Poster Sessions
| Tuesday, 24 November 2026, 13:00 - 14:30 - Poster Session 1 | |||||
| Poster # | Poster Title | Track | Theme | Poster Presenter | Affiliation |
| 1 | AI for Interpretable Model Discovery in the Natural Sciences | Emerging Research | A. Natural & Physical Sciences | Dabin Kwon | |
| 2 | Forest Gain Foundations: Earth observation embeddings for large-scale forest gain typology mapping | Emerging Research | A. Natural & Physical Sciences | James Brock | University of Bristol |
| 3 | Identifying and Classifying Peculiar Galaxies in the COSMOS-Web Field | Emerging Research | A. Natural & Physical Sciences | Kai Madgwick | University of Manchester |
| 4 | Machine-leaning assisted RHEED analysis: case studies applied to layer-by-layer thin-film growth | Emerging Research | A. Natural & Physical Sciences | Yoshiko Nanao | University of St Andrews |
| 5 | Persistent Homology for the Quantification of Microstructures in HRTEM Images | Emerging Research | A. Natural & Physical Sciences | Thiara de Alwis | The University of Edinburgh |
| 6 | pyHyperRI: a PyTorch library for AI-accelerated radio astronomical imaging | Emerging Research | A. Natural & Physical Sciences | Chao Tang | The University of Edinburgh |
| 7 | Self-supervised Learning of Imperfect Crystal Embeddings | Emerging Research | A. Natural & Physical Sciences | Sohan Seth | The University of Edinburgh |
| 8 | A Hybrid Heuristic-LLM System for Autonomous FPGA Timing Closure | Emerging Research | A. Natural & Physical Sciences C. Algorithms, Agents & Theory |
Matthew Youngman | The University of Edinburgh |
| 9 | A Principled Probabilistic Machine Learning Framework for Optical Communication Channels | Emerging Research | A. Natural & Physical Sciences C. Algorithms, Agents & Theory |
SINA SEYFADINI KUHBANANI | Aston University |
| 10 | Adaptive Sampling for Hydrodynamic Stability | Emerging Research | A. Natural & Physical Sciences C. Algorithms, Agents & Theory |
Anshima Singh | University of Manchester |
| 11 | PARIS: Pruning Algorithm via the Representer theorem for Imbalanced Scenarios | Emerging Research | A. Natural & Physical Sciences C. Algorithms, Agents & Theory |
Enrico Camporeale | Queen Mary University of London |
| 12 | A Multi-Agent Framework for Extraction of Materials, Methodology and Performance data from Triboelectric Nanogenerator Literature | Emerging Research | A. Natural & Physical Sciences D. Engineering & Manufacturing |
Shashank Mishra | The University of Edinburgh |
| 13 | AI-Discovered Physical Identities for Secure Authentication Using Optical Material Signatures | Emerging Research | A. Natural & Physical Sciences D. Engineering & Manufacturing |
Syeda Ramsha Ali | University of Southampton |
| 14 | AI-Enabled Optimization of SRAM Cell Design Using the Async-SADEA Framework | Emerging Research | A. Natural & Physical Sciences D. Engineering & Manufacturing |
Ankit Dixit | University of Glasgow |
| 15 | Analysing Electronic Properties of Point Defects using ML | Emerging Research | A. Natural & Physical Sciences D. Engineering & Manufacturing |
Zarak Bhat | The University of Edinburgh |
| 16 | Machine Learning-based analysis of data sets from Graphene Transistor Biosensors | Emerging Research | A. Natural & Physical Sciences D. Engineering & Manufacturing |
Muhammad Hamza Rafique Bhatti | University of Plymouth |
| 17 | A Bayesian State Classification Framework for Detecting Tree Mortality in the South Amazon | Emerging Research | A. Natural & Physical Sciences E. Sustainability & AI |
Laura Baracaldo | Lancaster University |
| 18 | A Spatio-Temporal Graph Similarity Approach to Characterising Strategic Variation Among Air Traffic Control Trainees | Emerging Research | A. Natural & Physical Sciences E. Sustainability & AI |
Mudathir Ayomide Ekundayo | University of Exeter |
| 19 | Deep Learning-Based Individual Re-identification of Reef Fish: A Component Variation Study | Emerging Research | A. Natural & Physical Sciences E. Sustainability & AI |
Tedi Yankov | University of Oxford |
| 20 | Domain-Aware Deep Learning for Forest Carbon Mapping: Interpretability, Causal Constraints, and Learning Under Biased Supervision | Emerging Research | A. Natural & Physical Sciences E. Sustainability & AI |
Reza M. Asiyabi | The University of Edinburgh |
| 21 | "It's All About Profiting": A Two-Phase Study Exploring AI Features and Menstrual Representation in Menstrual Tracking Applications | Emerging Research | B. Life & Health | Faye Doughty | Northumbria University |
| 22 | An Explainable Transformer for Pan-Cancer Classification and Biomarker Discovery | Emerging Research | B. Life & Health | Keniel Peart | University of Southampton |
