Schedule of Refereed Paper Sessions

Wednesday December 16th 2026. 10.00 a.m. Best Refereed Technical Paper

Empirical Performance Evaluation of Synchronous and Asynchronous Particle Swarm Optimization and Population based Hill Climbing on Engineering Optimization Problems
Christoph Tholen (Bochum University of Applied Sciences, Germany), Lars Nolle (Jade University of Applied Sciences, Germany)

Wednesday December 16th 2026. 12.20 p.m. Paper Session 1

Session 1A. Lecture Theatre: Machine Learning 1

A novel X-of-N Attribute Construction Method for Multi-Label Classification of Drugs` Adverse Reactions
Konstantinos Kardatos and Alex A. Freitas (University of Kent, UK)

Partial Efficiency Analysis Trees: Robust Order-α and Order-m Frontiers through Machine Learning
J. Aparicio (Miguel Hernandez University of Elche, Spain; Valencian Graduate School and Research Network of Artificial Intelligence, Spain) and V. Charles (Queen’s University Belfast, UK)

Session 1B. Davison Room: Large Language Models and Agentic AI

SLM-Conditioned Hierarchical Relationship Routing for Labeled Property Graph Learning
M. Podstawski (NASK National Research Institute, Warsaw, Poland)

Can We Trust Autonomous Science? A Human-in-the-Loop Architecture for Rapid Scientific Discovery
Mayank Kejriwal, Yidan Sun and Ashwath Vaithinathan Aravindan (University of Southern California, USA)

Session 1C. Lubbock Room: Case-Based Reasoning Systems

Towards Explainable and Reusable Temporal Case-Based Reasoning in Predictive Maintenance: A Research Environment
Alexander Schultheis, Maximilian Späth, Justin Weich, and Ralph Bergmann (Trier University, Germany; DFKI, Germany)

Applying Distributed Case-Based Reasoning in the Edge-Cloud Continuum
Alexander Schultheis, and David Jilg (DFKI, Germany; Trier University, Germany), Ralph Traphöner (Empolis Information Management GmbH, Germany), Roman Schander and Ralph Bergmann (DFKI, Germany; Trier University, Germany)

Wednesday December 16th 2026. 14.30 p.m. Paper Session 2

Session 2A. Lecture Theatre: Machine Learning 2

Dual-Memory Enhancement for Fully Analog Memristive Time Delay Reservoirs
Xinming Shi (Queen’s University Belfast, UK), Xin Yao (Lingnan University, Hong Kong SAR)

WNeXt: Structured Feature Integration for Polyp Segmentation
A. Dugăeșescu and A.M. Florea (National University of Science and Technology Politehnica Bucharest, Romania)

Learning the Feature Spaces of Tree-structured Data
Aleksandr Berezin and Ammar Memari (Jade University of Applied Sciences, Germany), Eric MSP Veith (OFFIS – Institute for Information Technology, Germany)

Mahalanobis-Guided Pseudo-Labeling for Label-Efficient Semi-Supervised GNSS Jamming Classification with Convolutional Tsetlin Machines
Sindhusha Jeeru, Rebekka Olsson Omslandseter, Per-Arne Andersen, and Lei Jiao (University of Agder, Norway)

Session 2B. Davison Room: Machine Learning and Large Language Models 1

Ledger-Aware Multi-Agent Deep Reinforcement Learning for Perishable Blockchain-Enabled Agri-Food Supply Chains
M. Khan, B. Alothman (Kuwait College of Science and Technology, Kuwait), and L. Balazs (Hungarian University of Agriculture and Life Sciences, Hungary)

Adapting Diffusion-Based LiDAR Scene Completion to Underwater SONAR Bathymetry
V. Madamanchi (Hochschule Bremen – City University of Applied Sciences, Germany; German Research Center for Artificial Intelligence), A. Elsayed (German Research Center for Artificial Intelligence; Osnabrück University, Germany), B. Lehmann (Hochschule Bremen – City University of Applied Sciences, Germany), F. Stahl (German Research Center for Artificial Intelligence; Jade Hochschule, University of Applied Sciences in Oldenburg, Germany)

