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.

410 Collaborative Innovation Center
Grace Bintrim
Google Scholar
Gauri Joshi
Gauri Joshi's website

Making Machine Learning Algorithms More Robust


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

CMU Engineering

Joshi to lead CMU’s AI-EDGE team

The mission of the AI-EDGE Institute is to design next-generation intelligent edge networks that are efficient, reliable, robust, and secure.

CMU Engineering

NSF CAREER grants awarded to engineering faculty

Four engineering faculty received NSF CAREER awards to support their education and research goals.

Carnegie Bosch Institute

Engineering faculty receives CBI funding

CEE’s Burcu Akinci and Gerald Wang; CyLab’s Eunsuk Kang; ECE’s Gauri Joshi; EPP’s Alex Davis; and MechE’s Satbir Singh, and Conrad Tucker, and Ding Zhao were awarded funding from the Carnegie Bosch Institute.

Electrical and Computer Engineering

Joshi wins best paper award

ECE’s Gauri Joshi won a best paper award at the Association for Computing Machinery’s annual SIGMETRICS conference.

CyLab Security and Privacy Institute

First round of Secure and Private IoT Initiative funded projects announced

CyLab’s Secure and Private IoT Initiative (IoT@CyLab) has broken ground as the first round of funded proposals have been announced. Twelve selected projects will be funded for one year, and results will be presented at the IoT@CyLab annual summit next year.

Scott Institute

Eight faculty receive Scott Institute seed grants for energy research

The Scott Institute recently selected awardees from the College of Engineering for its seventh round of seed grants for energy research.

CMU Engineering

Optimizing computing systems

Gauri Joshi has received a 2018 IBM Faculty Award for her research in distributed machine learning.