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

An analytical solution simulating growth of Lewy bodies
Kuznetsov, I. A., & Kuznetsov, A. V. (2022, June 2), MATHEMATICAL MEDICINE AND BIOLOGY-A JOURNAL OF THE IMA. https://doi.org/10.1093/imammb/dqac006
Bidirectional, unlike unidirectional transport, allows transporting axonal cargos against their concentration gradient
Kuznetsov, I. A., & Kuznetsov, A. V. (2022), JOURNAL OF THEORETICAL BIOLOGY. https://doi.org/10.1016/j.jtbi.2022.111161
Can the lack of fibrillar form of alpha-synuclein in Lewy bodies be explained by its catalytic activity?
Kuznetsov, I. A., & Kuznetsov, A. V. (2022), MATHEMATICAL BIOSCIENCES. https://doi.org/10.1016/j.mbs.2021.108754
Prediction of pore-scale-property dependent natural convection in porous media at high Rayleigh numbers
Gasow, S., Kuznetsov, A. V., & Jin, Y. (2022), INTERNATIONAL JOURNAL OF THERMAL SCIENCES. https://doi.org/10.1016/j.ijthermalsci.2022.107635
The evolution of turbulent micro-vortices and their effect on convection heat transfer in porous media
Huang, C.-W., Srikanth, V., & Kuznetsov, A. V. (2022), JOURNAL OF FLUID MECHANICS. https://doi.org/10.1017/jfm.2022.291
A macroscopic two-length-scale model for natural convection in porous media driven by a species-concentration gradient
Gasow, S., Kuznetsov, A. V., Avila, M., & Jin, Y. (2021), JOURNAL OF FLUID MECHANICS. https://doi.org/10.1017/jfm.2021.691
Simulation of a sudden drop-off in distal dense core vesicle concentration in Drosophila type II motoneuron terminals
Kuznetsov, I. A., & Kuznetsov, A. V. (2021, September 8), INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING. https://doi.org/10.1002/cnm.3523
Symmetry breaking of turbulent flow in porous media composed of periodically arranged solid obstacles
Srikanth, V., Huang, C.-W., Su, T. S., & Kuznetsov, A. V. (2021), JOURNAL OF FLUID MECHANICS. https://doi.org/10.1017/jfm.2021.813
Effects of pore scale on the macroscopic properties of natural convection in porous media
Gasow, S., Lin, Z., Zhang, H. C., Kuznetsov, A. V., Avila, M., & Jin, Y. (2020), JOURNAL OF FLUID MECHANICS, 891. https://doi.org/10.1017/jfm.2020.164
How old are dense-core vesicles residing in en passant boutons: simulation of the mean age of dense-core vesicles in axonal arbours accounting for resident and transiting vesicle populations
Kuznetsov, I. A., & Kuznetsov, A. V. (2020), PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 476(2241). https://doi.org/10.1098/rspa.2020.0454

View all publications via NC State Libraries

Grants

  • A microscale study of turbulent flow in the porous medium and at the porous/fluid interface: combining LES, DNS, and Neural Network approaches
  • EAGER: Exploratory Research on DNS Modeling of Turbulent Heat Transfer in Porous Media
  • COMPUTATIONAL INVESTIGATION AND OPTIMIZATION OF MONOLITH FILTERS FOR AIR FILTRATION AND PURIFICATION TO COUNTERACT A POTENTIAL BACTERIOLOGICAL TERRORIST ATTACK
  • Simulation of Unsteady Reacting Flows in Pulsejets with Ejectors
  • Modeling of Flow Containing Nanoparticles Through Electrostatically Charged Monolith Filters
  • Enhancing Mixing in Micro Volumes of Fluid by Utilizing Bioconvection
Andrey Kuznetsov