Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Siddha Ganju

Siddha Ganju
Solution Architect, NVIDIA

Website | @SiddhaGanju

Siddha Ganju is a self-driving architect at NVIDIA. She was featured on the Forbes 30 under 30 list, and she guides teams at NASA as an AI domain expert and is a featured jury member in several informational tech competitions. Previously, she developed deep learning models for resource-constrained edge devices at DeepVision. She earned her degree from Carnegie Mellon University, and her work ranges from visual question answering to generative adversarial networks to gathering insights from CERN’s petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS.


11:00am11:40am Wednesday, March 7, 2018
Data science and machine learning
Location: Expo Hall 1
Secondary topics:  Expo Hall
Siddha Ganju (NVIDIA)
Siddha Ganju explains how the FDL lab at NASA uses artificial intelligence to improve and automate the identification of meteors above human-level performance using meteor shower images and recover known meteor shower streams and characterize previously unknown meteor showers using orbital data—research aimed at providing more warning time for long-period comet impacts. Read more.