Start: 10:50 BST

Finish: 11:30 BST

Posters should be A0 portrait. Before the session, please display your poster on the corresponding board. Please ask at the registration desk if you need any assistance.

Board Poster Presenter Institution
1 When More Agents Hurt: Coordination Tax and Held-Out Evaluation in Cyber-Physical AI Systems Mateo Petel Stanford University
2 Emergent Equilibrium in Coupled Resource-Constrained Systems via Decentralised Multi-Agent Learning Niloofar Aminikalibar Aston University
3 Instance-Aware Parameter Configuration in Bilevel Late Acceptance Hill Climbing for the Electric Capacitated Vehicle Routing Problem Yinghao Qin Queen Mary University of London
4 AI-Based Multi-Objective Evolutionary Optimisation for Low-Carbon Multimodal Freight Routing on the China–Europe Corridor Yueru Shang Loughborough University
5 A Data-Driven Two-Stage Predictor for En-Route Aircraft Turnaround Time Clarizze Cuntapay Queen Mary University of London
6 Linguistic patterns and communication strategies in Human-Robot interaction in collaborative robotic laundry sorting tasks Joshua Moore University of Nottingham
7 When Does Learning Help? Multi-Agent Coordination Under Real-World Operational Constraints Pranup Chhetri Aston University
8 A Principled Probabilistic Machine Learning Framework for Optical Communication Channels Sina Seyfadini Kuhbanani Aston University
9 No-Load Core Loss Prediction in Power Transformers: A Stacking Ensemble Machine Learning Approach Walter Lee GE Vernova; Edinburgh Napier University
10 Early Failure Detection in Industrial IoT: A Comparative Study of Machine Learning Algorithms on Imbalanced Sensor Data Temitope Olubusola Ajayi Teesside University
11 AIMS-SHM: Agentic Intelligent Monitoring System for Structural Health Monitoring under non-stationary degradation Anshu Sharma University of Strathclyde
12 Trustworthy Online Learning from Erroneous Feedback: Robustness to Sparse Unbounded Corruption Chun Yin Chiu King’s College London
13 Mechanism Learning: Reverse causal inference in the presence of multiple unknown confounding through causally weighted Gaussian mixture models Jianqiao Mao University of Birmingham
14 CLEAVE: Cyclic Ensemble Learning for Semi-Seasonal Time-Series Forecasting Niloofar Aminikalibar Aston University
15 The Hill Activation Functions: Biologically-Motivated Parametric Activation Functions for Neural Networks Catarina Gomes da Costa University of Nottingham
16 Towards Explainable and Generalisable Waste Classification: A Two-Stage CNN Approach on Hybrid Data Sankarasubramanian Sivasylam University of Hull
17 Enhancing Transformer Representations of Symbolic ODE Expressions Xiyue Fan University of Southampton
18 SKIT: Structured Kernel Interpolation Transformer for Time Series Forecasting Oyebamiji Oluwole Kehinde University of Birmingham
19 TraceGraph: Evidence-Centric Knowledge-Graph Reasoning for Explainable Software Maintenance Chun Yin Chiu King’s College London
20 3D Reconstruction of Common Objects from a Single RGB Image Soumyabrata Dev Trinity College Dublin
21 Probabilistic Spatiotemporal Modelling with Kernelised Attention Oyebamiji Oluwole Kehinde University of Birmingham
22 PLAN-AID: Plan Analysis and Inclusive Design through Lived Experience and AI Angelia Zhuoran Yu University of Nottingham