Liang Zhang

Fudan University, China

BIO:

Zhang Liang is a professor at the Institute of Computing and Intelligent Innovation of Fudan University and a doctoral supervisor. He is a senior member of the Chinese Computer Society, an IEEE member, an ACM member, and a member of the Special Committee on Service Computing of the Chinese Computer Society. Over the past decade, he has published over 70 journal and conference papers, covering topics such as multimedia data management, XML data management, digital libraries, Web services, and business process management (BPM). His main research directions include service computing and artifact-oriented BPM.

Speech title: Human-Machine-Object Collaborative Service Computing: From Cross-Organizational Processes to Intelligent Interactive Systems

Zhongyuan Wang

Wuhan University, China

BIO:

Zhongyuan Wang is a professor at the School of Computer Science of Wuhan University and the National Multimedia Software Engineering Technology Research Center. He is also a doctoral supervisor. He has been engaged in research on multimedia information processing, big data analysis of surveillance videos, and identity computing for a long time. He has led 3 projects funded by the National Natural Science Foundation of China, 1 project funded by the Key Project of Hubei Province, and served as the deputy leader of the National Major Science and Technology Project of New Generation Broadband Wireless Mobile Communication Network. As the technical leader, he developed network cameras and video servers, which won the CES Award and the top ten innovative security products in China. He participated in the implementation of major projects such as the Peace City Project in Dongguan and the Electronic Bus Monitoring Project in Shenzhen. He has compiled 3 public security standards. The mask face recognition technology developed for the prevention and control of COVID-19 has received extensive attention from media such as Hubei Daily, Global Times, and China Science and Technology News. He has published over 80 papers in international authoritative journals and top international conferences (including 5 ESI hot/cited papers), and has been the first applicant for over 30 invention patents, among which 3 patent technologies have been adopted in China's AVS national standard. He guided graduate students to win the second place in the IEEE AIM 2019 international competition. He has received 6 science awards from the Ministry of Education, the Ministry of Public Security, Hubei Province, and Guangdong Province.

Speech title: Deep Learning Driven Video-Image Understanding and Intelligent Interaction Technology

Yiwen Liang

Wuhan University / Wuchang Tongyi College, China

Bio:

YiwenLiang, the dean of the School of Information Science and Engineering, is a secondary professor and doctoral supervisor at Wuhan University. He is also an adjunct professor at the Shenzhen Graduate School of Peking University and a visiting associate professor at the University of New South Wales in Australia. He has led several major research projects funded by the National Natural Science Foundation of China and defense informatization projects. He has published over 30 academic papers indexed by SCI.

Speech title: Intelligent Information Processing and Security Protection Technology for Intelligent Interaction Scenarios

Ata Jahangir Moshayedi

Dongguan University of Technology, China

Bio: 

Dr. Ata Jahangir Moshayedi is an Associate Professor at DGUT-CNAM Institute of Dongguan University of Technology, China. He holds a Ph.D. in Electronic Science from Savitribai Phule Pune University (formerly the University of Pune), India. He is a Senior Member of IEEE, a Professional Member of ACM, and a Life Member of the Instrument Society of India.Dr. Moshayedi has published over 100 research papers, authored 4 books, contributed to 4 book chapters, and holds 2 patents and 16 copyrights. He actively serves as a technical program committee member and session chair for numerous international conferences.

His current research focuses on robotics, particularly the development of autonomous guided vehicles (AGVs) for applications such as smart farming, food delivery and elderly care.

Speech title: Bio-inspired Robotics and Machine Olfaction: From Autonomous Navigation to Intelligent Interaction

Zhi Liu

Central China Normal University, China

Bio:

Zhi Liu studied for a master's degree in Communication and Information System and a doctoral degree in Educational Information Science and Technology at Central China Normal University from 2009 to 2014. Since 2015, he has been a teacher at the National Digital Learning Technology Engineering Research Center, conducting research on educational big data analysis and learner modeling. In 2017, he was fully funded by the National Scholarship Foundation for Overseas Study and was sent to the Computer Science Institute of Humboldt University in Berlin to develop technologies related to emotion perception and learning analysis, serving as a Guest Researcher of the research group. As the project leader, he has been responsible for 5 projects funded by the National Natural Science Foundation of China, the Education Humanities and Social Sciences Foundation, and the Hubei Provincial Natural Science Foundation; as a key participant, he has executed 8 projects including the National Key Research and Development Program, "Twelfth Five-Year" Science and Technology Support Program, and National Social Science Foundation; he has published over 40 peer-reviewed papers and obtained 2 invention patents.

Speech title: Large Model Driven Multimodal Affective Computing and Human-Machine Intelligent Interaction