

Research Interests:
Physical Metallurgy, Materials Characterization and Materials Modeling.
Current Research:
As a graduate fellow in CAMM, Santhosh is working on developing PC based computational tools to correlate the microstructure and mechanical properties of Ti – Alloys. He is using artificial neural network with Bayesian frame work to predict the mechanical properties of Ti- alloys. Bayesian neural networks allow model comparison and automatic relevance determination various input parameters. Bayesian neural networks allow us to model functional dependencies of various microstructural features on mechanical properties. His past research includes work with Dr.Sears on Laser Engineering Net Shaping (LENS) of advanced materials such as 316L-SS, Inconel-718, and Ti6Al4V. He is also worked with Mr.Arbegast on Friction Stir Welding of various aluminum alloys.