Sandro Carrara

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Adjunct Professor

sandro.carrara@epfl.ch +41 21 693 09 15 https://www.epfl.ch/labs/bci/

Citizenship: Swiss and Italian

Birth date: 17.05.1964

EPFL STI IEM SCI-STI-SC
MC A3 218 (Bâtiment MC)
Rue de la Maladière 71b, CP 526
2002 Neuchâtel 2

Web site:  Web site:  https://www.epfl.ch/labs/bci/

EPFL IC IINFCOM LSI1
INF 338 (Bâtiment INF)
Station 14
1015 Lausanne

Web site:  Web site:  https://lsi.epfl.ch/

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Administrative data

Fields of expertise

Research___________________________ 
1. Thin Film Biophysics 
2. Nanotechnology 
3. CMOS design 
 
Teaching (courses)________________ 
1. 

Education

Diplôme en Electronique

institute technique National de Albenga (Italie)

Master en Physique

Université de Gênes (Italie)

Doctorat en biochimie de biophysique

Université de Padoue (Italie)


Awards

IEEE Fellow

in recognition for contributions to design of nanoscale biological CMOS sensors

2015

IEEE Sensors Council Technical Achievement Award

for design of nanoscale biological CMOS sensory systems and for leadership in the emerging area of co-design in Bio/Nano/CMOS interfaces for sensing

2016

Distinguished Lecturer

of the IEEE Sensors Council

2017

Best Paper Award

by the Sensors Council at the IEEE Symposium MeMeA, Bari, Italy

2020

2nd Best Paper Award

at the IEEE Sensors Conference, Montreal, Canada

2019

Gold Leaf Prize

at the 1st IEEE/NGCAS international Conference, Genoa, Italy

2017

Best Poster Award

at the EMBEC’17 international Conference, Tampere, Finland

2017

Best Paper Award

at the MOBIHEALTH international Conference, Milan, Italy

2016

Gold Leaf Prize

at the 11th PRIME international Conference, Glasgow, UK

2015

Distinguished Lecturer

of the IEEE Circuits and Systems Society

2013

First Prize, Best Poster Award

for the best poster at the Nano-Tera Annual Meeting, Bern, Switzerland

2011

Bronze Leaf Prize

at the 6th PRIME international Conference, Berlin, Germany

2010

Gold Leaf Prize

at the 5th PRIME international Conference, Cork, Ireland

2009

Publications

Infoscience publications

Other publications

Research

Teaching & PhD

Teaching

Electrical and Electronics Engineering

Other Students

PhD Students in remote / Guest PhD Students
Maurine Andanje (2022-2026), Joseph Jjagwe (2022-2026), Mallikarjun Madagalam (2021-2024), Yihe Zhao (2021-2022), Maria Antonietta Casulli (2019-2022), Marco Scarpetta
(2022), Mattia Alessandro Ragolia (2022), Simone Aiassa (2017-2021), Nattakarn Wuthibenjaphonchai (2018-2020), Mahshid Alsadat Padash (2019), Abuduwaili Tuoheti (2018), Sattar Akbari Nakhjavani (2018), Ana De Sousa Valinhas (2017), Sarah Tonello (2017), Xiaoling Lu (2016), Marius Schirmer (2016), Jacopo Secco (2015), Gabriella Sanzò (2014), Narayanan Srinivasan (2014), Ali Zaher (2014), Ismael Rattalino (2013), Evripides Kyriakides (2012), Alice Dimonte (2011), Giovanna De Vecchio (2010)

Courses

Electrical engineering science and technology (Spring)

This course provides an introduction to electricity. Electricity main laws and the fundamental elements of linear DC circuits will be covered. The student will also learn how to analyze electric circuits.

Bio-nano-chip design

Introduction to heterogeneous integration for Nano-Bio-CMOS sensors on Chip. Understanding and designing of active Bio/CMOS interfaces powered by nanostructures.

Analog circuits for biochip

Introduction to analog CMOS design for Remote Biosensors on Chip. Understanding and designing of active and remotely powered biosensing systems. Basic understanding of the wireless transmission of the obtained signals.

Usability engineering

Introduction to Human Factors/Usability Engineering theory and research methods. Human Factors Engineering/Usability is interdisciplinary and focuses on human cognition, behavior and ergonomics in design. The course focus on human systems integration and human functions in machine/product systems

Electrochemical nano-bio-sensing and bio/CMOS interfaces

Main aim of the course is to introduce, in designing of modern wearable and implantable devices, the new concept of co-design three system' layers: Bio for Specificity, Nano for Sensitivity, and CMOS for autonomy. Recent examples of devices realised for m-Health are presented and deeply discussed.