II - Computer Science (Artificial Intelligence)

  • Professor Russ Tedrake and members of his research group, the Robot Locomotion Group, have tackled a difficult problem in robotics: how to mathematically allow for all instances of robot limbs touching (or striking) another surface in conjunction with free space motions. Tedrake and members of his group will be presenting their work in April at the Hybrid Systems: Computation and Control conference. The paper titled "A Direct Method for Trajectory Optimization of Rigid Bodies Through Contact" has been short listed for the best paper category.
  • Professor Rob Miller is one of four MIT faculty selected as 2013 MacVicar Faculty Fellow for outstanding undergraduate teaching, mentoring and educational innovation. One recommender wrote: “I think Rob embodies the ideal of an MIT teacher — caring, engaging, tirelessly working on behalf of the students, eliciting respect, admiration, and joy from the students.”
  • Researchers working with EECS faculty member and CSAIL principal investigator Samuel Madden, are developing a new system called DBSeer to address the realities of cloud computing -- particularly database applications requiring over expenditure for hardware. In June, Professor Madden and members of the MIT Database Group including first author of two papers on this work, postdoctoral associate Barzan Mozafari will present their work at the annual meeting of the Association for Computing Machinery’s Special Interest Group on Management of Data (SIGMOD).
  • "In our heads it's like a big world of small motions out there." Bill Freeman, professor of electrical engineering and computer science and associate department head of the Electrical Engineeering and Computer Science Department at MIT describes in a NY Times video his software that enables video magification to see what we can't normally see but might like to.
  • Erik Demaine, professor of electrical engineering and computer science in the MIT EECS Department and principal investigator in the MIT Computer Science and Artificial Intelligence Lab (CSAIL), has been honored with the 2013 European Association for Theoretical Computer Science (EATCS) Presburger Award for young scientists. Prof. Demaine was selected for his “outstanding contributions in several fields of algorithms, namely computational geometry, data structures, graph algorithms and recreational algorithms,” according to the EATCS website. “His work has shown promising applications to computer graphics, sensor networks, molecular biology, programmable matter, and manufacturing and engineering.”
  • At this year’s IEEE International Conference on Robotics and Automation, students in the Learning and Intelligent Systems Group at MIT’s Computer Science and Artificial Intelligence Laboratory will present a pair of papers showing how household robots could use a little lateral thinking to compensate for their physical shortcomings. EECS senior and SuperUROP student Annie Holladay has designed an algorithm that allows a robot to use both hands to avoid the bad, error-prone track so that it can successfully place an object in what might be up to a 16-dimensional space.
  • EECS Special Seminar Series
  • Researchers in the lab of Anantha Chandrakasan, the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering, including Rahul Rithe, a graduate student in MIT’s Department of Electrical Engineering and Computer Science, have developed a chip which can perform professional quality enhancements of photographs quickly and without draining power on smartphone and digital cameras--cutting out the need for added energy- and time-consuming computational photography systems.
  • Anant Agarwal, president of edX, the worldwide, online learning initiative of MIT and Harvard University and professor in the Department of Electrical Engineering and Computer Science at MIT has been elected to the National Academy of Engineering (NAE). He is recognized “for contributions to shared-memory and multicore computer architectures.”
  • In a spotlight for the MIT News Office, Devavrat Shah describes his choice to become a professor of electrical engineering and computer science after a brief foray (while he was a graduate student at Stanford in 1999) at a startup where he found the stimulation of contributing 1% inspiration time was diluted by 99% execution effort. Read more...


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