First international conference on Big Data and Machine Learning was closed successfully in Nagoya during November 23-25, 2018. The plenary lectures and the progress and special reports bridged the gap between the different fields of Big Data and Machine Learning, making it possible for non-experts in a given area to gain insight into new areas. Papers of BDML2018 were indexed by EI Compendex and Scopus!
Prof. Andrew Sung, The University of Southern Mississippi, USA
Speech Title: Mining the Big Data – Critical Features and Sample Selection (Download Abstract)
Andrew H. Sung received B.S. degree in Electrical Engineering
from National Taiwan University, M.S. degree in Mathematical Sciences
from University of Texas at Dallas, and Ph.D. degree in Computer Science
from State University of New York at Stony Brook. He has been a faculty
of Computer Science, Computer Engineering, Information Technology, and
Management in three public research universities in the U.S. for over 30
years. He has supervised more than a dozen Ph.D. students and has served
as the PI or co-PI of dozens of grants and contracts funded by
government agencies and industry, with total funding of more than ten
million USD. Since 2014, he has been the Director and Professor of the
School of Computing Sciences and Computer Engineering at the University
of Southern Mississippi.
Dr. Sung has over 250 publications and his current research interest includes computational intelligence, big data analytics and mining, cybersecurity, multimedia forensics, and blockchain. He has delivered keynote, plenary, and invited lectures in several international conferences and workshops in the U.S., Europe, South America, and India.
Prof. Kazumi Nakamatsu, University of Hyogo, JAPAN
Speech Title: Application of Paraconsistent Annotated
Logic Program EVALPSN to Intelligent Control/Safety Verification (Download
Kazumi Nakamatsu received the Ms. Eng. and Dr. Sci. from Shizuoka University and
Kyushu University, Japan, respectively. He is a full Professor at School of
Human Science and Environment, University of Hyogo, Japan.
His research interests encompass various kinds of logic and their applications to Computer Science, especially paraconsistent annotated logic programs and their applications. He has developed some paraconsistent annotated logic programs called ALPSN(Annotated Logic Program with Strong Negation), VALPSN(Vector ALPSN), EVALPSN(Extended VALPSN) and bf-EVALPSN (before-after EVALPSN) recently, and applied them to various intelligent systems such as a safety verification based railway interlocking control system and process order control. He is an author of over 150 papers and book chapters, and edited 7 books published by prominent publishers.
Kazumi Nakamatsu has chaired various international conferences, workshops and invited sessions, and he has been a member of numerous international program committees of workshops and conferences in the area of Artificial Intelligence and Computer Science. He serves as Editor-in-Chief of the International Journal of Reasoning-based Intelligent Systems by Inderscience Publishers(UK) and an editorial board member of many international journals. He has contributed numerous invited lectures at international workshops, conferences, and academic organizations. He also is a recipient of some conference and paper awards. He is a member of Japan AI Society, IEEE, etc.
Prof. Ruidong Li, National Institute of Information and Communications Technology, Japan
Speech Title: Data-Centric Security for In-Network Big
Data Sharing (Download
Ruidong Li received a bachelor in engineering from the Department
of Information Science & Electronic Engineering, Zhejiang University,
Zhejiang, China, in 2001. He received a master and doctorate of
engineering from the University of Tsukuba, respectively, both in
computer science. Dr. Li currently is a senior researcher at National
Institute of Information and Communications Technology (NICT), Tokyo. He
belongs to the Network Science and Convergence Device Lab of Network
System Research Institute of NICT. He was a member of the AKARI
Architecture Design Project for New Generation Networks, the Japanese
national project for developing the future networks.
He is involved in the design, implementation, evaluation, and optimization of future network architecture. He is the chair of IEEE SIG on Big Data Intelligent Networking and the co-chair of young research group for Aisa future internet forum. His current research interests include future networks, Internet of things, big data networking, network security, edge computing, information-centric network, artificial intelligence, cyber-physical system, naming and addressing schemes, name resolution systems, and wireless networks. He has been visiting scholar in University of Göttingen (2016), Temple University (2016), University of Alabama (2017), and UCLA (2017).