II - Computer Science (Theory)

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  • Please come to our Informational Meeting on Wednesday, March 18th to hear faculty, researchers, and grad students present on exciting research happenings at CSAIL, and how you can be a part of them! check it out!
  • Five members of the Electrical Engineering and Computer Science Department of a total of eight MIT faculty have been elected to the National Academy of Engineering including Hari Balakrishnan, Sangeeta Bhatia, Anantha Chandrakasan, L. Rafael Reif and Daniela Rus. Read more.
  • A new cybersecurity center made possible by the William and Flora Hewlett Foundation will focus on cyber security policy -- one of three new academic initiatives (also at Stanford and UC Berkeley) aimed at laying the foundations for smart, sustainable policy to deal with the growing global cyber threats. Read more.
  • MIT's Computer Science and Artificial Intelligence Lab (CSAIL) held a two day conference celebrating 50 years of computer science looking forward to the future with solutions for today's obstacles and tomorrow's solutions. Read more.
  • Postdoctoral associate in the Computer Science and Artificial Intelligence Lab (CSAIL) Hamed Pirsiavash has developed a new algorithm that offers significant improvements in parsing video — linearly, no matter the length, with fixed requirement for memory and reaching conclusions in search more efficiently. Read more.
  • Imagine being curious enough as an 11 year old — on seeing your babysitter's mysterious calculus textbook symbols — to jump grades in order to leap several years ahead in math? Scott Aaronson, associate professor of electrical engineering and computer science and affiliate with the Computer Science and Artificial Intelligence Lab (CSAIL), has always had a way of thinking beyond -- now looking for the truths in computational complexity, and consequently influencing the way computation is perceived and executed in the future. Read more.
  • Professor Piotr Indyk and members of his group in the Computer Science and Artificial Intelligence Lab (CSAIL) have developed an algorithm that betters his (and Prof. Dina Katabi's) work to develop a faster than fast Fourier Transform in 2012. The new algorithm that uses the minimum possible number of samples to analyze signals has the potential to allow advances in medical devices such as magnetic resonance imaging (MRI) and nuclear magnetic resonance (NMR) machines to scan patients.

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