Human-Centred Computing News
Best Paper Award at AISTATS 2022
Congratulations to Harita Dellaporta for receiving the Best Paper Award at the premier conference in Artificial Intelligence and Statistics (AISTATS) 2022 for her paper on Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap.
Dr Long Tran-Thanh Receives a 2021 Prominent AIJ Paper Award
We are delighted to report that Dr Long Tran-Thanh has received a AIJ Prominent Paper Award for his first-authored paper, Efficient crowdsourcing of unknown experts using bounded multi-armed bandits, published in 2014 at Artificial Intelligence (AIJ), a premier journal in the field of artificial intelligence. The AIJ Prominent Paper Award recognises outstanding papers published in the journal in the last seven years that are exceptional in their significance and impact.
The paper developed the first comprehensive framework for the rigorous and principled mathematical analysis of task allocation algorithms in crowdsourcing systems. In addition, the paper proposed bounded bandits, a new sequential decision making model to solve task allocation problems with resource constraints. The work has had a significant impact on subsequent work carried out in both industry and academia. The award will be presented at IJCAI 2021, a top tier international conference in artificial intelligence.
SEM Faculty Thesis Prize Awarded to Dr Simon Graham
We are pleased to report that Dr Simon Graham, Senior Research Fellow from the Department of Computer Science, has received a SEM Faculty Thesis Prize.
Each year, the Faculty of Science, Engineering and Medicine (SEM) funds a prize for the best PhD/EngD thesis in each of its ten departments. Each department nominates a winner out of the applications received after a judging process as determined by the Faculty.
Dr Simon Graham commented regarding his award:
My research focussed on the development of computational tools for the automatic analysis of digitised cancerous tissue samples. Now, I am continuing my research in the area of computational pathology and soon hope to see it utilised in a clinical setting, where it may help improve cancer recognition and treatment planning. I would like to thank my supervisor Professor Nasir Rajpoot and all my collaborators within the Tissue Image Analytics Centre and at University Hospitals Coventry and Warwickshire for their support during my PhD.