Nanlin Jin specializes in theoretical research on drift detection, real-time anomaly detection, and data fusion. From 2019 to 2021, she led the EU-funded project ‘Artificial Intelligence-Empowered Health and Safety Monitoring’ (ERDF 25R17P01847), producing a series of outcomes in machine learning, big data, and multimodal analysis, with publications in journals such as Information Sciences, Knowledge-Based Systems, and IEEE Transactions on Industrial Informatics.

Between 2022 and 2024, she contributed to the project ‘Sustainable Personal Computing Devices via Energy Harvesting and Intelligent Battery Management Systems’ at the AI Research Centre of Xi’an Jiaotong-Liverpool University, focusing on multi-sensor data fusion, anomaly detection, and resource optimization.

She currently leads or participates in projects involving reinforcement learning for brain-computer interaction, deep learning for drift detection in noisy data streams, and AI-based ECG analysis.

Nanlin actively collaborates with industry on R&D. Recent joint innovations (2024–2025) include:

1. Lightweight multimodal algorithms for automated pain detection.

2. Text-to-speech collaborative generation using LLMs with low-rank adaptation, activation-aware weight quantization, and knowledge distillation.

 Dr Nanlin Jin’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 by REF2021. REF is the UK national research assessment and undertaken by the four UK higher education funding bodies. It runs every 7 years.

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.

She is interested in supervising PhD /MSc/FYP student projects in: Data stream mining, Machine learning, Reinforcement learning for Robot, and Brain Signals Analysis. 

Data mining

Machine Learning

Reinforcement learning in Robotics

Industrial Informatics 

AI+Education

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.

CPT202 - Software Engineering Group Project

CPT203 - Software engineering

CPT406 - Artificial intelligence

CPT111 - Java Programming

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