Keynote Speakers
Prof. Chin-Chen Chang
(IEEE Fellow/ IEE Fellow)
Feng Chia University, China
Professor C.C. Chang obtained his Ph.D. degree in computer
engineering from NCTU. He's first degree
is Bachelor of Science in Applied Mathematics and master degree is
Master of Science in computer and decision sciences. Both were
awarded in National Tsing Hua University. Dr. Chang served in
National Chung Cheng University from 1989 to 2005. His current title
is Chair Professor in Department of Information Engineering and
Computer Science, Feng Chia University, from Feb. 2005.
Prior to joining Feng Chia University, Professor Chang was an
associate professor in Chiao Tung University, professor in National
Chung Hsing University, chair professor in National Chung Cheng
University. He had also been Visiting Researcher and Visiting
Scientist to Tokyo University and Kyoto University, Japan. During
his service in Chung Cheng, Professor Chang served as Chairman of
the Institute of Computer Science and Information Engineering, Dean
of College of Engineering, Provost and then Acting President of
Chung Cheng University and Director of Advisory Office in Ministry
of Education, Taiwan.
Professor Chang's specialties include, but not limited to, data
engineering, database systems, computer cryptography and information
security. A researcher of acclaimed and distinguished services and
contributions to his country and advancing human knowledge in the
field of information science, Professor Chang has won many research
awards and honorary positions by and in prestigious organizations
both nationally and internationally. He is currently a Fellow of
IEEE and a Fellow of IEE, UK. On numerous occasions, he was invited
to serve as Visiting Professor, Chair Professor, Honorary Professor,
Honorary Director, Honorary Chairman, Distinguished Alumnus,
Distinguished Researcher, Research Fellow by universities and
research institutes. He also published over 1,100 papers in
Information Sciences. In the meantime, he participates actively in
international academic organizations and performs advisory work to
government agencies and academic organizations.
Prof. De-Shuang Huang (IEEE Fellow / IAPR Fellow / AAIA
Fellow)
Tongji University, China
De-Shuang Huang is a Professor in Institute of Machine Learning and Systems Biology, EIT Institute for Advanced Study, China. He is currently the Fellow of the IEEE (IEEE Fellow), the Fellow of the International Association of Pattern Recognition (IAPR Fellow), the Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), and associated editors of IEEE/ACM Transactions on Computational Biology & Bioinformatics and IEEE Transactions on Cognitive and Developmental Systems, etc. He founded the International Conference on Intelligent Computing (ICIC) in 2005. ICIC has since been successfully held annually with him serving as General or Steering Committee Chair. He also served as the 2015 International Joint Conference on Neural Networks (IJCNN2015) General Chair, July12-17, 2015, Killarney, Ireland, the 2014 11th IEEE Computational Intelligence in Bioinformatics and Computational Biology Conference (IEEE-CIBCBC) Program Committee Chair, May 21-24, 2014, Honolulu, USA. He has published over 470 papers in international journals, international conferences proceedings, and book chapters. Particularly, he has published over 240 SCI indexed papers. His Google Scholar citation number is over 20300 times and H index 76. His main research interest includes neural networks, pattern recognition and bioinformatics. His main research interest includes neural networks, pattern recognition and bioinformatics.
Prof. Yiyu Yao
(IRSS Fellow)
University of Regina, Canada
Yiyu Yao is a professor of computer science with the Department of Computer Science, University of Regina, Canada. His research interests include three-way decision, granular computing, web intelligence, rough sets, formal concept analysis, information retrieval, and data mining. He proposed a theory of three-way decision, a decision-theoretic rough set model, and a triarchic theory of granular computing. He has published over 500 papers. He was selected as a highly cited researcher by Clarivate from 2015 to 2019. His Google Scholar citation number is over 36,000, with an h-index 97 and i10-index 331.
Prof. Xiaofei Wang
Tianjin University, China
Xiaofei Wang is currently a professor
in Tianjin University, China. He received M.S. and Ph.D degrees from
the School of Computer Science and Engineering, Seoul National
University in 2008 and 2013 respectively. He received the B.S.
degree in the Department of Computer Science and Technology,
Huazhong University of Science and Technology in 2005. He is the
winner of the IEEE ComSoc Fred W. Ellersick Prize in 2017. His
current research interests are social- aware multimedia service in
cloud computing, cooperative backhaul caching and traffic offloading
in mobile content- centric networks.
