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Publications

Peer-reviewed research in background-oriented schlieren imaging, biomimetic aerodynamics, and experimental fluid dynamics.

Publications

01
2024International Journal of Sciences: Basic and Applied Research (IJSBAR)

Real-Time Adaptive Background-Oriented Schlieren Imaging Algorithm with Spatiotemporal Variability Using Computer Vision and Particle Image Velocimetry

Dhruv Hegde, Tejash Gupta, Vikram Haran

Advanced BOS computational system integrating wavelet transformations, Kalman filtering, and adaptive CLAHE contrast enhancement. Demonstrated 30.6% improvement in edge detection sensitivity, 12.5% in resolution enhancement, and 11% in noise reduction versus OpenCV/OpenPIV baselines — enabling real-time mobile fluid flow visualization.

+30.6% edge-detection sensitivity vs. OpenCV/OpenPIV baseline
+12.5% resolution enhancement via multi-scale wavelet analysis
+11% noise reduction with Kalman-filtered reconstruction
Real-time performance on mobile hardware
BOS ImagingComputer VisionPIVWaveletsKalman Filtering
02
2024International Journal of Computing and EngineeringDOI

Biomimetic Airfoil Optimization to Supplement Flight Efficiency in Unmanned Aerial Vehicles

Dhruv Hegde

Full-stack simulation and experimental framework for optimizing biomimetic airfoil geometries on scaled wind-tunnel platforms — integrating embedded sensor feedback, CFD models, and iterative physical testing to improve UAV flight efficiency in low-Reynolds-number regimes.

+19.4% flight efficiency across CFD + wind-tunnel validation
Feathered wing modules modeled as biomimetic vortex dividers
Validated across Re 50,000–500,000 (low-Reynolds-number regime)
Novel morphing airfoil system with servo/rotary actuation
AerodynamicsBiomimetic DesignUAVCFDNASA
03
2023International Journal of Innovative Science and Research Technology (IJISRT)DOI

Investigating the Influence of Wavelength-Specific Textured Backgrounds in Background Oriented Schlieren (BOS) Imaging

Dhruv Hegde

Investigation of wavelength-specific textured background patterns in BOS imaging systems — analyzing spatiotemporal variability, contrast optimization, and background selection criteria for improved schlieren visualization in experimental fluid dynamics.

Peak SNR = 22.8 at 550nm textured background wavelength
Peak gradient magnitude G = 52.3 (Sobel operator) at 550nm
Findings align with Bayer-filter green-channel sensitivity
Swept 400–670nm in 30nm increments across repeated trials
BOS ImagingSchlierenComputer VisionFluid Dynamics

Patents

2024provisional

Real-Time Adaptive Background-Oriented Schlieren Imaging for Aerospace Flow Visualization

Provisional patent for adaptive BOS imaging system with spatiotemporal variability compensation, wavelet-based edge detection, and Kalman-filtered turbulence field reconstruction for aerospace applications.

Inventors: Dhruv Hegde, Tejash Gupta, Vikram Haran

Full record on Scholar & ResearchGate

Citation counts, related work, and co-author networks are kept current on Google Scholar and ResearchGate rather than duplicated here.