Dr. Somnath Mukhopadhyay is passionate about building quantitative models for business applications. He has published in numerous renowned journals like Decision Sciences, INFORMS Journal on Computing, Communications of the AIS, IEEE Transactions on Neural Networks, Neural Networks, Neural Computation, International Journal of Production Economics, and Journal of World Business among others. His research interest is in various business application areas such as revenue management, demand forecasting in manufacturing and service industries, technology growth models, pattern recognition and inventory controls. He uses advanced quantitative methods - Neural Networks, Bayesian analysis, decision trees, random forest, multivariable regressions, and SEM among others.He has working experience over 15 years in quantitative modeling in companies like American Airlines Decision Technologies (AADT), SABRE Technology Solutions, Delta Airlines, AT&T and GTE communication systems and M/S ACC & BABCOCK LTD.