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V.  Patil-Shinde, Kukarni, T., Kulkarni, R., Chavan, P. D., Sharma, T., Sharma, B. Kumar, Tambe, S. S., and Kulkarni, B. D., ?Artificial intelligence-based modeling of high ash coal gasification in a pilot plant scale fluidized bed gasifier?, Industrial & Engineering Chemistry Research , vol. 53, no. 49, pp. 18678-18689, 2014.\par \par V.  Patil-Shinde, Saha, S., Sharma, B. K., Tambe, S. S., and Kulkarni, B. D., ?High ash char gasification in thermo-gravimetric analyzer and prediction of gasification performance parameters using computational intelligence formalisms?, Chemical Engineering Communications, vol. 203, no. 8, pp. 1029-1044, 2016.\par \par D.  Verma, Goel, P., Patil-Shinde, V., and Tambe, S. S., ?Use genetic programming for selecting predictor variables and modeling in process identification?, in 2016 Indian Control Conference (ICC), 345 E 47th ST, New York, NY 10017 USA, 2016, pp. 230-237.\par \par P.  Goel, Saurabh, K., Patil-Shinde, V., and Tambe, S. S., ?Prediction of degrees API values of crude oils by use of saturates/aromatics/resins/ asphaltenes analysis: computational-intelligence-based models?, SPE Journal, vol. 22, no. 3, pp. 817-853, 2017.\par \par V.  Patil-Shinde and Tambe, S. S., ?Genetic programming based models for prediction of vapor-liquid equilibrium?, Calphad-Computer Coupling of Phase Diagrams and Thermochemistry, vol. 60, pp. 68-80, 2018.\par \par }