Dietrich, Felix, Mahdi Kooshkbaghi, Erik M. Bollt, and IoannisG. Kevrekidis. 2020. “Manifold Learning for Organizing Unstructured Sets of Process Observations”. Chaos 30: 043108. Publisher’s Version: Manifold learning for organizing unstructured sets of process observations.

Lee, Seungjoon, Mahdi Kooshkbaghi, Konstantinos Spiliotis, Constantinos I. Siettos, and IoannisG. Kevrekidis. 2020. “Coarse-Scale PDEs from Fine-Scale Observations via Machine Learning”. Chaos 30: 013141. Publisher’s Version: Coarse-scale PDEs from fine-scale observations via machine learning.

Thiem, Thomas N., Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, and IoannisG. Kevrekidis. 2020. “Emergent Spaces for Coupled Oscillators”. Front Comput Neurosci 14: 36. Publisher’s Version: Emergent Spaces for Coupled Oscillators.

Zhuang, Liwei, Peter Corkery, Dennis T. Lee, Seungjoon Lee, Mahdi Kooshkbaghi, Zhen-liang Xu, Gance Dai, IoannisG. Kevrekidis, and Michael Tsapatsis. 2021. “Numerical Simulation of Atomic Layer Deposition for Thin Deposit Formation in a Mesoporous Substrate”. AIChE J. 67. John Wiley & Sons, Inc.: e17305. Publisher’s Version: Numerical simulation of atomic layer deposition for thin deposit formation in a mesoporous substrate.

Dietrich, Felix, Mahdi Kooshkbaghi, Erik M. Bollt, and IoannisG. Kevrekidis. 2018. “Manifold Learning for Bifurcation Diagram Observations”. arXiv.Org, E-Print Arch., Phys.. Cornell University Library, 1-5. Publisher’s Version: Manifold learning for bifurcation diagram observations.

Holiday, Alexander, Mahdi Kooshkbaghi, Juan M. Bello-Rivas, C. William Gear, Antonios Zagaris, and IoannisG. Kevrekidis. 2019. “Manifold Learning for Parameter Reduction”. J Comput Phys 392: 419-31. Publisher’s Version: Manifold learning for parameter reduction.