Research Line #: 4

Supervisor: Mario Bonato (DPG)

Potential Co-Supervisor/s: Marco Zorzi (DPG)

Other potential Collaborators: Angelo Antonini (DNS), Roberta Biundo (DPG)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): The efficient processing of time and space is fundamental for most if not all our activities. The project aims at investigating the commonalities and differences in way we process these aspects, along with those contexts whereby time is spatially represented. Behavioural experiments using immersive reality as well as neuropsychological studies will be implemented. The final aim of the project is to provide a better understanding of the individual differences in way we access, process and represents these two quantities.

Research Line #: 5

Supervisor: Cristina Scarpazza (DPG)

Potential Co-Supervisor/s: Andrea Zangrossi (DPG)

Other potential Collaborators: Giorgio Arcara (IRCCS San Camillo), Rachele Pezzetta (IRCCS San Camillo)

Research Line #: 6

Supervisor: Cristina Scarpazza (DPG)

Other potential Collaborators: Roberta Biundo (DPG)

Research Line #: 7

Supervisor: Chiara Spironelli (DPG)

Potential Co-Supervisor/s: Dante Mantini (KU Leuven)

Other potential Collaborators: Marco Marino, Zaira Romeo

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Imaging methods are of utmost importance for neuroscience. Within the domain of cognitive neuroscience, a prominent role is played by functional magnetic resonance imaging (fMRI), which allows capturing the activity of the human brain in vivo with a good spatial resolution. Due to the key role of fMRI research, very recent and specialized literature started to address the important yet neglected role played by body position during imaging. Indeed, almost any fMRI acquisition requires participants to lie supine: this simple, and apparently irrelevant, technical prerequisite assumes that the execution of whichever task or cognitive processing is not affected by our body posture. Recent literature showed how during supine posture many physiological processes are significantly altered, including cortical activity, pain processing, emotional responses and brain plasticity. In general, in most of these cognitive domains supine participants showed significant reduced or delayed activation, compared with the more ecological sitting position.

Research Line #: 8

Supervisor: Chiara Spironelli (DPG)

Potential Co-Supervisor/s: Fabio Sambataro (DNS)

Other potential Collaborators: Marco Marino

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Auditory verbal hallucinations (AVH), the experience of hearing voices in the absence of external auditory stimuli are phenomena distributed along a continuum from individuals with functional psychosis to general population; notably, 25% of all the AVH hearers suffer from a psychotic disorder, while the 75% are persons definable as otherwise healthy, and correspond to the 10-15% of the adult general population. However, the pathophysiology underlying AVH is still largely unknown. In line with Crow’s hypothesis (1997), various studies showed structural and functional alterations in language-related regions of schizophrenia patients, as well as in mood disorders and high-risk populations for psychosis, providing evidence for a continuum of shared neural alterations in the psychotic spectrum disorders from healthy experiences through pathology. Therefore, changes in the cortical architecture of language could represent a transdiagnostic mechanism shared by different pathology and vulnerability conditions, as language lateralization is a crystallized characteristic of brain networking.

Research Line #: 9

Supervisor: Stefano Masiero (DNS)

Potential Co-Supervisor/s: Maria Rubega (DNS)

Other potential Collaborators: Paola Contessa (Padova University Hospital), Michela Agostini (DNS)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Due to higher life expectancy the age and population structure in Europe will change. Therefore, research furthering lifelong health, active ageing and well-being for all will be a cornerstone of the successful adaptation of societies to demographic change. This project goal is to identify the most effective strategy to enhance gait and balance in the elderly (people aged > 65 y). Gait and balance will be assessed through wearable sensors (i.e., wireless electromyography, inertial measurement units and electroencephalography) during static and dynamic tasks. This project involves a multidisciplinary team of physiatrists, physiotherapists, neuropsychologists and bioengineers (specialized in advanced biological signal processing and in biomechanics).

