Head of the Research Group
Research Associates and PhD students
Research and Teaching Assistants
Research Students
Prompt Engineering for Reducing Sensitivity Leakage in LLM-Based Analysis of Vehicular Telematics
Realtime Agricultural Product Price Forecasting Using Explainable Deep Learning
Enhancing Data Quality in Project Management: A Machine Learning Approach to Real-Time User Guidance
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
Developing a Conceptual Framework for Using Large Language Models (LLMs) in Sustainability/ESG Data Collection and Report Generation: A Systematic Literature Review
Comparative Analysis of Statistical, Machine Learning, and Deep Learning Imputation Algorithms for Time Series Data: Foundations for Reliable Causal Discovery
Automated Root Cause Analysis in Automotive Software testing Leveraging LLMs
Research topic: What are the benefits and challenges of using federated learning for ESG assessments in supply chains?
Exploring Machine Learning and Deep Learning Architectures for Time Series Predictive Maintenance
Uncovering Causal Relationships in Text Documents with Large Language Models (LLMs)
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
Research topic: Factors affecting the willingness of consumers to adopt Cooperative, Connected, and Automated Mobility: A structural Equation Modelling Analysis
Research Topic: Effective route planning using Machine Learning and Explainable AI
Research topic: Causal machine learning to improve software project management
Research topic: Conducting a causal analysis for sustainable transportation based on a case study using causal discovery methods into the analysis of time series data
Research topic: Analysing links among factors driving voluntary carbon offsetting through causal machine learning
Research topic: Deep reinforcement learning for industrial task scheduling: A2C approach
Research topic: Causal Discovery and analysis of power consumption time series of CNC machine
Research topic: Predicting train delays with causal machine learning
Research topic: The necessity of network security for data protections implementation of network security
Research topic: Object detection and semantic annotation from 3D images of digital twin assets for transport infrastructure management using machine learning
Research topic: Leveraging AI to generate personalized educational content to help optimize time, effort, and cost
Research topic: Development of metrics to measure the explainability of machine learning models for digital twin
Research topic: The role of digital twin in production and demand planning
Research topic: Explainable AI for Object Detection in 3D PointClouds
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