I work at the intersection of coastal remote sensing, satellite-derived bathymetry, geospatial AI, and scientific software engineering.

My work focuses on extracting and modelling shallow-water depth, coastal morphology, and seabed information from satellite observations and complementary geospatial datasets.

My approach combines:

Physical understanding + Remote Sensing + Spatial Statistics + Machine Learning

rather than treating ML as a black box.

Alexandria University · 2020–2025

Thesis:
Comparative Assessment of Advanced Near-Shore Satellite Derived Bathymetry Techniques: Case Studies from the Egyptian Mediterranean Basin

• Poursanidis, Nasef & Alevizos (2026). Democratizing Bathymetry from Space: The QGIS Bathymetrix-AI Toolbox. — Under review
• Nasef et al. (2024). Best Practices in ML for Near-Shore Bathymetry Modeling. Benha Journal of Applied Sciences, 9(5), 49–56. DOI

Bathymetrix-AI v7.2 · Water-Masking v1.0 · coastERA-Toolkit v1.2

Marine Technical Office Engineer

My engineering background provides a practical connection between geospatial research, marine infrastructure, surveying, and real-world coastal applications.

I'm interested in technically challenging projects involving:

Satellite Derived Bathymetry · Coastal Remote Sensing · Geospatial AI · Coastal Monitoring · Satellite Data Fusion · Scientific Geospatial Software

Especially projects that move from:

Research → Algorithm → Software → Operational System

LinkedIn: Mohamed Aly Nasef
GitHub: Nasef2017
Email: Eng.m.nasef2017@gmail.com

Building computational methods for understanding shallow-water environments from space.