We build new protocols and architectures to improve the robustness and performance of computer networks. We develop practical solutions in wireless networks, network security, traffic engineering, congestion control, and routing.
At NETMIT we draw on advanced mathematical models to create systems for networks and wireless applications. Recent projects have focused on such topics as spectrum usage, sparse FFT, mobile networks and crowdsourcing. We have a particular interest in adapting tools from various fields of applied mathematics such as control theory, coding theory, and machine learning to solve problems in networks.
EQ-Radio can infer a person’s emotions using wireless signals. It transmits an RF signal and analyzes its reflections off a person’s body to recognize his emotional state (happy, sad, etc.).
MIT professor and CSAIL member Dina Katabi earns SIGCOMM Lifetime Achievement Award for her innovative contributions to both the Internet and wireless networks.
