CityU hosts symposium on developments in data decision-making and talent cultivation for Macao’s 1+4 economy.
The City University of Macau (CityU) hosted a two-day academic symposium titled “New Developments in Data Decision-Making and Talent Cultivation for Macao’s 1+4 Economy.” The symposium aimed to promote research advancements and talent development in the field of data decision-making, contributing to Macao’s economic growth and social innovation. The symposium attracted experts and scholars from renowned universities including Xidian University, Beijing Institute of Technology, the Institute of Automation of the Chinese Academy of Sciences, and Fuzhou University. CityU Vice Rector and Dean of the Faculty of Data Science (FDS), Prof. Zhou Wanlei, delivered an opening address. FDS Associate Deans Zhu Tianqing and Andy Liu Wenjian also attended the symposium.
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On the first day of the conference, three professors presented on their respective areas of expertise: Prof. Ma Jianfeng from Xidian University spoke on “A New Paradigm for Wireless Network Security: Cloud-Network-Terminal Collaborative Security;” Prof. Shen Meng from Beijing Institute of Technology shared insights on “Blockchain-Based Privacy Computing Technology;” and Prof. Ma Zhuo, also from Xidian University, discussed “Intelligent Model Attack and Defense and Its Security Applications.”
Prof. Ma Jianfeng proposed a security mechanism aimed at ensuring the security of wireless network information services. His research focuses on “computing security” and “communication security,” which formed a novel research direction for a new paradigm of wireless network security. Prof. Shen Meng addressed key scientific issues related to data access control and trusted sharing in limited-trust environments, balancing security and efficiency in collaborative data computing, and verifying computational results under privacy-preserving plaintext invisibility. He proposed blockchain-integrated technologies to achieve a series of representative results and engage in industry-academia collaborations to implement these findings. Prof. Ma Zhuo emphasized the importance of addressing security threats within the AI model development process. He highlighted research on defending against model poisoning attacks and model stealing.
On the second day of the conference, three speakers presented on their respective areas of expertise: Prof. Liu Zhenyu, representing the Institute of Automation of the Chinese Academy of Sciences, spoke on “Intelligent Analysis of Medical Impact Big Data to Assist Disease Diagnosis and Treatment Decision-Making;” Prof. Zhang Junwei from Xidian University presented on “Construction and Talent Cultivation of a First-Class Cybersecurity College;” Prof. Liu Ximon, a research fellow from Fuzhou University, discussed “Homomorphic Encryption Theory and Applications.”
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Liu Zhenyu shared his research findings on applying analysis of medical impact big data to predict lymph node metastasis during surgery and diagnose hepatitis B fibrosis. He highlighted the importance of integrating imaging and pathology in image omics as a key area for future research. Prof. Zhang Junwei explored the significance of building a first-class cybersecurity development and cultivating talent in this field. He conducted in-depth research on the construction of network and information security and talent development, providing valuable insights for the future direction of the discipline. Prof. Liu Ximon presented his research on homomorphic encryption theory and applications, including secure integer, rational, and floating-point computations, cross-domain secure computing, and secret-sharing-based computing. These research findings held significant importance for advancing new developments in data decision-making and talent cultivation.
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The symposium provided a platform for experts and scholars to engage in active discussions and exchanges, delving into the latest advancements, technical applications, and challenges in data decision-making. They shared their research findings and experiences, and further discussed ways to cultivate and attract more talent to meet the demands of the field. The symposium served as a valuable platform for academic and industry professionals to connect and collaborate, fostering advancements in both academic research and practical applications. Attendees expressed that this symposium would significantly contribute to promoting the development of data decision-making and talent cultivation for Macao’s “1+4” economy.
Other attendees included FDS Program Coordinator James Ying Zuobin, Prof. Gu Jia, and Prof. Sun Xin.
Source: Faculty of Data Science
