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6 contributions · 4 conferences

Conference Presentations

Talks, posters, and papers presented at international conferences, 2023–2025

Contributions per conference

First-author and co-authored talks/posters

AGU 2024
1
WHISPERS 2023
1
IAC 2024
1
IAC 2025
3
AGU Fall Meeting 2024 · Washington, D.C., USA

December 2024

AGU 2024

Enhancing UAV-Based Shallow Water Monitoring with Fluid Lensing: Color Transfer and Averaging Methods

Poster H23J-1139 · Washington, D.C., USA

UAV video color-transfer and frame-averaging pipeline for correcting caustics and sun glint over Red Sea coral lagoons — the precursor study to the JSTARS journal paper.

First author
WHISPERS 2023 · Athens, Greece

2023

WHISPERS 2023

Geometric Correction of the KAUSTSat Hyperspectral CubeSat: Preliminary Assessment and Results

Poster · Athens, Greece

AROSICS-based co-registration workflow to geometrically align KAUSTSat's hyperspectral bands — cut RMSE from 85.7 m to 12.7 m and boosted mean SSIM from 0.55 to 0.87.

First author
75th International Astronautical Congress (IAC 2024) · Milan, Italy

October 2024

IAC 2024

ArabiaEye: Enhancing Earth Observation Missions with a Novel Small Satellite Constellation and Advanced Data Fusion Techniques — A Case Study on Oil Spill Detection

Paper · 31st IAA Symposium on Small Satellite Missions · Milan, Italy · First author: Peter Schulte

A small-satellite constellation concept paired with advanced data-fusion techniques, evaluated through an oil-spill detection case study.

Co-author
76th International Astronautical Congress (IAC 2025) · Sydney, Australia

October 2025

IAC 2025

Operational Challenges During the KAUST Hyperspectral CubeSat Mission

Paper IAC-25-B6-3-5 · Sydney, Australia

Lessons from ~500 days operating KAUSTSat — orbit propagation with STK, TDI/exposure tuning over reflective desert, bandwidth-limited downlink, and an early re-entry likely driven by elevated solar activity.

First author
IAC 2025

Enhancing Oil Spill Detection in SAR Imagery: GAN-Based Data Augmentation for Deep Learning Segmentation Models

Paper IAC-25-B1-8-10 · Sydney, Australia

A GAN trained on just 17 real SAR oil-spill patches generates ~2,000 synthetic image-mask pairs; segmentation models trained purely on that synthetic data reach ~0.9 mIoU on real Sentinel-1 imagery.

First author
IAC 2025

Super-Resolution Reconstruction of KAUST CubeSat Hyperspectral Data from Low-Resolution Thumbnails

Paper · Sydney, Australia

Reconstructing higher-resolution hyperspectral scenes from KAUSTSat's onboard low-resolution thumbnail previews.

Co-author

The last entry above is listed on Google Scholar under 2025 IAF proceedings; its full text wasn't available to cross-check author order or abstract, so treat those details as approximate until confirmed.