People at SEA Lab

Teaching Staff

Rodolfo Zunino
Paolo Gastaldo

Giuliano Donzellini

PostDoc

Edoardo Ragusa
Christian Gianoglio

PhD Students

Alessio Canepa
Tommaso Apicella
Cristian Cardile

Past Members

Andrea Bruzzone
Claudia Meda
Fabio Rossi
Federica Bisio
Stefano Caviglia
Stefano Nasta
Andrea Perelli
Sergio Decherchi
Luca Leomanni
Alessio Leoncini
Davide Leoncini
Judith Redi
Francesco Picasso
Giovanni Parodi
Chiara Peretti
Davide Piombo
Stefano Rovetta
Fabio Sangiacomo

 

Rodolfo Zunino obtained the “Laurea” degree cum laude in Electronic Engineering from Genoa University in 1985. From 1986 to 1995 he was a research consultant with the Department of Biophysical and Electronic Engineering (DIBE) of Genoa University. He is currently Associate Professor at DITEN, where he teaches Embedded Systems and Cybersecurity. His main scientific interests include efficient models for data representation and learning, intelligent electronic systems (VLSI and DSP-based) for neural networks, intelligent systems for security, and advanced methods for multimedia data processing.
Rodolfo Zunino coauthored more than 170 refereed papers in International Journals and Conferences. He participated in the Scientific Committees of several International Conferences on neural networks and their applications. He is currently contributing as Associate Editor to the IEEE Transactions on Neural Networks, and is a Senior Member of the IEEE (CIS – Computational Intelligence Society, and Circuits and Systems Society).
Email: rodolfo.zunino_at_unige.it

Paolo Gastaldo obtained the “Laurea” degree in Electronic Engineering and a PhD in Space Sciences and Engineering (2004), both from Genoa University, Italy. Since 2004 he is with the Department of Biophysical and Electronics Engineering of Genoa University, where he was the recipient of a research grant on Intelligent Systems for Visual Quality Estimation sponsored by Philips Research Labs - Eindhoven (NL) until 2008. From 2011 to 2019 he covered the position of Researcher at Genoa University. He is currently Associate Professor at DITEN, where he teaches Computer Architecture and Sensors for Electronic Systems.
His main research areas include embedded machine learning, computational intelligence, embedded systems for advanced signal interpretation in robotics and prosthesics, and cryptography.
ORCID ID
Scholar profile
Email:paolo.gastaldo_at_unige.it

Giuliano Donzellini graduated in Electronic Engineering from the University of Genoa in 1980. After an initial experience in the Civil Telecommunications Division of the Marconi Italiana (Genoa), he joined the DIBE (Department of Biophysical and Electronic Engineering, now DITEN, Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture) of the University of Genoa, Italy, as Assistant Professor. He worked on automated instrumentation systems for measurement, arbitrary waveform generators, image analysis systems, process control systems, architectures for digital phase-locked systems, object-oriented microcontroller architectures and topographic surveying techniques with VLF and ELF. Currently he is involved in hardware and software simulation of digital devices for teaching computer-assisted and distance learning, and has developed a specific software environment for learning digital electronics (the Deeds, "Digital Electronics Education and Design Suite"), which covers the areas of analysis and synthesis of combinational and sequential logic networks, finite state machine design, microcomputer programming, embedded systems, FPGA programming and design with the use of HDL languages. He has been involved in several EU projects dealing with issues in electronic design and e-Learning.
Email: donzie_at_unige.it

Edoardo Ragusa obtained the Master's degree cum laude in Electronic Engineering and a PhD in Electronic Engineering (2018), both from Genoa University, Italy. He is currently a postdoctoral researcher at DITEN, University of Genoa, where he teaches one part of the course Elettronica dei sistemi digitali. He coauthored more than 25 refereed papers in International Journals and Conferences and is a reviewer for several IEEE, Springer, and Elsevier journals and conferences. He is currently contributing as Topic Editor to MPDI Electronics. He was the invited speaker at workshop WISDOM'20 (Workshop on Issues of Sentiment Discovery and Opinion Mining) of the conference Knowledge Data Discovery (KDD) 2020 and workshop "Sentic Computing" during the conference IEEE World Congress on Computational Intelligence, 2020.
His research interests include machine learning in resource-constrained devices, convolutional neural networks, sentiment analysis, and deep learning applications.
Scholar profile
Email:edoardo.ragusa_at_edu.unige.it

Christian Gianoglio obtained the Master's degree cum laude in Electronic Engineering (2015) and a PhD in Electrical Engineering (2018). He is currently a postdoctoral researcher at DITEN, University of Genoa, where he teaches one part of the course "Elettronica dei Sistemi Digitali". He coauthored more than 25 refereed papers in International Journals and Conferences and is a reviewer for several IEEE, Springer, and Elsevier journals and conferences
His main research areas include: machine learning for resource-constrained devices, machine learning for tactile applications, and pattern recognition for quality assessment of insulation systems in electrical apparatuses.
Scholar profile
Email:christian.gianoglio_at_edu.unige.it

Alessio Canepa obtained the Master's degree in Electronic Engineering on 2015 from Turin University, Italy. He is pursuing a PhD in Electronic Engineering at the Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN) of the University of Genova.
His main research areas include: Machine Learning and Pattern Recognition for Embedded Devices.
Email:alessio.canepa_at_edu.unige.it

Tommaso Apicella obtained the Master's degree in Electronic Engineering in 2019 from Genoa University, Italy. He is pursuing a PhD in Interactive and Cognitive Environments at the Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN) of the University of Genoa.
His main research areas include: Machine Learning and Pattern Recognition for Embedded Devices.
Email:tommaso.apicella_at_edu.unige.it

Cristian Cardile obtained the Master's degree in Physics and a 2nd Level Master degree in Cybersecurity and Critical Infrastructure Protection from Genoa University, Italy. He is pursuing a PhD in Electronic Engineering at the Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN) of the University of Genova.
His main research areas include: Machine learning and artificial intelligence algorithms applied to Cybersecurity, Post-quantum cryptography
Email:cristian.cardile_at_edu.unige.it