| 23 | An Informed Design to Explore Psychological safety of Artificial Intelligence for Older Adults: A Systematic Review, Expert Consultations and Public Engagement. | Emerging Research | B. Life & Health | Prenika Anand | University of York |
| 24 | Collaborative Learning and Inference for Multiclass Tasks | Emerging Research | B. Life & Health | Hollan Haule | The University of Edinburgh |
| 25 | Exploring Video-to-Radar Simulation Framework for Functional Monitoring in Dementia Care | Emerging Research | B. Life & Health | Shelly Vishwakarma | University of Southampton |
| 26 | EZCap: A Single-Camera Markerless Motion Capture System for Digital Health & Monitoring | Emerging Research | B. Life & Health | David Hollinger | University of Essex |
| 27 | From Radar to Report: Auditing Claim-Level Faithfulness in LLM Tremor Reports | Emerging Research | B. Life & Health | Haoxuan Li | Heriot-Watt University |
| 28 | IRIDiS: Interpretable AI for Rapid Infectious Disease Screening and Test Design | Emerging Research | B. Life & Health | Anatoliy Gorbenko | Leeds Beckett University |
| 29 | Learning Temporal Embeddings for Multi-level Clustering of Physiological States in PICU | Emerging Research | B. Life & Health | Brian O'Donovan | The University of Edinburgh |
| 30 | Machine Learning Decoding of SYNGAP1 Genotype and Fear-State Neural Dynamics | Emerging Research | B. Life & Health | Lachin Soufizadeh Balaneji | The University of Edinburgh |
| 31 | Machine Learning EEG Biomarkers in SYNGAP1 Rodent Models | Emerging Research | B. Life & Health | Nikoo Moradi | The University of Edinburgh |
| 32 | Multimodal Longitudinal Lung Function Pattern Analysis to Predict Asthma and COPD | Emerging Research | B. Life & Health | Ammarah Farooq | King's College London |
| 33 | Predicting future Dementia diagnosis from routine clinical brain MRI: A Scotland-wide pilot | Emerging Research | B. Life & Health | Michael P. J. Camilleri | The University of Edinburgh |
| 34 | BioCOMPASS: Integrating Biomarkers into Transformer-Based Immunotherapy Response Prediction | World Class Research Track | B. Life & Health | Sayed Hashim | University of York |
| 35 | Exploring Human Behaviours of Stress through Virtual Reality Interactions using Accessible, Embedded Sensors and User-Personalised Machine Learning | World Class Research Track | B. Life & Health | Saskia Davies | Swansea University |
| 36 | Integrated Data-Driven Micro-Mobility Systems: Combining Interactive Dashboard Analytics with Multi-Criteria Geospatial Routing for Smart Urban Navigation | World Class Research Track | B. Life & Health | Devanjan Bhattacharya | The University of Edinburgh |
| 37 | Supporting “Stop and Watch” in Elderly Care with Socially Assistive Robots: Insights from a Participatory Design Workshop | World Class Research Track | B. Life & Health | Athina Georgara | University of Southampton |
| 38 | A Dual-Edge Spatial–Jacobian Image Graph for Interpretable Diabetic Retinopathy Grading | Emerging Research | B. Life & Health C. Algorithms, Agents & Theory |
Inam Ullah | University of Southampton |
| 39 | ConceptSMILE: A Perturbation-Based Auditing Framework for Reliable Concept-Level Explanations in Retinal AI | Emerging Research | B. Life & Health C. Algorithms, Agents & Theory |
Mohadeseh Mollapour | University of Hull |
| 40 | Decision Curve Analysis Needs Prediction Under Intervention | Emerging Research | B. Life & Health C. Algorithms, Agents & Theory |
Pedro Henrique da Costa Avelar | University of Manchester |
| 41 | Graph Bridge Diffusion for Scaffold Decoration | Emerging Research | B. Life & Health C. Algorithms, Agents & Theory |
Magdalena Proszewska | The University of Edinburgh |
| 42 | Pretraining EHR Foundation Models with Patient-Aware Sampling | Emerging Research | B. Life & Health C. Algorithms, Agents & Theory |
Joshua Placidi | Imperial College London |
| 43 | Prior-Supervised Instrument-Aware Rollouts for Surgical Robot World Models | Emerging Research | B. Life & Health C. Algorithms, Agents & Theory |
Yuhui Wan | The University of Edinburgh |
| 44 | Uncovering Clinical Structure in Autoregressive Health Foundation Models | Emerging Research | B. Life & Health C. Algorithms, Agents & Theory |
Inigo Stibbe | Imperial College London |
| 45 | Beyond Thresholds: Learning Perioperative Risk from Intraoperative Physiological Trajectories | World Class Research Track | B. Life & Health C. Algorithms, Agents & Theory |
Sadaf Sohrabi | Imperial College London |
| 46 | Diagnosing Lower Extremity Arteriovenous Diseases Using Agentic LLMs | World Class Research Track | B. Life & Health C. Algorithms, Agents & Theory |
Zicen Liao | Queen Mary University of London |
