Publication Highlights

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Gradient-Enhanced Partitioned Gaussian Processes for Real-Time Quadrotor Dynamics Modeling

A novel gradient-enhanced Gaussian process approach to improve the accuracy and speed of quadrotor flight dynamics modeling, enabling high-fidelity real-time simulations. CHARM, a mid-fidelity rotorcraft solver was used to generate values and derivatives of forces, moments, and noise at thousands of operating points using Latin Hypercube Sampling to train this model.

L. Sang, A. Rozman, S. Grace, R. Tron


Preprint (Pending Publication)

Prediction of performance and noise of a small quadrotor using CHARM

A study utilizing CHARM, a mid-fidelity rotorcraft solver to predict the aerodynamic performance and acoustic signature of small-scale quadrotor vehicle. A parameter sensitivity study is presented and the best model results are validated against experimental benchmarks, capturing trends in performance but underpredicting downstream noise.

A. Rozman, E. Macrae-Sadek, M. Cable, D. Gardner, S. Grace


AIAA SciTech Forum (2026)

Evaluation of Urban-Flow-Informed Gusts on eVTOL Vertiport Approach Acoustics

An investigation of how turbulent urban wind environments and gusts impact the noise levels of eVTOL aircraft during the critical approach phase to vertiports. ROAM, a actuator-line model within CREATE-AV Helios was used for computationally efficiency while resolving blade-vortex interaction for a gust with a timescale of tens of revolutions.

A. Rozman, S. Grace


AIAA Aviation Forum (2025)

A Machine Learning Model for Rotor Blade Efficiency Prediction

Development of a machine learning framework designed to rapidly predict rotor blade efficiency, streamlining the design process for next-generation rotorcraft. RCAS, a mid-fidelity took was used to predict the performance for thousands of blades generated by perturbing parameterizations of 12 baseline geometries using Principal Component Analysis.

C. Hess, A. Rozman, P. Anusonthi-Inthra, R. Healy


AIAA Aviation Forum (2025)

Evaluating the Permeable Surface Approach for Wing-Propeller Aeroacoustics Using High-Fidelity CFD

An evaluation of the permeable surface method in CFD for capturing complex aeroacoustic interactions between wings and propellers in distributed electric propulsion systems. An investigation of turbulence models and their laminar-to-turbulent transition extension models for this configuration is presented, exhibiting problems with the laminar-turbulence transition models for modeling a fully turbulent wing and a transitional flow propeller.

A. Rozman, Z. H. Jia, S. A. Tran, S. Grace


VFS Aeromechanics Specialists’ Conf (2024)

Investigating Ground Interactions of a Rotorcraft Landing Vehicle on Titan

An undergraduate honors thesis exploring the unique aeromechanical challenges of landing a rotorcraft on Saturn’s moon, Titan, focusing on ground-effect interactions. The propellers were modeled using actuator disk simplifications, and ground shear stress and two-phase particle kickup simulations were run.

A. Rozman


Honors Undergraduate Thesis (2022)

Full List of publications

Gradient-Enhanced Partitioned Gaussian Processes for Real-Time Quadrotor Dynamics Modeling
L. Sang, A. Rozman, S. Grace, R. Tron
Preprint (Pending Publication)

Prediction of performance and noise of a small quadrotor using CHARM
A. Rozman, E. Macrae-Sadek, M. Cable, D. Gardner, S. Grace
AIAA SciTech Forum (2026)

Evaluation of Urban-Flow-Informed Gusts on eVTOL Vertiport Approach Acoustics
A. Rozman, S. Grace
AIAA Aviation Forum (2025)

A Machine Learning Model for Rotor Blade Efficiency Prediction
C. Hess, A. Rozman, P. Anusonthi-Inthra, R. Healy
AIAA Aviation Forum (2025)

Evaluating the Permeable Surface Approach for Wing-Propeller Aeroacoustics Using High-Fidelity CFD
A. Rozman, Z. H. Jia, S. A. Tran, S. Grace
VFS Aeromechanics Specialists’ Conf (2024)

Investigating Ground Interactions of a Rotorcraft Landing Vehicle on Titan
A. Rozman
Honors Undergraduate Thesis (2022)

A minimally invasive, micromilled, microneedle flexible patch array (μNFPA) for transdermal hydration sensing”
A. Kundu, S. Langevin, A. Rozman, and S. Rajaraman
Journal of Micromechanics and Microengineering (2021)

Development of a 3D Printed, Self-Insulated, High-Throughput 3D Microelectrode Array (HT-3DMEA)
A. Kundu, A. Rozman, and S. Rajaraman
Journal of Microelectromechanical Systems (2020)