Fellow Researchers Profile



Research Fellow


  • Data Science, Network, Ubiquitous Computing, Deep Learning



2020.12-2023.02 Reseach Assistant, National Informatics Institute
2018.04-2019.03 Part-time Lecturer, Aoyama Gakuin University
2017.04-2020.03 Reseach Assistant, The University of Tokyo
2015.04-2017.03 Reseach Assistant, Tokyo Denki University


  • Tomoki Yokota, Ryoma Kondo and Masayuki Iwai, “A Proposal for a Simple Mobile Sweating Sensing Method Using a Humidity Sensor,” Journal of the Meteorological Society of Japan, vol. 53, no. 3, p.10, Nov. 2016.
  • Naoya Shibahara, Ryoma Kondo and Masayuki Iwai, “MM360: A GPS-assisted 360-degree video sharing system for participatory events,” IEEE International Conference on Big Data, Boston, MA, USA, Dec. 2017
  • Ryoma Kondo, Masaki Ito, Wataru Kobayashi, Masayuki Iwai and Hiroyuki Morikawa, “XRAIN WebDB System Providing Flexible and Fast Access to Big Streaming Data of Precipitation,” Institute of Electronics, Information and Communication Engineers Transactions on Information and Systems, vol. 101, no. 4, pp.669-680, Apr. 2018
  • Tomoki Yokota, Ryoma Kondo, Shinichi Watanabe, Hiroyuki Morikawa, Masayuki Iwai, “UV-Cube: An Erythemal Ultraviolet Radiation Sensing System from Multiple Directions,” Journal of Information Processing, vol. 59, no. 10,pp.1794-1801, Oct. 2018.
  • Ryoma Kondo, Yoshiaki Narusue and Hiroyuki Morikawa, “A Pluvial Flood Nowcasting Approach using Knowledge Distillation,” IEEE Global Conference on Consumer Electronics, Kobe, Japan, Oct. 2020.
  • Ryoma Kondo, Bojian Du, Yoshiaki Narusue and Hiroyuki Morikawa, “Prioritized Sampling on Knowledge Distillation for Nowcasting Pluvial Flood Prediction,” IEEE International Conference on Big Data, Orlando, Florida, USA, Dec. 2021.
  • Ilan Correa, Ailton Oliveira, Bojian Du, Cleverson Nahum, Daisuke Kobuchi, Felipe Bastos, Hirofumi Ohzeki, Joao Borges, Mohit Mehta, Pedro Batista, Ryoma Kondo, Sundesh Gupta, Vimal Bhatia, Aldebaro Klautau, “Simultaneous beam selection and users scheduling evaluation in a virtual world with reinforcement learning,” ITU Journal on Future and Evolving Technologies, Vol. 3, no. 2, pp.202-213, Sep. 2022.
  • Ryoma Kondo, Takahiro Yoshida and Ryohei Hisano, “Masked prediction and interdependence network of the law using data from large-scale Japanese court judgments,” Artificial Intelligence and Law (2022), pp.1-33, Oct. 2022.
  • Ryohei Hisano, Tatsuya Nagasawa, Shu Takahashi, Ryoma Kondo, Takaaki Ohnishi, “Analysis of Bank Transfer Networks focusing on Inherent Structures and Changes,” Artificial Interigence, vol. 38, no. 2, pp.131-138, Mar. 2023.
  • Ryoma Kondo, Bojian Du, Yoshiaki Narusue, Hiroyuki Morikawa, “Machine Learning Framework Supervised by Hydraulic Mechanical Models for Real-time Pluvial Flood Prediction,” Journal of Information Processing, 2023, Early Access.


  • The 1st Wireless Power Qi Contest Special Award,2015.10
  • IEICE and IPSJ WebDB Forum 2016 Yahoo Prize,2016.9
  • Asia-Pacific Microwave Conference Student and Young Engineer Design Competitions First Prize,2018.11
  • The 1st ITU AI/ML in 5G Challenge 2020 Global Round Best Performance Award,2020.12
  • The 2nd ITU AI/ML in 5G Challenge 2021 Mentors Encouragement Award,2021.12
  • The 3rd ITU AI/ML in 5G Challenge 2022 Honorable Mention Award,2022.12
  • Mitsubishi Electoronics MelDIR Contest Excellence Award,2023.3