Andrey Kuznetsov

Professor

  • Phone: (919) 515-5292
  • Office: Engineering Building III (EB3) 3258

Dr. Kuznetsov is interested in developing models of electrically charged monolith filters capable of capturing viruses.

At the graduate level, Dr. Kuznetsov teaches Heat Transfer Theory and Applications (MAE 505) and Advanced Convective heat Transfer (MAE 708). In both of these courses, he presents real-life problems that have unexpected solutions. For example, he once told his students the true story of a problem that several Cosmonauts faced when first arriving at an uninhabited space station. The station was without power and its interior was very cold. They needed to know precisely the temperature in the station but did not have any devices to measure temperature. So, one of the Cosmonaut’s spit on a wall and measured with a watch the time it took for it to freeze. Stories like this demonstrate how physical principles solve problems in unexpected ways and bring the material to life.

At the undergraduate level, Dr. Kuznetsov teaches Fluid Mechanics I (MAE 308) and Heat Transfer (MAE 310). He complements the fundamental treatment with videos showing different effects and a lot of modern topics, like a discussion on why biological cells dehydrate when they freeze and the wonderful properties of superfluid liquid helium.

Dr. Kuznetsov’s students, like himself, are more than anything else obsessed with modeling fluid-thermal systems, which fosters a stimulating research environment. In fact, Dr. Kuznetsov’s graduate students, after first working with him, are often surprised and pleased to discover that he treats them as colleagues. They enjoy an atmosphere of stimulating discussions on competing ideas. The biotechnology focus of the research also makes the subject particularly interesting.

Outside of work, Dr. Kuznetsov spends time with his family.

Publications

Hydrodynamic dispersion drives viral-cellular contact for gene delivery in porous media
Srikanth, V., Mallory, M., Ulmer, A. J., Legant, W. R., Kuznetsov, A. V., & Brudno, Y. (2026, January 16), BioRxiv (Cold Spring Harbor Laboratory), Vol. 1. https://doi.org/10.64898/2026.01.15.699726
Investigating a Relation between Amyloid Beta Plaque Burden and Accumulated Neurotoxicity Caused by Amyloid Beta Oligomers
Kuznetsov, A. V. (2026, April 10), BioRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.64898/2026.04.07.717091
Mathematical Modeling of AA Amyloidosis: Coupling SAA-HDL Binding Dynamics with Path-Dependent Renal Aging
Kuznetsov, A. V. (2026), https://doi.org/10.64898/2026.02.19.706923
Modeling the growth of cytosolic TDP-43 inclusion bodies and accumulated neurotoxicity of misfolded oligomers in neurons
Kuznetsov, A. V. (2026), Computer Methods in Biomechanics and Biomedical Engineering, 2, 1–28. https://doi.org/10.1080/10255842.2026.2618583
Scale Collapse of Vortices at Porous-Fluid Interfaces
Courter, J., Srikanth, V., Kemayo, T., & Kuznetsov, A. V. (2026), In Open MIND (ArXiv Preprint No. 2601.10396). https://doi.org/10.48550/arxiv.2601.10396
A criterion characterizing accumulated neurotoxicity of Aβ oligomers in Alzheimer's disease
Kuznetsov, A. V. (2025, March 1), Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Vol. 3. https://doi.org/10.1098/rspa.2024.0652
Convolution Neural Network Model Framework to Predict Microscale Drag Force for Turbulent Flow in Porous Media
Srikanth, V., & Kuznetsov, A. V. (2025, August 23), Transport in Porous Media, Vol. 8. https://doi.org/10.1007/s11242-025-02209-w
Criterion for Assessing Accumulated Neurotoxicity of Alpha‐Synuclein Oligomers in Parkinson's Disease
Kuznetsov, A. V. (2025, April 1), International Journal for Numerical Methods in Biomedical Engineering, Vol. 4. https://doi.org/10.1002/cnm.70027
D. A. Nield (April 26, 1935–May 25, 2024): A Scientific Memoir
Simmons, C. T., Kuznetsov, A. V., & Rees, D. A. S. (2025, October 16), Transport in Porous Media, Vol. 10. https://doi.org/10.1007/s11242-025-02230-z
Determination of the Applied Thermal Tortuosity of Porous Media Using a Neural Network Model,
Jin, Y., Kuznetsov, A. V., & Speerforck, A. (2025), Thermodynamik-Kolloquium. Presented at the Thermodynamik-Kolloquium, Hamburg, Germany.

View all publications via NC State Libraries

Andrey Kuznetsov