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Lightning Talks: 11.20 - 12.30

Take a look at the themes and speaker topics to decide which lightning talk session you would like to attend.

MPLS Researcher Conference: AI & Ethics photo - Justin Hutchence © plasticgoldfish

Winner - Mr Benjamin Walker, Maths Institute - Structured linear controlled differential equations

  1. Confidence sequences with informative, bounded-influence priors (Valentin Kilian, Department of Statistics)
  2. Structured linear controlled differential equations (Benjamin Walker, Mathematical Institute) - Download a copy of Benjamin's presentation here.
  3. Enhancing macroeconomic Agent-Based Models (ABMs) with Inverse Reinforcement Learning (Elena Lickel, Department of Computer Science) - Download a copy of Elena's presentation here.  
  4. Quantum cryptography (Matthew Gray, Department of Computer Science) - Download a copy of Matthew's presentation here.

Winner - Dr Jakob Zeitler, Statistics Dept - Causality, AI and ethics: What works and what doesn't

  1. Causality, AI and ethics: what works and what doesn't (Jakob Zeitler, Department of Statistics) - Download a PDF of Jakob's presentation by clicking here.
  2. Physical AI and systems assurance (Frank Jonas, Department of Engineering)
  3. Making AI Governance Practical with Non-invasive ML Workload Classification (Ziji Chen, Department of Engineering)
  4. What is material to the AI bill of materials? (Patricia Esteve-Gonzalez, Department of Computer Science) - Download a PDF of Patricia's presentation by clicking here.

Winner - Leslye Dias Duran, Computer Science Dept - How can AI support children's agency?

  1. Stylometry as a minimally-intrusive signal of transient user state (Zandi Eberstadt, Department of Computer Science)
  2. Beyond GPT: teaching AI to think and feel (Hayden Ramm, Department of Engineering)
  3. How can AI support children's agency? (Leslye Dias Duran, Department of Computer Science) - Click here to download a PDF copy of Leslye's presentation.
  4. Young voices in AI research: piloting an MPLS-wide youth advisory group (Isobel Voysey, Department of Computer Science) - Click here to download a PDF copy of Isobel's presentation.
  5. Astronomy, Noesis & The AI Co-Scientist (Josh Weston, Visitor – Queen’s University, Belfast)

Running from 11.20-12.30 in L2

  1. Safe & Intelligent Brain-Robot Interfaces: Bridging One-Shot Learning with Runtime Verification (Tasha Kim, Department of Engineering) - Click here to download a copy of Tasha's presentation.
  2. Data representation and algorithmic choices in sports cardiology: a bias-aware neural architecture search-driven arrhythmia classification (Erik Vanegas Muller, Department of Engineering) - Click here to download a copy of Erik's presentation.
  3. Interdisciplinary Life and Environmental Science - Estimating the potential health impacts of community-wide vaccination against Klebsiella pneumoniae bloodstream infections in older adults in England: A mathematical modelling study (Lay Dewi, Interdisciplinary Life and Environmental Science )
  4. From sensors to systems: building low-latency, privacy-preserving remote health monitoring with in-network machine learning (Huiqi Yvonne Lu, Department of Engineering)
  5. The role of multi-annotator datasets in medical segmentation uncertainty (Sophie Fischer, Department of Computer Science) - Click here to download a copy of Sophie's presentation.

Winner - Jessica Frater, Biology Dept - Beyond message framing: Participant characteristics predict social acceptability of increased deer culling in Scotland

  1. Searching for the fingerprints of virus-enhanced evolution in vertebrate genomes (Laura Munoz Baena, Department of Biology)
  2. Beyond message framing: participant characteristics predict social acceptability of increased deer culling in Scotland (Jessica Frater, Department of Biology) - Click here to download a PDF copy of Jessica's slides.
  3. Sound source localisation for bioacoustics and dual-use research (Stephen Ellis, Department of Computer Science)

Winner - Dr Xuesong Lu, Engineering Science Dept - Simulation and assessment of ammonia reduction of iron ores in the shaft furnace

  1. Information bias in self-assembly and deep learning (Prarthana Agrawal, Department of Physics)
  2. Physical intelligence beyond algorithms: how origami structures give robots smarter bodies (Chenying Liu, Department of Engineering)
  3. Simulation and assessment of ammonia reduction of iron ores in the shaft furnace (Xuesong Lu, Department of Engineering)