Affiliation	Graduate School of Science and Technology ―Master course 2nd year
	Team	Applied Visualization
	Research theme	THEMIS：Context-Sensitive Similarity Analysis for Wound Imagery Using Mathematical Model of Meaning
	E-mail	yume.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 2022	M.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

Journal

1. Baoqing Wang, Yume Asayama, Malik Olivier Boussejra, Hideki Shojo, Noboru Adachi, Issei Fujishiro: “FORSETI: a visual analysis environment for authoring autopsy reports in extended legal medicine mark-up language,” The Visual Computer, (), 1-13 (Online First) [doi: 10.1007/s00371-021-02201-7].

International Conference

1. Yume Asayama, Baoqing Wang, Masanori Nakayama, Hideki Shohjoh, Noburu Adachi, Yasushi Kiyoki, Issei Fujishiro: “THEMIS: Context-sensitive similarity analysis for wound imagery using mathematical model of meaning,” in Proceedings of the 2021 International Conference on Cyberworlds, Caen, France, September 28―30, 2021 [doi: 10.1109/CW52790.2021.00028].
2. Baoqing Wang, Yume Asayama, Issei Fujishiro: “FORSETI and THEMIS: visual analysis environment for computational forensics,” The 4th China-Japan Joint Visualization Workshop, Wuhan, China, online, July 24th, 2021.
3. Issei Fujishiro, Baoqing Wang, Yume Asayama, Malik Olivier Boussejra, Hideki Shojo, Noboru Adachi: “FORSETI: a visual analysis environment for authoring autopsy reports in extended legal medicine mark-up language,” invited by the Workshop in Memory of Professor Kunii  in conjunction with CGI 2021, online, September 6, 2021 [Link].

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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