FCLT 2026

The 2026 International Conference on Computational Science and Learning Technology (FCLT 2026) has come to a successful conclusion in Guangzhou, China, on September 12, 2026.

Hosted as an on-site academic conference, FCLT 2026 gathered scholars, experts, teachers and students from universities and research institutions nationwide and overseas. Centering on computational science and intelligent learning technology, the conference focused on personalized learning computing, immersive interaction technology, system architecture and trusted computing, large-scale deployment and evaluation methods, educational equity, and innovative future learning paradigms. A series of keynote speeches and academic exchanges effectively promoted interdisciplinary integration, technological innovation and industry-university-research cooperation in related fields.

We extend our sincere gratitude to every member of the Organizing Committee for your time, dedication and hard work. Thanks to your commitment, all academic sessions ran smoothly, cutting-edge research findings were shared, and fruitful interdisciplinary discussions took place.

The conference would not have achieved its success without the joint efforts of the Program Committee. We deeply appreciate your contributions to paper reviewing and conference-related organisation work. Your rigorous academic insights have significantly elevated the quality of this conference and helped FCLT grow into a reliable platform for scholarly interaction.

Our special appreciation goes to all distinguished keynote speakers from across the globe. Thank you for sharing your latest research work and thoughtful perspectives. Your inspiring talks have provided valuable insights for all attendees.

Keynote Speeches in FCLT 2026

• Prof. James Tin-Yau Kwok, IEEE Fellow
The Hong Kong University of Science and Technology, China
Speech Title: Multi-Objective Deep Learning

• Prof. Simon K.S. Cheung, IET Fellow, BCS Fellow, IMA Fellow, HKIE Fellow, HKCS Fellow
Hong Kong Metropolitan University, China
Speech Title: Challenges and Opportunities for Open Access Textbooks in the Age of Intelligence

• Prof. Longkai Wu, IEEE Member
Central China Normal University, China
Speech Title: Emerging Paradigms for Future Learning with AI Empowerment

• Prof. Junliu Zhong, IEEE Member
Guangzhou Maritime University, China
Speech Title: From Silent Segments to Edge Deployment: Advances, Challenges, and Future Trends in Replay Speech Detection