Mona Attariyan

I received my PhD from University of Michigan at 2012 and joined Google shortly after that. My research focused on automated diagnosis of software configuration problems that lead to crashes, undesired behavior, and also performance problems. My research interests, however, broadly include operating systems and distributed systems. I have been serving as program committee member in the following systems conferences:
SOSP 2017 - Light PC
Usenix ATC 2017
ASPLOS 2016
NSDI 2016 - LightPC
Co-chairing Diversity @ SOSP 2015
EuroSys 2015
Recently, I've been shifting my focus to machine learning. Google has accumulated a lot of knowledge and expertise over the years in designing machine learning algorithms and applying them to a variety of domains. I am working with machine learning researchers to make Google-made machine learning available to people outside Google.
More specifically, I’m working with Natural Language Understanding researchers to identify the domains in which Google’s rich set of NLU models can help solve users’ problems. These domains include understanding sentiment expressed in text, understanding various topics and entities in a piece of text, and understanding low level language structures. Our users bring use cases from many different problem domains to us. Our goal is to design models and solutions to accommodate many use cases with high accuracy and flexibility.

Previous Publications

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    Improving Software Configuration Troubleshooting with Causality Analysis

    Mona Attariyan

    Ph.D. Thesis (2012)

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    X-ray: Automating Root-Cause Diagnosis of Performance Anomalies in Production Software

    Mona Attariyan, Michael Chow, Jason Flinn

    Proceedings of the 10th Usenix Symposium on Operating Systems Design and Implementation (OSDI) (2012)

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    Automating configuration troubleshooting with dynamic information flow analysis

    Mona Attariyan, Jason Flinn

    Proceedings of the 9th Usenix Symposium on Operating Systems Design and Implementation (OSDI) (2010)

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    Using causality to diagnose configuration bugs

    Mona Attariyan, Jason Flinn

    Proceedings of the USENIX Annual Technical Conference (2008)

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    AutoBash: Improving configuration management with operating system causality analysis

    Ya-Yunn Su, Mona Attariyan, Jason Flinn

    Proceedings of the 21st ACM Symposium on Operating Systems Principles (SOSP) (2007)

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    Low-Cost Protection Against SER Upsets and Silicon Defects

    Mojtaba Mehrara, Mona Attariyan, Smita Shyam, Kypros Constantinides, Valeria Bertacco, Todd Austin

    Proceedings of the conference on Design, Automation and Test (DATE) (2007)