Creative Art

I like to learn new things and try new things

  • New AI tools generate a short movie for The Univerity Open Day "IT Course Introduction"
  • Big Data Analytics
  • Machine Learning
  • Data Modelling and Data Structure
  • Semi-structured Databases
  • Technologies for e-Commerce
  • Financial Risk Analysis and Management
  • Database management
  • Distributed computing

New AI tools generate shot movie for The Univerity Open Day

Biography

Dr. Gangmin Li is a Senior Lecturer in Data Science and AI at University of Bedfordshire, visiting professor at Xi'an Jiaotong-Liverpool university and University of Liverpool. He received his Ph.D. from The Open University at 1999 with a subject on Multi-agent systems controlling multiple robots cooperation.

After his PhD degree, he has worked in 4 British Universities and 2 Chinese Universities for over 35 years for teaching, research and administrative works.

Research

His research interests include Data Science, Distributed AI, Knowledge Engineering (KE), Agent and Multi-agent Systems, Grid Computing and HCI.

He has published over 80 Journal and Conference papers. He has served as a number of academic journal editors and international conference technical committee members. He has obtained over 200K fund from government and industry. He has been guest speakers in many international conferences and round-table discussion.

Teaching

He has supervised two PhD students to completion and three PhD students on going

He has supervised over 50 master students for their M.Sc. and M.Phil. degree dissertation

He has supervised over 200 UG students for their Final Year Projects (FYP) in wide variety of subjects.

He has taught both PG and UG modules include:

  • Artificial Intelligence
  • Big Data Analytics
  • Machine Learning
  • Data Modelling and Data Structure
  • Semi-structured Databases
  • Technologies for e-Commerce
  • Financial Risk Analysis and Management
  • Database management
  • Distributed computing

He has been a guest lecturer for many industrial short-term training courses. He has delivered courses related with Fintech, Disruptive technologies and AI for international companies and governments.

He has published a textbook in title of "Foundation for Big Data Analytics: Concepts, Technologies, Methods and Business" (ISBN: 978-7-03-058148-8)

He has produced a number of Online Tutorials

His book "Data Enginnering with R" is online

Industrial Consultancy and Collaboration

He has wide industrial connections and worked with IBM, Oracle and Microsoft, Baidu and iFlyTek, etc.

He has extensive experience work with industry with SMEs for consultancy and application development using IOT, Big Data and Machine Learning technologies.

He has worked on projects related in Knowledge abstraction using Knowledge graph, Business intelligence with Data mining, Web scrapping and Agent technologies

He has worked on projects related with NLP using Deep learning and NN technologies for Text summary and understanding.

He has worked on projects related data mining, cleaning, transformation and analyses, visualisation and reporting

He has worked on data analysis for Medical Care, Financial risk assessment, price prediction and fraud detection

Please, read CV for research experience, awards, and achievements

Last updated: March 24, 2022