The 4th International Conference on Economic Management and Big Data Applications (ICEMBDA2023)



Prof. Guangfei Yang

Dalian University of Technology

Research Area:Interdisciplinary research on big data, artificial intelligence and environmental management

Research experience: 

Prof. Guangfei Yang received his doctoral degree at Waseda University in 2009. He has been a full professor at Dalian University of Technology since 2016. His research interests include intelligent model building based on big data and artificial intelligence. He has published more than 70 research papers in Decision Support Systems, Information Sciences, Expert Systems with Applications, Applied Soft Computing, Swarm and Evolutionary Computation, Journal of Environmental Management, Environmental Research, Energy Policy, Energy and Buildings, Sustainable Cities and Society, Science of The Total Environment, Journal of Cleaner Production, etc. 


Prof. Jianguo Liu

Shanghai University of Finance and Economics

Research Area:Social big data, knowledge management and business intelligence

Research experience: 

Jianguo Liu is a Chair Professor of the School of Accounting, Shanghai University of Finance and Economics, and serve as the Vice President of the Institute of Financial Technology. He was the Research Fellow of Said Business School of Oxford University, Fellow of Green Templeton College of Oxford University, and Fellow of James Martin College of Oxford University. In 2016, he was awarded the "Youth Science and Technology Award" of the Chinese Society of Systems Engineering. He is in charge of 6 national research projects and has published 2 PNAS papers.


Prof. Ming Jin

ChengDu University of Information and Technology

Research Area:Government statistics, big data, game theory

Research experience: 

I have successively served as the director of the data mining and business intelligence teaching and Research Office of the school of statistics, the deputy director of the budget department of the financial department of the National Bureau of Statistics (may 2013-june 2014, temporary post), the deputy director of the school of statistics, the deputy director of the national economic comprehensive statistics department of the Chengdu Bureau of Statistics (may 2021-may 2022, temporary post), and the Secretary of the Party committee of the school of statistics; He also serves as the director of Chongqing Institute of statistics, the director of Sichuan Institute of on-site statistics, the member of the Teaching Steering Committee of economics and trade of Sichuan ordinary undergraduate colleges and universities from 2021 to 2025, the Undergraduate Teaching Steering Committee of Chengdu University of information technology from 2021 to 2025, and the member of the national statistical Vocational Education Teaching Steering Committee from 2021 to 2025. Research direction: government statistics and big data, presided over more than 30 projects, including 8 scientific research projects above the provincial and ministerial level, and published more than 20 academic papers, including 8 core ones.


Prof. Claudio J. Tessone

University of Zurich

Research Area:Blockchain, Cryptoeconomics, Complex Socio-economic systems

Research experience: 

Professor Claudio J. Tessone heads the Blockchain & Distributed Ledger Technologies group at the University of Zurich (UZH). He is also co-founder and Chairman of the UZH Blockchain Center. 

He studies blockchains as a paradigm of socio-economic complexity: linking microscopic agent behaviour, incentives (placed on purpose or inadvertently) and interactions with their emergent properties. The main pillars of his research include: consensus analysis and modelling (looking at the quality of consensus achieved in real-world situations, the effects of incentives and inequality effects of reward distribution), cryptoeconomics (inequality, centralisation, asset circulation and hoarding), large-scale blockchain analytics and forensics, design of token-based economies.


A. Prof. Sikandar Ali Qalati

Jiangsu University

Research Area:SME performance, technology adoption and Entrepreneurship

Research experience: 

A motivated Associate Professor with excellent educational credentials and hands-on experience in activities/event management, education, and research field. Skilled at performing quality control and managing several projects. Creates, develops, and fine-tunes various experimental study designs. Demonstrate excellent problem-solving skills with a keen eye for details; collaborate with faculty and students across different departments to conduct interdisciplinary research. Superb facilitator thrives in using managerial, interpersonal, communication, presentation, and persuasive abilities to conduct training programs and organize high-end professional courses.