Head of the Research Group
Research Associates and PhD students
Research and Teaching Assistants
Research Students
Former Members
Former Research Students
Research topic: Revolutionizing Mobility: Unveiling the potential of Artificial Intelligence in Cooperative, Connective and Automated Mobility (CCAM)
Digital twins enablement in manufacturing: Conceptual model of digital twins and their impact on sustainability
Extracting casual graphs on supply chain resilience and sustainablity from documents using open source LLMs
Prompt Engineering for Reducing Sensitivity Leakage in LLM-Based Analysis of Vehicular Telematics
Research topic: Factors affecting the willingness of consumers to adopt Cooperative, Connected, and Automated Mobility: A structural Equation Modelling Analysis
Realtime Agricultural Product Price Forecasting Using Explainable Deep Learning
Designing Counterfactual ‘What-If’ Scenarios for Logistics Digital Twin Replays
Research Topic: Effective route planning using Machine Learning and Explainable AI
Research topic: Causal machine learning to improve software project management
Enhancing Data Quality in Project Management: A Machine Learning Approach to Real-Time User Guidance
Prompting Strategies to Reduce Data Sensitivity in LLMs: Insights from Vehicle Telematics with Time Series Imputation
Object Detection of Surgical Equipment in Hospitals Using Explainable Deep Learning
Optimizing Production Planning for Circular Economy Integration: A Reinforcement Learning Approach
KPI Set for Operational Forest Digital Twins (Indicator Dictionary + Computation Specs)
From PDFs to Knowledge Graphs: An Ontology-Driven, Agentic AI Pipeline for Supply-Chain Resilience
Transformer-Based Foundation Models for Predictive Maintenance
LLM Prompt for Privacy Reducing Sensitivity Leakage in LLM Applied to Vehicular Systems
An Ontology-Based Modeling Approach for Integrating KPIs and Operational Constraints in Sustainable Urban Logistics Systems