I’m a Graduate Student at the Purdue University, Indiana, pursuing my Masters(thesis) in Computer Science. I work at the DCSL Lab advised by Prof. Saurabh Bagchi. I completed my bachelor’s degree (B. Tech. in CSE) from the Indian Institute of Technology, Kharagpur in 2013.
Update – I will be working @Google starting Aug 2017.
Identifying undesirable behavior in crowdsourced systems:
Understanding the DRAM errors in large scale HPC clusters @LLNL:
Study on spatial correlation between memory errors at the granularity of actual physical layout to predict vulnerable regions, job overloading etc. and develop mitigating technqiues.
Patwari, Ayush and Goldwasser Dan and Bagchi Saurabh. Tathya: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates, CIKM 2017 (to Appear)
Ayush Patwari, Ignacio Laguna, Martin Schulz, and Saurabh Bagchi. 2017. Understanding the Spatial Characteristics of DRAM Errors in HPC Clusters. In Proceedings of the 2017 Workshop on Fault-Tolerance for HPC at Extreme Scale (FTXS ‘17). ACM, New York, NY, USA, 17-22
Srivastava, R., Patwari, A., Kumar, S., Mishra, G., Kaligounder, L. and Sinha Efficient characterization of tennis shots and game analysis using wearable sensors data, In SENSORS, 2015 IEEE (pp. 1-4)
Patwari A., Mishra G., Srivastava R., De A., Patkar D.
METHOD AND DEVICE FOR GENERATING DATA REPRESENTING STRUCTURE OF ROOM
United States Patent Application 20150347638
Indoria S., Patwari A., Sinha P.
Method and system for video-analysis assisted sensor-data based ball-striking-device head speed estimation
India Patent App. 3927/CHE/2014