Anirudh Ramanathan

Carried out research on common UI interactions and their semantics with touch screen interfaces. Developed an early prototype Android GUI library implementing the formalism, allowing a better and
faster way to carry out multiple selections. The library is slated for release in late 2015.

Supervisor: Dr. Jaakko Järvi

Built a mapreduce based pipeline for large graph problems in C++, Implemented methods to perform in-degree computation and the pagerank algorithm, focusing on external memory sorting and minimization of disk I/O.

Built various passes for optimization and automatic parallelizing of code for Fortran77. The Minipolaris framework was used in order to achieve this and the results were tested on existing sequential fortran code.

Implemented parallel algorithms using the shared memory and message passing paradigms. Carried out in-depth analysis of performance of prefix sums (scan) with various algorithms, core counts, and input sizes.

Carried out a comparative study of several algorithms implemented using Python 3.0 for computing the
maximum bandwidth paths in random graphs of varying density in order to study their performance
characteristics

Our submission won the Microsoft Sponsor Prize at TAMUHack 2014 for the most creative use of Azure Cloud Technology.

We created a Google Chrome extension that simplifies the user experience and reduces the learning curve for diverse user interfaces on the web. It allows users to write their personal review for any website, comment, add hints & tips to inform future users, and in general improve user experience based off experience. We also added a voting system and a spam reporting… Show more

Our submission won the Microsoft Sponsor Prize at TAMUHack 2014 for the most creative use of Azure Cloud Technology.

We created a Google Chrome extension that simplifies the user experience and reduces the learning curve for diverse user interfaces on the web. It allows users to write their personal review for any website, comment, add hints & tips to inform future users, and in general improve user experience based off experience. We also added a voting system and a spam reporting system for comments to ensure quality of comments.

We have a REST API as part of a PHP webservice at the backend which makes it easy for us to extend our idea to other platforms in future. We plan to extend this extension to include:
Addons/Extensions/Applications on other platforms, User authentication, Filtering by social media, Tagging specific sections of webpages with comments, Spam filtering, Providing feedback to website creators/admins and allow them to respond and so on.

This extension and the associated PHP Webservice that is currently deployed on Azure were created in under 24 hours. Show less

Python-based implementation of a mining-bot for the IRC protocol which counts the incidence of certain words on a channel. It was used to create a monitor to help find the relative popularity of various programming languages on freenode servers.