Lightning Talks: 11.20 - 12.30
Take a look at the themes and speaker topics to decide which lightning talk you would like to attend.
Session 1: Theme - Data Science & Quantum Technologies I; Methods & Modelling
Session 2: Theme - Data Science & Quantum Technologies II; Governance, Safety & Assurance
Session 3: Theme - AI, Creativity & Human-Centred Computing
Session 4: Theme - Health & Biomedical AI
Running from 11.20-12.30
- Confidence sequences with informative, bounded-influence priors (Valentin Kilian)
- Structured linear controlled differential equations (Benjamin Walker)
- Learning growth laws from sparse data with Biologically-Informed Neural Networks (Rebecca Crossley)
- Enhancing agent-based models with computational techniques for macroeconomic crisis analysis (Elena Lickel)
- Towards provable provenance and privacy-preserving queries in decentralised data architectures (Jesse Wright)
- Quantum cryptography (Matthew Gray)
Running from 11.20-12.30
- Causality, AI and ethics: what works and what doesn't (Jakob Zeitler)
- Auditing the effectiveness of YouTube user feedback tools at aligning child gamer recommendations (Desiree Cho Shyn-Ru)
- Physical AI and systems assurance (Frank Jonas Jr)
- Enabling AI governance: non-invasive classification of virtualized machine learning workloads (Ziji Chen)
- Some[Body] must receive that pain: a position on agentic accountability (Botao Hu)
- What is material to the AI bill of materials? (Patricia Esteve-Gonzalez)
Running from 11.20-12.30
- Ethically inferring human states from stylometry and text: introducing SLaDSA (Zandi Eberstadt)
- Beyond GPT: teaching AI to think and feel (Heyden Ramm)
- How can AI support children's agency? (Vidminas Vizgirda)
- Young voices in AI research: piloting an MPLS-wide youth advisory group (Isobel Voysey)
- Explorative AI simulating human reasoning: challenges and the nuisance of objectives (Peter Grindrod)
- Knowledge production in the age of AI (Josh Weston)
Running from 11.20-12.30
- EEG-based brain–computer interface for robotic assistance with user intention prediction (Jae Kim)
- Data representation and algorithmic choices in sports cardiology: a bias-aware neural architecture search-driven arrhythmia classification (Erik Vanegas Muller)
- Estimating the potential health impacts of community-wide vaccination against Klebsiella pneumoniae infections in older adults in England: a mathematical modelling study (Lay Dewi)
- From sensors to systems: building low-latency, privacy-preserving remote health monitoring with in-network machine learning (Yvonne Lu)
- The role of multi-annotator datasets in medical segmentation uncertainty (Sophie Fischer)
Running from 11.20-12.30
- Searching for the fingerprints of virus-enhanced evolution in vertebrate genomes (Laura Munoz Baena)
- Beyond message framing: participant characteristics predict social acceptability of increased deer culling in Scotland (Jessica Frater)
- Inferring species interactions and movement from dense sensor networks (Daniel Ash)
- LitStructLLM: human-in-the-loop LLMs for scalable literature synthesis in ecology and conservation (Sruthi Krishna Moorthy Parvathi)
- Land-use change and ecosystem impacts of shrimp aquaculture in Vietnam: a longitudinal perspective (2011–2025) (Alena Gobel)
- Bayesian sound source localisation (Stephen Ellis)
Running from 11.20-12.30
- Can we trust an ML model with high predictive skill if it is physically inconsistent? On inductive biases and generalization in ML-based weather prediction models (Maren Hover)
- Forecasting temperature-associated mortality and excess deaths with neural networks (Jowan Fromentin)
- Higher-order statistics of the gravitational wave background from Pop III.1 supermassive black hole mergers (Lana Alabbasi)
- Simplicity wins: the hidden information bias in self-assembling materials (Prarthana Agrawal)
- Physical intelligence beyond algorithms: how origami structures give robots smarter bodies (Chenying Liu)
- Modelling and assessment of ammonia reduction of iron ores in the shaft furnace (Xuesong Lu)
