Sep 9–12, 2019
Vijay Agneeswaran

Vijay Agneeswaran
Senior Director, Technology, Publicis Sapient

Website | @a_vijaysrinivas

Vijay Srinivas Agneeswaran is a senior director of technology at Publicis Sapient. Vijay has spent the last 12 years creating intellectual property and building products in the big data area at Oracle, Cognizant, and Impetus, including building PMML support into Spark/Storm and implementing several machine learning algorithms, such as LDA and random forests, over Spark. He also led a team that built a big data governance product for role-based, fine-grained access control inside of Hadoop YARN and built the first distributed deep learning framework on Spark. Earlier in his career, Vijay was a postdoctoral research fellow at the LSIR Labs within the Swiss Federal Institute of Technology, Lausanne (EPFL). He’s a senior member of the IEEE and a professional member of the ACM. He holds four full US patents and has published in leading journals and conferences, including IEEE Transactions. His research interests include distributed systems, cloud, grid, peer-to-peer computing, machine learning for big data, and other emerging technologies. Vijay holds a bachelor’s degree in computer science and engineering from SVCE, Madras University, an MS (by research) from IIT Madras, and a PhD from IIT Madras.

Sessions

1:45pm2:25pm Thursday, September 12, 2019
Location: 230 A
Vijay Agneeswaran (Publicis Sapient), Abhishek Kumar (Publicis Sapient)
Multilabel text classification is a problem where multiple tags or categories may be associated with text or documents, which occurs in scenarios such as news categorization and in bioinformatics. Vijay Agneeswaran and Abhishek Kumar explore how industrialized capsule networks handle spatial relationships between objects and an image and how recurrent capsule networks are useful in text analytics. Read more.

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