The 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024)
Speakers
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Keynote Speakers


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Prof. Yanhong Guo

School of Economics and Management, Dalian University of Technology, China

Research Areas

Management decision based on big data analysis; Swarm intelligence and decision making based on machine learning; Data driven besed marketing decions making in Internet

Brief IntroductionDr. Yanhong Guo is a professor at Dalian University of Technology, China, who is a committee member of Intelligent Service Committee of Chinese Artificial Intelligence Association and the committee  member of the Big Data Committee of Chinese Computer Association. She obtained Ph.D. degree in Management Science and Engineering from Dalian University of Technology, China. In recent years, her research has focused on the application of machine learning and artificial intelligence methods in the field of smart finance. She has presided over 2 national projects including the National Natural Science Foundation of Chinese General Project and the National Natural Science Foundation of Chinese Youth Project. Her publishes are in European Journal of Operational Research, SIG KDD etc. She has proposed “Instance based credit risk assessment” method in the field of P2P lending, and this method open up a new research perspective in field of risk assessment under the context of big data nowadays. This method got a lot positive ratings and citations by many international famous scholars. International Journal of Operations and Production Management (CABS 4*).  He is also an active external examiner for multiple universities in the UK, Ireland and China.

Speech Title: Writing Quality and Soft Information in the GenAI Age: Evidence from Online Credit Markets



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Assoc. Prof. Kris Law

Deakin University, Australia

Research Areas

Organizational studies (Learning and Development, innovation systems); Systems thinking driven methodology (Systems Engineering and Management); Technological Innovative Entrepreneurship; Data Driven Product Development; Learning analytics


Brief Introduction: A/Prof Kris Law holds a PhD in Organizational Learning and an MPhil in Machining Processes, both obtained from the City University of Hong Kong. Upon her PhD, she undertook a post-doctoral research scholarship at the Graduate Institute of Industrial Engineering, National Taiwan University on a regional high-tech industry study. Her expertise lies in Organizational Learning and Development (OLD), Technological Innovation and Entrepreneurship (TIE), Systems Engineering and Management (SEM), Sustainable Complex Systems, and Learning Analytics Before joining the Institute for Intelligent Systems Research and Innovation (IISRI), Kris was an associate professor in engineering management & education at the School of Engineering, Deakin University. Kris is also experienced in educational development and excellence in higher education, specialising in learning analytics and evaluation. Besides, she has been awarded the title of Docent in Industrial Engineering and Management by Oulu University, Finland for her outstanding achievements in the field. 


Speech Title: Intelligence-Driven Approaches to Strategic Organizational Knowledge Management


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Prof. Xiongfeng Pan

Dalian University of Technology, China

Research Areas

Regional innovation system, spatial economics and energy economics

Brief Introduction:  

Prof. Xiongfeng Pan earned his Bachelor's degree in Welding Technology and Equipment from Tianjin University (1998-2002) and his Master's and Doctoral degrees in Management Science and Engineering from Dalian University of Technology (2002-2007). He has been with Dalian University of Technology since October 2007, serving as a lecturer, associate professor, professor, and doctoral supervisor. Notably, he was recognized as a "Technology Cultivation Star" in Dalian in 2015 and as an "Innovative Talent in Higher Education" in Liaoning Province in 2020. In addition to his academic roles, he serves as the associate editor of the International Journal of Climate Change Strategies and Management and is a council member of the Energy Economics and Management Branch of the China Society for Optimization, Overall Planning and Economic Mathematics, as well as a member of the China Technology Economics Forum.

Speech Title: The influencing mechanism of population aging and sub-replacement fertility on carbon efficiency:an empirical analysis based European Economic Area


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Prof. Hua Wang

Zhejiang University, China

Research Areas: 

Finance, FinTech, BlockChain,Economics

Brief IntroductionProfessor, Ph.D. (University of Tokyo), CFA, Director of Financial Innovation and FinTech Research Center.

Dr Wang has more than 10 years of professional and research experiences in international capital markets, financial products, FinTech, etc.,and 5 years as a senior Research Fellow at China Institute of Finance and Capital Markets. Dr. Wang has excellent proficiency in English and Japanese, with long-term international experience in Tokyo, London and Hong Kong, etc. He also participated in a number of research projects focusing on financial markets and government policies, and published tens of research articles and papers.

Speech Title: Introduction of AI and LLM Approach for Finance