Dr Ester Bonmati Coll, Lecturer in Computer Science and Engineering, has received the Outstanding Area Chair Award at the 25th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2022).

Ester Bonmati leading discussion as an Area Chair MICCAI 2022 in Singapore

MICCAI is considered to be the top conference in medical image processing. The conference including the award ceremony took place between 18-22 September in Singapore. Dr Bonmati also co-chaired the first session of the conference on Computer Aided Diagnosis. 

The MICCAI conference is organised annually, inviting the world’s leading biomedical scientists, engineers and clinicians from a wide range of disciplines. The five-day conference includes presentations, poster sessions, workshops, tutorials and challenges. There are also industrial sessions and exhibitions to provide opportunities for exchange between academia and industry professionals. 

The Outstanding Area Chair Award is given to those Area Chairs who have done an excellent job in completing all of their tasks on time, proactively overseeing the review process, while providing constructive metareviews, and participating in discussions with the reviewers and fellow Area Chairs. From 107 Area Chairs, the awardees were selected by the Program Chairs of MICCAI 2022. 

Ester Bonmati at MICCAI 2022 Singapore, standing in the conference room

 

Talking about the award, Dr Bonmati said: "I feel truly honoured to receive the Outstanding Area Chair Award at MICCAI 2022. Area Chairs have the difficult task to ensure that the paper selection process is fair and of high quality, so it is fantastic that we are recognised for our work.
It was also a great pleasure to have the opportunity to co-chair the first session of the conference with Prof. Mads Nielsen, in which six speakers presented their excellent work on Computer Aided Diagnosis."

As a Lecturer at the University of Westminster, Dr Bonmati teaches on Computer Science and Engineering courses and supervises final year projects on medical imaging or computer vision. Her research focuses on the intersection of machine learning, medical image computing and computer assisted interventions. She is also a reviewer for several international conferences and scientific journals.

Learn more about Computer Science and Engineering courses at the University of Westminster.

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