2023 5th International Conference on Information Technology and Computer Application (ITCA 2023)



Professor Bo Ai

IEEE Fellow,Beijing Jiaotong University, China

Professor Ai is a national Outstanding Youth, Excellent Youth, Newton Senior Scholar Fund, "National Science and Technology Talents Program", "Qiushi Outstanding Youth Award" of China Association for Science and Technology; "Outstanding Young Scholar of China Engineering Frontier", Chinese Academy of Engineering. Currently, he is Chairman of IEEE BTS Xi 'an Branch, Vice Chairman of IEEE VTS Beijing Branch, distinguished lecturer of IEEE VTS, member of Chinese Electronics Society, member of Chinese Communication Society, supervisor of Chinese Communication Society Supervisory Board, and expert of National 6G General Group. 

He has published more than 150 papers in IEEE journals, more than 11,000 academic citations in Google, and 13 paper awards from IEEE Globecom and other international conferences. It has obtained 32 authorized invention patents; It has won 9 provincial and ministerial science and technology awards. The research results have been included in five national industry standards, and the results have been applied to Beijing-Shanghai high-speed railways and the construction of over 100 railway lines covering more than 30,000 kilometers. 



Professor Simon CHEUNG King-sing

IET fellow, IMA fellow, BCS fellow, HKIE fellow, HKCS fellow, Hong Kong Metropolitan University, China

Dr. Cheung is currently the Director of IT at the Hong Kong Metropolitan University. He received his BSc and PhD in Computer Science from the City University of Hong Kong, and was admitted as IET fellow, IMA fellow, BCS fellow, HKIE fellow, HKCS fellow. He is active in research, with near 200 publications in the form of books, book chapters, journal articles and conference papers in two distinct areas, namely, innovation and technology in education, and software and system engineering. He won the Outstanding Research Publication Award from the Open University of Hong Kong in 2016, the 1st class Achievement in Computer and IT from Shenzhen Science and Technology Association in 2016, the 1st class Outstanding CIO Award from the Hong Kong IT Joint Council in 2015, and an Honoree for IT Excellence from the CIO Asia in 2015. He has been listed in the Who’s Who in Science and Engineering since 2007. 

Title:Cloud Deployment of Enterprise Systems on 3-Tier Architecture for Cost-Performance Balance

Abstract: It is widely accepted that cloud deployment of enterprise systems can achieve an optimal cost-performance balance. This presentation reports a successful case of hybrid cloud deployment of an enterprise system which used to handle a large volume of concurrent accesses and transactions at seasonal peaks. The enterprise system adopts a typical 3-tier architecture, comprising a web tier, an application tier and a back-end database tier. The web tier and application tier are deployed on hybrid cloud with the back-end databases resided on premises. The objective is to achieve an optimal cost-performance balance while attaining an acceptable level of resilience and security control. In this presentation, the design and implementation is described, and the challenges are discussed. Technical evaluation is conducted to show the cost and performance in different environmental settings. It is also discussed how an optimal cost-performance balance can be derived effectively. 


Professor Yanguo Jing

Leeds Trinity University, UK

Professor Dr Yanguo Jing is the Dean of the Faculty of Business, Computer Science and Digital Industries, Leeds Trinity University. He is a Professor of Artificial Intelligence. He has a PhD (Heriot-Watt University, UK), a MSc, a 1st class BSc (Hons) in Computer Science and a PGCert in Learning and Teaching in Higher Education. He has over 20 years’ teaching, research and enterprise experience in the UK and in China. Yanguo is a Certified Management & Business Educator, a Fellow of the British Computer Society, a Charter IT professional and a Principal Fellow of the Higher Education Academy in the UK. Prof. Jing’s prime research interests are AI and big data. His recent research work focuses on the use of machine-learning methods to capture interaction and user behaviour patterns that can be used to develop intelligent applications. This research has been applied in applications such as business analytics, sports analytics, and user behaviour pattern recognition in social networks and extra-care/ Assisted Living settings. He participated in several research, KTP and consultancy projects with sponsors and clients such as Cadent Gas, Pfizer, Welsh Government, KPIT, UK’s Comic Relief charity and JISC in the UK.


Professor Nianbing Zhong

Chongqing University of Technology, China

He received his Ph.D. degree in power engineering and engineering thermophysics from Chongqing University, Chongqing, China, in 2013. He has been a visiting scholar at the Biodesign Swette Center of Arizona State University, USA, from 2017 to 2018. His current research interests include foptoelectronic functional materials and devices, intelligent optical fiber sensing theory and technology, optoelectronic detection instruments, etc. He is serving as professor and vice dean of the School of Electrical and Electronic Engineering, vice director of the Intelligent Fiber Sensing Technology of Chongqing Municipal Engineering Research Center of Institutions of Higher Education, and vice director of the Chongqing Key Laboratory of Fiber Optic Sensor and Photodetector at Chongqing University of Technology (CQUT), Chongqing, China. He is also professor of the international cooperative education both Liangjiang International College of CQUT and Korea Advanced Institute of Science and Technology (KAIST). He has undertaken >20 projects funded by the National Natural Science Foundation of China (3 NSFC), National Key Research and Development Program of China, Innovation Research Group of Universities in Chongqing, etc. Furthermore, he has been awarded as Chongqing Yingcai·Innovation and Entrepreneurship Leading Talents of China. He has more than 100 peer-reviewed journal and conference papers. According to Scopus his work has been cited ca. approximately 1500 times in peer-reviewed press. He has obtained ~30 Chinese authorized invention patents, formulated 3 local standards, published 2 English works, and won 6 provincial and ministerial awards (1 first prize, 1 second prize). Prof. Zhong serves as the editorial board member of International Journal of Hydromechatronics, Current Chinese Chemistry, Laser Journal, and Journal of Chongqing University of Technology (Natural Science). He has chaired the 5th International Conference on Information Science and Applied Technology.


Professor Chunquan Li

Nanchang University, China

Chunquan Li received his Ph.D. from Nanchang University in 2014. He is currently a Professor, Ganjiang Distinguished Professor, and Deputy Director of Jiangxi Provincial Key Laboratory of Intelligent Information System, School of Information Engineering, Nanchang University, Nanchang, China. He was also a a Visiting Professor with the Department of Systems and Computer Engi neering, Carleton University, Ottawa, ON, Canada.

Prof. Li’s research interests include Haptics interaction, virtual surgery, teleoperation robots, intelligent human-machine interaction, computational intelligence, and their applications to biomedical engineering and human-machine interaction. He has published more than 50 publications in international journals like IEEE Transactions on Fuzzy Systems, IEEE Transactions on Industrial Informatics,  IEEE Transactions on Cybernetics, IEEE Transactions on Affective Computing, IEEE Transactions on Intelligent Transportation Systems, IEEE-ASME Transactions on Mechatronics, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Human-Machine Systems, IEEE Transactions on Cognitive and Developmental Systems etc., and serves as reviewers for several top international journals and conferences. 

He has received various awards: Baogang National Excellent Teacher Award, IEEE Third Prize in "Online Data Driven Optimization" , the second prize of Jiangxi science and technology progress, etc.