Qingzhong Liu, Sam Houston State University, USA

Dr. Liu is currently a full professor and PhD advisor in the Department of Computer Science at Sam Houston State University. His research interests include cybersecurity, digital forensics, computer vision, bioinformatics, and artificial intelligence. His study has been funded by the U.S. Army, the National Institute of Justice, the National Science Foundation, the National Institute of Health, and the National Security Agency. He was the recipient of the SHSU Excellence in Scholarly and Creative Activity Award in 2017. In 2021 and 2022, he was selected by Stanford University on the world’s top 2% scientists in Artificial Intelligence and Image Processing.


Zhang Shiling, Electric Power Research Institute of State Grid Chongqing Electric Power Company, China

Zhang Shiling, senior engineer, doctor of engineering. He has been engaged in scientific research and production of high voltage and insulation technology and physical and chemical detection technology for a long time. The development of UHV dry-type converter transformer bushing and SF6 gas insulated through wall bushing has been applied to the construction of UHV AC and DC projects in China. Presided over and completed the GIS fault detection sensing technology and system, won the excellent innovation achievement award of the international innovation and entrepreneurship Expo, and was awarded the title of excellent scientific and technological worker by Chongqing Institute of electrical engineering.

As the first author, he has published more than 100 SCI/EI search papers in domestic and foreign journals and international academic conferences, 19 Chinese Core Journals of Peking University, won 9 provincial and ministerial awards such as the first prize of Chongqing scientific and technological progress and the special first prize of China Water Conservancy and power quality management Association, authorized 1 international invention patent, 20 national invention patents and utility models, 18 software copyrights, and more than 20 reports of international and domestic conferences, As the project leader, he presided over 2 provincial and ministerial projects at the basic frontier and 3 science and technology projects at the headquarters of State Grid Corporation of China.


Xuefeng LIU, Qingdao University of Science and Technology, China

Professor Xuefeng LIU is the doctoral supervisor of Qingdao University of Science and Technology. She is one of the Excellent Graduate Tutor in Shandong Province. She graduated from Shandong University with a bachelor's degree and a master's degree and from Ecole Centrale de Marseille in France with a doctor's degree. She had worked as a post-doctor at Fresnel Institute in France. Her research includes hyperspectral image processing, medical image processing, underwater image processing, artificial intelligence etc.
As the project leader, she has presided over two National Natural Science Foundation projects, one natural science foundation project of Shandong Province and one overseas study and return fund of the Ministry of education. As a major participant, she has participated in 7 national, provincial and ministerial projects. She has published more than 30 research papers in relevant research fields, and her research results have won Science and Technology Award of University in Shandong Province.



Quan Wang, Xi’an Institute of Optics and Precision Mechanics, the Chinese Academy of Sciences, China

Dr. Wang is a Professor and PhD advisor of Signal and Information Processing at the Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences. She leads the direction of cognitive science and computational neuroscience in the Key Laboratory of Biomedical Spectroscopy of Xi'an and focuses on biomedical signal and image processing and its application to brain-computer interaction and neurodevelopmental diseases. Her research interests include task-based multimodality algorithms and biomarker development with technologies like eye tracking, electroencephalogram, functional near-infrared spectroscopy, and biologically motivated and other deep learning neural networks. Dr. Wang has published more than 50 SCI/EI English search papers, has won Autism Speaks Meixner Translational Postdoctoral Award 2014, Outstanding Young Talent Program, Chinese Academy of Sciences 2019.