My research spans digital health, wireless sensors, mobile computing, machine learning and computer vision.
They encompass congestion control, network measurements, scalability and robustness of communication systems, differentiated services, Internet pricing, routing, content distribution, peer-to-peer systems, self-configurable and wireless networks, and network security.
I have a particular interest in adapting tools from various fields of applied mathematics such as control theory, coding theory, and AI to solve problems in computer 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.).
This CoR takes a unified approach to cover the full range of research areas required for success in artificial intelligence, including hardware, foundations, software systems, and applications.
We develop AI systems that enable novel biosensors and digital biomarkers for monitoring diseases and treatment responses. Our work focuses on developing advanced machine learning systems to analyze complex physiological signals using techniques inspired from Computer Vision and Natural Language Processing.
As many a relationship book can tell you, understanding someone else’s emotions can be a difficult task. Facial expressions aren’t always reliable: a smile can conceal frustration, while a poker face might mask a winning hand.But what if technology could tell us how someone is really feeling?Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “EQ-Radio,” a device that can detect a person’s emotions using wireless signals.
CSAIL researcher Dina Katabi has been selected for the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT.
In his announcement, EECS Department Head Anantha Chandraksan said that Katabi 'is an ideal candidate for this professorship, given her outstanding technical contributions and leadership in wired and wireless networks.'
MIT's Dina Katabi discusses how researchers have created a technology that may give people x-ray vision. She speaks with Deirdre Bolton on Bloomberg Television's 'Money Moves.' (Source: Bloomberg)
MIT CSAIL Principal Investigators Dina Katabi and Piotr Indyk have developed a new algorithm that improves on the fast Fourier transform (FFT), a fundamental concept in the information sciences that provides a method for representing irregular signals, compressing image and audio files, and solving differential equations and stock options.
