Team Leader - Full Professor

Andrea Prati graduated in Computer Engineering from the University of Modena and Reggio Emilia in 1998.
He got his PhD in 2002 from the same university.
He served as Assistant Professor from 2005 to 2011, and Associate Professor at the UniversityIUAV of Venice since 2015.
In December 2015 he moved to the University of Parma and got promoted to full professorship in 2019.
He is the head of IMPLab research group and his research interests are related to computer vision and image processing, deep learning and generative models.
He is the author of 9 book chapters, 40+ papers in international referred journals and 100+ papers in proceedings of international conferences and workshops.
To date, his h-index on Google Scholar is 41, with a total of 8773 citations.
On Scopus, his h-index is 27, with a total of 4580 citations.
Andrea Prati is Senior Member of IEEE, Fellow of IAPR, and a member of CVPL.

Associate Professor

Massimo Bertozzi was born in Parma in 1966.
In 1994 he received the Dr.Eng. degree in Electronic Engineering from the University of Parma discussing a Master Thesis about the implementation of Simulation of Petri Nets on the CM-2 Massive Parallel Architecture.
From November 1994 to October 1997 he was a PhD student in information technology at the Dipartimento di Ingegneria dell'Informazione of the Università di Parma where he chaired the local IEEE student branch.
Since November 1997 he has held a permanent position and he is now associate professor at the Department of Engineering and architecture.
His research interests mainly focus on the application of image processing to real-time systems and specifically to autonomous driving, on the optimization of machine code at assembly level, and on parallel and distributed computing, use of CNN for autonomous driving and industrial inspection.
From 2015 until 2020 he worked at VisLab on the development of SW and System Integration for the Ambarella CVflow® chip architecture.
Since 2020 he is also focusing his research interests to CNN in cooperation within the IMP Lab research group.

Former Assistant Professor (RTD/A)

Claudio Ferrari is currently assistant professor (RTD/A) at the University of Parma.
He received the M.Sc. degree (cum laude) in Computer Engineering, and the Ph.D. degree in Information Engineering from the University of Florence in 2014 and 2018, respectively.
In 2014, he spent 6 months as visiting research scholar at the IRIS Computer Vision Lab of the University of Southern California (USC), working on the problem of pose invariant face recognition, under the supervision of Prof. Gerard Medioni.
His research interests include the analysis of humans, including face recognition, emotions and expressions analysis, 3D face and body modeling and reconstruction, and deep generative models for 2D/3D/4D face generation.
On these topics, he authored and co-authored more than 30 publications in international journals and conference proceedings.

Assistant Professor (RTD/A)

Tomaso Fontanini received his Ph.D. in Information Engineering from the University of Parma in 2021 under the supervision of prof. Andrea Prati.
In 2020 he was a visiting student in the VisLAB laboratory of prof. Bir Bhanu at UCR (University of California, Riverside).
He is currently an Assistant Professor at the Department of Engineering and Architecture of the University of Parma.
His current research interests include image generation and manipulation of facial attributes and styles in an unsupervised setting.
In the past, he worked on applying meta-learning techniques to generative adversarial networks and image retrieval.
He co-authored several publications about these topics in journals and international conferences.
He regularly serves as a reviewer for several international conferences such as CVPR, ICVV and ECCV.

Former PHD Researcher

Leonardo worked at CERN as Invenio core developer and collaborated with Zenodo team.
He graduated in in Computer Engineering at the University of Parma in 2018.
He got his PhD in Information Engineering in 2022 from the same University, working on Object Detection, Instance Segmentation techniques on social networks, funded by Adidas.
He is currently a post-doc at the University of Parma, working on Anomaly Detection and Action Time Localization on video and Super-Resolution and Detection for Multi- and Hyper-spectral images.
His list of publications can be found on her Google Scholar.
https://scholar.google.com/citations?user=wdCxtfcAAAAJ&hl=en

Former PHD Student

Vittorio Bernuzzi earned a master's degree in Information Engineering from the University of Parma in 2021.
In 2022, he was awarded an 8-month research scholarship to work on Video Anomaly estimation in the ego vehicle perspective, under the supervision of Prof. Andrea Prati in the University of Parma's Department of Engineering and Architecture.
Currently, he is a PhD student at IMPLab, focusing his research on tasks like Video Anomaly Detection, Video Action Recognition, and Multispectral Imagery Super-resolution.

Former PHD Student

Munsif Ali completed master’s degree in 2018 from the Quaid-i-Azam University, Pakistan.
During his master’s degree he worked on the area of routing algorithms for sensor networks.
After Master program, he worked in same area as research assistant at the University of Peshawar, Pakistan.
Currently, he is PhD student, at the University of Parma, Italy in the Department of Engineering and Architecture.
His PhD research topic is Generative Adversarial Networks (GAN).

Former PHD Student

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PHD Student

Filippo Botti earned a Bachelor's degree in Information Engineering from the University of Parma in 2021, followed by a Master's degree in Information Engineering from the same university in 2023.

During both his Bachelor's and Master's degrees, he conducted research on Generative Adversarial Networks (GANs), with a specific focus on Image-to-image translation and the attention mechanisms within GANs.

His thesis titles are as follows:

• Bachelor's degree: 'Attention Transfer for Cycle Consistent Generative Adversarial Networks'
• Master's degree: 'Unsupervised Subject Segmentation for Accurate Image-to-Image Translation'

He currently is a PhD student at IMPLab, focusing his research on Image-to-Image translation and Video Generation

PHD Student

Alex Ergasti earned a bachelor's degree in Information Engineering from Politecnico di Milano and a master's degree in ICT from the University of Parma. He currently is a PhD student at IMPLab, focusing his research on Generative Adversarial Network.

PHD Student

Marco Barezzi earned a Master's degree in Computer Engineering from the University of Parma in 2025.

He is currently a PhD student at IMPLab, University of Parma. His research focuses on deep learning and generative models, with particular interest in 3D shape generation.

His research interests also include the application of active learning and transfer learning to sustainable chemistry, particularly focusing on transferring knowledge from solution-based chemistry to mechanochemistry to improve the efficiency and sustainability of chemical processes.

PHD Student

He earned a Bachelor's degree in Information Systems Engineering from the University of Parma in 2023, followed by a Master's degree in Computer Engineering from the same university in 2025.

During his Master's degree, he focused on deep learning techniques for medical image analysis, with particular attention to semantic segmentation in the surgical domain. His Master's thesis was carried out in collaboration with a medical startup working in cardiac surgery, with the goal of developing and evaluating advanced deep learning models for semantic segmentation of cardiac surgical videos.

His Master's thesis title is:"Cardiac Semantic Segmentation: Development and Comparative Analysis of Advanced Deep Learning Models"

He is currently a PhD student at IMPLab, University of Parma. His research focuses in deep learning and generative models for understanding and generation of medical images, volumetric data, and videos.

PHD Student

He earned a Bachelor's degree in Computer Science from the University of Parma in 2024, followed by a Master's degree in Computer Science from the same university in 2026. During his academic career, he focused on artificial intelligence and deep learning, with applications ranging from software vulnerability detection using large language models to expressive human motion analysis and synthesis for Human-Robot Interaction. He also worked as a Research Fellow at the University of Parma, contributing to research projects in both cybersecurity and human motion modeling. His Master's thesis focused on the recognition and generation of expressive human movements using deep learning techniques. This research led to the publication of the paper Analysis and Generation of Motion Profiles from Positive and Negative Human Actions