He presides and participates in 10 research projects of South Korea
and Canadian, the projects amount is more than 3 million dollars. He
has published more than 66 papers in International journal and
society (30 papers as the first author or corresponding author),
including IEEE Transactions on Wireless Communications, IEEE
Communications, IEEE Transactions on Multimedia, IEEE Network, IEEE
INFOCOM, etc., among which 32 papers are included in SCI (15 papers
as the first author or corresponding author), 5 papers are included
in JCR-1, 7 papers are in JCR-2, and 9 papers are in JCR-3, total
impact factor is about 105, recommendation paper from the CCF
(A-5,B-6,C-20), ESI high cited 3 papers, WoS cited 377 times, Google
reference is about 1300, and H - index is 15.
Invited Speakers
Prof.
Feng-Jen Yang
Florida Polytechnic University, USA
Dr. Feng-Jen Yang received the B.E. degree in Information Engineering from Feng Chia University, Taichung, Taiwan, in 1989, the M.S. degree in Computer Science from California State University, Chico, California, in 1995, and the Ph.D. degree in Computer Science from Illinois Institute of Technology, Chicago, Illinois, in 2001, respectively. Currently, he is teaching and conducting research at the Florida Polytechnic University. Besides his current job in academia, he also has highly regarded prior research experiences. He once was a research assistant at the Chung Shan Institute of Science and Technology (CSIST), Taoyuan, Taiwan, from 1989 to 1993, as well as an engineer at the Industrial Technology Research Institute (ITRI), Hsinchu, Taiwan, from 1995 to 1996. Throughout his professional career, he dedicates himself to the research areas of Intelligent Tutoring Systems, Simulated Biological Intelligence, Expert Systems, Machine Learning, and Software Engineering. He has also been awarded research grants from ACM SIGCSE and Seed Grants from Florida Polytechnic University.
Prof..
Feng Guang
Guangdong University of Technology, CHINA
Feng Guang obtained his Ph.D degree in Computer Science in Control Theory and Control Engineering from Guangdong University of Technology, China in 2010. He served as a teacher of Experiment Course in City University of Hong Kong, and currently is the director of the Network Information and Modern Education Technology Center, a professor of experimenter and a postgraduate tutor of Guangdong University of Technology. His research focus on, but not limited to network and information control, optimization control, RFID technology, computer network, etc. He has published 7 academic papers above core Chinese and 2 monographs, and obtained three software copyrights. Some papers as the first author in international journals or international conferences in the second district of SCI. He Participated in numbers of Guangdong Provincial Natural Science Foundation projects, and presided over numbers of provincial and ministerial-level projects.
Assoc.
Prof. Raja Kumar Murugesan
Taylor’s University, Malaysia
Dr Raja Kumar Murugesan is an Associate Professor of Computer Science, and Head of Research for the Faculty of Innovation and Technology at Taylor’s University, Malaysia. He has a PhD in Advanced Computer Networks from the Universiti Sains Malaysia and has about 30 years’ experience as an educator. His research interests include IPv6, Future Internet, Internet Governance, Computer Networks, Network Security, IoT, Blockchain, and Machine Learning. He is a member of the IEEE and IEEE Communications Society, Internet Society (ISOC), and associated with the IPv6 Forum, Asia Pacific Advanced Network Group (APAN), Internet2, and Malaysia Network Operator Group (MyNOG) member’s community. He has held various leadership roles in his academic career. Raja has given several invited talks and presentations on IPv6, Internet Governance, IoT, Blockchain, AI, Machine learning and Digital Transformation at various international conferences and events. Obtained substantial funds locally and internationally, and engages in research, consultancy, and outreach activities in the area of Advanced Computer Networks. He Publishes vividly in cited International Proceedings and Journals, and contributes to the community actively.
Dr.
Gabriella Casalino
University of Bari, Italy
Gabriella Casalino is currently an Assistant
Professor at the CILab laboratory of the department
of Informatics, University of Bari, working on
machine learning techniques applied to Web Economy
domain. This position has been funded by the Italian
Ministry of Education, University and Research
(M.I.U.R.) through the European funding project AIM
(Attraction and International Mobility). Her
research activity is focused on Computational
Intelligence with a particular interest for data
analysis. Three are the main themes she is currently
working on: 1)Intelligent Data Analysis
2)Computational Intelligence for eHealth, 3)Data
Stream Mining. Topics in which she has produced
original contributions include: image analysis,
educational data mining, text mining, e-health,
bioinformatics and signal processing. She is active
in the computer science community as associate
editor and guest editor of special issues in
international journals. She is also active in
international conference organization.