Welcome

Welcome to the Computational Intelligence for Materials and Process Innovation (CIMPI) Lab website. Our research focuses on developing intelligent computational tools to understand the nexus of mechanics, materials, and manufacturing processes. Specifically, we are interested in solving large-scale, multiphysics problems prevalent in advanced manufacturing and materials systems leveraging mechanistic reduced-order models and AI-based algorithms.

Some of the 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

Latest news

Jan 2026: New paper on Multimodal data fusion for LPBF process is published on Progress in Additive Manufacturing.
Dec 2025: New paper on data imputation in additive manufacturing is published on Machine Learning: Engineering Jornal.
Nov 2025: Tiana is going to present work on “Piezometric properties of additively manufactured composites” at the upcoming IMECE 2025.
Oct 2025: Two new preprints are now available at arXiv: “Physics-guided denoiser network for enhanced additive manufacturing data quality” and “Multimodal learning of melt pool dynamics in laser powder bed fusion“.
Oct 2025: New paper on “Surrogate-Assisted Adaptive Experimentation for Fused Filament Fabrication Process Optimization” published in Integrating Materials and Manufacturing Innovation.
Sept 2025: New paper on “Multiscale Modeling of Process-Induced Defects in Fused Filament Fabrication-Printed Materials” published in Advanced Engineering Materials.
Aug 2025: Welcome to our new member, Aditi Barua, to the CIMPI Lab.
Aug 2025: New paper on Data-driven prediction of melt pool dynamics: “Data-driven insights into melt pool dynamics and energy absorption in the laser powder bed fusion process” published in Progress in Additive Manufacturing.
Aug 2025: New paper on “Defects Modeling in 3D-printed Material” published in Advanced Engineering Materials.
July 2025: Dr. Mojumder attended USNCCM 18 at Chicago and presented recent work on “Physics-guided denoiser network for an advanced manufacturing system”.
Jun 2025: CIMPI Lab announces its 2nd Summer Program in Research, Education, and Mentoring (SUPREME).
New paper on “Computational discovery of a novel double transition metal nitride MXene” published in Journal of Materials Chemistry A.
New paper on “Data-Driven Insights into Melt Pool Dynamics” now available at SSRN Preprint.
New paper on “Adaptive sampling-based surrogate modeling for composite performance prediction”.
Welcome to our new lab members Pallock Halder and Tiana Tonge.