2024 9th International Conference on Modern Management, Education and Social Sciences(MMET 2024)

Speakers



Speakers

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Prof. Bai Zhenggang

School of Public Affairs, Nanjing University of Science & Technology, China

Research Area:

Marxist Methodology, Evidence-Based Social Science, Active Aging


Experience: 

Zhenggang Bai is a professor and Director of the Center for Evidence-Based Social Science and Health Research at Nanjing University of Science and Technology. Prof Bai received a joint doctoral degree of the major Integrated Traditional Chinese and Western Medicine Clinical from Lanzhou University and the University of Southern California in 2011. He specializes in evidence-based elderly mental health, medical social work, and evidence-based social science research. He has led 8 research projects funded by the National Natural Science Foundation, the National Social Science Fund, the Ministry of Education, and Jiangsu Province. Bai has authored over 50 SCI/SSCI papers, including Lancet Public Health, Journal of Clinical Epidemiology, and 28 papers in Chinese core journals, focusing on topics such as elderly mental health and evidence-based methodology. Bai also holds various academic positions, including Vice Chairman/Executive Member of the Medical Social Work Professional Committee of the Chinese Geriatrics Society, Director of the Clinical Research Branch of the China Association for Traditional Chinese Medicine Information Research, and Member of the Second Technical Committee for Standardization of Elderly Care Services in Jiangsu Province.

Title:Evidence-based social science:An international language for multidisciplinary knowledge transformation and fairly dialogue

Abstract: Social science in China entered a new development period. The complex social problem could not be solved depending on one subject. Evidencebased social science is a tool for interdisciple collaboration and an international dialogue language, which conception originated in medicine, after many years of development, formed evidence-based corrective science, evidence-based education, evidence-based management, evidence-based social work, and other multidisciplinary evidence - based practical  science. In the current development process, the number of research literature in the field of domestic social science has been increasing, the scope of development has been expanding and accelerating year by year, and the variety of magazines publishing evidence-based practice has gradually increased, but it is also facing problems in concept change,methodological transformation, service support, and supervision. In short, Chinese􀆳s social science is currently in a new stage of development, and many are

as of social science need to study micro and macro issues, still need to emphasize the reference to reliable evidence for decision-making, decision-based effective service practice, the practice of research into future decision - making evidence

and improve the discipline theory, so as to achieve the effective transformation of research-decision-practice. Social science in China should have more international communication and dialogue because the experience and wisdom from China are also important for other countries. 







Prof. Mouquan Shen

Nanjing Tech University, China

Research Area:

Data-driven control, artificial intelligence, smart grid, machine learning, robust control, etc.


Experience: 

Postdoctoral fellow, Southern University, Visiting Scholar, University of Adelaide, Australia. In 2015, it was selected as the 12th batch training object of "Six Talents Peak" in Jiangsu Province; 2015 Nanjing University of Technology "NUGong Elite Nine Thought Award" and 2014 Nanjing University of Technology "NUGong Group Award"; In 2014, the sixth "Yalong Cup" National College students Intelligent Building Engineering practical skills Competition special award instructor. As the person in charge, he presided over 5 projects above the provincial and ministerial level, such as the National Natural Science Foundation, the New Teachers Fund for doctoral programs of the Ministry of Education and the Natural Science Fund of Jiangsu Province. In the past five years, he has published more than 30 SCI indexed papers, including 26 first authors, 18 corresponding authors, 3 ESI hot papers and 5 ESI highly cited papers. Some results have been published in IEEE Transactions on Automatic Control, IEEE Transactions on Cybernetics, and IEEE Transactions on Systems, Man, and Cybernetics: Systems and other journals. He is a reviewer of IEEE TAC, Automatica and other domestic and foreign journals, and also a correspondence reviewer of the National Natural Science Foundation.



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Prof. Jiafu Su

Chongqing Technology and Business University, China

Research Area:

Multi-attribute decision theory and method; Collaborative innovation complex system management; Innovation network knowledge management; Supply chain collaboration


Experience: 

He is currently the director of Computer Integrated Manufacturing Systems (EI), the editor of International Journal of Technology Management (SSCI), and the Chairman of MSIE2021, a high-level international conference on Industrial Engineering and Management. As well as reviewers of high-level academic journals at home and abroad, such as Journal of the Operational Research Society, Knowledge-based Systems, Journal of Zhejiang University and Computer Integrated Manufacturing Systems. He has given keynote academic reports at international high-level academic conferences on knowledge management and innovation management such as AOM, IJCAI and MSIE for many times, and exchanged research results on collaborative innovation knowledge management.