Yuval Shavitt

Prof. Yuval Shavitt is a Professor at Tel Aviv University's School of Electrical Engineering within the Iby and Aladar Fleischman Faculty of Engineering. His research focuses on Internet measurement, network mapping, and security, where he leads the globally recognized DIMES project for large-scale Internet topology analysis. Based in the Computer and Software Engineering department, he maintains an active research program with continuous publications and international collaborations.

His primary research interests encompass Internet measurement and characterization, network mapping and modeling, Internet routing security (particularly IP hijack attacks), artificial intelligence applications in networking, network motifs, transportation networks, QoS routing, peer-to-peer network data mining, and active networks. This work has established him as a leading figure in Internet topology research, with methodologies adopted by major scientific initiatives. His research bridges theoretical algorithms and practical network infrastructure challenges, emphasizing real-world applicability through distributed measurement systems.

Analysis of his 2009-2018 publications reveals consistent focus on Internet topology mapping, IP geolocation accuracy, and network security vulnerabilities. Key trends include the development of structural approaches for PoP-level geolocation, quantification of measurement biases in topology mapping, and analysis of geopolitical impacts on network infrastructure (notably the 2011 Arab events). His work demonstrates increasing integration of AI techniques for networking challenges and growing emphasis on infrastructure security.

Scientific Recognition:

• Best Student Paper Award at ConTel 2009

He has secured significant research funding, including an 8-year Israel Science Foundation Center of Excellence grant for Internet modeling (with Danny Dolev, Shlomo Havlin, and Sarit Kraus), and led DIMES through EU projects EVERGROW, MOMENT, OneLab II, and GN3. While student advisement isn't explicitly detailed in the source material, his extensive publication record suggests substantial mentorship activity. Current grants focus on AI-driven network analysis and infrastructure security.

He directs the DIMES project, a volunteer-driven distributed measurement system with global reach that has generated foundational Internet topology data. The project operates through an international consortium including EU partners and has been featured in Science Magazine for its innovative approach. Current work involves AI4Net (Artificial Intelligence for Networking) and network motif analysis within the Computer and Software Engineering infrastructure at Tel Aviv University.