Research

Inaccurate or uncertain data can cause difficulties for individuals and businesses to deal with economic and social issues.  DTU and the Japanese Advanced Institute of Science and Technology (JAIST) organized the “International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making - IUKM 2016”, from November 30th to December 2nd.  

Dr. Vo Thanh Hai, DTU Vice-Provost, said: “It is very difficult to make decisions when you have not got certainty and detailed information. The IUKM 2016 aims to provide a forum for the exchange of research and ideas and experiences encountered by experts involved in all aspects of uncertainty modeling and management.”

More than two hundred delegates, including fifty foreign researchers from the US, France, Japan, Thailand, China and Austria attended. The organizers received 78 papers and 57 were accepted for presentation at IUKM 2016 and for publication in the proceedings. The main topics covered at IUKM 2016 were uncertainty formalisms, Bayesian probability, the Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval methods, modelling uncertainty and the inconsistency in large amounts of data, logics for reasoning under uncertainty, information fusion and knowledge integration in uncertain environments, decision-making under various types of uncertainty, aggregation operators for decision-making, copulas for dependence modeling, granular and soft computing and computational intelligence.

During the three days of the conference, leading scientists from France, Poland, Japan and Vietnam gave public lectures on their research. Topics presented included, “On Evidential Measures of Support for Reasoning with Integrated Uncertainty: A lesson from the Ban of P-values in Statistical Inference”; “Uncertainty Management and Decision Support”; “Soft Clustering and Classification”; “Machine Learning Applications: Past, Present and Future”; “Autonomous Systems: Many Possibilities and Challenges”; “Biomedical and Image Applications”; and “Data Mining and Application”, which offered a more comprehensive view about models and techniques to manage and integrate data sources. 

Mr. Nguyen Quang Thanh, Director of the Danang Department of Information and Communications, said: “Danang always encourages IT development and effectively turns its research in reality. IT growth has brought the city a significant export revenue of $ 58 million, which was highly appraised by the State in terms of e-Government, as a result of the contribution of many universities, including DTU, which have graduated large numbers of highly-qualified IT engineers over the years. IUKM 2016 is a great opportunity for us to learn about advanced research which will enable us to conduct the second stage of the e-Government model operating under the trend of a “Smart city.”

DTU and JAIST agreed to make IUKM an annual event in the near future.

 

 Prof. Dr. Huynh Van Nam (upper row, first from the right) at IUKM 2016 at DTU

As a founder of IUKM and Chair of IUKM 2016, Prof. Dr. Huynh Van Nam presented many research papers at the conference.

 

Prof. Dr Nam got a doctoral degree in Mathematics at the Institute of Information Technology of the Vietnam Academy of Science and Technology in 1999. He used to teach at Chiang Mai University in Thailand, Tsukuba University in Japan and Qui Nhon University.

Currently, Prof. Dr Nam teaches at the Japan Advanced Institute of Science and Technology. He won two Best Paper Awards at international conferences held in Belgium such as the “Symposium on Soft Computing, Computational Intelligence, Fuzzy Systems, Neutral Networks, Learning of CASYS' 2003” in 2003 and the  “Symposium on ANTICIPATORY, FUZZY, SEMANTIC AND LINGUISTIC SYSTEM of CASYS'99, Liege” in 1999. 

He is the author and co-author of 12 books published by Springer, such as: “Causal Inference in Econometrics”, “Integrated Uncertainty in Knowledge Modelling and Decision Making”, “Econometrics of Risk”... He has more than 50 international publications in well-known journals.