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Lucia Schiatti

Post Doc
Postdoctoral researcher

Research Line

Unit for Visually Impaired People


IIT Central Research Labs Genova


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Lucia Schiatti (M.Sc. 2013, Ph.D. 2018) graduated in Mechatronic Engineering at the University of Trento in 2013, where she continued working as a research fellow in the group of Dr. Giandomenico Nollo and Dr. Luca Faes, within the Biotech Research Center, until October 2014. During this period she gained experience on time series analysis of physiological data, including brain (EEG) signals. In 2014 she completed a period of traineeship in Belgium, under the supervision of Prof. Daniele Marinazzo at the Department of Data Analysis of the University of Ghent, where she worked on the implementation of techniques for the measure of connectivity between brain areas. She received her Ph.D. degree in Bioengineering and Robotics from the University of Genova and the Istituto Italiano di Tecnologia (February 2018), where she worked starting from November 2014 under the supervision of Dr. Leonardo De Mattos, at the Biomedical Robotics Lab, within the Department of Advanced Robotics (ADVR). During this period she collaborated at the TEEP-SLA project to develop Brain-Computer interface (BCI) systems for motor impaired people, focusing on the topics of biosignal processing, adaptive algorithms development, design of an EEG low-cost acquisition system, and implentation of assistive multimodal interfaces, integrating in particular the gaze signal with non-invasive measures of brain activity related to motor imagery/intent and error awareness. In December 2018 she joined the Unit for Visually Impaired People (U-VIP), led by Dr. Monica Gori, where she is currently working on the topic of multisensory development in visually impaired children.


Signal Processing Machine Learning Assistive Technolgies Brain-Computer Interfaces Visual Disability Multisensory Integration


TEEP-SLA (December 2015-November 2018) - Empathic and Expressive Technologies for People with Amyotrophic Lateral Sclerosis (ALS)

Selected Publications

Journal Papers
  • Schiatti, L., Nollo, G., Rossato, G., & Faes, L. (2015). Extended Granger causality: a new tool to identify the structure of physiological networks. Physiological measurement, 36(4), 827. pdf2015_Schiatti_et_al_PhysiolMeas.pdf

Conference Papers

  • Schiatti, L., Tessadori, J., Deshpande, N., Barresi, G., King, L. C., & Mattos, L. S. (2018, May). Human in the Loop of Robot Learning: EEG-Based Reward Signal for Target Identification and Reaching Task. In 2018 IEEE International Conference on Robotics and Automation (ICRA) (pp. 4473-4480). IEEE.pdf2018SchiattiICRA_pre-printed-compressed.pdf
  • Schiatti, L., Tessadori, J., Barresi, G., Mattos, L. S., & Ajoudani, A. (2017, July). Soft brain-machine interfaces for assistive robotics: A novel control approach. In Rehabilitation Robotics (ICORR), 2017 International Conference on (pp. 863-869). IEEE.pdf2017SchiattiICORR_pre-printed.pdf
  • Tessadori, J., Schiatti, L., Barresi, G., & Mattos, L. S. (2017, October). Does tactile feedback enhance single-trial detection of error-related eeg potentials?. In Systems, Man, and Cybernetics (SMC), 2017 IEEE International Conference on (pp. 1417-1422). IEEE. pdf2017TessadoriSMC_pre-printed.pdf
  • Barresi, G., Tessadori, J., Schiatti, L., Mazzanti, D., Caldwell, D. G., & Mattos, L. S. (2016, September). Focus-sensitive dwell time in EyeBCI: Pilot study. In Computer Science and Electronic Engineering (CEEC), 2016 8th (pp. 54-59). IEEE. pdf2016BarresiCEEC_pre-printed.pdf
  • Schiatti, L., Faes, L., Tessadori, J., Barresi, G., & Mattos, L. (2016, August). Mutual information-based feature selection for low-cost BCIs based on motor imagery. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2772-2775). IEEE. pdf2016SchiattiEMBC_pre-printed.pdf
  • Schiatti, L., Nollo, G., Rossato, G., & Faes, L. (2014, May). Investigating cardiovascular and cerebrovascular variability in postural syncope by means of extended Granger causality. In Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on (pp. 43-44). IEEE. pdf2014SchiattiESGCO_pre-printed.pdf


2000px YouTube social white circle 2017.svg Soft Brain-Machine Interfaces for Assistive Robotics: A Novel Control Approach

