I am interested in developing machine learning algorithms for large 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 advised by Prof. Ramin Zabih and I work closely with Dr. George Shih.
In past I did research on numerous topics such as Semantic Web, Quantitative Structure Activity Relationship, Modelling of Chemical Reactors.
Analogy Engines for Semantic Web (Poster) in International Semantic Web Conference 2009, Washington D.C., USA. ( National Science Foundation (NSF) travel fellowship award )
Prediction of Melting Point of Organic compounds using Extreme Learning Machines, In American Chemical Society’s Industrial and Engineering Chemistry Research. 2008, 47 (3),pp 920-925http://dx.doi.org/10.1021/ie0704647
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. In American Chemical Society’s Industrial and Engineering Chemistry Research. 2009, 48 (21), pp 9631-9654 http://dx.doi.org/10.1021/ie801834w