معرفی
Joe Steinhauer is a Senior Lecturer in Computer Science at the University of Skövde, affiliated with the School of Informatics and the Department of Information Technology. His research focuses on Artificial Intelligence, Machine Learning, and their applications in driver intention recognition, telecommunication networks, and healthcare systems.
Research Interests: Joe’s work spans AI-driven solutions for transportation safety (e.g., driver and pedestrian behavior prediction), anomaly detection in telecommunication networks, and data fusion techniques. His recent projects include developing advanced driver assistance systems (ADAS) for trucks and AI methods for climate-adapted water management.
Publications: Joe has published extensively on topics such as deep learning models for driver intention recognition, topic modeling for network monitoring, and uncertainty quantification in AI systems. His work bridges theoretical advancements and real-world applications in automotive safety and smart infrastructure.
Grants/Projects: Key projects include I2Connect (2023–2026), STRATUS (2021–2023), and CogniDrive (2023–2024). These initiatives aim to enhance road safety, water infrastructure resilience, and driver situation awareness through AI and data-driven approaches.
Labs/Teams: He collaborates within research groups focusing on vehicular AI, telecommunication analytics, and applied machine learning at the University of Skövde and industry partners like Volvo and CIDAN.