My name is Azalia Mirhoseini. I recently joined Google Brain Residency program where I do research on large-scale deep learning. I received my Ph.D. in Elecrical and Computer Engineering from Rice University in 2015. My research sits in the crossroad of the fields of machine learning and computer system design. Through the course of my graduate studies, I published several conference and journal papers. I received a number of awards, including the best 2015 Ph.D. thesis award at Rice ECE.

Curriculum Vitae


My research work sits at the juncture between the two critical aspects of emerging computing scenarios: the physical and the algorithmic performance. By focusing on these aspects, I design and build the next generation of computing systems that are resource-efficient, intelligent, and trustworthy. My current research is on creating pragmatic, performance-efficient, and trusted solutions to big data learning problems. Target applications are resource-intensive iterative ML tasks whose usage scenarios include learning and analysis of dense visual content on constrained platforms (e.g., smartphones). My work so far has focused on the two widely-adopted ML algorithms: kernel based learning and deep neural network based learning.

I have also made a number of research contributions to the areas of embedded, cyber-physical, and IoT devices. The unifying theme of my work in this domain is leveraging the interplay between physical and algorithmic optimization.

You can find more about my work by clicking on the subjects below.

Reasearch on Machine Learning and Data Science

Reasearch on Security and Trust

    Awards and Honors

    • William Marsh Rice Best Thesis Award, ECE Department, 2015
    • IBM Ph.D. Scholarship, 2012
    • Schlumberger Ph.D. Student Fellowship, 2012
    • Microsoft Research Graduate Women’s Scholarship, 2010
    • Iran's National Math Olympiad Gold Medal, 2004


    Professional Service

    • Program Committee Member, International Conference on Applied Cryptography and Network Security (ACNS), 2016
    • Initiator and Organizer of a Deep Learning Reading Group at Rice ECE, Aug 2015- Present
    • Executive Member and Web Chair, Design Automation Vision Challenge Sponsored by IEEE Computer-Aided Network DEsign (CANDE), DAC 2015
    • Executive Committee Member and Event Organizer, Women ExCEL (Electrical and Computer Engineering Leaders), 2009-Present
    • Committee Member, Undergraduate Curriculum Revision, Rice ECE/CS 2014
    • Project Mentor, Undergraduate/Graduate Students, 2010-present
    • Reviewed for: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transaction on Forensics and Security (TIFS), IEEE International Conference on Computer Communications (INFOCOM), 2010-2012-2014, IEEE/ACM Design Automation Conference (DAC), 2010-2011-2014, The Network and Distributed System Security Symposium (NDSS), 2016




azalia at google dot com




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Duncan Hall, Room 2049
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