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.
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
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.
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.
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.
Optimizing computing systems
ECE’s Gauri Joshi has received a 2018 IBM Faculty Award for her research in distributed machine learning.