Research
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Areas
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New Institute-wide initiative will advance human and machine intelligence research. -
Institute Professor and two former MIT colleagues are recognized for their work in cryptography. -
EECS faculty member Stefanie Mueller led the development of the new ColorMod system. -
The Young Investigator Program (YIP) award will support research on machine learning. -
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Shafi Goldwasser, Silvio Micali, and Ronald Rivest are honored for their work in cryptography. -
Professors Saman Amarasinghe and Joel Voldman have been named ADHs. Professor Nancy Lynch becomes ADH for Strategic Directions. -
Six potentially paradigm-shifting research projects – including two involving EECS faculty – will make strides with funding from Professor Amar G. Bose Research Grants. -
EECS researchers say new design could dramatically cut energy waste in electric vehicles, data centers, and the power grid. -
EECS Professors Goldwasser, Lozano-Perez, and Micali, along with School of Science Dean Sipser, honored for "providing key knowledge" to computing. -
She succeeds Anantha Chandrakasan, who was named dean of engineering, as leader of MIT’s largest academic department -
EECS Associate Professor Ryan Williams has taken a key step toward solving the biggest problem in theoretical computer science. -
The EECS faculty member and her colleagues were honored for developing a new video-compression standard. -
The attorney, author, and civil-rights advocate moderated "The Gender/Race Imperative," a series of talks about equality in education. -
Current and former EECS students were honored at a recent luncheon. -
Nickolai Zeldovich receives 2017 ACM SIGOPS Mark Weiser Award. -
MTL researchers describe a printed nozzle system that could make uniform, versatile fibers at much lower cost. -
Muriel Medard will receive the IEEE Communications Society's Edwin Howard Armstrong Achievement Award. -
EECS professor is honored for early-career contributions in large-scale data center network architectures and protocols. -
Stefanie Mueller was honored for her work on human-computer interaction. -
The computer vision and machine learning expert will lead the new artificial intelligence research lab. -
New CSAIL research employs many types of medical data, including electronic health records, to predict outcomes in hospitals. -
CSAIL’s machine-learning system enables smoother streaming that can better adapt to different network conditions. -
Software developed by EECS and CSAIL researchers lets designers exploit the extremely high resolution of 3-D printers. -
New academic option attracts students from multiple MIT departments.
