My research focuses on the development and optimization of metal additive manufacturing processes, particularly Laser Powder Bed Fusion (LPBF). By integrating experimental investigations with computational modeling and data-driven techniques, I aim to enable better process control, improve part quality, and support the design of novel alloys and structures for industrial applications.
Laser Powder Bed Fusion (LPBF), process monitoring and control, metal powder behavior and rheology, lattice structures, digital twins for manufacturing
Aerospace part repair and re-manufacturing
Medical implants and surgical tools
Tooling and mold inserts
Industrial automation and smart manufacturing
Material development for high-performance components
Computational: : Finite element analysis, machine learning, discrete event simulation, surrogate modeling
Experimental: In-situ process monitoring, powder production & characterization, microstructure and property analysis
Advanced manufacturing of metallic materials, Optimization of Mechanical Properties, Polymer and Hybrid Materials, AI enabled material development
