I am an Assistant Professor in Biomedical Engineering, with a strong interest in the methodological and theoretical aspects of signal processing applied to the study of complex systems. My research is focused on developing and implementing new approaches for biomedical signal processing, with a specific emphasis on brain signals in both physiological and pathological conditions. In the BIT lab, my research activity is directed towards studying physiological networks in several different domains by employing tools derived from information theory. 

yuri.antonacci@unipa.it Download CV

I am a PhD student in Information and Communication Technologies (cycle XXXVII). My research activity is focused on the development of novel measures of clinical and general interest for the assessment of bivariate and/or complex high-order interactions among multiple signals originating from different body districts. The study of the collective behavior of these biomedical signals would provide a multi-modal description of the human body as an integrated network, where complex physiological systems dynamically interact and integrate their functions to generate a variety of physiologic states at the organism level. Practically, the main idea behind the framework consists in defining these measures in the information-theoretic domain, exploiting their well-known computation based on linear multivariate parametric models, and in their expansion in the frequency domain. This allows the investigation of the rich oscillatory content of individual physiological signals and the retrieval of amounts of information shared by the observed processes within specific frequency bands. 

laura.sparacino@unipa.it 

I am a PhD student in Information and Communication Technologies (cycle XXXVIII). The research activity I carry out within the BIT lab is aimed at the development and application of methods and algorithms for the study of pathophysiological states starting from physiological time series. My activity is mainly focused on physiological signal processing, the investigation of cardiovascular and brain-heart interactions, and the study of these processes using model-free approaches to estimate information theory measures.

chiara.bara@unipa.it Download CV

I am a PhD student in Information and Communication Technologies (cycle XXXVIII) deeply interested in the world of artificial intelligence. My research activity in the BIT lab is centred on the development and application of machine learning and deep learning algorithms to biological signals to explore both physiological and pathological states. I am primarily engaged in processing electrocardiographic and photoplethysmographic information, with an emphasis on heart rate variability analysis for the classification of various stress states. 

marta.iovino@unipa.it    Download CV

I am a PhD student in Information and Communication Technologies (cycle XXXVI) attending the International Doctoral Program Italian MIUR PON R&I 2014-2020 “Dottorati innovativi con caratterizzazione industriale” in partnership with Fondazione Ri.MED. My main fields of scientific activity include the design and implementation of electronic systems along with the development of network analysis techniques from different body districts. 

simone.valenti@unipa.it    Download CV

I am a Ph.D. student in Information and Communication Technologies (cycle XXXVI). My research interests encompass electronics for wearable solutions, biosignals data processing, and time series analysis, focusing on developing innovative technologies for non-invasive biosignals acquisition and novel algorithms for assessing human health status.

gabriele.volpes@unipa.it    Download CV

I am a biomedical research fellow with a strong interest in studying the physiological interactions of the complex human network. My research activity in the BIT lab is focused on the development and implementation of computationally efficient time series analysis techniques for the assessment of cardiovascular and cerebrovascular interactions. The aim is to provide novel and useful risk prediction indices which underlie pathological conditions and apply these methods in clinical and medical setting. 

roberta.saputo@unipa.it    Download CV

I am a research fellow on processing of biomedical signals and time-series analysis strongly interested in the complexity of human body. My research activity in the BIT lab is focused on pre-processing of biosignals and on the development and testing of measures, based on information theory, for assessing pathophysiological mechanisms underlying interactions among systems. In particular, I am primarly involved in investigating and characterizing brain-heart interactions by using different tools. 

valeriarosalia.vergara@unipa.it    Download CV

scastelbuono@ismett.edu    Download CV

PhD Student, Department of Mathematics, Faculty of Sciences, University of Porto, Portugal  

helder.pinto@fc.up.pt   

Researcher, Faculty of Technical Sciences, University of Novi Sad, Serbia

gorana86@uns.ac.rs   

PhD Student, School of Mathematics and Statistics of the Beijing Jiaotong University, China

danleigu889@gmail.com   

PhD Student (visiting 2024), School of Mathematics and Statistics of the Beijing Jiaotong University, China

danleigu889@gmail.com   

PhD Student (visiting 2023), Faculty of Technical Sciences, University of Novi Sad, Serbia

ivan.lazic@uns.ac.rs   

PhD Student (visiting 2022), Politecnico di Torino, Italy

giovanni.chiarion@polito.it   

PhD Student (visiting 2019), Kyiv Polytechnic Institute, Ukraine

ivanellokot@gmail.com   

PhD Student (visiting 2018), Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Slovakia

jana.krohova@uniba.sk