Research Line #: 10

Supervisor: Emanuela Formaggio (DNS)

Potential Co-Supervisor/s: Maria Rubega (DNS)

Other potential Collaborators: Paola Contessa (Padova University Hospital)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): The pathophysiology of Adolescent Idiopathic Scoliosis (AIS) is not yet completely understood, but multi-factorial hypotheses have been proposed including defective central nervous system control of posture, biomechanics alterations and alterations of body schema. AIS could be the expression of a sub-clinical nervous system disorder. The aim of our study was to compare the electroencephalography (EEG) activity in adolescents with AIS and controls, to examine the brain oscillatory changes related to balance control and inquire possibly related body schema representational alterations. Results may represent a valuable biomarker of AIS disease progression and offers novel therapeutic targets according to the identified pathophysiological patterns.

Research Line #: 11

Supervisor: Emanuela Formaggio (DNS)

Potential Co-Supervisor/s: Maria Rubega (DNS)

Other potential Collaborators: Maria Elena Cavicchiolo (SDB)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Comfort is a sense of physical and psychological ease. Newborns are not developmentally capable of expressing their “state of comfort” to adults or aware enough to problem solve.
Facial expressions and sounds could be important indicators of infant comfort/discomfort, but face recognition and sound classification in infants is still a complex challenge due to the miniaturized facial structure, different proportions, presence of wrinkles and limited furrows, and subtle variations in sounds produced during infant crying.
This project aims to objectively quantify the state of a child’s comfort non-invasively by: 1) developing algorithms capable of classifying the state of infants by overcoming specific challenges related to their facial structure and the complex interpretation of their cries, and 2) measuring and analyzing physiological and motion parameters.

Research Line #: 12

Supervisor: Aram Megighian (DSB)

Potential Co-Supervisor/s: Marco Dal Maschio (DSB)

Other potential Collaborators: Maria Elena Miletto Petrazzini (DPG)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Adaptive behavior is the set of coordinated actions generated by the nervous system in response to an environmental or internal stimulus. It is based on the choice of the most rewarding response based on organism actual and previous experience.
Visuomotor-responses are a subtype of adaptive behavior extremely important for the life of an organism in the environment
In our lab we study visuomotor-responses in the fruitfly (Drosophila melanogaster) using different techniques that can be used in this organism: quantitative behavior analyses, neurphysiological techniques and calcium imaging techniques, also exploiting the extremely flexible genetic techniques that can be used in this animal.
Given the importance of visuomotor responses in regulating the adaptive behavior of an organism, and given the importance of the latter in regulating the life of the animal in its environment, it is not surprising that these responses are present in animals evolutionarily distant from humans: in vertebrates as well as in invertebrates. The aim of our studies is therefore to understand whether it is the environment that has independently shaped the circuits responsible for the visuomotor responses in such different nervous systems, or whether they are the consequence of the activity of fundamental circuits that may have become redundant in more complex and different nervous systems, such as the nervous system of vertebrates, mammals and humans

Research Line #: 13

Supervisor: Simone Messerotti Benvenuti (DPG)

Potential Co-Supervisor/s: Antonino Vallesi (DNS)

Other potential Collaborators: Carola Dell’Acqua (DPG)

Research Line #: 14

Supervisor: Simone Messerotti Benvenuti (DPG)

Potential Co-Supervisor/s: Fabio Sambataro (DNS)

Other potential Collaborators: Carola Dell’Acqua (DPG)

Research Line #: 15

Supervisor: Fabio Sambataro (DNS)

Potential Co-Supervisor/s: Enrico Collantoni (DNS)

Research Line #: 16

Supervisor: Mario Bortolozzi (DFA)

Potential Co-Supervisor/s: Chiara Briani (DNS), Angelo Antonini (DNS)

Other potential Collaborators: Vladimir Khorkov (ETH, Zurich), Elena Pegoraro (DNS), Oriano Marin (DSB)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Since mutations in the GJB1 gene that encodes connexin 32 (Cx32) were first reported in 1993, more than 450 different mutations associated with the X-linked form of Charcot–Marie–Tooth peripheral neuropathy (CMT1X) have been discovered. A path from genetic diagnosis to personalized treatment is still unavailable, as the molecular pathogenesis remains unclear. A new paradigm for the molecular pathogenesis of CMT1X has recently been suggested to be no longer related to gap junctions formed by paired Cx32 channels, but rather to hemichannels, which could mediate an ATP-induced ATP release signaling regulating Schwann cell myelination. The objectives of this PhD project are providing evidence that Cx32 hemichannel dysfunction underlies CMT1X pathogenesis and to develop in vitro assays that can be utilized to test candidate therapeutic compounds. The group of Prof. Bortolozzi at the VIMM (Padova) has consolidated experience in the study of connexins by fluorescence optical microscopy and patch-clamp.

