معرفی
Tengfei SHAO is an Assistant Professor (non-tenure-track) at Waseda University's Global Education Center and Researcher at the Institute of Data Science. His academic journey includes a Doctorate in Engineering from Waseda University's School of Creative Science and Engineering, completed in March 2025.
- 2022.04 - 2025.03: Doctorate at Waseda University, School of Creative Science and Engineering, Management Systems Program
- 2020.04 - 2022.03: Master's studies at Waseda University
Dr. SHAO's research centers on network science applications across diverse domains. His primary interests include Complex Systems, Network Analysis, and Social Systems Engineering, with particular focus on second-hand luxury market dynamics, AI ethics education, and sentiment analysis. His work frequently employs network motifs as analytical tools to uncover hidden patterns in consumer behavior, market trends, and social interactions. He has developed innovative approaches to analyzing e-commerce versus brick-and-mortar retail environments, particularly in the luxury goods sector.
His publication record reveals a consistent trajectory of interdisciplinary research spanning computer science, economics, and social sciences. His most recent work integrates multimodal learning with sentiment analysis, medical image segmentation techniques, and advanced network analysis methodologies. The trend shows increasing sophistication in applying network science to real-world business problems, particularly in the luxury market sector.
- Association for Computing Machinery (ACM) member since 2024
- Institute of Electrical and Electronics Engineers (IEEE) member since 2024
- 計測自動制御学会 (SICE) member since 2022, serving on Social Systems Committee since 2024
- 人工知能学会 (JSAI) member since 2022
- 電子情報通信学会 (IEICE) member since 2022
- 情報処理学会 (IPSJ) member since 2020
At Waseda University's Global Education Center, Dr. SHAO teaches multiple programming courses including Basic AI Programming, Introduction to Python Programming, Database Management, and Fundamentals of Information Science across different quarters. His teaching portfolio demonstrates expertise in foundational computer science education for international students. His research methodology consistently applies network science principles to diverse domains, creating bridges between technical analysis and practical business applications, particularly in understanding consumer behavior in digital marketplaces.