World-renowned network scientist Albert László Barabási was installed as the inaugural Robert Gray Dodge Professor of Network Science on Monday, when he delivered a lecture highlighting his research on the “science of success.”
From studying the physics of a heartbeat to designing new cardiac disease detection methods, these five researchers have the heart on the brain.
Northeastern is part of an international consortium working to make all data from the field of high-energy particle physics available to the public.
The aesthetic beauty embodied by new research from associate professor of physics Latika Menon is the very thing that makes it useful for a range of advanced technologies.
New research from physics professor Mark Williams stands to transform HIV/AIDS drug discovery by elucidating a long-held paradox about the molecules that form our first line of immune defense against the virus.
Communities with strong mutualistic interactions tend to be more resilient, according to a new study by Filippo Simini, a postdoctoral research associate in Northeastern’s Center for Complex Network Research.
In new research, network scientist Alessandro Vespignani and his team show through computational modeling that a hypothetical attack involving smallpox may spread to two or four countries before the first cases are ever diagnosed.
Assistant professor of physics Toyoko Orimoto received an Early Career Award from the Department of Energy to study physics beyond the Standard Model.
Baruch Barzel, a postdoctoral researcher in world-renowned network scientist Albert-László Barabási’s lab, has worked out a method for mapping the interactions between cellular components, moving the team a step closer in its quest to understand, predict, and control disease.
Distinguished Professor of Physics Sri Sridhar is establishing Northeastern as the go-to knowledge resource for clinical and commercial translation of basic university research.
In 2009, Northeastern University network scientist Alessandro Vespignani developed a computational model that predicted the spread of the H1N1 virus. Three years later, new studies show that these predictions were highly accurate.
Physics professor Srinivas Sridhar and his team of researchers are developing new technology that could be useful for a variety of applications from detecting military threats to tracking epileptic seizures..