Academic achievements include but not limited to the following publications:
- “Piezometric properties of additively manufactured composites”
- “Physics-guided denoiser network for enhanced additive manufacturing data quality”
- “Multimodal learning of melt pool dynamics in laser powder bed fusion”
- “Surrogate-Assisted Adaptive Experimentation for Fused Filament Fabrication Process Optimization”
- “Multiscale Modeling of Process-Induced Defects in Fused Filament Fabrication-Printed Materials”
- “Data-driven insights into melt pool dynamics and energy absorption in the laser powder bed fusion process”
- “Defects Modeling in 3D-printed Material”
- “Computational discovery of a novel double transition metal nitride MXene and its applications as an anchoring and catalytic material in Li–Se batteries”
Research Experience
Ongoing projects are related to:
- Mechanistic data science methods for large-scale problems inherent in advanced materials manufacturing
- Multimodal data fusion for process fingerprinting
- Process-structure-property-performance modeling for advanced materials system
Background
Research interests include developing intelligent computational tools to understand the nexus of mechanics, materials, and manufacturing processes; with a particular focus on solving large-scale, multiphysics problems prevalent in advanced manufacturing and materials systems leveraging mechanistic reduced-order models and AI-based algorithms.
Miscellany
CIMPI Lab announces its 2nd Summer Program in Research, Education, and Mentoring (SUPREME) that will be held from June 16-June 27, 2025.