Invited Speakers
2020 5th
International Conference on Intelligent Information Technology (ICIIT 2020)
aims to gather professors, researchers, scholars and industrial pioneers all
over the world. ICIIT is the premier forum for the presentation and exchange of
past experiences and new advances and research results in the field of
theoretical and industrial experience. The conference welcomes contributions
which promote the exchange of ideas and rational discourse between educators and
researchers all over the world. We aim to building an idea-trading platform for
the purpose of encouraging researcher participating in this event. ICIIT 2020 is welcome qualified persons to delivery a speech in the
related fields. If you are interested, please send a
brief CV with photo to the conference email box:
iciit@cbees.net.
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.
