- 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.
Mechanical Engineering Research Institute, Russian Academy of Sciences
Moscow State University
Bauman Moscow State Technical University
Dr. Kuznetsov's long term goal is to further the advancement of modeling fluid-thermal systems. Presently, Dr. Kuznetsov is developing models of electrically charged monolith filters capable of capturing viruses and he is developing a mechanistic model of neuron deterioration in Alzheimer patients. In MAE, Dr. Kuznetsov collaborates with Dr. Roberts and Dr. Ro.
- 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
- 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
- Modeling tau transport in the axon initial segment
- Kuznetsov, I. A., & Kuznetsov, A. V. (2020), MATHEMATICAL BIOSCIENCES, 329. https://doi.org/10.1016/j.mbs.2020.108468
- Numerical Modeling of Momentum Dispersion in Porous Media Based on the Pore Scale Prevalence Hypothesis
- Rao, F., Kuznetsov, A. V., & Jin, Y. (2020), TRANSPORT IN POROUS MEDIA. https://doi.org/10.1007/s11242-020-01423-y
- A Novel Porcine Model for the Study of Cerebrospinal Fluid Dynamics: Development and Preliminary Results
- Fleischman, D., Kaskar, O., Shams, R., Zhang, X., Olson, D., Zdanski, C., … Lee, Y. Z. (2019), FRONTIERS IN NEUROLOGY, 10. https://doi.org/10.3389/fneur.2019.01137
- A Numerical Study of Sensitivity Coefficients for a Model of Amyloid Precursor Protein and Tubulin-Associated Unit Protein Transport and Agglomeration in Neurons at the Onset of Alzheimer's Disease
- Kuznetsov, I. A., & Kuznetsov, A. V. (2019), JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 141(3). https://doi.org/10.1115/1.4041905
- Identifying the Critical Factors Governing Translaminar Pressure Differential Through a Compartmental Model
- Kaskar, O. G., Fleischman, D., Lee, Y. Z., Thorp, B. D., Kuznetsov, A. V., & Grace, L. (2019), INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 60(8), 3204–3214. https://doi.org/10.1167/iovs.18-26200
- Investigating sensitivity coefficients characterizing the response of a model of tau protein transport in an axon to model parameters
- Kuznetsov, I. A., & Kuznetsov, A. V. (2019), COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 22(1), 71–83. https://doi.org/10.1080/10255842.2018.1534233
- A microscale study of turbulent flow in the porous medium and at the porous/fluid interface: combining LES, DNS, and Neural Network approaches
- National Science Foundation (NSF)(1/01/21 - 12/31/23)
- EAGER: Exploratory Research on DNS Modeling of Turbulent Heat Transfer in Porous Media
- National Science Foundation (NSF)(8/15/16 - 7/31/20)
- COMPUTATIONAL INVESTIGATION AND OPTIMIZATION OF MONOLITH FILTERS FOR AIR FILTRATION AND PURIFICATION TO COUNTERACT A POTENTIAL BACTERIOLOGICAL TERRORIST ATTACK
- NATO Programme for Security Through Science, The(7/27/11 - 7/31/14)
- Simulation of Unsteady Reacting Flows in Pulsejets with Ejectors
- National Aeronautics & Space Administration (NASA)(6/01/08 - 9/30/09)
- Modeling of Flow Containing Nanoparticles Through Electrostatically Charged Monolith Filters
- Defense Threat Reduction Agency (DTRA)(1/31/08 - 12/30/11)
- Enhancing Mixing in Micro Volumes of Fluid by Utilizing Bioconvection
- NATO Programme for Security Through Science, The(4/18/05 - 12/31/07)