The 6th International Conference on Modern Management based on Big Data (MMBD 2025)

Track on "Applied-education and applied-research in AI, Data Science, and Web6.0"

Description:

This is an applied-education and applied-research track. This track focuses on using AI, Data Science, and Web 6.0 technologies to create novel learning content and environment to learners, and novel business applications in business, finance, healthcare, entrepreneurship, etc. Technical papers, business applications and case studies are welcome. Some papers will be nominated to submit to a journal after revision. All posters, student papers, academic papers and industrial papers are welcome.

Notes: The Track will set four best papers that will be selected by the track chair and the chair will deliver the certificates to the winners at the end of the track.

(1) Best applied research paper award
- research originality (literature review) and link the theory and concepts to the market or industry
- scientific research method, with critical thinking and logical thinking to support its argumentation (literature review and discussion)
- well document the experimental results, well paper organisation, layout and presentation
- with innovation and impact

(2) Most impact paper award
- solved existing industrial problems
- the invention with long run impact to the companies, industry, society, or community (number of company and/or people)
- with company case currently used its invention of the paper

(3) Most innovative award
- point out the research gaps of two fields in market and/or research
- novel method or approach to solve it that no one does before
- experimental proof the innovation when comparing existing methods in different fields

(4) most industrial practical award
- Address the need of the company or society, - Not a conceptual idea but is an application or tool or a well-document format
- In live application already or a company case used it

Topics include, but not limited to:

Submission Deadline for Full Papers: June 6, 2025
Submission Deadline for Abstracts (without full paper publication in conference proceeding or related journals): June 6, 2025

This track is now open for submission and registration. Please submit your abstract/full paper via the Submission System and choose the option of Track on "Applied-education and applied-research in AI, Data Science, and Web6.0". After that, you can make the conference registration directly via the Registration Page or the conference secretary will contact you for further information.

Dr. Adela Lau is the Deputy Director of HKU SAAS Data Science Lab, Division of Statistics and Actuarial Science, School of Computing and Data Science of the University of Hong Kong. Dr. Lau published over 60 journal and conference papers and funded over 50 research and industrial collaboration and consultancy projects in the area of machine learning, business intelligence, text analysis, network analysis, social media and big data analytics, AI and Mixed Reality in metaverse, intelligence applications, risk management, information system adoption, ontology/taxonomy building, business process re-engineering, portal design, knowledge management, e-learning, public/community health studies, healthcare systems and nursing clinical quality control & assessment. She gained several awards including NANDA Foundation Research Grant Award (USA), Faculty Merit Award in Services (HK), and Inaugural Teaching and Learning Showcase Award (HK). She was the former director of Center for Business Development at Madonna University in USA, and the co-director of the Center for Integrative Digital Health at Hong Kong Polytechnic University (PolyU) and leaded the IT team for healthcare product innovation. Dr. Lau was an active committee member of Knowledge Management Research Center at PolyU and Data Science Center at Hong Kong University of Science and Technology (HKUST), in which she initiated and developed industrial applied-research consultancy projects. She was also the UG coordinator of the Risk Management and Business Intelligence Program at HKUST, and was responsible to lead, execute, and coordinate the program works including curriculum design, enrichment programs, and administration across three schools of business, science, and engineering.