Events in the Department of Computer Science
Find out more about events, seminars and public lectures in the Department.
Digital Trust and Security seminar: Justin McKeown
Explore adversarial assurance of real-world PETs to address design limits, implementation flaws, and evolving data needs for businesses This event invites participants from all disciplines and backgrounds to come together, fostering interdisciplinary connections and discussions. Talk Title: Challenges with real world Privacy Enhancing Technologies...
Digital Futures Interdisciplinary ECR Lunch Workshop
Join us for an energising, hands-on workshop designed to spark new ideas, build connections, and elevate your digital research journey. [This is an internal UoM Staff and Student only event] Whether you're already working within the digital space or simply curious about how a digital strand could enrich your research, this event is your chance...
Digital Trust and Security Webinar: Dr Zhipeng Wang & Dr Joseph Lee Nazzini
Learn how blockchain “digital communities” can be exploited—and how to prevent it. Talk Title: DAO Governance Takeover Attack on the blockchain: Code as Law, Cybersecurity and Governance [Online Webinar] In this talk, Dr Zhipeng Wang and Dr Joseph Lee Nazzini analyse the DAO governance takeover attack as a major governance-level cybersecurity...
Training course on visualisation and 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...
AI-Fun & ELLIS Invited Speaker Series | Joey Bose
On 11 February, we will have Joey Bose from Imperial College London. If you cannot attend in person, please register via the Ticketsource link provided and you will receive the link to join the Teams session. Title: Flow Maps and Normalizing Flows for Accelerated Generative Modelling of Molecules Abstract: This talk will be broken into 2 distinct...
Interdisciplinarity &: 2026 Series - Leadership & Team Building: Challenge-Led Hackathon
In a vast university setting, bringing together interdisciplinary researchers to tackle complex challenges is essential. These teams combine expertise from various fields, focusing on problems that cannot be solved through a single research lens. But how do you find colleagues with similar interests? How do you identify those willing to collaborate? Join...
ONLINE: Imagining a Gender-Equal World: International Symposium
Join us for a free, international online symposium celebrating the?International Day of Women and Girls in Science?and advancing?Sustainable Development Goal 5: Gender Equality.? Bringing together students, staff, and partners from five countries, the symposium will explore how international collaboration can support gender equality and improve...
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...
Creativity and AI: Entertainment
This event forms part of a three-part CreaTech Network Series running between February and June 2026, designed to strengthen connections across the CreaTech ecosystem in Greater Manchester and the Northwest, and to support collaboration between the University and the wider creative and cultural industries community. The first event of the 2026...
AI-Fun & ELLIS Invited Speaker Series | Nikolay Malkin
For March's AI-Fun and ELLIS invited speaker series, we will have Nikolay Malkin from the University of Edinburgh. Title and abstract to follow. Nikolay Malkin is a Chancellor's Fellow in Informatics at the University of Edinburgh and a fellow of CIFAR's Learning in Machines and Brains programme. Their research focuses on algorithms for probabilistic...