Prof. Ho Tu Bao
Vietnam Institute for Avanced Study in Mathematics, John von Neumann Institute (Vietnam)
Title: “Data Science: A Key In The Digital Transformation Time”
This talk consists of two parts. First to discuss the decision making in a digital economy and a digital society, as well as the relationship between AI and recent ICT breakthrough including data science. Second to illustrate the power of data science through problems and solutions in medicine, transportation, customer relationship, and more.
Ho Tu Bao graduated (1978) from the Faculty of Mathematics -Physics, Hanoi University of Technology, MA (1984) and Doctor (1987) in Artificial Intelligence at the Universite Paris 6. He has been doing research, application and teaching since then in the fields of Artificial Intelligence (AI), Machine Learning (ML) and Data Mining (DM), and more recently in Data Science (DS). He has been professors and emeritus professor of Japan Advanced Institute of Science and Technology (JAIST) since 7.1993. From 4.2018, he is Professor of John von Neumann Institute of VNUHCM and Head of Data Science Lab of the Vietnam Institute for Advanced Study in Mathematics (VIASM). He is members of the Steering Committee of PRICAI (Pacific Rim International Conference on Artificial Intelligence), PAKDD (Pacific Asia Knowledge Discovery and Data Mining, Chair 2014-2017), ACML (Asia Conference on Machine Learning, Co-chair 2013) -2016).
Asst. Prof. Suthee Chantrapunth
Defense Technology Institute of Thailand
Deputy Director of DTI
Title: “Blockchain Technology in Defence”
Cybersecurity is a “must to do” activity to maintain computer and network systems in good order and are not an easy target to cyber threats. Blockchain is a new emerging technology that can protect data from being modified or tampered by perpetrators. With its mechanism, once the data is inserted into the chain, it can never be changed or modified. With this characteristic, many public and private sectors are looking to apply blockchain technology to increase integrity of the data that being transferred among their related parties. A country that can apply blockchain technology to support its e-Governance system successfully is Estonia. The e-Governance of Estonia, or e-Estonia, is the electronic system that facilitates all citizen interactions with the state and private organizations of Estonia. However, the cyber attacks on the e-Estonia in 2007 that shut down most of the government, bank, and media websites, had made the whole country parallelized for months. As a reason, Estonia started to develop a scalable blockchain, called Keyless Signature Infrastructure (KSI) blockchain, to ensure integrity of data stored in government repositories and also to protect these data against insider threats. So, it is clear that blockchain networks can reduce the probability of compromise, and impose significantly greater costs on perpetrators or adversaries to achieve it. Thus, it is worth to examine, research and develop blockchain technology and leverage it for government, business and military usages to increase integrity of their data.”
Asst. Prof. Suthee Chantrapunth, Ph.D. (Group Captain) is now the expert at Defense Technology Institute and Assistant Professor at Air Force Academy in Thailand. He receives BS in electrical engineering from Texas A&M University and MS in computer engineering from Wright State University, USA. He also obtain MBA and Ph.D. in development administration from National Institute of Development Administration, Thailand. His research interests are mainly on the cyber security, information system, and military computer applications.
His CV is as following link:
Vice President, Professor, Chiba University of Commerce
Director, Institute of Economic Research, Chiba University of Commerce
Visiting Researcher, UCLA (2015)
Title: Abstraction for Getting Knowledge Social Situation Considering Topic Diversity − Data mining vs Machine learning
Abstract: This talk introduces a method for analyzing time series topic transition based on micro-clusters to present different situations that show people’s reactions to topical problems on the Web. To mine micro-clusters, we leverage our original algorithm, data polishing. Quality clusters are extracted as topics by the algorithm, so that the semantics of clusters can be easily analyzed. In the presentation, we show the dynamics of fake news using real tweets targeting the petrochemical complex explosion that happened just after the Great Japan East Earthquake in 2011.
Takako Hashimoto graduated from the Ochanomizu University, and received a Ph.D. in computer science, specialization in multimedia information processing, from the Graduate School of Systems and Information Engineering of University of Tsukuba in 2005. She worked at the software R&D center of Ricoh Co. Ltd., in Japan for 24 years, and participated in the development of many software products as a technical leader. She has a rich project management experience including international collaborative research handling as well. From April of 2009, she was involved in Chiba University of Commerce as Associate Professor. In 2015, she has become Professor of Chiba University of Commerce. In 2015, she stayed at University of California, Los Angeles as a visiting researcher. She has become Director of Institute of Economic Research, Chiba University of Commerce in 2016 and the Vice President of Chiba University of Commerce in 2018. She has served as an Associate Editor of Journal of IEICE Data Engineering and Information Management and IPSJ Transactions On Databases (TOD). She is an Board Member of the Database Society of Japan and IEEE Japan Council. Currently, she has focused on the data mining research and the social media analysis, especially topic extraction from millions of tweets related to the East Japan Great Earthquake. She is developing the high performance feature selection technique for big data. She’s also conducting global researches for developing the social media analysis platform in multi-language/cultural environment.