Bo Kong received both his B.Sc. and M.Sc. in Energy Engineering from Zhejiang University and his Ph.D. in Mechanical Engineering from Iowa State University (U.S.A.) in 2010. He worked as a postdoctoral research associate at the Department of Chemical and Biological Engineering of ISU, in general area of multiphase reaction engineering. Before joining GTIIT, he was a research scientist at Ames National Laboratory—U.S.DOE, studying multiphase flow modeling and liquid metal gas atomization.
Prof. Bo Kong’s primary research interest is chemical process/reactor engineering, particularly those involving with multiphase flows, such as gas-liquid, liquid-liquid, and gas-solid flows. He has extensive background in both experimental (PIV, LIF, LDA, LCSM, etc.) and computational methods (TFM, QBMM, DPM, VOF, etc.) for studying fluid flow, heat/mass transfer, and reactions. His works have been published in top journals in chemical engineering, computational physics, and fluid dynamics. While in engineering practice, most of his previous research projects were associated with chemical, oil/gas, and pharmaceutical industries, such as Dow Chemical, SABIC, Conoco-Philips, BP, Chevron, Pfizer, Praxair…
B. Kong and R. O. Fox, A Solution Algorithm for Fluid-Particle Flows Across All Flow Regimes, Journal of Computational Physics, 344, 575-594, 2017.
B. Kong, H. Feng, J. Capecelatro, R. Patel, O. Desjardins, and R. O. Fox, Euler-Euler anisotropic Gaussian mesoscale direct numerical simulation of homogeneous cluster-induce gas-particle turbulence, AIChE Journal 63, 2630-2643, 2017.
B. Kong and R. D. Vigil, Simulation of photosynthetically active radiation distribution in algal photobioreactors using a multidimensional spectral radiation model, Bioresource Technology 158, 141-148, 2014.
B. Kong, J. V. Shanks, and R. D. Vigil Enhanced algal growth rate in a Taylor vortex reactor, Biotechnology and Bioengineering 110, no. 8, 2140-2149, 2013.
B. Kong, M. G. Olsen, R. O. Fox, and J. C. Hill, Predictive capability of Large Eddy Simulation for pointwise and spatial turbulence statistics in a confined rectangular jet, Chemical Engineering Science 69, no. 1, 240-256, 2012.
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