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PGR Seminar – Erdem Kus & Junyu Zhang

You are warmly invited to the next PGR Seminar. Date & Time: Monday 20/10/2025 14:00-15:00 Location: JC 1.33A Speaker: Erdem Kus Title: Frugal Algorithm Selection for Combinatorial Search Abstract: Solvers for combinatorial search and optimisation problems often exhibit highly complementary performance: instances that are hard for one solver may be easy for another. The Algorithm Selection PGR Seminar – Erdem Kus & Junyu Zhang

PhD Viva Success: Zihan Zhang

Congratulations to Zihan Zhang (supervised by Dr Blesson Varghese) who has passed his PhD viva subject to minor corrections. Thanks to Dr Poonam Yadav (University of York) for serving as the external examiner.

PGR Seminar – Qurat ul ain Shaheen

You are warmly invited to the next PRG Seminar. Date & Time: Monday 13/10/2025 14:00-14:40 Location: JC 1.33A Speaker: Qurat ul ain Shaheen Title: A Framework for Uncertainty Sampling in Active Learning Abstract: Uncertainty sampling is an active learning paradigm where data instances representing maximum uncertainty for a machine learning model are selected for training. This PGR Seminar – Qurat ul ain Shaheen

Young Software Engineer of the Year 2025 Awards

Huge congratulations to Verity Powel, a winner at last night’s Young Software Engineer of the Year Awards (https://www.scotlandis.com/blog/rugby-video-tech-scores-top-award-for-st-andrews-student/). Her final year project “Video Analytics For Rugby Skills Training” was nominated by the school (https://blogs.cs.st-andrews.ac.uk/csblog/2025/07/28/nomination-to-young-software-engineering-of-the-year-awards-2025/) in June. The awards were announced at the ScotSoft 2025 (https://www.scotlandis.com/scotsoft-2025/), Scotland’s leading tech conference at the Edinburgh International Conference Centre. Young Software Engineer of the Year 2025 Awards

PGR Seminar – David Morrison

You are warmly invited to the next PRG Seminar. Date & Time: Monday 06/10/2025 14:00-14:40 Location: JC 1.33A Speaker: David Morrison Title: Synthetic Whole Slide Image Patch Embeddings for Multiple Instance Learning Abstract: Obtaining high-quality data is a persistent challenge for the training of computational pathology models. As medical data, Whole-slide images (WSIs) are often held PGR Seminar – David Morrison

Seminar series on computing intelligence

There will be a series of talks at the Global Research Centre for Diverse Intelligences which might be interesting to staff in the School. It will be a mix of discussions about how different fields (i.e., not just CS) think about intelligence and some talks about various sub-fields of AI presented by CS staff. Talks Seminar series on computing intelligence

PGR Seminar – Sharon Pisani & Mirza Hossain

The next PGR seminar is taking place this Friday 3rd October 11:00-12:00 in JC 1.33A. Below are the Titles and Abstracts for Sharon and Mirza’s talks – Please do come along if you are able. Sharon Pisani Title: Building Sustainable Heritage Virtual Museums for Communities using Sociodata Abstract: Virtual museums are moving beyond simple digitisation PGR Seminar – Sharon Pisani & Mirza Hossain

Curious Workshop Success

On Saturday 13th September, the Royal Society of Edinburgh hosted a workshop titled: “Your Data, Your Story” as part of their Curious festival of knowledge. The event was led by a group of experts in data visualisation and data ethics, including three of our own, Dr Areti Manataki, Dr Tristan Henderson and Tilcia Woodville-Price. The Curious Workshop Success

School Seminar – Peter Macgregor “Fast Dynamic Algorithms for Modern Clustering”

You are warmly invited to the second School Seminar: Speaker: Peter Macgregor Title: Fast Dynamic Algorithms for Modern Clustering Abstract: Spectral clustering and DBSCAN both have long histories as theoretically grounded, general-purpose clustering algorithms. However, they face practical challenges when scaling to large datasets which have limited their adoption in practice. In recent work, we School Seminar – Peter Macgregor “Fast Dynamic Algorithms for Modern Clustering”