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The Canadian Academy of Engineering has added 13 new Chinese academicians, including Yang Qiang, Liu Xue, Zhang Dapeng and others

Latest update time:2021-06-15
    Reads:
Leifeng.com News: On June 14th local time, the official website of the Canadian Academy of Engineering announced 52 new academicians, including 50 academicians and 2 international academicians.
Among them, there are 13 Chinese academicians (including 1 international academician), including Yang Qiang, Chief Artificial Intelligence Officer of WeBank, Liu Xue, Professor of McGill University, Zhang Dapeng, Professor of the School of Data Science of the Chinese University of Hong Kong (Shenzhen), and Guo Song, Professor of the Hong Kong Polytechnic University, and other well-known scholars in the field of computer science.
In an official announcement, the Canadian Academy of Engineering stated: This appointment was announced by Yves Beauchamp, recognizing the excellent engineering practice capabilities of 52 outstanding talents, and looking forward to their continued sustainable contribution to the prosperity of the Canadian people based on their original contributions.
In addition, the official announcement also emphasized that the Canadian Academy of Engineering, founded in 1987, is an independent, autonomous non-profit organization. The selected candidates are nominated and elected by their peers. The main criteria are the candidates' outstanding achievements in research and long-term service in the engineering profession.
Fellow of the Canadian Academy of Engineering is an honorary title awarded by the Canadian federal government to experts and professors representing Canada's national level in the field of engineering. The Academy also serves as a national think tank and provides authoritative opinions on the establishment, review and research of national-level projects.

The following is a brief introduction of the selected candidates:

Yang Qiang

He is currently the Chief Artificial Intelligence Officer of WeBank, a Chair Professor at the Hong Kong University of Science and Technology, the Head of the Department of Computer Science and Engineering, and an IEEE/ACM Fellow. He is the first Chinese elected as an AAAI Fellow and the first Chinese AAAI Executive Committee Member. He is the initiator and leader of the field of "transfer learning" in the international artificial intelligence community, and one of the initiators and leaders of international "federated learning".

Professor Yang Qiang is also an internationally leading expert in large-scale artificial intelligence and data mining solution engineering practice, the initiator and leader of the field of "transfer learning" in the international artificial intelligence community, and one of the initiators and leader of international "federated learning".

He has developed open source systems for inclusive finance, health, and e-commerce applications for millions of users and businesses around the world. His work has had a profound impact on large-scale artificial intelligence and data mining engineering systems and applications, new standards, and open source software.

Leifeng.com: Professor Yang Qiang attended the GAIR 2016 Global Artificial Intelligence and Robotics Summit as a guest speaker, and later served as the chair of the GAIR 2017 program committee. He also gave a keynote speech at GAIR 2019 titled "The Latest Developments and Applications of Federated Learning."

This year, Professor Yang Qiang will continue to attend the GAIR 2021 Global Artificial Intelligence and Robotics Summit as the conference chairman, hosted by the Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Robotics Experts Association and organized by Leiphone.com.

Personal homepage: http://www.cs.ust.hk/~qyang/

Zhang Dapeng

Dapeng Zhang, Professor of the School of Data Science at the Chinese University of Hong Kong, Shenzhen, is recognized as a pioneer in biometric engineering. He has initiated and made profound contributions in multiple research areas, including palmprint authentication, and medical biometric sensors and systems.

He has been ranked as a Highly Cited Researcher in Engineering by Clarivate Analytics (formerly Thomson Reuters) for seven consecutive years (2014-2020). His H-index is 121, ranking him around 80th out of 1,000 scientists in the field of computer science/electronics internationally.

So far, he has published more than 20 monographs, more than 400 international journal papers and 40 US/Japan/Hong Kong/China patents. He is also a Fellow of the Royal Society of Canada, a Fellow of IAPR (International Association for Pattern Recognition), and a Lifetime Fellow of IEEE.

Leifeng.com: Professor Zhang Dapeng was a guest speaker at the GAIR 2019 Global Artificial Intelligence and Robotics Summit. He delivered a keynote speech titled "New Advances in Biometric Recognition - Commemorating 40 Years of Artificial Intelligence in China" at the main venue of the conference, "Special Session on 40 Years of Artificial Intelligence in China."

