🔊 Wearable Ultrasound & Imaging Systems
Low-power wireless ultrasound probes, ultrafast ultrasound and optoacoustics, system integration (patches, armbands), and embedded processing for continuous cardiovascular and musculoskeletal monitoring.
Project Leader & Lecturer, Integrated Systems Laboratory (IIS), ETH Zurich
Research Cooperation Manager, ETH Future Computing Laboratory (EFCL)
Circuits, systems, and edge AI for biomedical and healthcare applications.
Andrea Cossettini is a Project Leader and Lecturer at the Integrated Systems Laboratory (IIS) of ETH Zurich, and Research Cooperation Manager of the ETH Future Computing Laboratory (EFCL). He received his PhD, M.Sc., and B.Sc. degrees in Electronic Engineering from the University of Udine (Italy), in 2019, 2015, and 2012, respectively.
He worked on THz electromagnetic design at Acreo Swedish ICT AB (Sweden, in 2014) and on signal integrity for high-speed serial interfaces at Infineon Technologies (Austria, in 2014–2015). During his PhD , he worked on nanoelectrode array biosensors for high-frequency impedance spectroscopy and imaging, for which he received the PhD Award from the University of Udine.
His research focus is on circuits and systems design for biomedical applications, with a special emphasis on wearable ultrasound and imaging and neural interfaces and EEG-based systems .
My research focus is on circuits, systems, and edge AI for biomedical and healthcare applications.
Low-power wireless ultrasound probes, ultrafast ultrasound and optoacoustics, system integration (patches, armbands), and embedded processing for continuous cardiovascular and musculoskeletal monitoring.
Wearable EEG/ExG platforms (smart glasses, earbuds, …), brain monitoring, artifact detection, and human–machine interfaces for neurological applications.
TinyML on MCUs, continual learning, and deployable foundation models for multi-modal physiological data.
Nanoelectrode arrays, impedimetric biosensors, dielectrophoresis, electronic noses, and low-power embedded systems for biomedical and environmental sensing.
Epilepsy and seizure monitoring, cardiovascular health assessment, sleep analysis, drowsiness detection, and other application-driven physiological studies connecting hardware and algorithms to clinical needs.
ETH Zurich, OAT U27
Andreasstrasse 5, 8050 Zurich, Switzerland
cosandre@iis.ee.ethz.ch
(For MS teams invites: cosandre@ethz.ch)