Naveed Ur Rehman

Naveed Ur Rehman is an Associate Professor at Aarhus University's Department of Electrical and Computer Engineering, specializing in Signal Processing and Machine Learning. His research bridges mathematical methodologies with real-world applications in biomedical systems and environmental forecasting.

His primary interests include:

• Multivariate signal analysis using Mahalanobis distance and detrended fluctuation analysis
• Graph signal processing for spatial-temporal data modeling
• Biomedical signal processing for clinical applications (e.g., IRRAflow® system evaluation)
• Machine learning integration with signal decomposition techniques
• Environmental monitoring systems for air quality forecasting

Recent publications demonstrate his focus on developing adaptive signal processing frameworks that address both theoretical challenges and practical implementations. This includes:

• Time-varying graph processing methodologies
• Hybrid machine learning/signal decomposition techniques
• Statistical validation approaches for denoising algorithms
• Biomedical device performance analysis
• Multi-scale functional connectivity modeling

His work spans interdisciplinary collaborations, particularly with medical researchers for intracranial pressure management systems and environmental scientists for air quality modeling.