Journal Articles

2024

Kearney, G. M., Laurent, K. M., & Kearney, R. V. (2024). Maximum likelihood filtering for particle tracking in turbulent flows. Experiments in Fluids, 65(2), 24.

2022

Laurent, K., La Ragione, L., Jenkins, J. T., & Bewley, G. P. (2022). How vertical oscillatory motion above a saturated sand bed leads to heap formation. Physical Review E, 105(5), 054901.

2021

Laurent, K., Fogg, B., Ginsburg, T., Halverson, C., Lanzone, M., Miller, T., Winkler, D. & Bewley, G. P. (2021). Turbulence explains the accelerations of an eagle in natural flight. Proceedings of the National Academy of Sciences, 118(23).

2021

Kelly, S. W., Vartabedian, T. M., Gist, E. D., & Glauser, M. N. (2021). Neural network noise prediction for a complex supersonic rectangular jet nozzle. In AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021 (pp. 1-10). American Institute of Aeronautics and Astronautics Inc, AIAA.

Gist, E. D., Kelly, S., Vartabedian, T., Chatterjee, R., Doshi, P. S., Glauser, M. N., & Gaitonde, D. V. (2021). Effects of Geometric Modifications on a Complex Multi-Stream Supersonic Rectangular Nozzle. In AIAA Scitech 2021 Forum (p. 1559).

Kelly, S., Vartabedian, T., Gist, E. D., & Glauser, M. N. (2021). Neural Network Flow Prediction for a Complex Supersonic Rectangular Nozzle. In AIAA Scitech 2021 Forum (p. 1691).

Doshi, P. S., Ranjan, R., Liu, Q., Gist, E. D., Gaitonde, D. V., & Glauser, M. N. (2021). Toward a passive control strategy for a supersonic multi-stream flow using resolvent analysis. In AIAA Scitech 2021 Forum (p. 1557).

2020

Tenney, A. S., Glauser, M. N., Ruscher, C. J., & Berger, Z. P. (2020). Application of artificial neural networks to stochastic estimation and jet noise modeling. AIAA journal.

Gist, E. D., Doshi, P. S., Kelly, S. W., Gaitonde, D. V., & Glauser, M. N. (2020). Exploratory Passive Control Study of a Supersonic Multi-Stream Nozzle Flow. In AIAA AVIATION 2020 FORUM (p. 2952).

Wang, N., DiDominic, D., Vartabedian, T. M., Sanyal, A. K., & Glauser, M. N. (2020). Interactions Between Upstream Turbulent Flow and Quadrotor Thruster Dynamic Performance. In AIAA Scitech 2020 Forum (p. 1508).

DiDominic, D., Gist, E., Fitzgerald, J., & Glauser, M. N. (2020). Complex Nozzle Optimization Techniques using Machine Learning. In AIAA Scitech 2020 Forum (p. 1866).

2019

Tenney, A. S., Glauser, M. N., & Berger, Z. P. (2019). Stochastic estimation using modern methods in machine learning. In AIAA Scitech 2019 Forum (p. 0324).

Ruscher, C. J., Gogineni, S., Tenney, A. S., & Glauser, M. N. (2019). Jet noise prediction via low-order machine learning. In AIAA Scitech 2019 Forum (p. 0547).

2018

Ruscher, C. J., Magstadt, A. S., Berry, M. G., Glauser, M. N., Shea, P. R., Viswanath, K., Corrigan, A., Gogineni, S., Kiel, B. V., & Giese, A. J. (2018). Investigation of a supersonic jet from a three-stream engine nozzle. AIAA journal, 56(4), 1554-1568.

Velarde, J. M., Connors, J. N., Berry, M., Ali, M. Y., & Glauser, M. N. (2018). Experimental Characterization of UAS Flow Fields Through Hotwire Anemometry and PIV. In 2018 Applied Aerodynamics Conference (p. 4121).

Tenney, A. S., Glauser, M. N., & Lewalle, J. (2018). A deep learning approach to jet noise prediction. In 2018 AIAA Aerospace Sciences Meeting (p. 1736).

Ruscher, C. J., Gogineni, S. P., Magstadt, A. S., Berry, M. G., & Glauser, M. N. (2018). Data Fusion to Improve Supersonic Jet Data. In 2018 AIAA Aerospace Sciences Meeting (p. 1735).

Magstadt, A. S., & Glauser, M. N. (2018). Stereo PIV Measurements in a Multi-stream, Rectangular, Supersonic Jet. In 2018 AIAA Aerospace Sciences Meeting (p. 0054).

LATEST NEWS

01.16.2025 – Undergraduate student Sona Flask joins the lab! Her SOURCE-funded project aims to understand how textured surfaces which mimic shark skin can reduce drag.
11.25.2024 – PhD student Adhip Gupta presents his work at the APS Division of Fluid Dynamics conference. Read the abstract here
10.18.2024 – In collaboration with Dr. Lui, Dr. Laurent receives funding from SOURCE for undergraduate research for Spring – Fall 2025. Learn more about the project and how to get involved here!
08.05.2024 – Dr. Laurent presents Birds, Planes, & Aerodynamics at the Rosamond Gifford Zoo.
07.16.2024 – Dr. Laurent volunteers for TACNY’s Summer STEM Trekker Program. Read more about it on our “Outreach” page!
06.03.2024 – Undergraduate student Maximilian joins the lab for a summer REU-funded project! This project aims to develop an experimental setup for measuring the forces on a flapping wing.
06.03.2024 – Undergraduate student Joshua Varkey joins the lab! His SOURCE-funded project aims to design and analyze flow visualization techniques for a low-speed water tunnel.
02.15.2024 – Dr. Laurent receives funding from SOURCE for undergraduate research for Summer & Fall 2024. Learn more about the project and how to get involved here!
02.07.2024 – Dr. Laurent’s collaborative work with local company OpB Data Insights is published in Experiments in Fluids. Read the article here
01.20.2024 – Dr. Laurent presents Birds of Prey in Flight: Exploring the Aerodynamics of Birds of Prey at the Museum of Science and Technology in Syracuse.
12.11.2023 – Dr. Laurent presents her research at Clarkson University’s Mechanical & Aerospace Engineering Graduate Seminar
08.28.2023 – Undergraduate student Kazi joins the lab! His research project examines drag-reduction in car designs.
01.17.2023 – Undergraduate students Sophia and Alex join the lab! Their SOURCE funded project examines how fish bodies reduce drag.
09.29.2023 – Dr. Laurent receives funding from SOURCE for undergraduate research. Learn more about the project and how to get involved here!
08.29.2022 – Undergraduate student Cody joins the lab! His research project examines optimal flapping patterns in manta-inspired robots.
08.22.2022 – Dr. Laurent arrives at Syracuse University to start her role as an Assistant Professor.
03.10.2023 – Dr. Laurent presents her research at Syracuse University’s Mechanical & Aerospace Engineering Graduate Seminar
03.02.2022 – An interview with Dr. Laurent is published in BBC Wildlife – read the article here

JOIN OUR TEAM!

There are open opportunities for PhD and master students. Highly motivated undergraduate students are encouraged to reach out as well. Please email your CV with a brief introduction to klaurent@syr.edu