About

Paolo Braca is a distinguished researcher whose work spans multitarget tracking, maritime surveillance, underwater robotics, and autonomous systems — fields at the intersection of signal processing, artificial intelligence, and marine technology. His most influential contribution, "Message Passing Algorithms for Scalable Multitarget Tracking" (2018), has garnered over 347 citations, establishing him as a leading voice in probabilistic tracking frameworks with applications ranging from autonomous driving to crowd counting. This tutorial paper introduced a compelling paradigm that has since shaped how researchers approach complex, real-world tracking problems. Braca has also made substantial contributions to underwater surveillance and cooperative robotic networks, with his 2017 overview paper accumulating over 162 citations and helping define the research agenda for unmanned marine systems. His affiliation with NATO's Centre for Maritime Research and Experimentation (CMRE) is evident throughout his portfolio, where he has advanced autonomous anti-submarine warfare technologies and next-generation maritime situational awareness. More recently, his work on autonomous vessels and underwater inspection systems reflects a forward-looking vision for AI-driven ocean exploration. Through initiatives like the Aegean Ro-Boat Race, Braca also actively bridges academic research and real-world innovation, inspiring the next generation of marine roboticists.

Research Focus

Key Achievements

5
H-Index
7
Papers
612
Total Citations
87
Avg Citations/Paper
🏆 Most Cited Paper
Message Passing Algorithms for Scalable Multitarget Tracking
347 citations · 2018
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: NATO Centre for Maritime Research and Experimentation, North Atlantic Treaty Organization, California Maritime Academy

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago