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Jason Mars receives CAREER Award to advance system architectures for artificially intelligent services and applications

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Jason Mars

Assistant Professor Jason Mars has been awarded an NSF CAREER grant for his project, “CAREER: Advancing the Frontier in System Architectures for Artificially Intelligent Services and Applications.”

The award will enable Prof. Mars to understand how future cloud and mobile systems should be designed to support increasing demand from users of intelligent assistants. Intelligent assistants require sophisticated machine learning and computer visions algorithms and he proposes to make the current computing platforms more efficient and expand systems to make them more intelligent, while also allowing for future research.

His work will impact national interests, economic advancement, technology, as well as, innovation in undergraduate and graduate education.

More information about the project is available in Prof. Mars’s CAREER Award Posting by NSF.

Prof. Mars’ current research interests include cross-layer systems in software and hardware, datacenter and warehouse-scale computer architecture, and hardware/software co-design.

Prof. Mars received his Ph.D in Computer Science at The University of Virginia in 2012 and joined the faculty at Michigan in 2013. Before joining U-M, he was an assistant professor in the CSE department at The University of California, San Diego. Also, he has served as visiting scientist at Google, which involved investigating opportunities to improve efficiency of Google’s backend infrastructure.

He has also received numerous honors and awards including the Preuss Faculty Scholar Appointment, the UVA Research Award, and Best Paper Awards from CGO ’12 and Computer Architecture Letters.

About the NSF CAREER Award

The CAREER grant is one of the National Science Foundation’s most prestigious awards, conferred for “the early career-development activities of those teacher-scholars who most effectively integrate research and education within the context of the mission of their organization.”

Assistive Technology; Autonomy, AI & Robotics; Honors and Awards; Jason Mars; Machine Learning; Research News