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Università degli Studi di Padova

PNC

Padova Neuroscience Center

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Home People Artificial Intelligence

Artificial Intelligence (7)

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).

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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.

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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”.

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Luca Tonin

Luca Tonin received the Ph.D. degree in robotics from the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, in 2013. He then pursued three years of postdoctoral research at the Intelligent Autonomous System laboratory, the University of Padova, Italy. Since 2016, he has been senior postdoctoral researcher at EPFL. He is currently Assistant Professor at the Department of Information Engineering of the University of Padova. 

His research is strongly characterized by a commitment to the brain-machine interface (BMI) field and the intertwined neuroscientific and engineering aspects. He dedicated the past decade to explore new solutions for advanced interactions between user, BMI and external devices.

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Manfredo Atzori

Manfredo Atzori received a M.Sc. in Physics and a Ph.D. in Bioengineering in 2006 and 2009 at the University of Padova.
He is Assistant Professor at the Department of Neuroscience of the University of Padova. He has been research scientist at the Institute of Information Systems of the University of Applied Sciences Western Switzerland (HES-SO Valais) since 2011.
His research interests are related to the development of machine learning techniques targeting multimodal data analysis, particularly in the biomedical domain.
Since 2019 he is the Scientific Coordinator of the Horizon 2020 project ExaMode, involving seven international partners and targeting weakly-supervised knowledge discovery from multimodal medical data, such as text and images, in the context of digital pathology (htttp://www.examode.eu/).

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Marco Zorzi

Marco Zorzi is Full Professor of Artificial Intelligence and Cognitive Psychology at the University of Padova, and Senior Researcher at IRCCS San Camillo Neurorehabilitation Hospital in Venice-Lido.

Trained in cognitive psychology, computational modelling, computational and cognitive neuroscience during doctoral and postdoctoral studies in Trieste (University of Trieste and SISSA), London (UCL) and Padova, he joined San Raffaele University-Milan in 2000 as assistant professor and the University of Padova in 2001 as associate professor (full professor since 2006).

In 2001 he set up the Computational Cognitive Neuroscience Lab, an interdisciplinary research laboratory at the frontiers between cognitive science, computer science and neuroscience, focused on the computational bases of human cognition. 

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Stefano Vassanelli

Present position

Associate professor of Physiology
Lecturer at the Medical, Bioengineering, Pharmacological Sciences and Galilean schools.

Biosketch

Stefano Vassanelli graduated cum Laude in Medicine at the University of Padova and his doctoral thesis was awarded with the “Casati” price from the “Accademia Nationale dei Lincei”.

After completing a PhD in molecular biology and pathology he undertook postdoctoral research first at the Oregon Graduate Institute of Science and Technology, Dpt. of Biochemistry, (Portland. Oregon, USA), and then at the Max-Planck Institute for Biochemistry, Dpt. Membrane and Neurophysics (Martinsried, Germany) working on brain-chip interfaces for high-resolution recording of neuronal networks.

Since 2001 he is leading the Neurochip laboratory at the University of Padova with main focus on development of high-density neural interfaces and their use for investigation of information processing mechanisms in brain microcircuits.

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  • About Us
    • Vision
    • Board
    • Supporting Departments
    • Support Personnel
    • Location
    • Contact us
    • Minutes of the PNC Board
  • Research
    • People
      • By Research Topic
      • By Dept. / Structure
      • External Affiliates
    • Research Areas
    • Facilities
      • High Density EEG
      • Portable Eye Trackers
      • Pre-Clinical Core Facilities
    • Publications
  • PhD in Neuroscience
    • Governance
    • Admission 38th cycle
    • Individual Training Plan
    • Research Lines
    • Faculty (38th Cycle, 2022-2025)
    • International and external faculty
    • Teaching Activities
    • PhD Students
    • Guidelines and Forms
  • News & Events
    • Events
    • News and Press release
  • Working @ PNC
    • Available Positions
    • Invitations to tenants
    • Past Available Positions

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