| 47 | Multistream Modelling for Mental Health: Modelling Linguistic and Temporal Contexts with Mutual and Self-Excitation in Social Media | World Class Research Track | B. Life & Health C. Algorithms, Agents & Theory |
Talia Tseriotou | Queen Mary University of London |
| 48 | Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups using a Single Model across Cages | World Class Research Track | B. Life & Health C. Algorithms, Agents & Theory |
Michael P. J. Camilleri | The University of Edinburgh |
| 49 | Overview of the CLPsych 2026 Shared Task: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics | World Class Research Track | B. Life & Health C. Algorithms, Agents & Theory |
Iqra Ali | Queen Mary University of London |
| 50 | Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification | World Class Research Track | B. Life & Health C. Algorithms, Agents & Theory |
Andreas Grivas | The University of Edinburgh |
| 51 | Profit-Driven Artificial Intelligence, Digital Health, and the Risk of Losing Public Trust | Emerging Research | B. Life & Health E. Sustainability & AI |
MARJORY DA COSTA ABREU | Sheffield Hallam University |
| 52 | 3D Pose Estimation and Classification for Sign Language Recognition | Emerging Research | B. Life & Health F. Synergistic Human-AI Collaboration |
Arezo Sanayee | |
| 53 | Cripping the University Experience: AI-Assisted Making and Routes of Change with Students Living with Energy-Limiting Conditions | Emerging Research | B. Life & Health F. Synergistic Human-AI Collaboration |
Christopher Jackson | Northumbria University |
| 54 | From Lab to Wrist: A Responsible AI Framework for Wearable Ground Reaction Force Estimation | Emerging Research | B. Life & Health F. Synergistic Human-AI Collaboration |
Parvin Ghaffarzadeh | University of Hull |
| 55 | Machine Translation for Patients with Limited English Proficiency: A Feasibility Study with Simulated Consultations | Emerging Research | B. Life & Health F. Synergistic Human-AI Collaboration |
Adriana Wilde | University of Southampton |
| 56 | Multi-source LLM-assisted clinical codelist construction with auditable human review: a responsible-AI case study | Emerging Research | B. Life & Health F. Synergistic Human-AI Collaboration |
Carlos J Ramirez suarez | |
| 57 | From Principles to Practice: Embedding Ethics in an AI-Enabled Drone System to Support Battlefield Casualty Triage | World Class Research Track | B. Life & Health F. Synergistic Human-AI Collaboration |
Peter Lee | University of Portsmouth |
| 58 | Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy | World Class Research Track | B. Life & Health F. Synergistic Human-AI Collaboration |
Nathan Blake | King's College London |
| 59 | A Generalizable Inverse-Design Framework for Multi-Port Microwave Circuits | Emerging Research | D. Engineering & Manufacturing | Haijun Fan | Heriot-Watt University |
| 60 | A Multi-Agent Tool for Verification Plan Generation and Coverage Analysis of Open Hardware Specifications | Emerging Research | D. Engineering & Manufacturing | Reanna McEldowney | The University of Edinburgh |
| 61 | A physics-informed neural network for the elastic buckling load of perforated plates | Emerging Research | D. Engineering & Manufacturing | Elenor Naraidoo | University of Oxford |
| 62 | An LLM-based Transistor Level Layout Generation | Emerging Research | D. Engineering & Manufacturing | YUAN MENG | The University of Edinburgh |
| 63 | Gen-TAS: Generative AI for Task Allocation in FPGA-GPP Heterogeneous Systems | Emerging Research | D. Engineering & Manufacturing | Mary Kong | The University of Edinburgh |
| 64 | Kernel-based Optical Computing in High-dimensional Spaces | Emerging Research | D. Engineering & Manufacturing | Man Fung Ho | Aston University |
| 65 | LaMDA: A Language Model-Assisted Electronic Design Automation Framework | Emerging Research | D. Engineering & Manufacturing | Cristian Sestito | The University of Edinburgh |
| 66 | Teaching Early‑Stage Digital Design Reasoning Through an AI Design Workshop | Emerging Research | D. Engineering & Manufacturing | Ross Brisco | University of Strathclyde |
| 67 | Towards a Data-Centric AI Framework for Design of p-GaN E-mode HEMTs | Emerging Research | D. Engineering & Manufacturing | Zarak Bhat | The University of Edinburgh |
| 68 | EEspice: A Modular Circuit Simulation Platform with Parallel Device Model Evaluation via Graph Coloring | World Class Research Track | D. Engineering & Manufacturing | Xuanhao Bao | The University of Edinburgh |
| 69 | AI-Assisted Verification-Relevant Information Extraction and Quality Evaluation for Semiconductor Protocol Specifications | Emerging Research | D. Engineering & Manufacturing E. Sustainability & AI |
Elsa Wakfi | University of Bristol |
