Current Research

I am currently working on developing machine learning algorithms for biomedical and longitudinal healthcare datasets.I have been working with researchers and radiolgoists from department of Radiology at Weill Cornell Medical College, The medical college of Cornell University. I am currently advised by Prof.Ramin Zabih and also I work closely with Dr.George Shih.

 

Past Research

In past I have been interested in wide range topics such as community detection in large networks, Semantic Web, Common Sense Computing, machine learning for drug design, etc.

 

Publications

  1. Analogy Engines for Semantic Web" (Poster) inInternational Semantic Web Conference 2009, Washington D.C., USA.
    ( National Science Foundation (NSF) travel fellowship award )
    PDF version of the paper

  2. Akshay Uday Bhat, et. al. "Prediction of Melting Point ofOrganic compounds using Extreme Learning Machines”,American ChemicalSociety’s Industrial and Engineering Chemistry Research. 2008, 47 (3),pp 920-925
    http://dx.doi.org/10.1021/ie0704647
    PDF version of the paper

  3. Akshay Uday Bhat, et. al. "Development of correlations foroverall gas hold-up, volumetric mass transfer coefficient and effectiveinter facial area in bubble column reactors using hybrid geneticalgorithm-support vector regression technique: viscous Newtonian andnon-Newtonian liquids." American Chemical Society’s Industrial andEngineering Chemistry Research. 2009, 48 (21), pp 9631-9654
    http://dx.doi.org/10.1021/ie801834w
    PDF version of the paper