Events in the Department of Computer Science
Find out more about events, seminars and public lectures in the Department.
Departmental Seminar – “Generative information retrieval: from search to recommendation” by Professor Zhaochun Ren, Leiden University, Netherlands
Generative retrieval is reshaping search and recommendation by embedding corpus knowledge directly within generative models. This emerging framework moves beyond traditional indexing, mapping queries and user contexts directly to document or item identifiers. In this talk, I will provide an in-depth overview of generative retrieval, highlighting...
The Past, Present & Future of the Computer in Electronic Music
Music and Manchester: Join us for a research cafe exploring the past, present and future of computers in electronic music. While Manchester is prominently featured in music history, the role that it played in the creation of electronic music is less known. This event will: take the audience back to the beginnings of electronic music, celebrating...
The Digital Environment Conference 2026
Step into the frontier of human–planet intelligence. This is where the systems that will shape our planetary future are imagined, contested, built and live. Co?hosted by the University Digital Futures platform and the NERC Digital Solutions Hub, the event will begin with keynote from NVIDIA to mark the 75th anniversary of Alan Turing’s On Computable...
AI-Fun & ELLIS Invited Speaker Series | Gabriella Pizzuto
April's invited speaker will be Gabriella Pizzuto from the University of Liverpool. Title and abstract to follow. Gabriella is a Royal Academy of Engineering Research Fellow and Lecturer (Assistant Professor) in Robotics and Chemistry Automation at the University of Liverpool. Gabriella is very excited to develop methods towards creating the...
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...
Interdisciplinarity &: 2026 Series - Co-Authorship: Rotating Roundtables
Co-authoring can offer significant benefits in interdisciplinary research bringing together experts from various fields to produce impactful publications. How can we effectively manage co-authoring processes to ensure equitable contributions and recognition? What best practices can we adopt to enhance collaboration and productivity? Join us to...
Digital Trust and Security Webinar: Daniel Shiu
The Internet is shifting to post?quantum security as current encryption weakens. This talk explores the risks &how we can protect our future This event invites participants from all disciplines and backgrounds to come together, fostering interdisciplinary connections and discussions. Talk Title: Can we make the Internet quantum-resistant? The...
Creativity and AI: Cultural Heritage
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 second event of the 2026...
Digital Trust and Security Seminar: Tao Wen
Explore a series of interconnected studies that examine human behavior and decision-making processes within social networks This event invites participants from all disciplines and backgrounds to come together, fostering interdisciplinary connections and discussions. Talk Title: Modeling and Analyzing User Behavior and Decision-Making in Social...
AI-Fun & ELLIS Invited Speaker Series | Nikolay Malkin
For May's AI-Fun and ELLIS invited speaker series, we will have Nikolay Malkin from the University of Edinburgh. Title: Inferring stochastic dynamics without data: from diffusion samplers to discrete Schrödinger bridges Abstract: Probabilistic models that approximate a distribution by transporting particles from a source distribution to the...