• Doctorate (PhD)

    University of Texas at Arlington

    Advisor: Dr.Gautam Das

    Fall 2010-Summer 2015 (expected)


  • Masters (MS)

    University of Texas at Arlington

    Advisor: Dr.Manfred Huber

    Thesis: Building Bayesian Networks from Rules

    Fall 2008 - Spring 2010

  • Bachelors (BE)

    Anna University

    Thesis: DotLinux - An Implementation of .NET's Virtual Execution System for Linux.

    Fall 2001 - Spring 2005

  • Award Doctoral Dissertation Fellowship, UT Arlington
  • Awarded "Outstanding PhD Student" at 2014 College of Engineering Awards Banquet.
  • Our paper "Who Tags What? An Analysis Framework?" has been selected as one of the best papers of VLDB 2012.
  • Awarded "Outstanding Graduate Teaching Assistant" at 2012 College of Engineering Awards Banquet.
  • Student Travel Awards: VLDB 2014, SIGMOD 2014, ICDE 2014, ICDE 2013.
  • STEM Graduate Tuition Fellowship from 2010-Spring 2015.
  • Dean's Fellowship (MS) from 2008-2010.
  • Received both Individual and Group achievement award at Infosys.
  • Outstanding Student award (2001-2005) at SKCET.
Microsoft Research, Seattle USA Qatar Computing Research Institute, Doha Qatar
  • Research intern in Social Computing group during Fall 2012 and Spring 2013
  • Worked with Dr.Carlos Castillo and Dr.Sofiane Abbar
  • Research work published in ICDE 2014 and PVLDB 2015.
Yahoo! Labs, Bangalore India
  • Research intern in Ad Sciences team during Summer 2012
  • Worked with Dr.Vineet Chaoji
University of Texas at Arlington, Arlington USA
  • Instructor, Fall 2014-Spring 2015
    • Graduate course CSE 5334: Data Mining in Spring 2015
    • Graduate course CSE 5311: Design and Analysis of Algorithms in Fall 2014.
    • See Teaching for full list of courses
  • Enhanced Graduate Teaching Assistant, Fall 2010-Spring 2015
    • Received Outstanding Teaching Assistant award in 2012
    • See Teaching for full list of courses
  • Graduate Research Assistant, Fall 2008-Spring 2010
    • Worked with Dr.Manfred Huber, Dr.Gergely Zaruba and Dr.Richard Schoech (Dept. of Social Work)
    • Research work published in SMC 2011.
Work Experience
  • Application Engineer in Amazon Kindle team (2007-2008)
  • Software Engineer in Product Engineering department in Infosys (2005-2007). Worked on the Russianization of Finacle project.

Machine Learning, Data Mining and Artificial Intelligence

  • Machine Learning
  • Reasoning with Uncertainty
  • Pattern Recognition
  • Data Exploration
  • Advanced Data Mining with Graphs and Matrices
  • Multi Agent Systems (Algorithmic Game Theory)
  • Data Mining
  • Web Search, Mining and Integration
  • Artificial Intelligence-I
  • Artificial Intelligence-II


  • Advanced Computational Models and Algorithms
  • Applied Graph Theory and Combinatorics
  • Bioinformatics
  • Numerical Methods
  • Data Analysis and Modeling



  • I am teaching a graduate course CSE 5334: Data Mining in Spring 2015. Check out the course website!. The student reviews can be found here [PDF] .
  • I taught a graduate course CSE 5311: Design and Analysis of Algorithms in Fall 2014. Check out the course website!. The student reviews were quite positive and can be found here [PDF] .

Over the last few semesters, I have been a Graduate Teaching Assistant for multiple courses.
  • Spring 2014: CSE 6311 (Advanced Computation Models) and CSE 5311 (Advanced Algorithms)
  • Fall 2013: CSE 5311 (Advanced Algorithms)
  • Fall 2011: CSE 6339 (Data Exploration) and CSE 5334 (Data Mining)
  • Summer 2011: CSE 5360 (Artificial Intelligence-I)
  • Spring 2011: CSE 6311 (Advanced Computational Models and Algorithms) and CSE 3302 (Programming Languages)
  • Fall 2010: CSE 5311 (Advanced Algorithms) and CSE 6339 (Data Exploration)

Professional Activities

  • Member of ACM
  • Member of IEEE
  • Member of IEEE Computer Society

Reviewer Service

  • VLDB: 2012, 2013, 2014, 2015
  • SIGMOD: 2013, 2014
  • ICDE: 2013, 2014
  • KDD: 2012
  • ICDM: 2014
  • IEEE BigData: 2013
  • CIKM : 2013
  • EDBT: 2014
  • WSDM: 2013
  • TKDE
  • VLDB Journal

I LOVE learning new stuff! Here are some of the courses I have taken (and received certificate of accomplishment) from different MOOC providers.

Category Course University Professor Provider Certificate
CS/Math Machine Learning Stanford University Andrew Ng Coursera [PDF]
CS/Math Statistical Learning Stanford University Trevor Hastie, Rob Tibshirani Stanford edX [PDF]
CS/Math CS1156X: Learning From Data CalTech Yaser S. Abu-Mostafa edX [PDF]
CS/Math Linear and Discrete Optimization EPFL Friedrich Eisenbrand Coursera [PDF]
CS/Math Discrete Optimization University of Melbourne Pascal Van Hentenryck Coursera [PDF]
CS/Math Linear and Integer Programming University of Colorado Sriram Sankaranarayanan and Shalom Ruben Coursera [PDF]
CS/Math Programming a Robotic Car Stanford University Sebastian Thrun Udacity [PDF]
CS/Math Social and Economic Networks: Models and Analysis Stanford University Matthew O. Jackson Coursera [PDF]
CS/Math Networked Life University of Pennsylvania Michael Kearns Coursera [PDF]
CS/Math Discrete Inference and Learning in Artificial Vision Ecole Centrale De Paris Nikos Paragios, Pawan Kumar Coursera [PDF]
CS/Math Game Theory Stanford University Yoav Shoham, Matthew O. Jackson Coursera [PDF]
CS/Math Model Thinking University of Michigan Scott E. Page Coursera [PDF]
CS/Math Computing for Data Analysis Johns Hopkins University Roger Peng Coursera [PDF]
CS/Math Coding the Matrix Brown University Philip Klein Coursera [PDF]
CS/Math Algorithms: Design and Analysis, Part 1 Stanford University Tim Roughgarden Coursera [PDF]
Misc Writing in the Sciences Stanford University Kristin Sainani Coursera [PDF]
Misc Epidemics - the dynamics of Infectious Diseases University of Pennsylvania Many Coursera [PDF]
Misc Rationing and Allocating Scarce Medical Resources University of Pennsylvania Ezekiel J. Emanuel Coursera [PDF]
Misc Introduction to Philosophy University of Edinburgh Many Coursera [PDF]