Alessandro Flaborea
Chief Technology Officer at Procederai
AI researcher and technology leader passionate about bridging state-of-the-art research with real-world applications. Exploring the intersection of computer vision, procedural learning, and enterprise automation through both academic research and industry innovation.
Professional Journey
Chief Technology Officer
Leading technical strategy and product development for AI-powered automation platforms. Building engineering teams while driving research initiatives that transform enterprise workflows through advanced video understanding and multimodal AI.
Ph.D. in Computer Science
Research on "Anomaly Detection Across Multiple Domains" with focus on generative models, self-supervised learning, and hyperbolic neural networks. Conducted research at the PINlab (Perception and Intelligence Lab). Published 10+ papers in top AI conferences.
Currently building the future of enterprise automation as CTO at Procederai — transforming complex procedures through AI-powered video understanding.
Research & Publications
Pioneering research in AI, computer vision, and anomaly detection with publications in top-tier venues including ICLR, CVPR, and ICCV. Focused on practical applications of machine learning in real-world scenarios.
Compositional Entailment Learning for Hyperbolic Vision-Language Models
ICLR 2025
Novel approach to hierarchical vision-language understanding using hyperbolic geometry.
PREGO: online mistake detection in PRocedural EGOcentric Videos
CVPR 2024
First online one-class classification model for procedural mistake detection in egocentric videos.
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
ICCV 2023
Novel generative model for video anomaly detection using diffusion processes and multimodal assumptions.
Let's Connect
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