Dec 2025
Dr Joseph Farrington wins the OR Society’s prestigious Doctoral Award for his outstanding PhD research at UCL. His work brings together operational research, machine learning, and high-performance computing to develop scalable, real-world solutions for platelet inventory management in hospital blood banks.
Nov 2025
Dr. Li and team wins the Best Oral Presentation Award at the 6th International Symposium on Artificial Intelligence for Medical Sciences (SAIMS 2025) in Wuhan for their work “Advancing Blood Glucose Prediction through Machine Learning and Deep Learning Models in Simulated and Real-World Environments.”
Oct 2025
Dr. Li and team receive the Outstanding Oral Presentation Award at IEEE GCCE 2025 for their paper “A Multi-Class Valvular Heart Disease Diagnosis System Using a Two-Stage Lightweight Model.”
Jul 2025
Dr. Li was invited as speaker for the workshop of AI and applications in healthcare for Peking University, Oxford Campus.
Jun 2025
Dr. Li and team wins the Best Application Award at the IEEE Global Blockchain Conference in Shanghai, receiving a 1000 USD prize for their innovative project.
May 2025
Thomas Frost wins 1st Prize at the Institute of Health Informatics Three Minute Thesis Competition for his talk “Optimisation of Titrable Infusions in the ICU using Reinforcement Learning,” supervised by Prof. Steve Harris and Dr. Kezhi Li.
May 2025
Amelia participates in the FPHS AI & Digital Health Hackathon, selected as the overall winners among more than 20 students across the faculty.
May 2025
AI4H’s collaborator at Imperial College, Dr. Zhipeng Wang, will start his lectureship in University of Manchester, focusing on AI privacy and safety.
Apr 2025
Hengrui Zhang presents his work on IDF World Diabetes Congress 2025 in Bangkok, Thailand.
Apr 2025
Dr. Li becomes a Fellow of BCS (British Computer Society).
Feb 2025
Joe Farrington successful defend his viva with topic “Machine learning and GPU-accelerated computing applied to platelet inventory management in a hospital blood bank”. Congratulations!
Feb 2025
Joe Farrington’s paper “Going faster to see further graphics processing unit-accelerated value iteration and simulation for perishable inventory control using JAX” is published on Annals of Operations Research
Feb 2025
Dr. Zhiqiang Huo published paper “Dynamic mortality prediction in critically Ill children during interhospital transports to PICUs using explainable AI” on NPJ digital medicine, and start his lectureship in Queen Mary University of London.
Feb 2025
Chengzhe Piao’s paper “GARNN an interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series” has been published on Neural Networks.
Jan 2025
Thomas Frost and Hengrui Zhang have been awarded UCL CDI Innovation 2024 scholarships for their PhD project, with to $5,000 USD in AWS credits each person.
Dec 2024
Dr. Li becomes a Fellow of the Royal Society for Public Health.
Dec 2024
Thomas Frost presented his paper “Robust Real Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning” in the ML4H Conference in Vancouver 2024 and published a paper in the conference proceedings (accept rate is 27%).
Nov 2024
Dr. Li won the UCL Advancing PI Leader.
Sep 2024
Hengrui Zhang received an award from the UCL Library Open Science Community as a runner-up in the UCL Open Science and Scholarship Award, under the category of Academic staff/PhD students - Open source software/analysis tools.
Sep 2024
Zhijun Guo, Joseph Farrington and Ken Li published “Large Language Models for Mental Health Applications - A Systematic Review” in JMIR Mental Health.
Aug 2024
Zhijun Guo and Ken Li published “Evaluating the Feasibility and Acceptability of a GPT-Based Chatbot for Depression Screening - A Mixed-Methods Study” in Artificial Intelligence in Healthcare.
July 2024
Joe Farrington attended 50th annual meeting of the EURO Working Group on Operational Research Applied to Health Services. Oral - Charting the Pareto frontier - Multi-objective optimization for platelet inventory management using neuroevolution.
June 2024
Joe Farrington’s AI software won the Healthcare Partnership of the Year category at the London Higher Awards 2024.
May 2024
Joe Farrington attended UKRI AI CDTs in Healthcare Conference. Poster - Many happy returns - a machine learning-based allocation policy to support platelet waste reduction in hospital blood banks.
May 2024
Chengzhe Piao attended UKRI AI CDTs in Healthcare Conference. Poster - Privacy Preserved Blood Glucose Level Prediction by Federated Learning.
Feb 2024
Chengzhe Piao attended ATTD’24. Poster - Personalized Blood Glucose Level Prediction Leveraging Population Features by Decentralized Federated Learning.
Nov 2023
Joseph Farrington and Ken Li published “Machine learning in transfusion medicine - A scoping review” in Transfusion.
Oct 2023
Welcome Hengrui Zhang to join the group as a new PhD student!
Oct 2023
Taiyu Zhu and Ken Li published “Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 Diabetes” in IEEE Journal of Biomedical and Health Informatics.
Oct 2023
Joe Farrington attended British Blood Transfusion Society Conference. Poster - Many happy returns, a machine learning-based allocation policy to support platelet waste reduction in hospital blood banks.
Sep 2023
Zhiqiang Huo and Ken Li published “Distribution and trajectory of vital signs from high-frequency continuous monitoring during pediatric critical care transport” in Intensive Care Med. Paediatr. Neonatal.
July 2023
Welcome Nicola Oginni to join the group for a summer internship.
July 2023
Joe Farrington attended INFORMS Healthcare Conference. Oral - Going faster to see further, GPU-accelerated value iteration and simulation for blood product inventory management.
July 2023
Joe Farrington attended 49th annual meeting of the EURO Working Group on Operational Research Applied to Health Services. Oral - Reducing platelet wastage with a machine learning-based allocation policy.
May 2023
Joe Farrington attended UKRI AI CDTs in Healthcare Conference. Oral - Going faster to see further, GPU-accelerated value iteration and simulation for blood inventory management using JAX.
March 2023
Ken Li published “Classification of Lapses in Smokers Attempting to Stop, A Supervised Machine Learning Approach Using Data From a Popular Smoking Cessation Smartphone App” in Nicotine & Tobacco Research.
Feb 2023
Chengzhe Piao attended ATTD’23. Poster - Blood glucose level prediction, an explainable graph-based method.
Feb 2023
Welcome Zhijun Guo to join the group as a new PhD student!
Sep 2022
Joe Farrington attended BioMedEng Conference Sep. Poster - Deep reinforcement learning for platelet inventory management.
Sep 2022
Chengzhe Piao attended BioMedEng Conference Sep. Oral - Blood glucose level prediction for type 1 diabetes via Federated Learning.
July 2022
Joe Farrington attended 48th annual meeting of the EURO Working Group on Operational Research Applied to Health Services. Oral and poster - Deep reinforcement learning for platelet inventory management.
June 2022
Joe Farrington attended Early Career Researchers in Mathematics Conference. Oral - Deep reinforcement learning for platelet inventory management.
May 2022
Joe Farrington attended UKRI AI CDTs in Healthcare Conference. Oral and poster - Deep reinforcement learning for platelet inventory management.