Address book
Contacts
ALBERTO TESTOLIN
Position
Professore Associato
Address
VIA VENEZIA, 8 - PADOVA
Telephone
0498276637
2025 - ongoing: Associate Professor, Department of General Psychology, University of Padova.
2019 - 2025: Assistant Professor, Department of General Psychology and Department of Mathematics, University of Padova.
2017 - 2020: Research Scientist, Wireless&More S.r.l., Department of Information Engineering, University of Padova.
2019: Visiting Scholar, Stanford University (USA).
2015 - 2019: Post-doc Researcher, Department of General Psychology, University of Padova.
2015: Ph.D. in Cognitive Sciences, Department of Developmental and Social Psychology, University of Padova.
2014: Visiting Student Researcher, Stanford University (USA).
2011: M.Sc. in Computer Science (curriculum: Artificial Intelligence), Department of Mathematics, University of Padova.
2010: Visiting Student, Leiden Institute of Advanced Computer Science (NL).
Notices
Office hours
Wednesday from 10:00 to 12:00
at Sesto piano, edificio Psico 1
E' opportuno contattare il docente tramite email con congruo anticipo per fissare un appuntamento. Il ricevimento viene svolto preferibilmente via Zoom.
Teachings
- INTRODUCTORY COMPUTER SCIENCE, AA 2025 (PSP3049230)
- MACHINE LEARNING FOR BRAIN AND COGNITION, AA 2025 (PSQ1096518)
- MACHINE LEARNING FOR BRAIN AND COGNITION, AA 2025 (PSQ1096518)
- MACHINE LEARNING FOR BRAIN AND COGNITION, AA 2024 (PSQ1096518)
- MACHINE LEARNING FOR BRAIN AND COGNITION, AA 2023 (PSQ1096518)
- MACHINE LEARNING FOR BRAIN AND COGNITION, AA 2023 (PSQ1096518)
Research Area
Artificial Intelligence and Machine Learning.
Computational modeling with artificial neural networks.
Mathematical learning, numerical cognition.
Simulation of perceptual and cognitive processes, learning, memory, language, attention.
Network theory, graph analysis.
Machine Learning for data analysis, signal processing and optimization.
Use of Artificial Intelligence for environmental monitoring.
Thesis proposals
Topics for MASTER theses:
- computational modeling with artificial neural networks
- neuro-symbolic Artificial Ingelligence
- engineering applications of AI techniques
NB: Advanced Python and/or MATLAB skills are required.
BACHELOR students can ask for bibliographical theses on topics related to computational modeling, machine learning, artificial intelligence.
