We are delighted to announce that Ehsan Sadeghi has successfully defended his PhD thesis, titled "Waves of Well-being: An Exploration of Remote Health Monitoring Across Species Using FMCW Radar." His groundbreaking research paves the way for more effective, non-invasive health monitoring solutions for both humans and animals.
Traditional contact-based health monitoring methods often come with significant challenges, including discomfort, inconsistent usage, and stress—particularly in vulnerable populations. Ehsan’s research explores the use of Frequency Modulated Continuous Wave (FMCW) radar as an innovative alternative, offering accuracy, privacy, and adaptability without the need for physical contact.
His thesis identifies essential health indicators—such as heart rate, respiration, activity, and posture—and demonstrates how FMCW radar can effectively track these metrics across humans, livestock, and pets. By leveraging advanced signal processing techniques and AI-driven models, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), he developed algorithms that accurately estimate vital signs and recognize behavioral patterns in diverse environments.
Beyond human applications, Ehsan extended FMCW radar technology to veterinary health monitoring, addressing unique challenges such as species-specific physiology and environmental factors. Through experiments with calves, dogs, and cats, his research refined signal processing techniques to ensure precise, real-time monitoring of animal health and welfare.
Ehsan’s work bridges the gap between biomedical engineering and veterinary science, positioning FMCW radar as a transformative tool for privacy-sensitive, non-invasive health monitoring. His contributions promise significant improvements in healthcare accessibility, efficiency, and well-being across species.
Congratulations to Dr. Ehsan Sadeghi on this remarkable achievement!
