| Jan 05, 2025 | We welcome PhD applicants to apply for the EPSRC Centre for Doctoral Training in Data-Driven Health (DRIVE-Health) programme for our project Multimodal dental AI with uncertainty quantification. The application deadline is 30th January, 2025. See Openings for available PhD positions in the group. |
| Dec 18, 2024 | Our paper Normalizing Flow-based Differentiable Particle Filters has been accepted at IEEE Transactions on Signal Processing. Congratulations Xiongjie! |
| Dec 15, 2024 | We are recruiting! A fully-funded PhD position is available in the broad areas of multimodal AI and digital healthcare. |
| Dec 02, 2024 | I was selected into the Royal Academy of Engineering Explore 4.0 cohort to explore new ecosystems for our work on AI-assisted dental disease detection. |
| Nov 21, 2024 | I gave a talk on Normalizing Flow-based Differentiable Particle Filters at the KCL Statistics Seminar. |
| Nov 15, 2024 | I introduced our AI-assisted radiograph-based dental disease detection tool, undergoing internal testing via becertain.ai, at the Royal College of Surgeons of England workshop on AI and Digital Innovation in Dentistry and Oral Health. |
| Nov 04, 2024 | Owen Addison and I published an opinion piece at BDJ in Practice to discuss our NIHR-sponsored project and becertain.ai |
| Oct 01, 2024 | Dr Xiongjie Chen, Zhi Qin Tan, and John-Joseph Brady completed their transfer from the University of Surrey to King’s College London as inaugural members of the Statistical Machine Learning Lab based in the Centre for Oral, Clinical & Translational Sciences. |
| Sep 30, 2024 | Zhi Qin Tan presented Bayesian Detector Combination for Object Detection with Crowdsourced Annotations at ECCV’2024 in Milan, Italy as his first paper in PhD. The work is in collaboration with Olga Isupova, Gustavo Carneiro, and Xiatian Zhu. |
| Sep 01, 2024 | We started the HumBug II project in collaboration with the Oxford team led by Kathy Willis and Steve Roberts. The project is sponsored by the Natural Environment Research Council in its Innovation in Environmental Monitoring programme. |