Jiang Kan

Jiang Kan is a Lecturer at the Department of Computer Science, National University of Singapore. He earned his Ph.D. in Computer Science from NUS in 2023, following an MComp (2017) and B.Sc. (1994) from NUS and Shanghai Jiao Tong University respectively. His teaching portfolio includes courses like Introduction to Computing, Introduction to Programming, Database Systems and Management, and Systems Programming.

• Education:
  • Ph.D., Computer Science, National University of Singapore, 2023
  • M.Comp., National University of Singapore, 2017
  • B.Sc., Shanghai Jiao Tong University, 1994

Research Focus: Jiang Kan specializes in sports analytics, integrating computer vision and probabilistic modeling to analyze sports strategies, player dynamics, and broadcasting data. His work includes tennis and soccer strategy analysis, event recognition in sports videos, and injury prediction models.

Publication Trends: Recent articles (2023-2025) explore hybrid approaches combining deep learning with probabilistic model checking for sports analytics. Key contributions include automated court detection, fine-grained event analysis, and dynamic team strategy modeling in tennis and soccer.

Teaching: He teaches foundational and advanced courses in programming, computer organization, software engineering, and databases to both full-time and part-time students.