20MIN
Paper presentations
Full-length talks in the midday and afternoon panels, each followed by Q&A. Suited to mature work with results.
Artificial Intelligence across Domains
Research, Innovation and Impact
A one-day conference showcasing the research of Coventry University postgraduate researchers whose work engages with artificial intelligence.
- Date
- Wed 7 October 2026
- Time
- 09:00 – 16:30
- Venue
- EC1 29, Sir Frank Whittle
- Countdown
- 7 October 2026
Ways to take part
Twelve slots · one poster exhibition
5MIN
Lightning talks
Short, focused talks in two blocks, well suited to work in its early stages or a single key idea.
AllDAY
Poster presentations
On display from lunch through the closing session, with authors alongside. Awards presented at 15:45.
Abstracts are 250 words with a 100-word biography, submitted on EasyChair. Read the full call for participation →
Keynote · 10:00 – 10:40
Prof. James Brusey
Professor of Computer Science at Coventry University and lead of the Human-Centred Reinforcement Learning theme at the Research Centre for Computational Science and Mathematical Modelling.
Appointed Innovate UK BridgeAI Independent Scientific Advisor at The Alan Turing Institute in 2025.
20+
PhD graduates
25
Grants secured
£35M
Research funding
Four topic areas
Choose one on EasyChair
- 01
AI Research, Innovation, Methods, Models and Applications
New algorithms, architectures, learning methods, evaluation and applied systems.
- 02
AI across Disciplines and Professional Contexts
AI in engineering, health, business, the arts, education, law and other professional domains.
- 03
Responsible AI: Ethics, Governance, Transparency, Bias and Trust
Fairness, accountability, explainability, regulation and public trust.
- 04
Generative AI: Knowledge, Human Experience and Societal Impact
Large language and multimodal models, creativity, knowledge work and society.
Who should attend
Open to CDT in AI postgraduate researchers
Open to Coventry University CDT in AI postgraduate researchers across all disciplines, along with supervisors and staff of the CDT. All CDT in AI students are expected to attend and to contribute a talk, poster or paper.
Register to attendHelp review
Reviewing runs 19 – 24 September
Students, supervisors and staff each take a small number of abstracts matched to their expertise. Reviews are completed on EasyChair.
Review criteria