Committee

General Chair
Victor C. M. Leung
Shenzhen University, China &  The University of British Columbia, Canada
Conference Chairs
Hongzhi Wang Harbin Institute of Technology,  China		Tianrui Li Southwest Jiaotong University, China		Yong Zhao University of Electronic Science and Technology of China, China
Program Chairs
Shichang Xuan Harbin Engineering University,  China		Nik Bessis Edge Hill University, UK		Junzhao Du Xidian University, China
Kongyang Chen Guangzhou University, China
International Advisory Committee
Helen Karatza Aristotle University of  Thessaloniki, Greece		Constantinos Mavromoustakis University of Nicosia,  Cyprus		Euripides Petrakis Technical University of Crete,  Greece		Yong Yue Xi'an Jiaotong-Liverpool University, China
Ranga Rao Venkatesha Prasad Delft University, Netherlands		Marcello Trovati Edge Hill University, UK		Bill Karakostas Inlecom Systems, Belgium

Program Committee

Hailu Xu——California State University Long Beach, USA

Bo Jiang——Beihang University, China

Sansanee Auephanwiriyakul——Chiang Mai University, Thailand

Publication Chairs

Vinod Kumar Verma Sant Longowal Institute of  Engineering and Technology, India		Juntao Fei Hohai University, China

Finance Chair

Shichang Xuan Harbin Engineering University, China

2023 Speakers

Keynote Speaker Ⅰ

Dr. Gautam Srivastava

Brandon University, Canada

Senior Member of IEEE

Speech Title: Blockchain Technology for the Internet of Medical Things

Abstract: The healthcare industry has been at the cutting edge of technology since time immemorial. Hardware, software, medication, surgical procedures; the quality of care available to patients in 2022 has never been better. And yet, the administration and data management underpinning that care is severely lagging behind. In this talk, we will examine how Blockchain Technology may be a game changer for the Medical profession. The technology most commonly associated with Bitcoin could actually transform how we manage electronic medical records (EMR). Deploying EMR using blockchain has the potential to fundamentally disrupt the healthcare industry for good. During this tutorial, we will look at the pros as well as the cons of such implementations. We will dive into current research that is ongoing in this growing field and try to predict future directions this research may take. 

A short introduction to Dr. Gautam Srivastava: 

Dr. Gautam Srivastava (Senior Member, IEEE) has extensive Editorial Experience including IEEE Trans on Fuzzy Systems, IEEE Trans on Industrial Informatics, Computer Standards and Interfaces, Applied Stochastic Modeling and Business, Information Sciences, IEEE Transactions on Computational Social Systems, ISA Transactions, IEEE Intelligent System, and IEEE Sensors. Dr. Gautam Srivastava was awarded a B.Sc. from Briar Cliff University in Sioux City, Iowa, the U.S.A. in 2004, followed by an M.Sc. and Ph.D. from the University of Victoria in Victoria, British Columbia, Canada, in the years 2006 and 2012, respectively. He then worked for 3 years at the University of Victoria in the Department of Computer Science (Faculty of Engineering), where he was regarded as one of the top Undergraduate professors in Computer Science Course Instruction at the University. From there in 2014 he started a tenure-track position at Brandon University in Brandon, Manitoba, Canada, where he currently at the rank of Professor. Dr. G (as he is popularly known) is active in research in the fields of Data Mining and Big Data. During his 10-year academic career, he has published a total of 400 papers in high-impact conferences and journals. He has also given guest lectures at many Taiwan universities in Big Data. He currently has active research projects with other academics in Norway, Taiwan, China, Canada, and the U.S.A.