Sushil Kumar Singh
Senior Structure Analyst – CAE Leader & Molex.

I am Sushil Singh, a Lead CAE engineer with more than 15 years of automotive engineering experience focused on multiphysics simulation, predictive engineering, and advanced modeling. My career has been built around connecting physics-based simulation with AI-assisted engineering workflows, including reduced-order modeling, surrogate modeling, sensitivity analysis, uncertainty quantification, nonlinear structural simulation, durability, thermal analysis, composites, Python, and MATLAB. I earned my PhD in Engineering Science and Mechanics from the University of Alabama and completed my M.S. and B.Tech in Aerospace Engineering from the Indian Institute of Technology Kanpur, which provided a strong foundation in mechanics, materials, and computational engineering. Professionally, I have contributed to engineering innovation at Molex and Ford Motor Company, leading AI-driven ROM development, Physics AI workflows using neural networks, Gaussian processes, Kriging, and RBF models, nonlinear structural and fatigue simulation, composite modeling, fracture mechanics, automation, and simulation methodologies that translate complex analyses into product-development decisions. My work is driven by curiosity, problem solving, collaboration, urgency, integrity, and a customer-first mindset, with a passion for building scalable tools and methodologies that help engineering teams make faster, more accurate, and more confident design decisions.