The Dean’s Prize for Innovation and Impact in Doctoral Research has been awarded to Tasin Islam, who studied for his PhD under the supervision of Professor Yongmin Li and Dr Alina Miron in the Department of Computer Science. Congratulations!
Congratulations to Xiaohui Liu and Kezhi Wang for appearing in the highly cited researchers this year.
The group has had an extremely successful year with grants totalling over £3 million from EC Horizon, EPSRC, Innovate, NERC, & Others. As well as many publications in top class journals the following achievements have been made:
Isabel Sassoon:
Alina Miron:
Xiaohui Liu:
Allan Tucker:
Congratulations everyone!
Congratulations to:
Barbara Draghi for her paper “Bias-aware synthetic data generation: a tailored use case-driven approach” that had been accetped to the “4th Workshop on Bias and Fairness in AI” at the European Conference on Machine Learning 2024.
Barbara Puccio for her paper “Phenotype identification in pseudo time series: exploring trajectories in the ageing process” that has been accepted to the “9th Workshop on Data Science for Social Good” at the European Conference on Machine Learning 2024.
Congratulations to Ben Evans, who successfully defended his thesis entitled “Towards an Automatic Camera Trap Pipeline” this week! Good luck with the post doc at ZSL!
Congratulations to Ylenia Rotalinti for her successful presentation at IDA 2024. Lots of interest in the audience on her work in detecting dirft in healthcare data.
For more info on the project see the ZSL site
Congratulations to Ylenia Rotalinti for their successful application to host a workshop on Discover Drift Phenomena in Evolving Landscapes at KDD 2024
Congratulations to Barbara Draghi, Ashley Mann, and Ylenia Rotalinti on their recent publication success:
Draghi, B., Wang, Z., Myles, P. and Tucker, A. (2023) ‘Identifying and handling data bias within primary healthcaredata using synthetic data generators’. Heliyon, (accepted, in press).
Mann, A. EvoApp 2024, To Appear.
Rotalinti, Y., Myles, P., Tucker, A. ‘Predicting performance drift in AI models of healthcare without ground truth labels’, Proceedings of the 22nd International Symposium of Intelligent Data Analysis 2024, Springer, (in press)