| 70 | Digital manufacturing platform for syngas production from waste wood | Emerging Research | D. Engineering & Manufacturing E. Sustainability & AI |
Waqar Muhammad Ashraf | University College London |
| 71 | Live Demo: Non-Frontal Face Recognition Using GANs and Memristor-Based Classifiers | Emerging Research | D. Engineering & Manufacturing E. Sustainability & AI |
Semih Vazgecen | The University of Edinburgh |
| 72 | Project Bluebird Demo | Emerging Research | D. Engineering & Manufacturing F. Synergistic Human-AI Collaboration |
Richard Everson | University of Exeter |
| 73 | STARS TFT: An Integrated Desktop Tool for Thin-Film-Transistor Characterization, Yield Analysis, and Recipe Management | Emerging Research | D. Engineering & Manufacturing F. Synergistic Human-AI Collaboration |
Saim Egemen Yucel | The University of Edinburgh |
| 74 | A Probabilistic Digital Twin of UK En Route Airspace for Training and Evaluating AI Agents for Air Traffic Control | World Class Research Track | D. Engineering & Manufacturing F. Synergistic Human-AI Collaboration |
Nick Pepper | The Alan Turing Institute |
| 75 | Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity | World Class Research Track | D. Engineering & Manufacturing F. Synergistic Human-AI Collaboration |
Edward Henderson | The Alan Turing Institute |
| 76 | LABIIUM: AI-Enhanced Zero-configuration Measurement Automation System | World Class Research Track | D. Engineering & Manufacturing F. Synergistic Human-AI Collaboration |
Emmanuel Olowe | The University of Edinburgh |
| Wednesday, 25 November 2026, 10:15 - 11:15 - Poster Session 2 | |||||
| Poster # | Poster Title | Track | Theme | Poster Presenter | Affiliation |
| 77 | A Privacy-Constrained Approach to Medical Data Acquisition | Emerging Research | C. Algorithms, Agents & Theory | Kurt Butler | The University of Edinburgh |
| 78 | A Survey of Expectation-Maximization Methods for Policy Optimization in Deep Reinforcement Learning | Emerging Research | C. Algorithms, Agents & Theory | Adrian Mircea Nenu | University of Manchester |
| 79 | A Universal Nearest-Neighbor Estimator for Intrinsic Dimensionality | Emerging Research | C. Algorithms, Agents & Theory | Eng-Jon Ong | Queen Mary University of London |
| 80 | Accent Awareness in Open Speech LLMs: A Benchmark on British Isles English on Speech Understanding | Emerging Research | C. Algorithms, Agents & Theory | Aylin Naebzadeh | University of Hull |
| 81 | An activity schedules calibration framework for mobility simulation models | Emerging Research | C. Algorithms, Agents & Theory | Yahya Gamal | University of Glasgow |
| 82 | Bayesian Heston model estimation with LLM-guided evolutionary search | Emerging Research | C. Algorithms, Agents & Theory | Sean Yalcin | Queen's University Belfast |
| 83 | BEACON-M: Continuous Many-Objective Benchmark Problems with Explicit, Adjustable Correlation | Emerging Research | C. Algorithms, Agents & Theory | Sam Tebbet | University of Exeter |
| 84 | Beyond Token-Level Diversity: Context-Mediated Exploration for RL Post-Training of Language Models | Emerging Research | C. Algorithms, Agents & Theory | Jim Dilkes | University of Southampton |
| 85 | Big Data's Blind Spots: Intersectionality and public opinion data on AI | Emerging Research | C. Algorithms, Agents & Theory | Roshni Modhvadia | Ada Lovelace Institute |
| 86 | Continual Generalized Category Discovery via Enhancing Representation Learning | Emerging Research | C. Algorithms, Agents & Theory | Jianqiao Weng | Cardiff University |
| 87 | Fast Certified Safety Checks for AI-Assisted Air Traffic Control | Emerging Research | C. Algorithms, Agents & Theory | George De Ath | University of Exeter |
| 88 | Large Language Models: Are They Ready for Data Science? | Emerging Research | C. Algorithms, Agents & Theory | Ozan Evkaya | The University of Edinburgh |
| 89 | Permutation Equivariant Neural Networks for Antisymmetric Tensors | Emerging Research | C. Algorithms, Agents & Theory | Edward Pearce-Crump | Imperial College London |
| 90 | ProToMEx: Rapid, Interpretable Explanations via Structured Representations | Emerging Research | C. Algorithms, Agents & Theory | Athina Georgara | University of Southampton |
| 91 | Strategic Verification in Agentic Escrow: A Game-Theoretic Analysis of ERC-8183 | Emerging Research | C. Algorithms, Agents & Theory | Yanzhen Li | University of Bristol |
| 92 | Tempered Guided Diffusion | Emerging Research | C. Algorithms, Agents & Theory | Andreas Makris | Lancaster University |
| 93 | The Local--Global Alignment Paradox: Evaluating Distributed Safety Reconstruction in Multi-Agent Systems | Emerging Research | C. Algorithms, Agents & Theory | Zhongjiang Yao | King's College London |
