Alessandro Bruno
Contacts
Email
[email protected]
Individual tutorial
Timetable
Upon reservation to be agreed with the teacher by e-mail.
Alessandro Bruno earned an MD in Computer Engineering from the University of Palermo in 2008 with a final project on biomedical image processing applied to MRI. In 2009, he won a scholarship for a PhD studentship in Computer Engineering at the University of Palermo. In April 2012, he obtained the PhD in Computer Engineering, defending a thesis entitled "Texture and Local Keypoints' analysis for advanced Image Inspection".
Afterwards, he covered several postdoctoral positions at Palermo University, INAF (Italian National Institute for Astrophysics), Sicily's Experimental Zooprophilactic Institute "A. Mirri", and NCCA (the National Centre for Computer Animation) in the UK.
From 2012 through 2019, he was an adjunct professor of computer science with the faculty of medicine and surgery and law faculty from Palermo University.
In 2018, he won a fellowship at INAF IASF Palermo (Institute for Spatial Astrophysics and Cosmic Physics) to work on electromagnetic field phenomena with image and signal processing techniques.
In 2019, he was a Research Visitor with the imaging group from the Mullard Space Science Laboratory at UCL (University College London), where he majored in FCNN (Fully Convolutional Neural Networks) to detect cloudiness coverage masks from satellite imagery.
In 2020, he was a Research Associate with the NCCA from Bournemouth University in the UK and worked on an applied research project funded by the Innovate UK program.
In 2021, he won an open-term Lectureship in Computing at Bournemouth University's Faculty of Science and Technology. He was the leader of two units: "Computer Fundamentals" and "Ethical Hacking and Countermeasures". He also held practical lab sessions for the Cybersecurity unit. At the same time, he served as Co-Investigator for the European Program Funded project S4AllCities (Safety for All Cities).
In 2021, he was awarded the Best Paper prize from the International Journal of Imaging for an article accepted in the Human Behaviour Analysis for Smart City Environment Safety workshop. The article is titled "High-Level Feature Extraction for Crowd Behaviour Analysis: a Computer Vision approach".
He was invited to join the CRUK (Cancer Research United Kingdom) ad-hoc expert panel to evaluate research project proposals.
In 2022, he was an Assistant Professor at Humanitas University and worked on an AIRC (Italian Association on Cancer Research) funded project. He was also the leader of the "Informatics for Healthcare" unit in the School of Medicine programme at Humanitas University.
He is currently involved in several scientific editorial projects:
Associate Editor of Journal of Imaging, Applied Sciences, Multimedia Tools and Applications, Frontiers in Computer Science, among others.
He serves as a member of several technical programme committees for International Scientific Conferences and Workshops.
He is now an adjunct professor at IULM University, leading the "Data Mining and Text Analytics" unit within the postgraduate programme Artificial Intelligence, Society and Business.
MAIN AREAS OF SCIENTIFIC INTEREST
Computer Vision, Artificial Intelligence, Visual Saliency, Visual Attention, Natural Language Processing, Natural Language Understanding, Biomedical Image Analysis, Remote Sensing, Content-Based Multimedia Analysis.
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INSEGNAMENTI A.A. 2022/2023
Corso di Laurea Magistrale in Intelligenza artificiale, impresa e società