Dmitri Loguinov

Dmitri Loguinov is a Professor in the Department of Computer Science & Engineering at Texas A&M University, affiliated with the Dwight Look College of Engineering. His research focuses on big-data computing, graph algorithms, network measurement, and cybersecurity. He holds a PhD from the City University of New York (2002) and a B.S. from Moscow State University (1995).

Education:

• Ph.D. Computer Science, City University of New York (2002)
• B.S. Computer Science (with honors), Moscow State University (1995)

Research interests span stochastic analysis of networks, peer-to-peer systems, congestion control, and large-scale web crawling. His work includes the IRLbot project, scaling to 6 billion web pages, and influential contributions to OS fingerprinting (e.g., Faulds and Hershel systems).

Key publications address triangle enumeration algorithms, distributed systems synchronization, and high-performance streaming frameworks like Vortex. He has received multiple awards including the Best Paper Award at IEEE P2P 2009 and WWW 2008.

Advising over 40 graduate and undergraduate students, Loguinov has led NSF-funded projects on data streaming (CNS-1717982), web crawling (CNS-1017766), and P2P churn analysis (CNS-0720571). His labs focus on extreme-performance systems and scalable network measurement.