Dr. Rajib Mukherjee is the Assistant Research Engineer at the Gas and Fuels Research Center for Texas A&M Engineering Experiment Station (TEES). He is the lead engineer of the center whose role is entirely dedicated towards innovation and application of engineering theories for the solution of complex problems. Rajib Mukherjee hold a Ph.D. in Chemical Engineering from Louisiana State University (2010). He conducted postdoctoral research at Tulane University, Center for Computational Science where he was part of the team developing tools for scheduling and maintaining Jobs involving Big Data across various Suoercomputers. He was also ORISE postdoctoral fellow at the United States Environmental Protection Agency (US EPA). At EPA he conducted research on sustainability assessment of chemical processes. He has developed algorithm using multivariate statistical methods to identify essential indicators that are necessary and sufficient for sustainability analysis. He has also worked at the Vishwamitra Research Institute as a Research Engineer, developing algorithm for stochastic optimization under uncertainty. From 2016, he worked at Texas A&M University as Visiting Assistant Professor in the department of Mechanical Engineering. Rajib’s interest includes multi-resolution and multivariate statistical analysis using Machine Learning Algorithms, optimization under uncertainty, multi-scale modeling, and sensitivity analysis and sustainability evaluation of process systems.