IEEE International Workshop on Frontiers of Data Engineering and AI at ICDE 2025
27 May 2025
Leading academics and researchers gather at IEEE International Workshop on Frontiers of Data Engineering and AI @ICDE 2025, to explore transformative advancements at the nexus of AI and data engineering.
The workshop features 13 distinguished experts who shared their insights on harnessing advanced AI techniques to analyse and interpret extensive datasets across various dynamic sectors.
The workshop features 13 distinguished experts who shared their insights on harnessing advanced AI techniques to analyse and interpret extensive datasets across various dynamic sectors.
Participants engage in vibrant discussions to exchange ideas and acquire new knowledge on the latest developments in AI and its impact on Data Engineering.
The IEEE International Workshop on Frontiers of Data Engineering and AI successfully concluded on 19 May 2025. The event brought together esteemed academics and industry innovators from around the globe to share insights on the latest advancements in the field.
The workshop featured presentations from 13 distinguished scholars, who explored the dynamic intersection of data privacy, artificial intelligence (AI), and advanced analytics. Topics ranged from scalable data processing and real-time analytics to AI-driven data quality and governance, providing profound perspectives into contemporary challenges and pioneering AI technologies in data engineering.
Discussions began with the critical issue of preserving privacy in data usage, particularly in relation to urban mobility and AI applications. Participants gained insights into innovative techniques for enhancing data retrieval efficiency and addressing privacy vulnerabilities in large language models. The dialogue also examined the role of AI in database systems, the potential of conversational query engines, and the integration of user input to enhance AI for graph repair. The conversation progressed to the challenges of applying differential privacy in real-world situations, the synergy between graph and stream computing, and the exploration of the future of local differential privacy.
The workshop concluded with remarks from Professor Jianliang Xu, Head and Chair Professor of the Department, “This workshop not only provided an invaluable platform to exchange cutting-edge technological advancements but also set the stage for future research and development in this evolving landscape of data science.”
Jointly organised by Hong Kong Baptist University (HKBU), the Faculty of Science, and the Department of Computer Science, in conjunction with the prestigious IEEE International Conference on Data Engineering 2025, the workshop aimed to foster dynamic discussions on the latest advancements and emerging trends at the intersection of data engineering and artificial intelligence.
