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Nanlin Jin

Associate Professor

20052026

Research activity per year

Personal profile

Personal profile

Dr Nanlin Jin specializes in theory and application of AI and data mining.  At the moment, two projects are inviting applicants:  
-    A XJTLU-XJTU-UoL PhD Project ‘’New digital and AI-empowered research methodologies to improve efficiency of public health management’’.
-    A multidisciplinary project  “Using AI agents to strengthen Chinese early childhood teachers’ wellbeing”, for XJTLU undergraduate and master students to join.

Nanlin’s research has delivered international impact, which was recognized by UK Research Excellence Framework (REF2021). It is published into an Impact case study: Improved Interoperability and Data Sharing on the Internet of Things. She worked as senior lecturer in the UK, prior to joining Xi’an Jiaotong-Liverpool University. She has been PI or Co-I to the projects funded by Innovate UK, UK EPSRC, UK NERC, EU and industry, in the areas of data mining and AI-IoT. 

Research interests

Data mining

Machine Learning

Reinforcement learning in Robotics

Industrial Informatics 

AI+Education

Experience

Lecturer, Senior Lecturer in Computer Science. Northumbr.ia University at Newcastle, UK.

Role: Erasmus / Student Mobility coordinator

Post-doc Research Associate. University of Bristol, UK.

Teaching

CPT202 - Software Engineering Group Project

CPT203 - Software engineering

CPT406 - Artificial intelligence

CPT111 - Java Programming

Awards and honours

UK REF Impact case study : https://results2021.ref.ac.uk/impact/47e7f53d-b42d-4801-bb2b-1328c14b84e6?page=1

Education/Academic qualification

Postgraduate Certificate of UK Higher Education Practice

PhD in Computer Science, University of Essex, UK

Research areas

  • Data Mining and Machine Learning
  • Internet of Things (IoT)
  • Robotic Applications
  • AI for healthcare

Keywords

  • Q Science (General)
  • Computer Science
  • Machine learning
  • Data Mining
  • Robotics
  • L Education (General)
  • AI-enhanced Learning

Person Types

  • Staff

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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Collaborations and top research areas from the last five years

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