| 94 | Towards Diverse Models: An Investigation of Shortcut Learning | Emerging Research | C. Algorithms, Agents & Theory | Nehal Yasin | University of Southampton |
| 95 | Towards Valid Generation of Financial Tabular Data with Diffusion Models | Emerging Research | C. Algorithms, Agents & Theory | Mingxuan Yi | University of Bristol |
| 96 | Why do VAEs not give high quality generations? | Emerging Research | C. Algorithms, Agents & Theory | David Barber | University College London |
| 97 | A Diffusion Prior for Active Inference | World Class Research Track | C. Algorithms, Agents & Theory | Catherine Higham | University of Glasgow |
| 98 | Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision | World Class Research Track | C. Algorithms, Agents & Theory | Xingwei Tan | University of Sheffield |
| 99 | Leveraging variational autoencoders for multiple data imputation | World Class Research Track | C. Algorithms, Agents & Theory | Sara Wade | The University of Edinburgh |
| 100 | Low Rank properties and architectures in small Image Classification Neural Networks | World Class Research Track | C. Algorithms, Agents & Theory | Mark Sandler | Queen Mary University of London |
| 101 | Neural Mutual Information Estimation with Vector Copulas | World Class Research Track | C. Algorithms, Agents & Theory | Michael Gutmann | The University of Edinburgh |
| 102 | Online Action-Stacking Improves Reinforcement Learning Performance for Air Traffic Control | World Class Research Track | C. Algorithms, Agents & Theory | George De Ath | University of Exeter |
| 103 | EDA-Trace: An Execution-Aware Schema for EDA Optimization Trajectories | Emerging Research | C. Algorithms, Agents & Theory D. Engineering & Manufacturing |
Shu Gu | The University of Edinburgh |
| 104 | Electronic Circuit Optimisation with Graph and Sheaf Neural Networks | Emerging Research | C. Algorithms, Agents & Theory D. Engineering & Manufacturing |
Eva Maria Hita Sogorb | The University of Edinburgh |
| 105 | Late Breaking Results: Automated Design of Device Fingerprinting Circuits for FPGAs | Emerging Research | C. Algorithms, Agents & Theory D. Engineering & Manufacturing |
James Moore | Queen Mary University of London |
| 106 | Machine Learning Assisted Physics Guided Analysis and Design Space Exploration of p-Channel GaN FETs | Emerging Research | C. Algorithms, Agents & Theory D. Engineering & Manufacturing |
Fatih Arda Zengin | Sabanci University |
| 107 | Generative AI Inference for Consensus in Blockchains | Emerging Research | C. Algorithms, Agents & Theory E. Sustainability & AI |
Rik Sarkar | The University of Edinburgh |
| 108 | Geo-SMILE: Enhancing Explainability in Geospatial Machine Learning through Spatial Awareness | Emerging Research | C. Algorithms, Agents & Theory E. Sustainability & AI |
SHADIEH MOHAMMADI KAZAJ | University of Hull |
| 109 | Soft law approaches to Agentic AI: Challenges and Future directions | Emerging Research | C. Algorithms, Agents & Theory E. Sustainability & AI |
Myrto Tachia | University of York |
| 110 | Stellar: Multi-Agent Online Path Discovery for Post-Disaster Stochastic Graphs | Emerging Research | C. Algorithms, Agents & Theory E. Sustainability & AI |
Caglar Tunc | Sabanci University |
| 111 | Towards AI-Assisted Air Traffic Control: Learning Navigation and Obstacle Avoidance Rules with Transformers | Emerging Research | C. Algorithms, Agents & Theory E. Sustainability & AI |
James Edwards | University of Exeter |
| 112 | Towards Learning-Assisted Optimisation of Electric Airport Ground Support Vehicle Operations | Emerging Research | C. Algorithms, Agents & Theory E. Sustainability & AI |
Yinghao Qin | Queen Mary University of London |
| 113 | Welfare-Aware EV Charging Dispatch with Vehicle-to-Grid and Storage | Emerging Research | C. Algorithms, Agents & Theory E. Sustainability & AI |
Fariba Dehghan | University of Southampton |
| 114 | Decoupled Conformal Optimisation: Efficient Prediction Sets via Independent Tuning and Calibration | World Class Research Track | C. Algorithms, Agents & Theory E. Sustainability & AI |
Fanyi Wu | University of Manchester |
| 115 | FedORA: Federated Objective-Resolved Adaptation for Non-Stationary Environments | World Class Research Track | C. Algorithms, Agents & Theory E. Sustainability & AI |
Wai Fong Tam | Queen Mary University of London |
| 116 | GenGPLight: A Generalized Genetic Programming Framework for Traffic Signal Control in Arbitrary Intersection Structures | World Class Research Track | C. Algorithms, Agents & Theory E. Sustainability & AI |
Sahar Kianian | University of Exeter |
| 117 | GreenLine: A Delay-tolerant Mechanism Design for Grid Capacity Allocation | World Class Research Track | C. Algorithms, Agents & Theory E. Sustainability & AI |
