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Leading Artificial Intelligence Research

Prof. YANG Qiang Named a Fellow of Canadian Academy of Engineering

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Prof. Yang Qiang was elected a Fellow of the Canadian Academy of Engineering for his significant  contributions in the engineering practice of large-scale artificial-intelligence and data-mining solutions.
Prof. Yang Qiang was elected a Fellow of the Canadian Academy of Engineering for his significant contributions in the engineering practice of large-scale artificial-intelligence and data-mining solutions. [Download Photo]
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Prof. YANG Qiang, Chair Professor of Computer Science and Engineering, was recently elected a Fellow of the Canadian Academy of Engineering (CAE) at its Annual General Meeting hosted online on June 14, 2021. The induction ceremony, which will honor both the 2020 and 2021 elected Fellows, will be held in October this year virtually.

Prof. Yang is an international leader in the engineering practice of large-scale artificial-intelligence and data-mining solutions. He leads in the area of transfer learning and federated learning to tackle small data, data silos, user privacy, and data security problems in practice. He has developed open-source and industrial-strength systems for inclusive finance, health, and e-commerce applications for millions of users and businesses worldwide. His work has brought deep impact and advanced the state of the knowledge in the respective fields.

Prof. Yang pursued his PhD studies in Computer Science from the University of Maryland. Formerly the Head of the Department of Computer Science and Engineering, he was the Founding Director of HKUST Big Data Institute and WeChat-HKUST Joint Laboratory on Artificial Intelligence Technology. He is a Fellow of the Association for Computing Machinery (ACM), Institute of Electrical and Electronics Engineers (IEEE), Association for the Advancement of Artificial Intelligence (AAAI), American Association for the Advancement of Science (AAAS), International Association for Pattern Recognition (IAPR), and Chinese Association for Artificial Intelligence (CAAI).

Established in 1987, CAE is an independent, self-governing, and non-profit organization to serve Canada in matters of engineering concern. Fellows of the CAE are nominated and elected by their peers, in view of their distinguished achievements and career-long service to the engineering profession. They provide engineering leadership in the fields of education, infrastructure, innovation, energy, transportation, and many more.

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