From December 14–16, 2025, The University of Da Nang - the Vietnam-Korea University of Information and Communication Technology (UD-VKU), hosted the 14th International Conference on Computational Data and Social Networks (CSoNet 2025). The conference was held under the professional sponsorship of Springer Publishing.

The CSoNet 2025 Conference attracted many reputable scientists and experts from both domestic and international institutions, such as Prof. Thai Tra My (University of Florida, USA), Chair of the Conference; Prof. Alexander Semenov (University of South Florida, USA); Prof. Anurag Singh (NIT Delhi, India); Prof. Bo Chen (University of Warwick, UK); Prof. Xingquan Zhu (Florida Atlantic University, USA); Prof. Hongchang Gao (Temple University, USA); Dr. Bo Li (Hong Kong Polytechnic University, China); Assoc. Prof. Dr. Huynh Cong Phap - Rector of VKU; Assoc. Prof. Dr. Phi Le Nguyen (Hanoi University of Science and Technology, Vietnam); Prof. Dr. Huynh Xuan Hiep (Can Tho University, Vietnam)…

According to Assoc. Prof. Huynh Cong Phap, Rector of VKU and Co-Chair of the Organizing Committee, VKU was honored to welcome domestic and international scientists to the beautiful and hospitable coastal city of Da Nang to exchange academic ideas and share new research findings.

The Rector emphasized the vital role of scientific research networks in the process of internationalizing higher education. This is particularly significant as Vietnam is aggressively implementing breakthrough policies and resolutions in science, technology, and innovation.

This event serves as an affirmation from the scientific community of VKU’s position as a hub for collaborative research, especially in the booming fields of Industry 4.0, AI applications, Big Data, and digital technology aiming toward safety, reliability, transparency, and a human-centric approach.

At the plenary session, the delegates listened to and discussed three presentations, including: Prof. Bo Chen (University of Warwick, UK) with the topic “Sequential Voting and the Reliability of Collective Decisions: From Condorcet to Computational Social Networks”; Prof. Thai Tra My (University of Florida, USA) with the topic “Safe, Transparent, and Private: The Next Frontier for LLMs”; and Prof. Xingquan Zhu (Florida Atlantic University, USA) with the topic “Rethinking Heterogeneous Network Learning: Label Distributions and Scalability.”

Additionally, the conference featured: 03 Rising Star sessions with experts from Florida International University, Temple University, and Hong Kong University;  04 AI-TECH Workshop sessions covering topical issues such as computational energy, predictive analysis, LLM/AI frameworks, and recognition/classification.

With more than 60 thematic reports presented across 8 parallel sessions and 4 poster presentation sessions, scientists from domestic and international universities (USA, UK, France, China, Italy, Australia, India, Denmark, Vietnam, etc.) discussed and addressed topics with high scientific and practical relevance, such as: Multimodal Signal Processing and Pattern Analysis; Computer Vision & Visual Understanding; Graphs, Language, and Multimodal Learning; Cybersecurity, Privacy & Digital Forensics; Cybersecurity and Privacy; Machine Learning; Social Networks & Society, among others.

UD Media