Athina Georgara | University of Southampton |
| 118 | Calibrated by Design: Toward Uncertainty-Aware Federated Prompt-Tuning for Trustworthy Low-Resource NLP | Emerging Research | C. Algorithms, Agents & Theory F. Synergistic Human-AI Collaboration |
Ubaid Azam | University of Southampton |
| 119 | Human Proxies for Accelerated Learning in Human-Machine Teaming Tasks | Emerging Research | C. Algorithms, Agents & Theory F. Synergistic Human-AI Collaboration |
Ash Simmons | University of Exeter |
| 120 | Incremental Semantic Processing for Dialogue: Neuro-Symbolic Grammar Induction and Mechanistic Evaluation | Emerging Research | C. Algorithms, Agents & Theory F. Synergistic Human-AI Collaboration |
Arash Ashrafzadeh | Heriot-Watt University |
| 121 | Time Without Death: Finitude, Social Order, and What Machines Lack | Emerging Research | C. Algorithms, Agents & Theory F. Synergistic Human-AI Collaboration |
Canhui LIU | University College London |
| 122 | Human-in-the-Loop Testing of AI Agents for Air Traffic Control with a Regulated Assessment Framework | World Class Research Track | C. Algorithms, Agents & Theory F. Synergistic Human-AI Collaboration |
George De Ath | University of Exeter |
| 123 | I’m Sorry Driver, I’m Afraid I Can’t Do That: Appraising the Safety of LLMs within Automotive Contexts | World Class Research Track | C. Algorithms, Agents & Theory F. Synergistic Human-AI Collaboration |
Kim Littler | University of York |
| 124 | The IDEA of Us: An Identity-Aware Architecture for Autonomous Systems | World Class Research Track | C. Algorithms, Agents & Theory F. Synergistic Human-AI Collaboration |
Amel Bennaceur | The Open University |
| Wednesday, 25 November 2026, 13:15 - 14:15 - Poster Session 3 | |||||
| Poster # | Poster Title | Track | Theme | Poster Presenter | Affiliation |
| 125 | A case study in sustainable AI: Applying carbon-reducing techniques in weather forecasting frameworks | Emerging Research | E. Sustainability & AI | Kara Moraw | The University of Edinburgh |
| 126 | A System-Level Systolic Array Accelerator for Convolution Workloads | Emerging Research | E. Sustainability & AI | Eleni Tselepi | The University of Edinburgh |
| 127 | AI Agents Can Pass the IUCN Red List Exam – At What Cost? | Emerging Research | E. Sustainability & AI | Shane Weisz | University of Cambridge |
| 128 | Automating FPGA Accelerator Design using Large Language Models | Emerging Research | E. Sustainability & AI | Vinamra Sharma | University of Glasgow |
| 129 | Bayesian Sound Source Localisation of Free Flying Bats with a Gaussian Process Trajectory Prior | Emerging Research | E. Sustainability & AI | Stephen Ellis | University of Oxford |
| 130 | Corporate sustainability as kaleidoscopes to shield AI’s green economy: a critical discourse analysis on Big Tech’s private reports | Emerging Research | E. Sustainability & AI | Beatrice Bonami | The University of Edinburgh |
| 131 | Designing Inclusive and Sustainable Multilingual AI through Small Language Models | Emerging Research | E. Sustainability & AI | Anna Pramod | University of Leeds |
| 132 | Method Development for Efficient Monitoring of Seafloor Disturbance from Bottom Trawling Using Artificial Intelligence and Autonomous Surveying. | Emerging Research | E. Sustainability & AI | Mouri Hoque Nadia | University of Southampton |
| 133 | Multi-Agent Coordination of Multi-Energy Buildings | Emerging Research | E. Sustainability & AI | Samara Vazquez | University of Southampton |
| 134 | Quantifying Opportunities of Reducing CO2 Footprint of Dairy Farms with Different On-Site Renewable Generation and Regional CO2 Grid Mix | Emerging Research | E. Sustainability & AI | John Callaghan | University of Strathclyde |
| 135 | TEASBench: Tracking Evolving AI and Systems through Realistic Cost, Accuracy, and Performance Benchmarking | Emerging Research | E. Sustainability & AI | Yinsicheng Jiang | The University of Edinburgh |
| 136 | Trust Thy Neighbours: Probabilistic Pseudo-Labelling via Knowledge Distillation for Semi-Supervised Wildlife Monitoring | Emerging Research | E. Sustainability & AI | Rachael Laidlaw | University of Bristol |
| 137 | Machine Learning for Dynamic Predictions of Household Energy Demand | World Class Research Track | E. Sustainability & AI | Jenny Cox | University of Southampton |
| 138 | Perspectivism and purposiveness toward an ancestral future: cutting AI’s guts open | World Class Research Track | E. Sustainability & AI | Beatrice Bonami | The University of Edinburgh |
| 139 | What are data centres and how sustainable are they? | World Class Research Track | E. Sustainability & AI | Alexander Williams | Queen Mary University of London |
