Stefano Kron
Stefano Kron
Stefano is a Ph.D. candidate at IMDEA Networks Institute and a researcher within the ANT MSCA Doctoral Network. His research focuses on developing novel on-device continual learning methods for tiny devices, enabling them to adapt in real time under strict memory, battery, and computational constraints. His work aims to create efficient and reliable AI systems for mobile healthcare and human-machine interaction. His doctoral research is supervised by Prof. J. Widmer and Prof. D. Giustiniano (IMDEA Networks), along with co-supervisors Prof. Q. Wang (TU Delft) and Dr. D. Pau (STMicroelectronics).
He holds a Bachelor’s degree in Biomedical Engineering from Politecnico di Milano and a Master’s degree in Biomedical Engineering from ETH Zurich. During his undergraduate studies, he built a solid foundation in sensing technologies, electronics, and biosignal processing. During his Master’s studies, he specialized in embedded systems, wearable technologies, and machine learning, while also gaining practical industry experience as a firmware engineer at a medical device startup. For his Master’s thesis, he designed deep learning models and explored multi-sensor fusion for non-invasive, cuffless blood pressure monitoring. Following his graduation, he worked as a research assistant at ETH Zurich, contributing to projects centered on vital sign monitoring and human sensing.
His research interests lie at the intersection of hardware and software, specifically in the design of smart sensing systems and on-device intelligence. More broadly, he is interested in the integration of multi-modal sensing technologies, low-power embedded platforms, signal processing, and optimized AI models to advance the next generation of IoT and wearable devices. Ultimately, his goal is to enhance human lives through unobtrusive, intelligent machine interfaces.