Our Team

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

ML-Based Freight Market Segment Classification

Prototype Anomaly Detection in Aluminium Casting Process

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

The Impact of Process Design and Data-Supported Technology Usage on Process Efficiency in Work Systems: A Data-Informed Analysis

Ontology-Guided Hybrid Causal Discovery in ESG Data

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

Developing a Conceptual Framework for Using Large Language Models (LLMs) in Sustainability/ESG Data Collection and Report Generation: A Systematic Literature Review

Safety-Constrained Causal Reinforcement Learning for CO₂-Efficient Fleet Dispatching

External Shock Event Database Construction

Federated Learning Framework for Privacy-Preserving ESG Risk Assessment