CMI Town Hall (Shef.AI Community Event 8)
Description
Please join us at our eighth Community Event, Wednesday 16th October 2024 at The Wave, with networking lunch. Open to all with an interest in AI.
The meeting is in-person only and will include: an update from Prof. James Marshall, Director for the Centre for Machine Intelligence, introductions from our new team members, a report on the results of our community consultation and community short pitches on AI related research!
Time & location: 12:30-16:00, Workroom 2, The Wave, 2 Whitham Rd, Sheffield S10 2AH
Registration is now closed.
Programme:
12:30-13:15 - Registration, lunch and networking
13:15-13:30 - Introduction and update from CMI Director, Prof James Marshall
13:30-14:00 - Presenting the new CMI staff - Chair: Prof James Marshall
- Dr James Law, Deputy Director (5 mins)
- Dr Morgan Jones, Cross-Cutting Theme Lead for Supporting Digital Education (5 mins)
- Dr Mahnaz Arvaneh, Cross-Cutting Theme Lead for AI-Powered Spinouts and Entrepreneurship (5 mins)
- Dr Sean Anderson, Cross-Cutting Theme Lead for Upskilling in AI and Data Science (5 mins)
- Dr Susan Oman, AI and In/equality Theme Lead (10 mins)
14:00-15:00 - Results of the community consultation, Dr Emma Barker - Chair: Dr Sean Anderson
- Results of the consultation (15 mins)
- Breakout session - coffee available from 14:15 (30 mins)
- Group leaders to report on discussions (15 mins)
15:00-15:30 - Showcase presentation - Chair: Dr James Law
Speaker: Dr Lauren White, School of Education
Title: Makerspaces and Co-production Methodologies: Reflections from the Reimagining Trustworthy Autonomous Systems with Disabled Young People Project
15:30-16:00 - Community 1-minute flash talks - Chair: Prof James Marshall
- Nazia Nafis (Computer Science) - AI in Healthcare and Bias Mitigation
- Neil Lawrence (Medical School) - Revolutionising screening for congenital heart disease using automated heart murmur recognition
- Madhu Pahar (Computer Science) - CognoSpeak: an automatic, remote assessment of early cognitive decline in real-world conversational speech
- Ghada Sasi (Chemistry) - OCT analyser software
- Shivani Harshe (Physics and Astronomy) - Biomolecular Simulations at Lightning Speed!!
- Patricio Ortiz (Automatic Control and Systems Engineering) - Feeding AI sensor data
- Jon Stammers (Advanced Manufacturing Research Centre) - Data Samey-ness (Let's start deleting data...)
- Guy Solomon (Digital Humanities Institute) - Linking individuals at scale in nineteenth-century census data
- Dave Holloway (Education Development Services) - Adapting Errors: How I used AI to make the Student Digital Induction Logo
- Chaona Chen (Computer Science) - Equipping Social Robots with Emotional Intelligence
- Vincent Obia (Journalism) - A continent on the margins: Investigating African approaches to regulating artificial intelligence
- Brendan Doody (School of Geography and Planning) - Government facilitation of urban robotic innovation
- Andrew Cox (Information School) - AI skills
- Ross Drummond (Automatic Control and Systems Engineering) - Image generation for battery fires
- Oliver Hayes (Advanced Manufacturing Research Centre) - AI for composite machining
- Will Jacobs (Electronic and Electrical Engineering) - AI for Aerospace applications
- Aidan Hughes (Mechanical Engineering) - Decision-theoretic machine learning for engineering systems
- Rob Barthorpe (Mechanical Engineering) - AI Applications: Distributed Thermal Energy Storage
- Max Champneys (Mechanical Engineering) - AI-driven uncertainty quantification from the km to the nm scale
- Daniele Tartarini (Computer Science) - FAIR4RS Training Program
- Joe Heffer (Library) - Introducing the Data Analytics Service
- Philip Webster (Library) - Working with the Library
- Gavin Boyce (Library) - How can the Library support your use of data for AI?
- Laurie Wilson (Education Development Services) - Elevate's training and support on generative AI in education: What we do and what we need
16:00 - Closing remarks
We look forward to seeing you at the CMI Town Hall!
Location
53.380938160096, -1.4955502404651
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