Personal homepage: http://www4.comp.polyu.edu.hk/~csdzhang/

Cheng Li

He is currently the Chief Professor of the Department of Mechanical Engineering at the Hong Kong Polytechnic University, a Fellow of the Acoustical Society of America, the Acoustical Society of China, the American Society of Mechanical Engineers, the Hong Kong Institution of Engineers, and the Hong Kong Acoustical Society. He is also the Chairman of the Hong Kong Society for Theoretical and Applied Mechanics, and a director of the International Society of Sound and Vibration and the International Society of Noise Control Engineering.

He mainly studies sound and vibration, wave manipulation and structural health monitoring, and has outstanding academic achievements in these fields. In addition to scientific research, he also has close cooperation and contact with the industry, and has made direct contributions to solving engineering problems in the industry.

In addition, he serves as the deputy editor-in-chief of Journal of Sound and Vibration, the deputy editor-in-chief of Journal of the Acoustical Society of America, Structural Health Monitoring, and serves on the editorial board of 6 other SCI journals.

Personal homepage: https://www.polyu.edu.hk/researchgrp/chengli/proflicheng.html

Fang Zhen

Currently a professor at Nanjing Agricultural University, he is a world-renowned expert in renewable energy and green technology, and the inventor of rapid hydrolysis technology. He has made significant contributions in the fields of biomass hydrolysis, biodiesel production, biofuel synthesis nanocatalysts, and hydrothermal processes.

As the founding editor of the Springer series Biofuels and Biorefineries, he is leading a Canadian editorial team to organize and assist authors in publishing a series of biomass-related books, making an outstanding contribution to achieving the goals of the United Nations Sustainable Development Plan.

Personal homepage: https://www.x-mol.com/university/faculty/188126

Guo Song

He is currently a professor in the Department of Computer Science at the Hong Kong Polytechnic University, a Yangtze River Scholar, an IEEE Fellow, and an ACM Distinguished Member. His main research directions are cloud computing, edge artificial intelligence, big data, and distributed systems. He has made outstanding contributions to academic research and industrial innovation. He has co-authored 4 books, co-edited 7 books, and published more than 500 papers in major journals and conferences. He has won many honors including the 2019 IEEE TCBD Best Conference Paper Award.

Personal homepage: http://www4.comp.polyu.edu.hk/~cssongguo/

Li Dongyang

He is currently a professor in the Department of Chemistry and Materials Engineering at the University of Alberta in Canada. His main research areas are wear, corrosion, surfaces and interfaces, and computational materials science. He is an internationally renowned expert in friction materials.

His interdisciplinary research and innovative material design methods have promoted the advancement of materials technology, had a significant impact on materials wear control, and improved the competitiveness of Canadian resource industries in the global fuel market. In addition, he has served on the editorial board of 12 international scientific and technological journals and received the 2020 MetSoc Outstanding Materials Scientist Award.

Personal homepage: https://apps.ualberta.ca/directory/person/dongyang

Pengfei Liu

He is currently a professor of marine fluid dynamics at the Faculty of Engineering at Newcastle University and director of the Marine Propulsion Research Laboratory. He has more than 40 years of research experience in the field of ship propulsion and is a renowned international expert in this field.

Personal homepage: https://www.ncl.ac.uk/engineering/staff/profile/pengfeiliu.html

Liu Xue

He is currently a professor at the School of Computer Science at McGill University, an IEEE Fellow, and Vice President of R&D at Samsung AI Center (Montreal).

He received his bachelor's and master's degrees from the Department of Mathematics and the Department of Automation from Tsinghua University in 1996 and 1999 respectively, and his doctorate from the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC) in 2006.

He is an internationally recognized expert in intelligent and autonomous computing. He has published more than 300 highly cited research papers in top journals and conferences. His main research areas include: AI/machine learning and its applications, big data, Internet and network technologies, Internet of Things, sustainability and smart energy systems, computer systems and networks. His inventions have been designed into real-world systems and have impacted the lives of tens of millions of people around the world. He received the 2017 MITACS Outstanding Leadership Award.