| 140 | A framework for Responsible Geospatial AI | Emerging Research | E. Sustainability & AI F. Synergistic Human-AI Collaboration |
Efstathios Margaritis | University of Southampton |
| 141 | Comparing TimeGAN and Diffusion-TS for Rare-Event Indoor Air Quality Data Augmentation | Emerging Research | E. Sustainability & AI F. Synergistic Human-AI Collaboration |
Lewis Hall Rudford | Swansea University |
| 142 | Enhancing Cultural Heritage through AI-Driven Historical Avatars in Augmented Reality | Emerging Research | E. Sustainability & AI F. Synergistic Human-AI Collaboration |
Stephen Uzor | Anglia Ruskin University |
| 143 | Whose Revolution? Rethinking AI, Belonging, and Sustainability in UK Higher Education | Emerging Research | E. Sustainability & AI F. Synergistic Human-AI Collaboration |
Tom Ritchie | University of Warwick |
| 144 | A Framework for Designing Sociotechnical Evaluation Specifications for LLMs in High-Stakes Domains | Emerging Research | F. Synergistic Human-AI Collaboration | Maria Waheed | University of Nottingham |
| 145 | A Minimal Model of Bounded Trade-Off Screening in Multi-Attribute Choice | Emerging Research | F. Synergistic Human-AI Collaboration | Manisha Dubey | The University of Edinburgh |
| 146 | Addressing sociotechnical limitations of LLMs: A platform for requirement-aligned evaluation of AI systems | Emerging Research | F. Synergistic Human-AI Collaboration | Guneet Singh Kohli | Queen Mary University of London |
| 147 | AI based Mediation for Collaborative Decision Making under Hidden Profile Conditions | Emerging Research | F. Synergistic Human-AI Collaboration | Thiara de Alwis | The University of Edinburgh |
| 148 | Automation and the Ecology of Expertise in Air Traffic Control | Emerging Research | F. Synergistic Human-AI Collaboration | Edmond Awad | University of Exeter |
| 149 | Can LLMs work in Reflexive Thematic Analysis? | Emerging Research | F. Synergistic Human-AI Collaboration | Adriana Wilde | University of Southampton |
| 150 | Computational Agents for Air Traffic Control: Explainability, Interpretability and Trust | Emerging Research | F. Synergistic Human-AI Collaboration | Robert Procter | University of Warwick |
| 151 | Conversational Visual Explanations: Towards Appropriate Reliance in Human-Centred Explainable AI | Emerging Research | F. Synergistic Human-AI Collaboration | Alex Blandin | Swansea University |
| 152 | Deepfakes and Social Legibility | Emerging Research | F. Synergistic Human-AI Collaboration | Guangwei Teng | University of York |
| 153 | Designing a Community-Governed Tool to Mediate AI Use in Minority Ethnic Communities: A Participatory Approach | Emerging Research | F. Synergistic Human-AI Collaboration | Nicholas Micallef | Swansea University |
| 154 | Designing and Demonstrating a Survivor-Informed AI Prototype for Domestic Abuse Training | Emerging Research | F. Synergistic Human-AI Collaboration | Dwynwen Hopcroft | University of Lancashire |
| 155 | Designing Victim Personas for Anti-Social Behaviour Practitioner Training: A Multi-Factorial LLM Embodiment Framework | Emerging Research | F. Synergistic Human-AI Collaboration | Rachel Hill | Swansea University |
| 156 | Early Explorations at the Intersection of Clay, AI, and Embodied Making | Emerging Research | F. Synergistic Human-AI Collaboration | Allison Waxberg | Northumbria University |
| 157 | Emerging Research in the Evaluation of Large Language Models in Law | Emerging Research | F. Synergistic Human-AI Collaboration | Joshua Kelsall | University of Warwick |
| 158 | Fairness Explanations Improve Fairness in Human-AI Decision Making: An Empirical Evaluation of Parole Decision-Making | Emerging Research | F. Synergistic Human-AI Collaboration | Peter Daish | Swansea University |
| 159 | GAIN: Generative AI Literacy and Knowledge Framework – the EDI Perspective | Emerging Research | F. Synergistic Human-AI Collaboration | Laurence Brooks | University of Sheffield |
| 160 | Human Sign-Off as an Accountability Sink for AI-Generated Records in UK General Practice | Emerging Research | F. Synergistic Human-AI Collaboration | Maureen Mwadime | Northumbria University |
| 161 | Human–AI Complementarity Through Difference: Expanding Decision Attributes and Integrating Divergent Evaluations in Everyday Decisions | Emerging Research | F. Synergistic Human-AI Collaboration | Adrian Banks | University of Surrey |
| 162 | If LLMs Misbehave, Will We Even Be Able to Tell? | Emerging Research | F. Synergistic Human-AI Collaboration | Austin Long | University of York |
| 163 | Investigating the Specific Cultural Proxies That People Need From Text-To-Image Models | Emerging Research | F. Synergistic Human-AI Collaboration | Boyd Migisha | Swansea University |
