Academy professor Guoying Zhao elevated IEEE Fellow
Guoying Zhao´s research interests are image and video description, affective computing, machine learning and emotional artificial intelligence. All the research topics are widely relevant in digitizing world. For example, emotion AI includes the recognition and analysis of facial (micro)-expressions, emotional (micro)-gestures and for non-typical emotions, which are directly related with emotion understanding and can facilitate education, psychotherapy, remote services, and autonomous driving, to mention a few.
“We are now focus on emotion AI and data integrity which are two important aspects in next generation of human-centered computing, one for emotional interaction and the other for data and methods’ security, Zhao describes the research and continues:
“IEEE Fellowship is a great honor for me. Thanks my previous and current master and doctoral students, postdoctoral researchers, visitors and collaborators from different disinclines. It is a highly accepted and world-wide recognition of our pioneering research, especially on dynamic facial expression and spontaneous facial micro-expression, and influential work for image and video feature representation, performed in CMVS, University of Oulu.”
The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The total number selected in any one year cannot exceed one-tenth of one- per cent (0.1%) of the total voting membership. IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement. Guoying Zhao is the sixth University of Oulu alumnus receiving the recognition.
“My special acknowledgement goes to professor Matthew Turk, my nominator, for his encouragement and long term support. Also to professor Matti Pietikäinen, the founder of Machine Vision Group, and great advisor for inviting me here in 2005, for guiding and collaborating for impactful research starting from spatial-temporal local binary pattern descriptors in past 10+ years. And to professor Olli Silvén and the colleagues in international CMVS, for the open-minded and inspiring environment. Finally, I would like to acknowledge my previous supervisors professor Xinyuan Huang and professor Hua Li for master and doctoral studies, where I was rooted to learn how to do research and further my career in academia.”
The IEEE is the world’s leading professional association for advancing technology for humanity. Through its 400,000 plus members in 160 countries, the association is a leading authority on a wide variety of areas ranging from aerospace systems, computers and telecommunications to biomedical engineering, electric power and consumer electronics. Dedicated to the advancement of technology, the IEEE publishes 30 percent of the world’s literature in the electrical and electronics engineering and computer science fields, and has developed more than 1300 active industry standards. The association also sponsors or co-sponsors nearly 1700 international technical conferences each year.
Guoying Zhao is originally from China. She studied computer sciences and technology and gained PhD degree from the Institute of Computing Technology, Chinese Academy of Sciences. Since 2005 she has been in Finland working at the University of Oulu.