Amar Viswanathan

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Amar Viswanathan
Contact Info
Hey there! I joined RPI in Fall '11 and am working under Prof. Jim Hendler. I focus mainly on text inference using Linked Data, Question Answering on Linked Data, Natural Language Processing, Summarization of natural language texts and Linked Data. From time to time I also find time to work on visualizations using jQuery and d3.js. Since 2013 I have also been involved in the IBM-RPI collaboration and have been able to work and use the Watson-Cognitive computing system for Linked Data Question Answering. Extending the Question Answering capabilities of Watson to Linked Data and using the named graph edges for better reasoning is my current focus. A similar thought process is Google's Knowledge Graph ;-). I also had a thoroughly enjoyable experience at the IBM T.J. Watson Research Center in the summer of 2014. At RPI I have also worked with Professor McGuiness on her FUSE project. Outside of RPI I enjoy reading books ranging from fiction to non-fiction. Edgar Allan Poe, Roald Dahl, Salman Rushdie, Umberto Eco would always find a place in my list of favourite writers. I enjoy graphic novels as well and rate Alan Moore, Mark Millar, Frank Miller very highly *as if they needed my rating*. Anime and manga also find a place in my heart and Hayao Miyazaki, Shiniciro Watanabe and Satoshi Kon are my favourites. In my previous workplace I had time for manga drawing and digital posters using Photoshop, GIMP and Flash but In the last few years I have started to learn Indian Classical music during my free time. I enjoy Western Classical, Indian Classical, Blues, Beatles, Classic Rock, Simon and Garfunkel and a lot of Indian artists. I also play the tin whistle and the harmonica. If you ever wanted to work on language processing and Linked Data or taste Indian cuisine or just "Madras Filter Coffee", you can shoot me an email!

Project Collaborator

SPP Project LogoSocial Practices (SPP)
Principal Investigator: Jim Hendler
Description: The overall goal of this project is to explore and establish a better understanding of privacy in this highly-networked world. This page features the tools and workflow needed to accomplish such a task. We argue that while much has been written and discussed about privacy in various domains (e.g., law, psychology, economic behavior, security, etc.), it remains unclear what exactly is the privacy problem? Our aim is to reframe our own understanding of privacy by moving away from these traditional disjointed compartments of knowledge. Moreover, given the complexity, we advocate this research question as an exemplar for the value of combining efforts between human and machine. This project features tools, workflow(s) and best practices we've developed and implemented to accomplish such a task. This is and will be a work in progress. Any comments and or feedback are welcomed. Please email Kristine Gloria at for more information.