Research Line #: 17

Supervisor: Mario Bortolozzi (DFA)

Potential Co-Supervisor/s: Marco Dal Maschio (DSB), Angelo Antonini (DNS)

Other potential Collaborators: Jens Schwamborn (Univ. Luxembourg), Carlo Foresta (UNIPD), Sara Bogialli (DiSC)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): The increasing environmental spreading of perfluoroalkyl substances (PFASs) raises concerns for their impact on human health. In a previous publication, we highlighted for the first time that the accumulation of PFASs can alter the development of human dopaminergic neurons. This finding, together with the discovery of massive PFAS accumulation in the substantia nigra of the human brain, suggests a possible link with the onset of neurodevelopment defects and Parkinson’s disease in highly PFAS contaminated areas. Human induced pluripotent stem cells (iPSCs) will be utilized in this PhD project to derive 2-D and 3-D dopaminergic model systems (already in use in our lab). The investigation aims to identify significant dysfunction of PFAS-treated neurons by advanced electrophysiological and imaging experiments. The findings will be corroborated by morphological and protein expression marker analysis. The selected candidate will work at the VIMM Institute in Padova, where state-of-the-art biological and biophysical facilities are available.

Research Line #: 18

Supervisor: Marco Dal Maschio (DSB)

Potential Co-Supervisor/s: Aram Megighian (DSB), Maria Elena Miletto Petrazzini (DPG)

Other potential Collaborators: Nicola Facchinello

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Coping with a continously changing environment calls for learning or updating the organism action-percpetion schemes. These type of primitives are considered the basis for the optimal processing of the sensoty inputs and at the same time the support for informing the motor program selection and execution. We will use visuo-motor processessing in Zebrafish larvae to investigate these mechanisms combining functional imaging, behavior tracking and targeted neuronal modulation. The ojective is to characterize the neuronal circuits involved and their role with the visuomotor adaptation mechanism as well as their alterations in genetic models of neurodevelopmental disorders.

Research Line #: 19

Supervisor: Marco Dal Maschio (DSB)

Potential Co-Supervisor/s: Michele Allegra (DFA)

Other potential Collaborators: Fabrizio Lombardi (DSB)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): A crucial goal of neuroscience is to understand how the brain controls behavioral variability during the learning and execution of a task. In recent years, there has been a surge in interest for geometric approaches to this question. The idea underlying these approaches is trying to relate a “behavioral manifold” (a geometric representation of the ensemble of behavioral trajectories) with a “neural manifold” (a geometric representation of neural population trajectories). Typically, both the behavioral and the neural manifold are relatively low-dimensional. As a result, one may identify, in a data-driven manner, key variables underlying behavioral variability and how they are encoded and controlled by neural population activity. Such an approach is optimally suited to simple animal models and simple cognitive tasks, where one can accurately track both behavioral and neural trajectories with state-of-the-art techniques. A paradigmatic example is the zebrafish (D. Rerio) larva, where neural activity can be recorded with extremely fine spatial resolution (down to the cellular level) with purely optimal means such as calcium imaging, and motor behavior is sufficiently simple to be captured from video recordings. In this project, we will perform experiments where the zebrafish larva is learning a simple behavior, tracking behavior as well as neural activity during multiple trials and ad different stages of learning. Leveraging recent proposals in the computational neuroscience literature, we will model neural trajectories and behavioral trajectories simultaneously using recurrent neural networks. This project has the potential to significantly advance our understanding of the neural determinants of behavioral variability.

