Vikram Tankasali

M.E Student   ( 2008, August - 2010, June)
Dept. of Computer Science and Automation(CSA)
Indian Institute of Science(IISc), Bangalore


  Email:     firstname AT csa.iisc.ernet.in

Publications || Education || FaceBoook

Research Areas

  • Machine Learning
  • Online Learning
  • Convex Optimization

Research Lab

Education

  • M.E. ( Computer Science )    
  •           Department of Computer Science and Automation(CSA), Indian Institute of Science, Bangalore.
              Advisor : Dr. Chiranjib Bhattacharrya

  • B.E. ( Computer Science & Engineering )    
  •           Department of Computer Science, B.M.S College of Engineering   (affiliated to V.T.U), Bangalore.  

Graduate Courses

  • Machine Learning:   Probabilistic Models for Learning,   Topics in Machine Learning,   Information Theory and Statistical Inference,   Data Mining.

  • Optimization:   Computational Methods of Optimization,   Convex Optimization.

  • Mathematics:   Linear Algebra,   Real Analysis,   Mathematical foundations for Modern Computing,   Probability Models and Simulation.

  • Other:   Design and Analysis of Algorithms,   Computer Communication Networks,   Automata Theory and Computability,   Distributed Computing Systems.

Recent Activities

  • Mathematics of Ranking

  • American Institute of Mathematics(AIM), Palo Alto, California.  Workshop
  • Teaching Assistant , January - May 2011.

  • E0 371 (3:1) #   Topics in Machine Learning.   Course Webpage

Publications

Papers in Refereed Conferences

  • Vikram Tankasali, Srivatsan Laxman
    Future data event prediction using a generative model
    PATENT (8126891) 2012.

  • Achintya Kundu , Vikram Tankasali, Chiranjib Bhattacharyya, A. Ben-Tal.
    Efficient algorithms for learning Kernels from multiple Similarity matrices with general convex loss functions.
    Conference on Neural Information Processing Systems (NIPS), 2010.   pdf

  • Srivatsan Laxman, Vikram Tankasali, Ryen White
    Stream prediction using a generative model based on frequent episode in event sequences.
    Knowledge Discovery and Data Mining (ACM SIGKDD), 2008.   pdf

  • Vikram Tankasali, Kalyan Kumar Asangi
    Method apparatus and device for bearing VPLS service over IP backbone.
    PATENT (WO/2007/076692) 2008.

"We shall not cease from exploration and the end of all our exploring will be to arrive where we started and know the place for the first time" - T.S. Eliot