معرفی
Alessandro Ortis is a Fixed-term Assistant Professor (RTDb) in Computer Vision at the Department of Mathematics and Computer Science, University of Catania. He teaches Programmazione 2 (Computer Science BD) and Statistical Laboratory (Data Science MD). As director of the IPLAB Biometric Research Group (BioRG), he leads work in Computer Vision, Deepfake Detection, and Biometric Security with applications in Forensic Analysis and Medical Imaging. He is an IEEE Senior Member and active participant in international scientific events as organizer and reviewer.
- Education: PhD in Mathematics and Computer Science (2019, University of Catania; Imperial College London collaboration), MSc in Computer Science (summa cum laude, 2015)
His research focuses on adversarially robust models, multimodal analysis, and physiological signal processing. Current projects include SIAM (Multimodal AI) and SAFE-IA (AI Reliability & Robustness). He has authored/co-authored over 20 journal papers and 40 conference proceedings, including a Best Poster Award at IMPROVE 2021.
- Key Research Areas:
- Computer Vision
- Biometric Security
- Adversarial Machine Learning
- Medical Imaging Analysis
- Forensic Vision
He holds editorial/reviewer roles at IEEE Access, Journal of Imaging, and Springer LNCS. The BioRG team under his leadership explores explainable AI, edge computing frameworks, and privacy-preserving learning for biometric applications.