Research Line #: 20

Supervisor: Judit Gervain (DPSS)

Potential Co-Supervisor/s: Christian Lorenzi (ENS Paris, France)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): This line of research seeks to investigate how early auditory and speech perception abilities contribute to laying the foundations of later language development. Newborns and young infants’ perceptual abilities are investigated using behavioral and brain imaging techniques (NIRS, EEG), with special attention to the role of prenatal and early postnatal experience.

Research Line #: 21

Supervisor: Judit Gervain (DPSS)

Potential Co-Supervisor/s: Patrizia Trevisi (DNS)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): One in every 300-500 children are born with some form of hearing impairment. Today the available prosthetic support systems (hearing aid, cochlear implant) are technologically more advanced than any time before, yet outcomes in the improvement of hearing, language development and quality of life differ considerably among individuals. This line of research aims to explore the differences in perceptual abilities and brain plasticity that may contribute to this heterogeneity.

Research Line #: 22

Supervisor: Paolo Meneguzzo (DNS)

Potential Co-Supervisor/s: Elena Tenconi (DNS)

Other potential Collaborators: Angela Favaro (DNS)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): The study seeks to understand how gender identity and hormonal fluctuations may influence emotional regulation, cognitive functioning, and overall psychological well-being. By employing a mixed-methods approach, including self-report measures, neuropsychological assessments, and hormonal profiling, we aim to explore the intricate interplay between gender identity, hormone levels, and psychological outcomes. The findings of this study may inform the development of targeted interventions and support services tailored to the specific needs of transgender and gender-diverse individuals.

Research Line #: 23

Supervisor: Paolo Meneguzzo (DNS)

Potential Co-Supervisor/s: Elena Tenconi (DNS)

Other potential Collaborators: Angela Favaro (DNS)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): The study seeks to elucidate the physiological responses accompanying alterations in social and emotional states among individuals with eating disorders. By utilizing skin conductance as a non-invasive measure of autonomic arousal, we aim to discern patterns of physiological reactivity associated with diverse emotional and social stimuli. Through a combination of experimental paradigms, self-report assessments, and skin conductance measurements, this research intends to uncover the nuanced interplay between emotional regulation, social interactions, and autonomic nervous system activity in individuals with eating disorders. The findings of this study hold the potential to inform therapeutic interventions and enhance our understanding of the complex psychophysiological mechanisms underlying eating disorders

Research Line #: 24

Supervisor: Samir Suweis (DFA)

Potential Co-Supervisor/s: Michele Allegra (DFA), Luca Mazzucato

Other potential Collaborators: Marco Dal Maschio (DSB), Stefano Vassanelli (DSB), Manlio De Domenico (DFA), Alessandra Bertoldo (DEI), Maurizio Corbetta (DNS)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Both biological and artificial neural networks are tuned to solve complex information processing tasks. However, while the structure of artificial neural networks is mainly shaped by learning, biological neural networks must respect additional constraints, such as robustness to noise, low wiring cost, robustness to subsystem failure. Investigating the dynamics of recurrent neural network evolving on empirically determined spatially embedded connectivity networks can provide invaluable insights into how information is encoded, transmitted, and integrated within the brain’s complex circuitry, reflecting biologically relevant constraints. In this Ph.D. project we aim to pursue this research direction, studying the structural-functional relationship in spatially embedded recurrent neural networks, trained with statistical learning but with realistic constraints on the wire diagram and network architecture, given by the study of brain connectomes. Analytical results based on Dynamical Mean Field Theory will be also investigated. The ultimate goal is the ability to design artificial neural networks and tune their internal dynamical states and architecture for optimal performance of different tasks in biologically plausible conditions, e.g., in noisy environments. Our results will not only open new perspectives for understanding the ultimate principles underlying brain function, but also guide towards the development of brain-inspired, neuromorphic computation.

