills necessary for international collaboration. The aims of GSEC are to foster scientists and engineers who thrive in a global society and have the expertise to contribute innovative solutions to unknown global issues. Through GSEC, it is hoped that ones will be equipped with identity based on their field of expertise/knowledge/technical skills, as well as global mindset to respect ethical values and diversity.