Events in the Department of Computer Science
Find out more about events, seminars and public lectures in the Department.
AI-Fun with ELLIS Seminar | Siu Lun Chau: Credal Two-sample Tests: How to Test Hypothesis under Dataset Uncertainty
March’s AI-Fun with ELLIS Seminar is with Siu Lun (Alan) Chau from CISPA Helmholtz Center for Information Security. In-person attendance is recommended but for anyone who cannot be physically present, there is a zoom link included below. Title: Credal Two-sample Tests: How to Test Hypothesis under Dataset Uncertainty Abstract: Dataset-level...
Applied Perception in Visual Computing by Prof. Kurt Debattista, University of Warwick
Abstract Computer graphics, image processing and visual computing in general are deeply intertwined with human vision. This talk will present how applied perception principles can be used enhance visual fidelity and efficiency. This will be demonstrated by examples from projects in computer graphics, high dynamic range imaging with applications...
Training Course on Advanced Scripting and Batching of Tomographic Datasets
Although X-ray tomography is an attractive characterisation technique in materials science, it generates a huge amount of data at a fast rate and it can be extremely time consuming to process the data manually. A great benefit to creating scripts and plugins in Avizo is the ability to reuse a workflow on more than one image or to develop a bespoke...
Introduction to MEC Researcher to Innovator (R2I) programme
An exciting opportunity for researchers to develop their innovative thinking and awareness of creating and developing impact. R2I is a bespoke entrepreneurship training programme for final-year PhD students, PDRAs and early-career researchers from across all faculties with ambitions to develop commercial ventures or to create impact from their...
Training Course on In situ experiments and Digital Volume Correlation
Digital Volume Correlation (DVC) is a powerful experimental technique that computes 3D full-field displacement and strain maps from volumes images acquired during a deformation process of a material. DVC is the 3D extension of Digital Image Correlation (DIC) which was first described four decades ago. The emergence of DVC started early 2000s with...
Training Course on Visualisation & quantification of tomographic datasets
A 2 day in person training course covering theory and computer-based practical works using the Thermo Scientific™ Amira-Avizo Software. Lab/synchrotron X-ray tomography has emerged as one of the most important techniques for research in a wide range of applications including healthcare, energy, food and geology. Advances in the quality of X-ray...
Digital Trust and Security Seminar Series: Dr Colin Williams
Digital Trust and Security Seminar Series: Dr Colin Williams Date: 28th May 2025 Time: 14:00-16:00 Location: The University of Manchester Join us for an engaging seminar on The Human Use of Non-Human Beings: Computational Synthetic Agency and Human Exceptionalism (A Partial History and Some Possible Futures). In 1948, the venerable American...
ELLIS Manchester Summer School on Machine Learning for Healthcare and Biology
We are pleased to announce our third annual ELLIS Summer School on Machine Learning for Healthcare and Biology. As with our two events in 2023 and 2024, this three-day event will bring participants up-to-speed on the latest methods and technologies in machine learning with a focus on healthcare and biology. For 2025, alongside the usual talks...
Digital Technology, Crime, and the Law Conference 2025
Digital technology is becoming ubiquitous in our daily lives, shaping how we communicate, work, and interact. To build trust in technology, its design, development, and deployment must ensure security and safety. A sustainable digital future relies on frameworks that protect both systems and users. Date and Time: 11 June 2025 | 8.30AM - 5PM Location:...
ELLIS Workshop on Misinformation Detection
The rise of the internet and social media has significantly accelerated the spread of misinformation, posing serious societal challenges. While large language models (LLMs) offer new opportunities for misinformation detection, they also enable the creation of increasingly convincing false information, blurring the line between truth and deception. This...