Topic: Combination of physics-based and data-driven modeling for nonlinear structural seismic response prediction
Period: 188 days (Oct. 12th, 2021 ~ Apr. 18th, 2022)
Responsibility:
Achievement:
Topic: International Trading Website Development
Period: 402 days (Feb. 20th, 2021 ~ Mar. 28th, 2022)
Responsibility:
Achievement:
Topic: pose estimation
Period: 44 days (Aug. 17th ~ Sept. 29th)
Responsibility:
Achievement:
Topic: Building Electric Design Internship
Period: 31 days (Aug. 1st ~ Aug. 31st)
Responsibility:
Achievement:
Human Activity Recognition (Python 5yrs)
[1] Jiahao Wen, Muhammad Alfian Amrizal, Toru Abe, Takuo Suganuma, A Flexible Recognition Method of Customer Activities in Retail Stores, 第23 回 画 像の認識・理解シンポジウム, IS1-1-14, 2020.08.03, Online.
[2] Jiahao Wen, Luis Guillen, Muhammad Alfian Amrizal, Toru Abe, Takuo Suganuma, An Event-Based Hierarchical Method for Customer Activity Recognition in Retail Stores, 15th International Symposium on Visual Computing, pp.263-275, 2020.10.05, Online.
[3] Jiahao Wen, Luis Guillen, Toru Abe, and Takuo Suganuma, “A hierarchy-based system for recognizing customer activity in retail environments,” Sensors, vol. 21, no. 14, 4712, 19 pages, 2021.07.09
Suganuma Abe Laboratory, Graduate School of Information Sciences, Tohoku University.
Supported by WISE Program for AI Electronics, Tohoku University.
Supported by PhD Students’ Pioneering Research Support Project, Tohoku University.
Effective Ph.D. Student committed to AI research and solid skills of Python. 5-year research experience about computer vision and pattern matching. Adept at applying programming skills to interdisciplinary research with faculty, students. Accepted by two scholarship program of Tohoku University. Excellent team worker with superb interpersonal skills.
2016/07 - 2016/08