Intelligent Energy Management in Hospitality: A Stacked Machine Learning Framework for Electricity Consumption Forecasting with Real-World Deployment
Benhur Bakhtiari Bastaki, John Atughara and Tharaka Ilayperuma (University of Staffordshire, UK), Dale Nix and Mark Jelly (Avenue 9 Solutions)

Explaining UK Graduate Employment Outcomes with Interpretable Machine Learning: A Cohort-Cell Analysis of HESA Open Data, 2017–2024
Christy Jackson Joshua (University of the West of Scotland, London Campus, UK)

Session 2C. Lubbock Room: Vision, Speech, Natural Language and Intelligent Environments

Limits of Image Restoration in Heavily Degraded TEMPEST Images
Filip Tuch, Zuzana Černeková and Richard Ostertág (Comenius University, Bratislava, Slovakia)

Deterministic Machine Reasoning Using Ethical Values
Martin J. Wheatman (Enguage.org, UK)

MODUS: Multimodal Open-set Domain-Generalised Speaker Verification with Dual-level Fusion
S. Anwar, N. Wiratunga and M. Snaith (Robert Gordon University, UK)

Engineering Context-awareness for Intelligent Environments
Juan Carlos Augusto (Middlesex University London, UK)

Wednesday December 16th 2026. 16.00 p.m. Paper Session 3

Session 3A. Lecture Theatre: Machine Learning 3

Ensemble Feature Ranking Explanations via Bayesian Modeling
C. Leluschko (German Research Center for Artificial Intelligence RG Marine Perception; Carl von Ossietzky Universität Oldenburg, Germany), C. Manß (German Research Center for Artificial Intelligence RG Marine Perception), C. Tholen (German Research Center for Artificial Intelligence RG Marine Perception; Bochum University of Applied Sciences, Germany), F. Stahl (German Research Center for Artificial Intelligence RG Marine Perception; Jade University of Applied Sciences, Germany), A. Hahn (Carl von Ossietzky Universität Oldenburg, Germany; German Aerospace Center, Institute of Systems Engineering for Future Mobility, Germany)

Feature-Token Reconstruction for Tabular Anomaly Detection: Locality, and Bottleneck Cost
JC Huskisson and J Grobler (Stellenbosch University, South Africa)

Data Augmentation to Improve the Training of Convolutional Kolmogorov-Arnold Networks
P. Smith and A.J. Parkes (University of Nottingham, UK)

Towards Interpretable Satellite Index Formulas from Multispectral Data using Feature Relevance and Symbolic Regression
E. Rodenbäck, C. Manss, J. Schneider (German Research Center for Artificial Intelligence), F. Stahl (German Research Center for Artificial Intelligence; Jade Hochschule, Germany)

Session 3B. Davison Room: Machine Learning and Large Language Models 2

Assessing Robustness to Catastrophic Forgetting in Continual Deep Reinforcement Learning for Cyber-Physical Systems
Kim N. Nolle, Ivana Dusparic, Rhodri Cusack and Vinny Cahill (Trinity College Dublin, Ireland)

Tracking GNSS Deception at Sea: SpoofCloudFinder for Detecting Coordinated Multi-Vessel Anomalies in AIS Data
F. Czapski, N. Abbas (University of Leeds, UK)

Pakistan Forest Observatory: A Knowledge-Based Platform for AI-Driven Forest Monitoring, Risk Assessment, and Operational Management
Muhammad Sohaib Ayub (University of Galway, Ireland), Sikander Bakhat and Mian Muhammad Awais (Lahore University of Management Sciences, Pakistan), Aqeela Mobeen Akhter (Punjab Forestry Research Institute, Faisalabad, Pakistan), and Umair ul Hassan (University of Galway, Ireland)

