Prof. Xingbo Wang
Foshan University, China
Dr. & Prof. Xingbo Wang got his Master and Doctor’s degrees at National University of Defense Technology (NUDT) of China. Since 1994, he had worked at NUDT on CAD/CAM/CNC technologies till 2010. Since 2010, he has been a professor in Foshan University with research interests in intelligent manufacturing system and computer applications. Prof. Wang is now in charge of Guangdong Engineering Center of Information Security for Intelligent Manufacturing System, where a lot of cryptography problems have to be dealt with the elementary number theory. He then set up a new method to study odd integers by means of perfect full binary tree and derived out many new properties of the odd integers, including genetic property that makes it easier to factorize an odd integer. Now Prof. Wang is devoting himself to developing a fast algorithm to integer factorization and intending to solve the hard problem of integer factorization.
Assoc. Prof. Hai Van Pham
Hanoi University of Science and Technology, Vietnam
Hai Van Pham received the Ph.D. degree from Ritsumeikan University, JAPAN. He is currently an Associate Professor, Senior lecturer at School of Information and Communication Technology, Hanoi University of Science and Technology. He is senior expert/consultant in AI/ICT of reputed international/ national companies, VINASA, World bank, FORMIS, conducted/ jointed primary R&D projects.…He has published more than 90 papers refereed journal and conference papers in ISI/ Scopus and other database indices and served as a member of program committees for international conferences and journals. He is also on the reviewer, editorial board of international conferences/journals, and a workshop Chair/ Track Chair for International Conferences (ICAS 2012, SOICT 2014, KSE 2015, KSE 2016, KSE 2019 …). His current research interests include applied artificial intelligence, big data analysis, machine learning, fuzzy systems and knowledge-based.
Speech Title: "Applied Artificial Intelligence and Its Applications in Digital Transformation"
In this talk, we overview the trend of Applied AI and Digital Transformation, then explain our research on robot coverage path algorithms, optimization integrated with Kansei engineering in disaster responses, and discuss machine learning models in variety of health care application domains. We also introduce some of our interesting applications of Big Data analysis: 1) social network analysis by graph knowledge and deep learning, 2) customer centric by exploratory data analysis techniques, and 3) Unsupervised training applications in FINTECH. Some selected demonstration results of our research papers published in ISI, SCI, SCIE journal indices will be given a demo together with this talk.