2000px YouTube social white circle 2017.svg Human in the Loop of Robot Learning: EEG-Based Reward Signal for Target Identification and Reaching Task



  • Winner of a scholarship assigned during the 6th SPeRA Congress (13/10/2014, Genova, Italy) from the University of Genova within the "International Cooperation and Development" course, presenting a project for the development of a low-cost hand prothesis myoelectric control system, in collaboration with the Onlus Time for Peace-Genova. 2000px YouTube social white circle 2017.svg


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I numeri di IIT

L’Istituto Italiano di Tecnologia (IIT) è una fondazione di diritto privato - cfr. determinazione Corte dei Conti 23/2015 “IIT è una fondazione da inquadrare fra gli organismi di diritto pubblico con la scelta di un modello di organizzazione di diritto privato per rispondere all’esigenza di assicurare procedure più snelle nella selezione non solo nell’ambito nazionale dei collaboratori, scienziati e ricercatori ”.

IIT è sotto la vigilanza del Ministero dell'Istruzione, dell'Università e della Ricerca e del Ministero dell'Economia e delle Finanze ed è stato istituito con la Legge 326/2003. La Fondazione ha l'obiettivo di promuovere l'eccellenza nella ricerca di base e in quella applicata e di favorire lo sviluppo del sistema economico nazionale. La costruzione dei laboratori iniziata nel 2006 si è conclusa nel 2009.

Lo staff complessivo di IIT conta circa 1440 persone. L’area scientifica è rappresentata da circa l’85% del personale. Il 45% dei ricercatori proviene dall’estero: di questi, il 29% è costituito da stranieri provenienti da oltre 50 Paesi e il 16% da italiani rientrati. Oggi il personale scientifico è composto da circa 60 principal investigators, circa 110 ricercatori e tecnologi di staff, circa 350 post doc, circa 500 studenti di dottorato e borsisti, circa 130 tecnici. Oltre 330 posti su 1400 creati su fondi esterni. Età media 34 anni. 41% donne / 59 % uomini.

Nel 2015 IIT ha ricevuto finanziamenti pubblici per circa 96 milioni di euro (80% del budget), conseguendo fondi esterni per 22 milioni di euro (20% budget) provenienti da 18 progetti europei17 finanziamenti da istituzioni nazionali e internazionali, circa 60 progetti industriali

La produzione di IIT ad oggi vanta circa 6990 pubblicazioni, oltre 130 finanziamenti Europei e 11 ERC, più di 350 domande di brevetto attive, oltre 12 start up costituite e altrettante in fase di lancio. Dal 2009 l’attività scientifica è stata ulteriormente rafforzata con la creazione di dieci centri di ricerca nel territorio nazionale (a Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) e internazionale (MIT ed Harvard negli USA) che, unitamente al Laboratorio Centrale di Genova, sviluppano i programmi di ricerca del piano scientifico 2015-2017.

IIT: the numbers

Istituto Italiano di Tecnologia (IIT) is a public research institute that adopts the organizational model of a private law foundation. IIT is overseen by Ministero dell'Istruzione, dell'Università e della Ricerca and Ministero dell'Economia e delle Finanze (the Italian Ministries of Education, Economy and Finance).  The Institute was set up according to Italian law 326/2003 with the objective of promoting excellence in basic and applied research andfostering Italy’s economic development. Construction of the Laboratories started in 2006 and finished in 2009.

IIT has an overall staff of about 1,440 people. The scientific staff covers about 85% of the total. Out of 45% of researchers coming from abroad 29% are foreigners coming from more than 50 countries and 16% are returned Italians. The scientific staff currently consists of approximately 60 Principal Investigators110 researchers and technologists350 post-docs and 500 PhD students and grant holders and 130 technicians. External funding has allowed the creation of more than 330 positions . The average age is 34 and the gender balance proportion  is 41% female against 59% male.

In 2015 IIT received 96 million euros in public funding (accounting for 80% of its budget) and obtained 22 million euros in external funding (accounting for 20% of its budget). External funding comes from 18 European Projects, other 17 national and international competitive projects and approximately 60 industrial projects.

So far IIT accounts for: about 6990 publications, more than 130 European grants and 11 ERC grants, more than 350 patents or patent applications12 up start-ups and as many  which are about to be launched. The Institute’s scientific activity has been further strengthened since 2009 with the establishment of 11 research nodes throughout Italy (Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) and abroad (MIT and Harvard University, USA), which, along with the Genoa-based Central Lab, implement the research programs included in the 2015-2017 Strategic Plan.