Researchers push the radio rainbow’s limits

In DARPA’s first ever Spec­trum Chal­lenge, com­puter sci­ence pro­fessor Gue­vara Noubir’s team dom­i­nated the com­pe­ti­tion in its attempt to transmit data from one point to another given the lim­ited fre­quency spec­trum available.

Big data’s role in business innovation

New assis­tant pro­fessor Christoph Riedl applies his research inter­ests in data sci­ence and com­pu­ta­tional social sci­ence to study sub­stan­tive research ques­tions in areas ranging from online social net­works to decision-​​making, team­work, and productivity.

Game analytics reveals games’ hidden impact

The rapid growth of mobile devices and big data is changing how inter­ac­tive games are devel­oped, sold, and played. Now, a new book from North­eastern fac­ulty lays the foun­da­tion for one of the world’s most rapidly inno­vating fields.

Blog:  iNSolution

Not your grandma’s Duck Hunt

I’ve said it here before: I’m not much of a gamer. My 9-​​​​year-​​​​old nephew gets exas­per­ated every time he sets me up in front of the Wii and ulti­mately just […]

Blog:  iNSolution

Northeastern researchers on the Boeing battery failures

By now you’ve prob­ably heard of the Boeing 787 Dream­liners and the prob­lems they had in their first weeks in the air. Basi­cally, the Dream­liner is an extremely fuel-​​​​efficient airliner. […]

Data mining in a complex world

The real world is an enor­mously com­plex net­work in which every­thing is inter­con­nected. Assis­tant pro­fessor of com­puter and infor­ma­tion sci­ence Yizhou Sun develops data-​​mining algo­rithms that take advan­tage of that complexity.

Blog:  iNSolution

How to keep them coming back for more

It totally blew my mind.” That’s what grad­uate stu­dent Laura Pfeifer Var­doulakis said of her encounter with work taking place in Tim­othy Bickmore’s lab in the Col­lege of Com­puter and […]

Validation for flu prediction

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.