Laura M. Ferrari
Post-Doctoral Researcher
Inria – 2004 route des Lucioles – BP 93
06902 Sophia Antipolis Cedex
email : laura.ferrari@inria.fr
WHO I AM
I’m a post-doctoral researcher at Université Côte d’Azur, Inria Sophia Antipolis, with a funded fellowship (Ville de Nice and French government UCAJEDI project – ANR-15-IDEX-01) and I’m part of the CoBTeK Lab. My research interest is the understanding of true emotions in real-life scenarios. My current research topic include the design of novel architectures that allow to tackle emotion recognition through limited sensors, especially from cameras and biosensors. My aim is to develop novel methods to improve the quality of life of people with emotion disorders, in the neuroscience field, by advancing the state-of-the-art. My attitude is extremely multidisciplinary, bridging together data science, material science and neuroscience.
MY BACKGROUND
I’m a biomedical engineer (School of engineer, Pisa) and I received my Phd at the Biorobotic Institute of Scuola Superiore Sant’Anna (CMBR – IIT@SSSA) working on conformable and flexible sensors based on conductive polymers and large area methods. One of my main contribution are tattoo electrodes for broad electrophysiological measurements in skin-contact set-ups. I have a strong link with industry, I collaborated with start-ups and companies, and I have direct experience with clinical setting, I worked as Sr Researcher in Hospital (San Raffaele, Milano).
Research topics
Machine learning for multimodal data – Methods for heterogeneous datasets (mainly biosignals and video) to go wild in real-life and improve clinical assessments in neuroscience.
Wearable Technologies – Daily monitoring of vital signals as electrocardiography, electrodermal activity, respiration rate etc. through advanced conformable skin interface (as tattoo electrodes) and flexible electronics.
Emotion recognition – Protocols and methods to improve accuracy in algorithms.
Publications
SELECTED CONTRIBUTIONS
9/04/2021 ~ Machine learning method for electroencephalography event detection through optimal electrode set-up.
L.M. Ferrari, G.A. Hanna, P. Volpe, E. Ismailova, F. Bremond and M. A. Zuluaga, One-class autoencoder approach for optimal electrode set-up identification in wearable EEG event monitoring, IEEE EMBC.
10/2/2021 ~ Flexible sensing in neuroengineering.
L.M. Ferrari*, A. Bonisoli*, B. Rodriguez*, A. Cutrone, S. Micera, X. Navarro, F. Greco and J. Del Valle, All-polymer printed low-cost regenerative nerve cuff electrodes, Front. Bioeng. Biotechnol .
1/1/2021 ~ Ultraconformable organic devices
(Book chapter) L. M. Ferrari, S. Taccola, J. Barsotti, V. Mattoli, F. Greco, chapter on Ultraconformable Organic Devices; Organic Flexible Electronics: Fundamentals, Devices and Applications, Elsevier Science & Technology Books (2021)
17/03/2020 ~ Tattoo electrodes in clinical electroencephalography/magnetoencephalography recordings.
L.M. Ferrari, U. Ismailov, J.M. Badier, F. Greco and E. Ismailova, Conducting polymer tattoo electrodes in clinical electro- and magneto-encephalography. npj Flex Electron (2020).
03/01/2018 ~ Tattoo electrodes in surface electrophysiology.
L.M. Ferrari*, S. Sudha*, S. Tarantino, R. Esposti, F. Bolzoni, P. Cavallari, C. Cipriani, V. Mattoli, F. Greco, “Ultraconformable Temporary Tattoo Electrodes for Electrophysiology”, Advanced Science (2018).
SELECTED TOPICS
Tattoo Technology – how a tattoo stays on the skin.
Wearable Technology – biomonitoring through commercially available platform.
COLLABORATIONS :
- EUROCOM
- Fondations Lenval
- Ecole des Mines de Saint-Étienne, Department of Bioelectronics (BEL)
- Institut Claude Pompidou (ICP)
FIND ME
