Baoqing WANG

as of July 2020

Affiliation Graduate School of Science and Technology
―Doctor course 2nd year
TeamApplied Visualization
Research themeComputional Forensics
E-mailwangbaoqingkeio.jp
Website

Self-introduction

I am currently a Ph.D. Candidate in the Graduate School of Science and Technology at Keio University under the supervisor of Prof. Issei Fujishiro. My research topic is concerned with Computational Forensics, which requires a wide spectrum of biomedical visualization, encompassing from corpse analysis (medicalvis) to genomic analysis (biovis).

Education

April 2019 – presentPh.D. in Information and Computer Science, Graduate School of Science and Technology, Keio University
September 2016 – March 2019M.E. in Mechanical Engineering, School of Mechanical Engineering, Tianjin University of Technology
September 2012 – July 2016B.E. in Mechanical Engineering, Tianjin University of Technology

Publications

Journals

  1. Baoqing Wang, Lu Yang, Nian Tang, Zhenzhong Liu, Haibo Zhou: “Design of Open CNC Motion Control System Based on PC104 Main Controller,” Heavy Machinery, No.3, pp. 62―66, June. 2018 [link]
  2. Lu Yang, Baoqing Wang, Ronghui Zhang, Haibo Zhou, Rongben Wang: “Analysis on Location Accuracy for the Binocular Stereo Vision System,” IEEE Photonics Journal, Vol. 10, No. 1, pp. 1―16, February 2018 [doi: 10.1109/JPHOT.2017.2784958].

    Domestic conferences

    1. 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, year (in Japanese).

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