by U-M MICDE | Dec 18, 2024
The overarching goal of my research is to develop innovative data science methodologies that enable responsive, optimal, and intelligent decision-making in manufacturing. My work focuses on three interconnected research thrusts: (1) online process control and...
by U-M MICDE | Nov 14, 2022
Prof. Aboelkassem’s laboratory uses stochastic multiscale computational models based on Brownian-Langevin dynamics principles to derive a coarse-graining model that can describe the cardiac thin-filament activation process during contraction. The model links atomistic...