| 164 | Knowledge Repositories and Reasoning Engines: Decoupling Monolithic AI Systems | Emerging Research | F. Synergistic Human-AI Collaboration | Yihong Chen | University of Oxford |
| 165 | L2-Bench: An Evaluation Benchmark for Measuring LLM Capabilities in Second Language Education | Emerging Research | F. Synergistic Human-AI Collaboration | Wm. Matthew Kennedy | University of Oxford |
| 166 | Measuring what matters? Revealing gaps and layers in Responsible AI metrics for the public sector | Emerging Research | F. Synergistic Human-AI Collaboration | Susan Oman | University of Sheffield |
| 167 | Multimodal Embodied Support for International Students: Context-Aware Dialogue with a Virtual Avatar | Emerging Research | F. Synergistic Human-AI Collaboration | Yuying Zhang | University of Southampton |
| 168 | Navigating the landscape of LLM evaluation: Current approaches, limitations and the way forward | Emerging Research | F. Synergistic Human-AI Collaboration | Guneet Singh Kohli | Queen Mary University of London |
| 169 | Radicalisation Amplified by LLM Sycophancy | Emerging Research | F. Synergistic Human-AI Collaboration | Hirokazu Hatta | University of Bath |
| 170 | Reframing Barriers to AI Adoption: An Emerging Perspective on Responsibility in High-Stakes Environments | Emerging Research | F. Synergistic Human-AI Collaboration | Roger Kirby | University of Portsmouth |
| 171 | Skipping the IME? Keyboard-Friendly Multilingual Prompting for LLM Agents | Emerging Research | F. Synergistic Human-AI Collaboration | Xiaoxiao Zhouyi | University of Bristol |
| 172 | Synthetic Dataset Creation as Governance Infrastructure for Embodied AI Bias Evaluation | Emerging Research | F. Synergistic Human-AI Collaboration | Afifah Kashif | University of Cambridge |
| 173 | Teachers, AI, and Professional Judgement: Exploring How Teachers Make Sense of AI Use and Non-Use in Practice | Emerging Research | F. Synergistic Human-AI Collaboration | Joella Lynch | Northumbria University |
| 174 | The Six Elements of the Design Space | Emerging Research | F. Synergistic Human-AI Collaboration | Ben Wilson | Swansea University |
| 175 | Towards a Translational Framework Between Lived Law and Formal Law | Emerging Research | F. Synergistic Human-AI Collaboration | Sylvia Crow | Northumbria University |
| 176 | Towards Human-Centred AI for Assistive Cooking \\ for People Living with Dementia | Emerging Research | F. Synergistic Human-AI Collaboration | Rimvydas Rubavicius | The University of Edinburgh |
| 177 | Trust in Air Traffic Control: Implications for Agent-Based Systems | Emerging Research | F. Synergistic Human-AI Collaboration | Robert Procter | University of Warwick |
| 178 | Voices of the Wear - Exploring AI’s Role in Intangible Heritage Through Research-through-Design in North East England | Emerging Research | F. Synergistic Human-AI Collaboration | Chris Corner | Northumbria University |
| 179 | What does explainability, auditability and transparency mean to frontline health and social care practitioners? A co-design study for safer human-AI collaboration in NHS Continuing Healthcare | Emerging Research | F. Synergistic Human-AI Collaboration | Dwynwen Hopcroft | University of Lancashire |
| 180 | When Does AI Consensus Matter? The Effect of AI Consensus on Advice Adherence in a Modified Trust Game | Emerging Research | F. Synergistic Human-AI Collaboration | Thom Griffith | Cardiff University |
| 181 | Clear, Compelling Arguments: Rethinking the Foundations of Frontier AI Safety Cases | World Class Research Track | F. Synergistic Human-AI Collaboration | Shaun Feakins | University of York |
| 182 | Exploring the Use of AI-based Chatbots to Help Support Armed Forces Veterans’ Mental Health | World Class Research Track | F. Synergistic Human-AI Collaboration | Maheen Ashraf | Swansea University |
| 183 | From Automation to Authority: Introducing CCALS and REACT-HX, a Human-Expertise Framework for Safeguarding Agency in AI-Mediated Societies | World Class Research Track | F. Synergistic Human-AI Collaboration | Michal Cholerzynski | Northumbria University |
| 184 | Toward Human Rights Benchmarking for LLMs: A Pilot Methodology | World Class Research Track | F. Synergistic Human-AI Collaboration | Wm. Matthew Kennedy | University of Oxford |
| 185 | Towards a Structured Framework for Large-Scale AI-Driven Thematic Analysis on Domain-Specific Customer Feedback | World Class Research Track | F. Synergistic Human-AI Collaboration | Jade Logan | Swansea University |
| 186 | Towards Transparent AI Agents for Air Traffic Control | World Class Research Track | F. Synergistic Human-AI Collaboration | Elhassan Mohamed | The Alan Turing Institute |

