Yume ASAYAMA

as of April 2021

Affiliation Graduate School of Science and Technology
―Master course 2nd year
TeamApplied Visualization
Research themeTHEMIS:Context-Sensitive Similarity Analysis for Wound Imagery Using Mathematical Model of Meaning
E-mailyume.asayamafj.ics.keio.ac.jp
Website

Self-introduction

At KEIO TECHNO-MALL2017, I encountered Computational Forensics and knew the potential of it, and wished to belong to our laboratory. Everyday I study Forensics which is not involved in normal life.  

 My favorite hobby is comedy appreciation. So I often go to see it in the theater at Shibuya or Shinjuku.

Education

April 2020 – March 2022M.E. in Information and Computer Science, Graduate School of Science and Technology, Keio University
April 2015 – March 2020 B.E. in Information and Computer Science, Keio University

Publications

Domestic Conference

  1. Yume Asayama, Baoqing Wang, Masanori Nakayama, Hideki Shojo, Noboru Adachi, Yasushi Kiyoki, Issei Fujishiro: “Visual analysis of wound similarity using mathematical model of meaning,” in Proceedings of the 48th Symposium on Visualization in Japan, Online,  September 24―26, 2020(in Japanese).
  2. Yume Asayama, Baoqing Wang, Malik Olivier Boussejra, Masanori Nakayama, Hideki Shojo, Noboru Adachi, Yasushi Kiyoki, Issei Fujishiro: “Visual analysis of wound similarity using mathematical model of meaning,” in Proceedings of the 82th National Convention of International Processing Society of Japan, Vol. 2, pp. 155―156, Kanazawa Institute of Technology, Ishikawa, March 5―7, 2019 (in Japanese).

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