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Electrical Engineering and Computer Sciences - Master's degree

Research and Teaching Output of the MIT Community

Electrical Engineering and Computer Sciences - Master's degree

 

Recent Submissions

  • Ecology and evolution simulation and quest design for an educational massive multiplayer online game 
    Zhang, Mark (Mark A.) (Massachusetts Institute of Technology, 2013)
    In this design-based research project, I developed two simulations to be used as student tools in a massively multiplayer online game targeted at STEM education, the Radix Endeavor. I designed both the underlying agent-based ...
  • Assessing intrusiveness of smartphone apps 
    Zhang, Fan, M. Eng. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2012)
    We tackle the challenge of improving transparency for smartphone apps by focusing on the intrusiveness component of assessing privacy risk. Specifically, we develop a framework for qualitatively assessing and quantitatively ...
  • Evaluation of somewhat homomorphic encryption schemes 
    Yang, Yang, M. Eng. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Massachusetts Institute of Technology, 2013)
    Homomorphic encryption allows one to outsource expensive computation to an untrusted party while keeping data in an encrypted form. While there has been a growing research focus in fully homomorphic encryption schemes, ...
  • Reduced traces and JITing in Church 
    Wu, Jeff (Jeffrey K.) (Massachusetts Institute of Technology, 2013)
    Church is a Turing-complete probabilistic programming language, designed for inference. By allowing for easy description and manipulation of distributions, it allows one to describe classical Al models in compact ways, ...
  • GPSZip : semantic representation and compression system for GPS using coresets 
    Wu, Cathy, M. Eng. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2013)
    We present a semantic approach for compressing mobile sensor data and focus on GPS streams. Unlike popular text-compression methods, our approach takes advantage of the fact that agents (robotic, personal, or vehicular) ...
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