Prof. Jiangtao Cui
Xidian University, China

Jiangtao Cui is a Professor and Doctoral Supervisor at the School of Computer Science and Technology, Xidian University. He earned his bachelor’s, master’s, and doctoral degrees from the School of Computer Science and Technology at Xidian University in 1998, 2001, and 2005, respectively. From 2007 to 2008, he served as a visiting scholar at the Data and Knowledge Engineering Research Institute of the University of Queensland in Australia under the China Scholarship Council. He is a national-level high-level talent, a recipient of the Special Government Allowance from the State Council, a distinguished teaching professor in Shaanxi Province’s higher education institutions, and a member of the Eighth Academic Division of the Ministry of Education’s Science and Technology Committee.
Currently, he serves as the Executive Dean of the School of Computer Science and Technology (National Exemplary Software School) and a member of the University Academic Committee. He is a Distinguished Member of the China Computer Federation (CCF), a CCF Council member, and the Vice Chairman of the Shaanxi Computer Federation/Computer Education Society. Additionally, he serves on the CCF Database/Big Data/Blockchain Technical Committee and is an expert in engineering education accreditation and undergraduate education teaching evaluation.
His primary research areas include data and knowledge engineering, database kernel technology, and his work has been recognized with a second prize in the Natural Science Award at the provincial level. He leads the Big Data Fundamental Theory and Intelligent Analysis Discipline Innovation and Talent Recruitment Base, the Xi’an Key Laboratory of Advanced Database Technology, and the Shaanxi Provincial University Engineering Research Center for Advanced Databases. He has long been engaged in the development of computer science programs, overseeing initiatives such as the “Computer Science” Top Student Cultivation 2.0 Base, the “Computer Science and Technology” National First-Class Undergraduate Program, and projects related to first-class courses and virtual teaching teams. He has received two second prizes in the National Teaching Achievement Awards and two first prizes in provincial teaching achievement awards.

Prof. Hui‌ Liu
Central South University, China

Prof. Hui‌ Liu is currently a chair professor at Central South University (CSU), a distinguished professor of Changjiang Scholars Program, and deputy dean of the School of Transportation Engineering of CSU. His research focuses on interdisciplinary areas spanning artificial intelligence, big data, and transportation engineering. He has been recognized as a Clarivate Highly Cited Researcher, an Elsevier Highly Cited Chinese Researcher, an "Outstanding Young Scholar in Engineering Frontier" by the Chinese Academy of Engineering, and a recipient of the Royal Academy of Engineering’s "Outstanding International Engineer Award."
Prof. Liu holds dual doctoral degrees from China and Germany, as well as a German professor’s diploma in Robotics. Prior to his current roles, he served as a named BMBF Junior Group Leader under the German Federal Ministry of Education and Research, Director of the Robotics Institute at the Key Laboratory of Automation in Life Sciences in Germany and held the W1/W2 professorship.
As the first contributor, he has won prestigious awards including the World Internet Conference Leading Technology Award, Springer Nature’s "China New Development Award," the China Ministry of Education’s Technological Invention Award, the Wu Wenjun Artificial Intelligence Technology Award, and the Geneva/Nuremberg Patent Gold Medal. Additionally, he has participated in projects awarded the National Science and Technology Progress Prize of China (Class I). With over 100 authorized invention patents in China, the U.S., Germany, France, Japan, Australia, and other countries, Prof. Liu has also published five academic monographs with Springer/Elsevier and authored more than 100 academic papers. He leads four National Natural Science Foundation projects and has spearheaded over 10 significant domestic and international research initiatives, collaborating with institutions in the UK, Germany, and other countries.