Dima Krioukov

Dima Krioukov is a Professor at Northeastern University with appointments in the Departments of Physics, Mathematics, and Electrical & Computer Engineering. He is affiliated with the Network Science Institute and leads the DK-Lab research group. His work bridges theoretical physics, mathematics, and network science with applications to the Internet, neuroscience, and cosmology.

• Primary Office: 177 Huntington Avenue, 2nd floor, Rm. 227, Boston, MA 02115
• Additional Locations: The Roux Institute (London and Portland)
• Contact: +1-617-373-2934

Professor Krioukov's research spans network theory, network geometry, causal sets, and fundamentals of network dynamics. His work establishes connections between geometric properties of networks and their functional characteristics, with applications to navigation in complex systems. He has demonstrated that latent hyperbolic geometry explains heterogeneous degree distributions and strong clustering in real networks, and that the large-scale structure of the universe shares properties with complex networks like the Internet and the brain. His research has led to practical applications including optimal routing schemes for telecommunication networks based on hyperbolic geometry.

His recent publications reveal a strong focus on the intersection of geometry and network science, with particular attention to causal sets, Riemann surfaces, and hyperbolic geometry. The research trends show increasing sophistication in connecting discrete network structures with continuous geometric spaces, with applications ranging from quantum gravity to efficient Internet routing. The work demonstrates how fundamental geometric principles govern the structure and function of diverse complex systems across multiple domains.

• Top 2% scientists worldwide (Stanford University 2024 assessment)
• USPTO patent on super-scalable routing in telecommunication networks

Krioukov leads the DK-Lab, which focuses on theoretical aspects of network science with practical applications. His lab has developed methods to infer latent geometries of networks, created optimal routing algorithms based on hyperbolic geometry, and established connections between network structure and cosmological models. Current projects include research on network geometry, navigation in networks, random graphs and their limits, fundamentals of network dynamics, and quantum gravity applications. The lab maintains strong connections with both theoretical physics and practical network engineering communities.