|101C MacLean Hall||319-353-2328|
|The University of Iowa|
|Iowa City, IA 52242-1419|
22C:031 Students: I'll be holding office hours in 101N (not in 101C) at 2-3.30pm MF.
theoretical computer science: distributed algorithms, graph theory
big-data analysis: spatial data, social network data, epidemiology data.
My research focus is mainly on theoretical computer science. Specifically, I am more interested in problems in distributed computing and graph theory. Recently, I started working on theoretical aspects of social networks too. I am currently working with my PhD advisor Prof. Sriram Pemmaraju. I am also a part of weekly Algorithms Reading Group(ARG) where we discuss recent research papers on distributed computing, computational geometry, and self-stabilization.
In Summer 2014, I started working on disease spread simulations and modelling which compliments my theory research. We are trying to make use of our theory techniques developed for Congested Clique model to distributed disease spread simulations. Please visit Chikitsa web-page for further details.
During summer of 2013 I started working with Prof. Ramanathan Sugumaran on LiDAR data processing. Specifically we are interested in processing massive amount of data produced by LiDAR in a distributed and/or parallel way. I look at this project as a good mixture of theory (computational geometry) and systems (HPC, cloud computing).
This was done as a part of Big Data Technology course that I took. The problem was motivated from my ICDCN'13 paper and my another course- Social Networks: Models and Analysis. I verified the "small-world" property of various social networks including Power-grid network, co-author network,etc.
We implemented our proposed approaches for data reduction and Delaunay triangulation of the reduced data. The implementation is in C with socket programming and threading. We deployed our framework on high-memory nodes on Amazon Web Services (AWS) Elastic Compute Cloud (EC2).
In Spring 2012 I was a part-time research assistant for Prof. Aaron Stump for this project. I enjoyed coding in Java, JSP, JQuery, and MySQL (the "cutting edge" technologies for the web development) for this project.