Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Manish Marwah

Manish Marwah
Senior Research Scientist, Hewlett Packard Labs

Website

Manish Marwah is a senior research scientist at Hewlett Packard Labs. His main research interests are in the broad area of data science, and its applications to cyber-physical systems, such as smart buildings and data centers. In particular, his research has focused on designing data mining methods for sustainability and energy management. Recently, he has been looking at large-scale analytics and its applications to IoT and security domains. His research has led to over 60 refereed papers, several of which have won awards, including at KDD 2009, IGCC 2011, and AAAI 2013. He has been granted 35 patents. Manish holds a PhD in computer science from the University of Colorado, Boulder and a BTech from the Indian Institute of Technology, Delhi.

Sessions

2:40pm3:20pm Thursday, March 16, 2017
Platform Security and Cybersecurity, Spark & beyond
Location: LL21 C/D Level: Advanced
Secondary topics:  Hardcore Data Science
Alexander Ulanov (Hewlett Packard Labs), Manish Marwah (Hewlett Packard Labs)
Alexander Ulanov and Manish Marwah explain how they implemented a scalable version of loopy belief propagation (BP) for Apache Spark, applying BP to large web-crawl data to infer the probability of websites to be malicious. Applications of BP include fraud detection, malware detection, computer vision, and customer retention. Read more.