Personal homepage: https://www.cs.mcgill.ca/~xueliu/site/intro.html

Qiao Sun

Currently a professor in the Department of Mechanical and Manufacturing Engineering at the University of Calgary, she has made outstanding contributions in the fields of dynamic system modeling, control, and mechanical fault diagnosis. She has pushed the performance boundaries in terms of accuracy, speed, and reliability. As an educator, she is committed to creating an inclusive space for all learners; as an academic administrator, she is committed to building bridges, promoting understanding, and valuing differences to promote equity and diversity in engineering and society.

Personal homepage: https://schulich.ucalgary.ca/contacts/qiao-sun

mold

He is currently a physicist and chief research officer at the National Research Council of Canada's Advanced Electronics and Photonics Research Centre.

He received a Bachelor of Science and a Master of Science in Physics from Nanjing University, with Academician He Yue as his supervisor. He then received a Ph.D. in Semiconductor Engineering Physics from the University of Montreal, Canada, and a postdoctoral fellowship at the Swiss Federal Institute of Technology in Zurich.

He has conducted groundbreaking research in organic light-emitting diodes, optoelectronics, and printable electronics. His research focuses on discovering the connection between molecular structure, thin film morphology, and device performance. He has been working in this field for the past two decades and has become one of Canada's most influential research leaders in this field. His work has directly contributed to the formation and development of Canada's organic electronics and printed electronics industries.

Ruilin Yang

Ruilin Yang, Chief Researcher of Orica Limited, has been engaged in research in the field of explosives technology for a long time and has made great contributions to the theory and practice of blasting design. He received his bachelor's degree from Northeastern University in China and his doctorate from the University of Queensland in Australia.

He solved the long-standing problem of on-site sympathetic blasting and post-blast smoke in coal mines in the Powder River Basin and elsewhere in the world, greatly improving the safety, productivity and environmental impact of coal mine blasting. Several applied blasting theories and models he developed are widely used around the world and have had a transformative impact on the blasting industry. He works with Orica, the world's largest supplier of commercial explosives and innovative blasting systems, and currently serves as a principal investigator (the highest technical title). He is also on the editorial board of three prestigious international technical journals.

Yu Fei

Yu Fei, currently a professor at Carleton University, is an internationally recognized leader in mobile systems research. He has made pioneering contributions to research and development in this field through more than 600 highly cited papers and 28 granted patents. His mobility management algorithm has been adopted by mobile system standards.

His research interests include cybersecurity, connected and autonomous vehicles, artificial intelligence, blockchain, and wireless systems. He has received the 2019 IEEE TCGCC Best Journal Paper Award, the 2012 and 2021 Carleton Research Achievement Award, and the Best Paper Awards from IEEE ICNC 2018, VTC 2017 Spring, ICC 2014, Globecom 2012, IEEE/IFIP TrustCom 2009, and Int'l Conference on Networking 2005.

He is one of the top 1% of scholars with the highest citations in Web of Science and is an IEEE Fellow, IET Fellow, and EIC Fellow. He received his undergraduate degree from Carleton University in Canada and his doctorate from the University of British Columbia.

Personal homepage: https://www.csit.carleton.ca/~fyu/

Guo Wei (International Academician)

He is currently the president and distinguished professor of City University of Hong Kong. He is a member of the National Academy of Engineering of the United States, a foreign member of the Chinese Academy of Engineering, and a foreign member of the Russian Academy of Engineering. He took office as the current president and distinguished professor of City University of Hong Kong on May 14, 2008. He has served in the Network Planning Center of Bell Labs and Oak Ridge National Laboratory as an electronics and energy reliability expert.

As a pioneer in system reliability, Kuo has made fundamental contributions to the optimal reliability design of electronic and energy systems in environmental sustainability and published classic books. He has received the Baker Outstanding Research Award from the International Institute of Industrial Engineering (IIE), the IEEE Reliability Lifetime Achievement Award, the IEEE Millennium Medal, and the A Bonis Outstanding Achievement Award in Reliability Research from the American Society for Quality (ASQ).

Personal homepage: https://www.cityu.edu.hk/op/bio_en.htm

Reference Links:

https://cae-acg.ca/wp-content/uploads/2021/06/CAE-2021-News-release.pdf



END

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