MCP-Mediated Grid Knowledge Graph and Ontology Access for Confidential LLM-Based Power-Grid Decision Support System
Jérôme Agater (Jade Hochschule, Wilhelmshaven, Germany) Talina Eugene-Combette and Evan Grosset-Janin (Université de Bordeaux, France) Ammar Memari (Jade Hochschule, Wilhelmshaven, Germany) Jorge Marx Gómez (VLBA, Carl von Ossietzky Universität Oldenburg, Germany)

Session 3C. Lubbock Room: Medical Computing and Health Informatics

Biomechanically Constrained Deep Learning for Rib Fracture Detection on Chest Radiographs
Xi Liu (University of Science and Technology of China, China), Anthony Howard (Wrightington Hospital, UK), Shufan Yang (University of Leeds, UK)

Learning Circadian Phase from Actigraphy via Temperature-Derived Supervision
Stuart Gallina Ottersen and Kerstin Bach (Norwegian University of Science and Technology, Trondheim, Norway)

Hilbert-Huang Image Encodings for Stress Detection from Blood Volume Pulse and Electrodermal Activity Signals
Mjellma Çitaku, Marko Hofmann and Silja Meyer-Nieberg (University of the Bundeswehr Munich, Germany)

Towards WiFi-CSI-Based Recognition of Nursing Care Activities: A Work-in-Progress Study and Preliminary Dataset Design
Tarek El Ouni and Frank Wallhoff (Jade University of Applied Sciences, Oldenburg, Germany)

Thursday December 17th 2026. 10.00 a.m. Best Refereed Application Paper

On Adapting Time Series Foundation Models for Stress Detection
Jae-Eun Nam and S. Meyer-Nieberg (University of the Bundeswehr, Neubiberg, Germany)

Thursday December 17th 2026. 11.10 a.m. Best Technical Student Paper

JSONSeqBench: Towards better schema design
Shankar Palamootil and J Grobler (Stellenbosch University, South Africa)

Thursday December 17th 2026. 11.10 a.m. Best Student Application Paper

Forecasting High Speed 2 Construction Environmental Impacts
Xu Feng, K.A. Nguyen, J. Ahluwalia (Royal Holloway University of London, UK), M. Tye (High Speed 2, UK)

Thursday December 17th 2026. 14.30 p.m. Paper Session 4

Session 4A. Lecture Theatre: Social Impact and Integration

AI360Degree: A Multi-Agent Governance Architecture for Continuous AI Compliance and Trust Assurance
Md Mahmudul Hasan, Silvia Cirstea, Firas Hazzaa, and Ashim Chakraborty (Anglia Ruskin University, Cambridge, UK)

Beyond User Error: Governing Hallucination Risk in Public Sector Legal Services
A Ma (Birmingham City University, UK)

Cross-Domain Evaluation of a Cascaded Anti-UAV Detection System: Why Some Stages Generalise and Others Collapse
Priyansh Patel, Rawad Hammad, Nabeela Berardinelli, and Nadeem Qazi (University of East London, UK)

Session 4B. Davison Room: Evaluation of AI Systems

Network Centrality, Adversarial Trading, and Crisis Deterrence: Evidence from a Multi-Agent Crisis Simulation
Zorina Alliata (Academy of Economic Studies, Bucharest)

Civic Pair Prompting: Evaluating AI Failure Modes in UK Local Government Documents
Katryna Peart (GovAIExpert)

Beyond Deployment: Governance Gaps in the Oversight of Operational AI
E. Moss (Rossnet, Torquay, UK) and J. Ross (Rossnet, Torquay, UK; University of Plymouth, UK)

Session 4C. Lubbock Room: Industrial Applications of AI

Beyond Average Error Minimization: Forecasting Critical Transformer Loading in Low-Voltage Networks
Alexander Kramer (Jade University of Applied Sciences, Wilhelmshaven, Germany; EWE NETZ GmbH, Oldenburg, Germany), Ammar Memari (Jade University of Applied Sciences, Wilhelmshaven, Germany )

Textile Material Classification Using Hyperspectral Imaging and Machine Learning
Ladan Salimi, Xuan Zhang, Arnoud Jochemsen, and Ellen Nordgård-Hansen (NORCE Research, Grimstad, Norway)