معرفی
Andrea Prati is a Full Professor in the Department of Engineering and Architecture at the University of Parma, Italy. He has previously served as an Assistant Professor at the University of Modena and Reggio Emilia and as an Associate Professor at the University IUAV of Venice. His research spans computer vision, pattern recognition, video surveillance, machine learning, and sensor networks, with applications in smart cities, traffic systems, healthcare, and industrial automation.
His research interests include:
- Computer Vision and Pattern Recognition for creative industries (e.g., apparel analysis with Adidas)
- Distributed and embedded sensor networks for mobile vision
- Motion analysis and object tracking in multi-camera environments
- Semantic video transcoding and annotation
- Abnormal behavior detection for security and terrorism prevention
- Performance optimization in multimedia architectures
The recent publications highlight a strong focus on trajectory modeling, anomaly detection, and multi-camera surveillance systems. Themes such as spectral graph analysis, statistical modeling of motion, and robust outdoor surveillance illustrate a consistent trajectory in advancing intelligent video analytics. His work bridges theoretical innovation with real-world applications in public safety, transportation, and ambient intelligence.
Scientific honors include:
- IAPR Fellowship (2014) for contributions to video surveillance algorithms
He has served as Program Chair and General Chair for major international conferences such as ICDSC, ICIAP, and VNBA. He is actively involved in research leadership, including editorial roles for IEEE TCSVT, Elsevier's CVIU, and MDPI Applied Sciences. He leads and collaborates on numerous research projects funded regionally (Emilia-Romagna), nationally (PRIN), European (DELOS, THIS), and internationally (NATO Science for Peace). He also co-developed a patented solution with Marchesini Group SpA. His research group, IMPLab, drives innovation in intelligent systems. He teaches courses in computer architecture, algorithms, AI, and machine learning across undergraduate and graduate programs in engineering and data science.
