Directory

Gauri Joshi is interested in stochastic modeling and analysis that provides sharp insights into the design of cloud and machine learning infrastructure.

Joshi’s research group is affiliated with the Parallel Data Lab (PDL) at Carnegie Mellon. Before joining CMU in Fall 2017, she was a research staff member at the IBM T. J. Watson Research Center. She completed her Ph.D. from MIT EECS in 2016, and she received her B.Tech. and M. Tech. in electrical engineering from IIT Bombay in 2010.

Office
410 Collaborative Innovation Center
Phone
412.268.1186
Email
gaurij@andrew.cmu.edu
Assistant
Grace Bintrim
Google Scholar
Gauri Joshi
Websites
Gauri Joshi's website Opens in new window

Making Machine Learning Algorithms More Robust

Education

2016 Ph.D., Electrical Engineering and Computer Science (EECS), Massachusetts Institute of Technology

2012 MS, Electrical Engineering and Computer Science (EECS), Massachusetts Institute of Technology

2010 M. Tech, Communications and Signal Processing, Indian Institute of Technology Bombay

2009 B. Tech, Electrical Engineering, Indian Institute of Technology Bombay

Media mentions


IEEE Information Theory Society

Joshi named 2025 Goldsmith Lecturer

ECE’s Gauri Joshi has been named the 2025 Goldsmith Lecturer by the IEEE Information Theory Society. As the recipient, Joshi will deliver the Goldsmith Lecture at one of the Society’s Schools of Information Theory, held for the benefit of students and postdoctoral researchers.

CyLab Security and Privacy Institute

Third round of Future Enterprise Security Initiative funded projects announced

CyLab’s Future Enterprise Security Initiative has announced its third round of funded proposals.

CyLab Security and Privacy Institute

CyLab awards 2024 seed funding

This year, CyLab has awarded $400K in seed funding to 17 CMU students, faculty, and staff members representing five departments at the university.

Office of Naval Research

Joshi receives 2023 Young Investigator Award

ECE’s Gauri Joshi has received the 2023 Young Investigator Award from the Office of Naval Research for her work in data-aware and system-aware algorithms for distributed machine learning. The award was given in the division of Information, Cyber and Spectrum Superiority Code 31.