Research Line #: 25

Supervisor: Camillo Porcaro (DNS)

Potential Co-Supervisor/s: Antonino Vallesi (DNS)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): The global population is ageing rapidly. However, the quality of life is not the same as the quantity of life. Often, we focus on treating symptoms of the disease such as dementia or Parkinson’s. Instead, we believe a focus on sustaining health will improve outcomes for people who develop brain conditions. The project will combines brain imaging and maths. We will study data from people who have aged well and from people with poor brain health. We will develop models that reveal features of ageing well and will study how these features change in those with poor brain health. We will use our models to propose experiments that can be performed by others to understand whether brain health can be sustained for longer periods of time than is possible right now. Our work may benefit society by revealing techniques to slow down changes in the brain that occur as a result
of ageing. Sustaining healthy functions for longer will improve the quality of life and enable more people to be more productive. This is needed in societies where fewer children are born and people live longer.

Research Line #: 26

Supervisor: Camillo Porcaro (DNS)

Potential Co-Supervisor/s: Maurizio Corbetta (DNS)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Brain functions have traditionally been studied in terms of physiological responses evoked by external stimuli. This approach, however, does not consider that most of the brain’s energy is used for maintaining its intrinsic functioning i.e those brain activities that are not directly associated with the response to external stimuli. Here, we hypothesize that intrinsic brain activity (IBA) is used to maintain balance among the intrinsic brain networks. This balanced activity, measurable by nonlinear chaos theory such as fractal analysis, can be optimally tuned to react efficiently to specific tasks involving information processing for interpreting, responding to and predicting environmental demands. The ground-breaking nature of this proposal is to elucidate the contribution of the IBA to the brain’s balance, in healthy subjects with the aim to define a clear, physiological baseline for all transient changes due to alterations in perception or cognition, including those seen in pathology.

Research Line #: 27

Supervisor: Antonino Vallesi (DNS)

Potential Co-Supervisor/s: Arianna Menardi (DNS), Annachiara Cagnin (DNS)

Other potential Collaborators: Samir Suweis (DFA)

Research Line #: 28

Supervisor: Antonino Vallesi (DNS)

Potential Co-Supervisor/s: Simone Messerotti Benvenuti (DPG), Ettore Ambrosini (DNS)

Other potential Collaborators: Antonino Visalli (DPG)

Research Line #: 29

Supervisor: Marco Mainardi (DSB)

Potential Co-Supervisor/s: Marco Dal Maschio (DSB)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): The PhD candidate will work on the design and validation of adeno associated viral (AAV) vectors for the in vivo expression of proximity labeling probes in both wild type mouse and in models of neurodegenerative and neurodevlopmental disease. Mass spectrometry will be employed to characterize the microglial secretome and proteome, followed by wet biology analysis of selected candidate proteins. This project will contribute to clarify the molecular mechanisms of synaptic plasticity modulation by microglia.

Research Line #: 30

Supervisor: Carla Stecco (DNS)

Potential Co-Supervisor/s: Carmelo Pirri

Research Line #: 31

Supervisor: Carla Stecco (DNS)

Potential Co-Supervisor/s: Alessandra Del Felice (DNS)

Research Line #: 32

Supervisor: Roberta Biundo (DPG)

Potential Co-Supervisor/s: Antonino Vallesi (DNS)

Research Line #: 33

Supervisor: Maurizio Corbetta (DNS)

Potential Co-Supervisor/s: TBD

Other potential Collaborators: TBD

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Resting-state brain signaling could represent a replay mechanism of task-induced neural activity coding for natural stimuli and actions. The project will investigate the multi-voxel/vertex similarity between fMRI signals registered both during rest and tasks in healthy individuals. In particular, the aim is to assess whether spontaneous brain signals represent an “internal model” (or “priors”) related to behaviorally relevant states (e.g., movements, vision, cognition).

Research Line #: 34

Supervisor: Alessandra Del Felice (DNS)

Potential Co-Supervisor/s: Stefano Tortora (DEI)

Other potential Collaborators: Margherita Bertuccelli (DEI), Matteo Terreran (DEI), Alfonc Baba

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Motor recovery after stroke is still unsatisfactory. In fact, it relies mainly on qualitative measures (i.e., clinical scales), which provide only a partial prospective of the complex reorganization trajectories of motor performance during recovery. Quantitative assessment is mandatory and may inform rehabilitative pathways. The project aims to develop an innovative method to classify motor impairments by decomposing complex movements into functional modules (motor primitives). This will be possible by combining machine learning techniques with advanced Inertial Measurement Units (IMUs) and electromyographic (EMG) analysis. Eventually, this approach will be employed to phenotype post-stroke impairment, with critical clinical perspectives.

