Data Analysis and Methods development (24)

Alessandra Bertoldo

Alessandra Bertoldo is Full Professor of Bioengineering at the Department of Information Engineering of the University of Padova. 

Her research interests are mainly related to the development of mathematical models for analysis and control of biological systems and to the quantification of functional positron emission tomography and magnetic resonance images. Current personal and collaborative research activities include: Mathematical models for quantitative PET studies, Methods for magnetic resonance functional imaging, Imaging genetics, Non-linear mixed effects modeling, Quantitative multimodal imaging.

During her career, she has contributed to several national as well as international research projects. She teaches Imaging for Neuroscience for the Bioengineering Master’s Degree Program at the University of Padova.

Alessandra Del Felice

Alessandra Del Felice is an academic clinician in the area of Neurorehabilitation. Her basic training has been as a neurologist, with a special interest in neurophysiology and neurorehabilitation, and holds a Ph.D. in Neuroscience. She has attracted funding at UNIPD, with an on-going H2020 project and several international and national grants.

Her current research area allows her to draw on her experience and skills in neurophysiology and extensive collaboration with national and international medical engineering Departments to improve methodology and outcome measures in this important area of rehabilitation. She has a track record in EEG signal analysis EEG-TMS co-registration, and neurostimulation.

Claudio Gentili

Current position

Full Professor of Clinical Psychology at the Department of General Psychology, University of Padova.

2002 – Medical Doctor – University of Pisa

2007 Ph.D. Molecular, Metabolic, Functional exploration of Nervouse System and Sensorial Organs (University of Pisa)

2009 Master Degree in Psychology (University of Pavia)

2010 Assistant Professor in Clinical Psychology (University of Pisa)

2012 Boarded Psychotherapist

Main research interests:

  • Neurobiology of mental disorders: a particular interest has been devoted to resting state correlates of psychological traits related to psychopathology such as impulsivity and neuroticism and to phobic conditions such as social anxiety disorder.
  • Electrophysiological correlates of mood and anxiety: in this framework ECG recording acquired both through traditional equipment and through wearable device were used to evaluate and predict mood and mood changes in patients with affective disorders.

Diego Cecchin

Present position:

  • Associate Professor of Nuclear Medicine (MED/36), University-Hospital of Padova, School of Medicine.
  • Chief of the postgraduate School of nuclear medicine, University of Padova.

Major Research interests:

  • PET/MR applications in amyloid semi-quantification and quantification
  • PET/MR applications in brain tumors
  • PET/MR applications in multiple sclerosis
  • PET/MR applications in neurodegenerative diseases
  • PET/MR applications in movement disorders
  • PET/MR applications in sarcoma of the adult (body)
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Emanuele Menegatti

Emanuele Menegatti is Full Professor of the School of Engineering at Dept. of Information Engineering of University of Padova since 2017.

After his graduation in Physics in 1998, he received his MsC in AI & Robotics from the University of Edinburgh (UK) in 2000. Menegatti received his Ph.D. in Computer Science in 2003 from Univ. of Padua. In 2005 he became Assistant Professor and Associate Professor in 2010.

Menegatti’s main research interests are in the field of Robot Perception. In particular, he is working on neurorobotics, RGB-D people tracking for camera network, and service robotics.

Menegatti is Associated Editor of the journals: “Robotics and Autonomous Systems” (Elsevier), “IPSJ Transactions on Computer Vision and Applications” (Springer), “Frontiers in Neurorobotics” (Frontiers), “International Journal of Advanced Robotic Systems” (Sage).

Ettore Ambrosini

Ettore Ambrosini graduated in Psychology in 2009 at the University “G. d’Annunzio” of Chieti and earned a PhD in Neuroimaging in 2013 at the same University. After a post-doctoral position at the University of Chieti (2013), he was a post-doctoral fellow at the Department of Neuroscience, University of Padova, where (from 2017) he currently holds the position of Associate Professor.

His research interests include the understanding of the organization and the neural underpinnings of executive functions, the perception of objects and their semantic representation, and the perception and anticipation of others’ goal-directed actions. To study these topics, he uses different techniques such as psychophysics, eye tracking, brain stimulation (TMS), and neurophysiology (EEG).

Francesco Marchetti

I am a fixed-term researcher (RTDa) since January 2022 at the Department of Mathematics “Tullio Levi-Civita” of the University of Padova. I got my master degree in Mathematics and my PhD in Health Planning Sciences at the University of Padova in 2016 and 2021, respectively.

In my master thesis and during my PhD, I worked in the field of Magnetic Particle Imaging (MPI), which is a novel tracer-based medical imaging technique, studying effective approximation schemes suitable for reconstructing signals along Lissajous curves, which are typical sampling trajectories in a MPI scanner. Moreover, I studied and applied kernel-based machine learning techniques in the context of rare diseases diagnosis and in the classification of patient-derived xenografts.

Francesco Rinaldi

Francesco Rinaldi is currently a Professor with the Department of Mathematics “Tullio Levi-Civita”, University of Padova, and the coordinator of the Data Science Master’s Programme at the University of Padova.

He received the M.S. degree in computer engineering and the Ph.D. degree in operations research from the Sapienza University of Rome, in 2005 and 2009, respectively.

He served as organizing/program committee member and as session/minisymposium organizer at many international conferences. He was also invited speaker at more than 40 international conferences and university seminars.

He received a number of research grants for his research (e.g., ARISLA 2021 grant).

He published over 50 papers in toptier academic journals including SIAM Journal on Optimization, Mathematical Programming Computation, Mathematics of Operations Research, Bioinformatics, IEEE Transactions, Molecular Neurodegeneration.

Giovanni Sparacino

Giovanni Sparacino received the MSc (summa cum laude) in Electronics Engineering from the University of Padova in 1992 and the PhD in Bioengineering from the Polytechnic of Milan in 1996.

From 1997 to 1998 he was Research Engineer at the Department of Audiology and Phoniatrics of the University of Padova. Then, he joined the Department of Information Engineering as Assistant Professor of Bioengineering. Since 2005 he is Associate Professor at the same department, where he is presently in charge of teaching “Medical Informatics” and “Biological Data Analysis”. At present, he is Full Professor at the University of Padua.

Since 2004 he is member of the Board of Professors of the “PhD School in Information Engineering”.

Jeff Kiesner

Jeff Kiesner is an Associate Professor in the Department of Developmental and Social Psychology at the University of Padova. He has a broad background in both research and teaching, including courses taught in statistics, developmental psychology, social psychology, clinical psychology, and neuroscience; and research publications across areas of developmental psychology, social psychology, clinical psychology and psychoneuroendocrinology.

He has conducted pioneering research on individual differences in symptom experience associated with the menstrual cycle, with the goal of better understanding what characterizes Premenstrual Dysphoric Disorder (PMDD). This work has focused on demonstrating the importance of studying each woman’s individual profile and trajectory of physical and psychological changes across the menstrual cycle.