IUKM International Conference 2025 Concludes Successfully, Paving the Way for Scientific Cooperation 19-03-2025
After three dynamic days from March 17 to 19, 2025, the 11th International Conference on "Integrated Uncertainty in Knowledge Modeling and Decision Making" (IUKM 2025) successfully concluded at the Industrial University of Ho Chi Minh City (IUH). This significant scientific event brought together a vibrant community of researchers specializing in artificial intelligence (AI), machine learning (ML), and uncertainty data management. The conference attracted numerous researchers, experts, and lecturers from around the world, fostering global collaboration and knowledge exchange.
The IUKM Conference is an annual event aimed at creating a prestigious scientific forum where experts can exchange, share, and showcase the latest advancements in processing and modeling uncertain data. These efforts help enhance accuracy and transparency in AI and machine learning systems. In the context of Industry 4.0, building effective forecasting models and supporting decision-making has become a crucial issue across various fields, including finance, healthcare, and defense technology.
This year, IUKM 2025 was hosted by the Industrial University of Ho Chi Minh City (IUH), thanks to the collaborative efforts of the Institute of Finance and Accounting and the Faculty of Information Technology, which played a key role in organizing and contributing academically to the reporting sessions. The conference also received support from the University of Natural Sciences – Vietnam National University Ho Chi Minh City and the Japan Institute of Advanced Science and Technology (JAIST). The event welcomed over 200 delegates, including professors, international experts, graduate students, and students.
International experts at the closing session
At the opening session on the morning of March 17, scientists showcased cutting-edge trends in uncertain data processing. Prof. Nguyen Trung Hung (New Mexico State University, USA) presented Algebra for Conditional Events (CEA), a tool that enhances probability inference in AI systems. Prof. Sebastien Destercke (Université de Technologie de Compiègne, France) highlighted the importance of information consolidation in estimating parameters from inaccurate data, paving the way for new advancements in risk analysis and forecasting. Prof. Katsushige Fujimoto (Fukushima University, Japan) introduced Explainable AI (XAI) with its SHAP method and interactive index, which improves understanding of how AI models make decisions. Prof. Hiroshi Mamitsuka (Kyoto University, Japan) presented the Deep Tensor Learning method, which aids in predicting drug side effects using three-dimensional data. Additionally, Prof. Richard Yamada (Office of Naval Research Global, USA) delivered an engaging talk on opportunities for scientific research cooperation in AI and defense technology, sparking significant interest from attendees.
Overview of the hall at the opening session
The participation of more than 200 delegates highlighted the conference's strong appeal and created opportunities for research collaboration among scientific institutes, businesses, and educational institutions worldwide. Many research projects presented at the event also demonstrated significant potential for practical applications across various industries, including finance, healthcare, systems engineering, and cybersecurity.
Research experts presented at the subcommittees
At the workshop's subcommittees, it was evident that the rapid advancement of AI and machine learning poses significant challenges in ensuring transparency and accuracy in data analysis models. The research presented at IUKM 2025 played a crucial role in addressing issues related to uncertainty in data science and decision-making.
For the Industrial University of Ho Chi Minh City (IUH), particularly the Institute of Finance and Accounting and the Faculty of Information Technology, which directly organized the event, IUKM 2025 marked an important milestone in promoting interdisciplinary collaboration in training and scientific research. Notably, the launch of the Financial Technology (Fintech) undergraduate program, officially enrolling students from the 2025–2026 academic year, stands as one of the first significant outcomes of this cooperation.
"Studies have demonstrated the critical role of information technology in finance and accounting. The Fintech program at the Institute of Finance and Accounting (IUH) will continue to improve by incorporating the latest knowledge and technology from the workshop. Research on AI, big data, and financial security presented at IUKM 2025 will shape the curriculum and upcoming research projects, helping students access technological advances and better prepare for the job market," said Assoc. Prof. Tran Ngoc Hung (Institute of Finance and Accounting – IUH) during the report session.
The success of IUKM 2025 marks a significant milestone for the scientific research community. In the future, the conference is expected to grow in scale, attract more experts from related fields, and foster international collaboration to translate theoretical research into practical applications. IUKM serves not only as an academic forum but also as a bridge, promoting the sustainable and effective development of data science and artificial intelligence.