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Prof. YANG Qiang

Prof. YANG Qiang

Chief Artificial Intelligence Officer (CAIO), Director of PolyU Academy for Artificial Intelligence (DoPAAI), Chair Professor of Artificial Intelligence

BSc, MSc, PhD

Biography

Professor Qiang Yang received his BSc. degree in Astrophysics from Peking University, MSc degree in Astrophysics, MSc in Computer Science and PhD in Computer Science at University of Maryland, USA.

Since joining PolyU on 1 April 2025, Professor Yang holds multiple roles, including Director of PolyU Academy of Artificial Intelligence, Chief Artificial Intelligence Officer of the University, and half-time Chair Professor of AI in the Department of Data Science and Artificial Intelligence.

He is a fellow of Canadian Academy of Engineering (CAE) and Royal Society of Canada (RSC) and a fellow of IEEE, ACM, AAAI, AAAS, IAPR and CAAI. He was the Founding Editor in Chief of the ACM Transactions on Intelligent Systems and Technology (ACM TIST) and of IEEE Transactions on Big Data (IEEE TBD).

Professional Qualifications

Fellow of Royal Society of Canada (RSC)
Fellow of Canadian Academy of Engineering (CAE)
Fellow of Association for the Advancement of Artificial Intelligence (AAAI)
Fellow of American Association for the Advancement of Science (AAAS)
Fellow of International Association of Pattern Recognition (IAPR)
Fellow of Institute of Electrical and Electronics Engineers (IEEE)
Fellow of Association of Computing Machinery (ACM)
Fellow of Chinese Association of Artificial Intelligence (CAAI)

Research Interests

  • Federated Learning
  • Federated Learning
  • Transfer Learning
  • Machine Learning
  • Planning and Data Mining in Artificial Intelligence

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