Andrea Cossettini
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Andrea Cossettini
Andrea Cossettini is a Project Leader at the Integrated Systems Laboratory of ETH Zurich and Research Cooperation Manager of the ETH Future Computing Laboratory.
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 won the PhD Award from the University of Udine. His post-doctoral research focus was on circuits and systems design for biomedical applications, with a special emphasis on ultrasound and EEG.
Interests
- Analog/mixed-signal biomedical circuits and systems design
- Medical Ultrasound Imaging
- EEG/EMG wearable systems
- High-speed PCB design and electromagnetic/signal-integrity simulations
- Nanoelectronic biosensors
Project Areas
Available Projects
Most of the projects evolve very fast. If you are interested in the research areas mentioned above, send me a message to discuss up-to-date project opportunities. Showing up with your own project ideas is also very appreciated.
- EEG-based drowsiness detection
- In-ear EEG signal acquisition
- EEG earbud
- Development Of An FPGA-Based Optoacoustic Image Reconstruction Platform for Clinical Applications
- Ultrasound measurement of microbubble stiffness for in situ detection of protease activity in clinical settings
- Advanced EEG glasses
- Predict eye movement through brain activity
- Design of combined Ultrasound and PPG systems
- Improving datarate and efficiency of ultra low power wearable ultrasound
- Battery indifferent wearable Ultrasound
- Wearable Ultrasound for Artery monitoring
- Machine Learning for extracting Muscle features from Ultrasound raw data
- Self Aware Epilepsy Monitoring
- EEG artifact detection with machine learning
- EEG artifact detection for epilepsy monitoring
- Automatic unplugging detection for Ultrasound probes
- Machine Learning on Ultrasound Images
- Nanoelectrode array biosensors - programmable non-overlapping clocks generator project
- Visualizing Functional Microbubbles using Ultrasound Imaging
Projects in progress
- Ultrasound Doppler system development
- On - Device Continual Learning for Seizure Detection on GAP9
- Ultrasound-EMG combined hand gesture recognition
Completed Projects
- Smart e-glasses for concealed recording of EEG signals
- Continual Learning for Adaptive EEG Monitoring in Epileptic Seizure Detection
- Wireless EEG Acquisition and Processing
- Ultrasound based hand gesture recognition
- Design of combined Ultrasound and Electromyography systems
- Ultra low power wearable ultrasound probe
- Machine Learning for extracting Muscle features using Ultrasound 2
- Ultrasound Low power WiFi with IMX7
- Ultrasound signal processing acceleration with CUDA
- Minimum Variance Beamforming for Wearable Ultrasound Probes
- Machine Learning for extracting Muscle features using Ultrasound
- Compression of Ultrasound data on FPGA
- LightProbe - 200G Remote DMA for GPU FPGA Data Transfers
- Time Gain Compensation for Ultrasound Imaging
Contact Information
- Office: ETZ J78
- e-mail: cossettini.andrea@iis.ee.ethz.ch
- phone: (+41 44 63) 378 97
- www: Andrea Cossettini (personal page)
- www: Andrea Cossettini (IIS homepage)
- www: Andrea Cossettini (ETH homepage)