Research Line #: 35

Supervisor: Alessandra Bertoldo (DEI)

Potential Co-Supervisor/s: TBD

Other potential Collaborators: Valentin Ridle (TUM Germany), Rupert Lanzenberger (Medical University of Vienna, Austria), Maurizio Corbetta (DNS), Manu S. Goyal (University of St. Louis, USA), Sharna Jamadar (Monash University, Australia), Vesna Sossi (University of British Columbia, Canada), Mattia Veronese (DEI)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): In the past two decades connectomics has emerged as comprehensively approach to characterizing brain network in both healthy and pathological individuals. My research activities require to deal with an increasing complexity in the description of the brain network organization at macroscale: molecular connectivity (i.e. based on neurotransmission) and metabolic connectivity enrich and complete the functional and structural connectomes allowing a deeper characterization and understanding of the brain behaviour and cognition. Consequently, functional, structural, molecular, and metabolic descriptions form an individual-level “constellation” of networks interconnected through non-linear relationships. In particular, metabolic connectivity, an emerging concept in brain connectivity research, is proving to be as valuable as functional connectivity. While its significance is currently most evident in neurodegenerative disorders, research in other brain conditions and in healthy individuals is gaining momentum. The integration of various connectomes therefore plays a fundamental role to understand the behavior of the brain system overall.

Research Line #: 36

Supervisor: Alessandra Bertoldo (DEI)

Potential Co-Supervisor/s: Maurizio Corbetta (DNS), Alessandro Salvalaggio (DNS)

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): The emerging field of “cancer neuroscience” reveals intricate functional interplays between glioblastoma and the brain’s normal cellular architecture encompassing neurons, glia, and vessels. Recent investigations underscore the role of structural and functional brain connections within (the connectome). These connections contribute significantly to glioblastoma’s location, spread, recurrence, and overall survival, revealing a complex interplay at the whole-brain level between the cancer and the nervous system. This new paradigm holds profound implications, unveiling new prognostic factors, refining surgical strategies, and optimizing radiation field. The proposed research aims to identify new potential treatments for glioblastoma based on its interaction with brain connectivity.

Research Line #: 37

Supervisor: Marco Zorzi (DPG)

Potential Co-Supervisor/s: Samir Suweis

Other potential Collaborators: Alberto Testolin, Giovanni Pezzulo

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Energy-based generative models implemented as deep neural networks are a promising evenue to investigate the emergence of behavior and cognition within a biologically plausible framework. State-of-the-art multi-modal generative models will be used to explore whether learning higher-level cognitive skills (such as number processing and math) requires grounding into sensorimotor experience. Model data will be systematically compared with human neuroimaging and animal neurophysiological data.

Research Line #: 38

Supervisor: Marco Zorzi (DPG)

Potential Co-Supervisor/s: Alessandra Bertoldo

Other potential Collaborators: Alberto Testolin, Maurizio Corbetta, Alessandro Chiuso

Short Abstract, if available (especially for priority research grants/borse a tema vincolato): Our previous work (e.g., Salvalaggio et al., 2021, Brain) has shown that machine learning can reliably predict behavioral and cognitive performance from neuroimaging data in stroke patients. The project aims to i) scale these methods to exploit the potential of deep learning, ii) leverage on large-scale open datasets (e.g., human connectome project) for transfer learning, and iii) compare the predictivity of different types of neuroimaging data, including structural, functional and effective connectivity.

Research Line #: 39

Supervisor: Elisa Di Rosa

Potential Co-Supervisor/s: Annachiara Cagnin

Research Line #: 40

Supervisor: Elisa Di Rosa

Potential Co-Supervisor/s: Antonino Vallesi