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Kang G. Shin recognized with Distinguished Leadership Award by IEEE Computer Society Technical & Conference Activities Board
  1. Kang G. Shin recognized with Distinguished Leadership Award by IEEE Computer Society Technical & Conference Activities Board

    His work in the area of real-time computing has spanned decades and has had impact in a broad range of applications.

  2. Z. Morley Mao elected IEEE fellow for contributions to performance and security of internet routing and mobile systems

    Prof. Mao and her students have played an important role in understanding the efficiency, security, and performance of a number of mobile systems.

  3. Enabling efficient, globally distributed machine learning

    A group of researchers at U-M is working on the full big data stack for training machine learning models on millions of devices worldwide.

  4. Alumnus Yi-Jun Chang Wins PODC Dissertation Award

    His work is in complexity theory of distributed computing.

  5. “Hiding” network latency for fast memory in data centers

    A new system called Leap earned a Best Paper award at USENIX ATC ‘20 for producing remote memory access speed on par with local machines over data center networks.

  6. Enabling fairer data clusters for machine learning

    Their findings reduce average job completion time by up to 95% when the system load is high, while treating every job fairly.

  7. Big data, small footprint

    How changing the rules of computing could lighten Big Data’s impact on the internet.

    The post Big data, small footprint appeared first on Engineering Research News.

  8. Five papers by CSE researchers presented at NSDI

    The teams designed systems for faster and more efficient distributed and large-scale computing.

  9. $1M grant to develop U-M high-capacity research network

    The team will develop a secure, data-intensive network solution to effectively transport extremely high volumes of research data on and off campus.

  10. Facebook Fellowship for improving high-demand web services

    Akshitha Sriraman works to enable hyperscale computing on high-demand web services.