On the morning of July 9th, Professor Zhao Yuliang from Northeastern University Qinhuangdao Branch was invited by the   School of Mechanical Engineering to give an academic report titled "From Perceptual Intelligence to Cognitive Intelligence." The meeting was hosted by Professor Ye Yunxia, the deputy dean of the School of Mechanical Engineering. Nearly one hundred  teachers and students from the School of Mechanical Engineering, School of Automotive Engineering, and School of Electrical   Engineering participated in the report.

Professor Zhao Yuliang began by discussing perceptual intelligence and has designed and applied numerous sensors, particu- larly in the area of wearable sensors for the human body. By integrating machine learning and deep learning, he achieved the abili-ty to sense and understand various functional parameters of the human body. He then focused on how artificial intelligence and s- ensor technologies can analyze human cognitive processes, exploring the correlation between human actions and personality typ- es. Combining clinical medical data, Professor Zhao conducted a comprehensive study on the relationships among gait, personali- ty,  Parkinson's disease, and depression. He attempted to use artificial intelligence and sensor technologies to scientifically quanti- fy and understand human emotions, personality, and even the subconscious, thereby enabling robots to better comprehend human behavior.After the report, Professor Zhao provided detailed answers to questions raised by the teachers and students, engaging in  an in-depth discussion on the content of the report. His presentation inspired faculty and students in the fields of flexible electroni- cs, robotics, optoelectronic perception, and more.

Professor Zhao Yuliang is a professor, doctoral supervisor, and deputy director of research at the School of Control Engineer- ing at Northeastern University Qinhuangdao Branch. He is also the head of the Optoelectronic Sensing and Ubiquitous Intelligen-ce Laboratory. In 2016, he graduated from City University of Hong Kong with a Ph.D. in Mechanical and Biomedical Engineering and is recognized as a third-tier talent in the Hebei Province "333 Talent Project." He has previously received the Outstanding Ac-ademic Performance Award from City University of Hong Kong.