1021985 - Modelli di Sistemi Biologici (a.a. 2021/22)
Per informazioni aggiornate fare riferimento alla pagina web del corso: https://sites.google.com/a/uniroma1.it/mdsb/home
1044422 - Neuroscienze Industriali (a.a. 2021/22)
Per informazioni aggiornate fare riferimento alla pagina web del corso: https://sites.google.com/uniroma1.it/neuroscienzeindustriali/home
10592834 - Neuroengineering (a.y. 2020/21)
Instructions and links to join the online classes are available in the Piazza Class of the course. Check also the updated course website: https://sites.google.com/uniroma1.it/neuroengineering
Da concordare inviando messaggio email alla docente.
Laura Astolfi received her Master Degree in Electronic Engineering from University of Rome Sapienza and her PhD in Biomedical Engineering from University of Bologna Alma Mater Studiorum. Currently, she is an Associate Professor at the Department of Computer, Control, and Management Engineering at Sapienza University of Rome and a Researcher at Fondazione Santa Lucia Hospital, Rome, Italy.
She is Associate Editor of Medical & Biological Engineering & Computing and Brain Topography.
She is Fellow of the European Alliance for Medical and Biological Engineering Sciences (EAMBES) and Member of the Scientific Board of the International Society for Brain Electromagenetic Topography (ISBET).
She is Head of the Bioengineering and Bioinformatics Laboratory at DIAG and Junior Fellow of the Sapienza School for Advanced Studies (SSAS).
She participated and/or was PI in several national (Ministry of Health, Ministry of University, Private Foundations) European (7th FPs, Horizon2020) and US (NSF and NIH) funded research projects. She has been National Representative to 2 EU COST Actions.
She received several national and international awards for her scientific activity, among which the Best Under-40 Researcher Award at Sapienza University in 2010, the Trainee Travel Award by the Human Brain Mapping Society in 2011, the Young Investigator Competition by the ISBET Society in 2009, the Best PhD Thesis Award by the Italian Society for Biomedical Engineering in 2008, the Young Investigator Award by the Brain Connectivity Society in 2006, the Young Investigator Award by the International Society for Functional Source Imaging in 2005.
She authored 170 papers, with 4806 citations and a total Impact Factor of 241.247 and her H-index is 46.
She is listed among the Top Italian Scientists in Engineering (http://www.topitalianscientists.org/TIS_HTML/Top_Italian_Scientists_Engi...)
Her research activity include brain connectivity, high resolution EEG source reconstruction, EEG applications to neurorehabilitation, simultaneous recordings from multiple subjects (hyperscanning), consciousness, cognition and social Neuroscience.
|Insegnamento||Codice||Anno||Corso - Frequentare|
|NEUROENGINEERING||10592834||2021/2022||Artificial Intelligence and Robotics - Intelligenza Artificiale e Robotica|
|NEUROENGINEERING||10592834||2021/2022||Control Engineering - Ingegneria Automatica|
|NEUROSCIENZE INDUSTRIALI||1044422||2021/2022||Ingegneria Biomedica|
|Modelli di sistemi biologici||1021985||2021/2022||Ingegneria Biomedica|
|NEUROENGINEERING||10592834||2020/2021||Artificial Intelligence and Robotics - Intelligenza Artificiale e Robotica|
|NEUROSCIENZE INDUSTRIALI||1044422||2020/2021||Ingegneria Biomedica|
|NEUROENGINEERING||10592834||2020/2021||Control Engineering - Ingegneria Automatica|
|Modelli di sistemi biologici||1021985||2020/2021||Ingegneria Biomedica|
|NEUROENGINEERING||10592834||2019/2020||Artificial Intelligence and Robotics|
|NEUROSCIENZE INDUSTRIALI||1044422||2019/2020||Ingegneria Biomedica|
|Modelli di sistemi biologici||1021985||2019/2020||Ingegneria Biomedica|
|Modelli di sistemi biologici||1021985||2018/2019||Ingegneria Biomedica|
|NEUROSCIENZE INDUSTRIALI||1044422||2018/2019||Ingegneria Biomedica|
|MODELLI DI SISTEMI BIOLOGICI||1021985||2018/2019||Scienze statistiche|
|NEUROSCIENZE INDUSTRIALI||1044422||2017/2018||Ingegneria Biomedica|
|Modelli di sistemi biologici||1021985||2017/2018||Ingegneria Biomedica|
|NEUROSCIENZE INDUSTRIALI||1044422||2016/2017||Ingegneria Biomedica|
|Modelli di sistemi biologici||1021985||2016/2017||Ingegneria Biomedica|
|Testing different methodologies for Granger causality estimation: A simulation study||2021|
|A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks||FRONTIERS IN SYSTEMS NEUROSCIENCE||2021|
|Seed-g: Simulated eeg data generator for testing connectivity algorithms||SENSORS||2021|
|Raising the bar: Can dual scanning improve our understanding of joint action?||NEUROIMAGE||2020|
|The modular organization of brain cortical connectivity across the human lifespan||NEUROIMAGE||2020|
|Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological Networks||ENTROPY||2020|
|Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*||2020|
|Model-based transfer entropy analysis of brain-body interactions with penalized regression techniques||2020|
|Patient-Clinician Brain Response during Clinical Encounter and Pain Treatment||2020|
|Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography||NATURE BIOMEDICAL ENGINEERING||2020|
|Network Inference and Reconstruction in Bioinformatics||2019|
|The estimation of Granger causality on single EEG trials by means of penalized regressions||2019|
|Estimation of brain connectivity through Artificial Neural Networks||2019|
|Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator||2019|
|Modular Structure of Anatomical Brain Networks across the Human Lifespan||2019|
|The Optimal Setting for Multilayer Modularity Optimization in Multilayer Brain Networks||2019|
|Reduction of Latency Jitter in ERP through Visibility Graphs and Community Detection||2019|
|Language-Related Brain Potentials in Patients With Disorders of Consciousness: A Follow-up Study to Detect “Covert” Language Disorders||NEUROREHABILITATION AND NEURAL REPAIR||2019|
|Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources||BRAIN TOPOGRAPHY||2019|
|Electrophysiological Brain Connectivity: Theory and Implementation||IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING||2019|