Alessandro Bruno is an Associate Professor of Computer Science at IULM University, specializing in Computer Vision, Image Processing, Visual Perception, Artificial Intelligence, and Computer Science. His research focuses on computational models that mimic the Human Visual System, particularly in Visual Attention Processes. He has been an Invited and Keynote Speaker at international conferences and is an active member of CVPL, AIxAI, and ACM, associations involved in research in computer vision, machine learning, and AI.
He earned PhD in Computer Engineering from the University of Palermo in 2012 with a thesis on image inspection. He has held postdoctoral positions at the University of Palermo, INAF, Sicily's Experimental Zooprophilactic Institute "A. Mirri," and the UK National Centre for Computer Animation (NCCA).
From 2012 to 2019, he was an adjunct professor at the University of Palermo. In 2018, he joined INAF IASF Palermo as a research fellow, focusing on electromagnetic field phenomena. In 2019, he was a Research Visitor at UCL’s Mullard Space Science Laboratory, working on Fully Convolutional Neural Networks (FCNNs) for satellite imagery analysis.
In 2020, he joined Bournemouth University’s NCCA as a Research Associate, contributing to an Innovate UK-funded project. In 2021, he became a Lecturer in Computing at Bournemouth University, leading units in Computer Fundamentals and Ethical Hacking while co-investigating the European project S4AllCities.
The Journal of Imaging awarded him the 2021 Best Paper award for his research on crowd behaviour analysis. He was also invited to join the CRUK expert panel for research project evaluations. In 2022, he became an Assistant Professor at Humanitas University, leading the "Informatics for Healthcare" unit and working on an AIRC-funded cancer research project.
Alessandro is a Guest Editor for journals such as Imaging, Applied Sciences, and Multimedia Tools and Applications and serves as an Academic Editor for PLOS ONE and the International Journal of Biomedical Imaging. He is also an active member of several international scientific committees and conferences.
He is the Principal Investigator for a European-funded project, HeReFaNMi (Health-Related Fake News Mitigation), which allowed the delivery of an AI-powered web service to check the trustworthiness of a given health-related textual content.
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