Our Team

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