Committed and dedicated Associate Professor with over 10 years of experience in teaching and research in Computational Fluid Dynamics (CFD), Rheology, Heat Transfer, Multiphase Flows, Turbomachinery, and Renewable Energy. Specializes in conducting numerical simulations based various commercial and non-commercial codes and the integration of Artificial Neural Networks (ANN) with CFD to enhance predictive modeling and simulation accuracy. Emphasizing the potential of AI and CFD in digitalization and industry applications. Collaborative team player and skilled in developing curriculum programs for the Mechanical Engineering Department. Dedicated to achieving departmental objectives and creating optimal experience for both students and faculty. Proficient in delivering engaging and comprehensive lectures, conducting pioneering research, and presenting findings in captivating manners. Consistently presenting and publishing at conferences and maintaining thought leadership in peer-reviewed journals with over 70 publications. Contributed to various research projects sponsored by major industry bodies and government agencies across diverse fields, including Oil & Gas, demonstrating the transformative impact of AI and CFD in advancing these industries.