Ali Khalvandi

/ALI K/

Grad Research Asst Fellowship, Faculty of Engineering - Mechanical Engineering Dept

Pronouns: He/Him

Personal Website: https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=rw9BBgQAAAAJ

Contact Overview Publications Links

Contact

Grad Research Asst Fellowship, Faculty of Engineering - Mechanical Engineering Dept

Email: khalvand@ualberta.ca

Overview

Area of Study / Keywords

Molecular Dynamics Simulation Gene Delivery Supervised Learning Biomaterials Biomedicine Porous Biomaterials

About

I am ALI KHALVANDI, a Graduate Research Assistant in Mechanical Engineering at the University of Alberta, where I pursue advancements in Computational Biology, siRNA Delivery, and Supervised Learning. My research focuses on developing biomaterials, specifically enhancing siRNA delivery systems, under the supervision of Dr. Tian Tang and Dr. Hasan Uludag.

By now, I have co-authored over 10 peer-reviewed publications in prestigious journals, including Biomaterials Advances, International Journal of Biological Macromolecules, International Journal of Mechanical Sciences, Advanced Engineering Materials, and Heliyon.

My academic journey includes serving as a Research and Teaching Assistant in the Department of Mechanical Engineering and Composites Research Laboratory (CRLab) at the Amirkabir University of Technology, where I contributed to the development of advanced computational models for porous biomaterials.

For a comprehensive overview of my research and publications, please visit my profiles on Google Scholar and ResearchGate to explore my most recent research contributions.

Research

I am currently conducting research at the University of Alberta focused on the computational modeling of gene delivery systems. My work primarily involves Coarse-Grained (CG) and All-Atom (AA) Molecular Dynamics (MD) simulations.

Featured Publications

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, JungIl Song

Advanced Engineering Materials. 2025 January; 10.1002/adem.202402157

Flexural analysis of 3D-printed sandwich beams with chiral cores using deep neural networks and response surface methodology

Saeed Kamarian, Ali Khalvandi, Ehsan Heidarizadi, Saeed Saber-Samandari, Jung-il Song

Mechanics of Advanced Materials and Structures. 2024 December; 10.1080/15376494.2024.2418975

On the flammability and mechanical responses of abaca-reinforced composites: a machine learning-oriented approach

Ali Khalvandi, Saeed Kamarian, Reza Barbaz-Isfahani, Saeed Saber-Samandari, Jung-Il Song

Smart Science. 2024 November; 10.1080/23080477.2024.2427441

A supervised learning-assisted multi-scale study for thermal and mechanical behavior of porous Silica

Ali Khalvandi, Saeed Saber-Samandari, Mohammad Mohammadi Aghdam

Heliyon. 2024 April; 10.1016/j.heliyon.2024.e28995

Prediction and optimization of 3D-printed sandwich beams with chiral cores

Saeed Kamarian, Ali Khalvandi, Ehsan Heidarizadi, Saeed Saber-Samandari, Jung-il Song

International Journal of Mechanical Sciences. 2024 January; 10.1016/j.ijmecsci.2023.108747

Data-driven supervised machine learning to predict the compressive response of porous PVA/Gelatin hydrogels and in-vitro assessments: Employing design of experiments

Ali Khalvandi, Lobat Tayebi, Saeed Kamarian, Saeed Saber-Samandari, Jung-il Song

International Journal of Biological Macromolecules. 2023 December; 10.1016/j.ijbiomac.2023.126906

Synergistic effects of egg shell powder and halloysite clay nanotubes on the thermal and mechanical properties of abacá/polypropylene composites

Reza Barbaz-Isfahani, Ali Khalvandi, Thanh Mai Nguyen Tran, Saeed Kamarian, Saeed Saber-Samandari, Jung-il Song

Industrial Crops and Products. 2023 December; 10.1016/j.indcrop.2023.117498

Predicting ESP and HNT effects on the mechanical properties of eco-friendly composites subjected to micro-indentation test

Saeed Kamarian, Ali Khalvandi, Thanh Mai Nguyen Tran, Reza Barbaz-Isfahani, Saeed Saber-Samandari, Jung-Il Song

Advances in nano research. 2023 October; 10.12989/ANR.2023.15.4.315

Fabrication, experimental study, and 2-D finite element computational homogenization of bone scaffolds under uniaxial and biaxial compressive loadings

Ali Khalvandi, Mohammad Mohammadi Aghdam, Saeed Saber-Samandari

Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanomaterials, Nanoengineering and Nanosystems. 2022 September; 10.1177/23977914221082900

Application of artificial neural networks to predict Young's moduli of cartilage scaffolds: An in-vitro and micromechanical study

Biomaterials Advances. 2022 January; 10.1016/j.bioadv.2022.212768

Micromechanical Modeling of Gelatin-Based Nano-Composite Bone Scaffolds

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME). 2020 November; 10.1109/icbme51989.2020.9319423

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