Sandro Carrara

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Adjunct Professor

sandro.carrara@epfl.ch +41 21 693 09 15 https://www.epfl.ch/labs/iclab/index-html/bci-group/

Citizenship : Italian

Birth date : 17.05.1964

EPFL STI IMT ICLAB
Rue de la Maladière 71b, CP 526
CH-2002 Neuchâtel 2

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

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

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

EPFL VPRHO DSPS COSEC-STI
INF 338 (Bâtiment INF)
Station 14
CH-1015 Lausanne

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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)

Publications

Infoscience publications

Other publications

Research

Teaching & PhD

Teaching

Electrical and Electronics Engineering

PhD Programs

Doctoral Program in Electrical Engineering

Doctoral Program in Microsystems and Microelectronics

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 eh wireless transmission of teh obtained signals.

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.