I'm an Aerospace Navigation and Data Science specialist pioneering the integration of Artificial Intelligence with space technology to revolutionize space exploration, satellite systems, and autonomous spacecraft.
EXPLORE THE COSMOSMy journey began with a childhood fascination for the stars that evolved into a passion for developing intelligent systems capable of navigating the cosmos. As an Aerospace Navigation specialist, I focus on applying cutting-edge AI and Data Science to solve the most complex challenges in space technology.
This portfolio showcases projects where I combine aerospace engineering principles with machine learning, computer vision, neural networks, and data analytics to create innovative solutions for next-generation space exploration.
I envision a future where intelligent systems autonomously navigate the complexities of space with unprecedented precision, enabled by advanced data science techniques.
In the vast expanse of space, data is the new frontier. As a Data Scientist specializing in aerospace applications, I transform terabytes of cosmic information into actionable intelligence that drives innovation in space exploration.
My expertise bridges the gap between complex space systems and advanced analytics, enabling spacecraft to make intelligent decisions in real-time using predictive models and pattern recognition.
Forecasting spacecraft trajectories, orbital decay, and equipment failure using time-series analysis and ML models.
Integrating multi-source sensor data to create accurate spatial awareness for autonomous navigation.
Identifying celestial patterns and anomalies in astronomical datasets using computer vision and deep learning.
Processing and analyzing spacecraft telemetry data to optimize performance and detect anomalies.
An AI system enabling satellites to autonomously navigate and avoid space debris using real-time computer vision and reinforcement learning algorithms.
Machine learning models predicting solar flares and cosmic radiation patterns to protect spacecraft and astronauts from hazardous space weather.
Machine learning algorithms that optimize spacecraft trajectories for interplanetary missions while minimizing fuel consumption and mission duration.
Neural network system enabling Mars rovers to autonomously navigate challenging terrain and identify scientific targets with minimal human intervention.
Advanced data pipeline and ML algorithms for identifying exoplanets from telescope light curve data with 98% accuracy.
Deep learning system for automatic classification of celestial objects in telescope imagery, accelerating astronomical discovery.
My fascination with space began during high school when I built my first telescope and started mapping celestial objects. This period ignited my passion for aerospace and navigation systems.
Began my Aerospace Engineering degree with a focus on orbital mechanics. Developed my first satellite trajectory simulation software and won the university's space innovation award.
Discovered the potential of AI and Data Science in solving complex space navigation problems. Trained in machine learning, neural networks, and big data analytics, developing my first AI-assisted navigation prototype.
Selected for a competitive internship at NASA's Jet Propulsion Laboratory. Worked on AI algorithms for Mars rover path planning and developed data pipelines for telemetry analysis.
Pursued advanced research in autonomous spacecraft navigation and space data science. Published papers on reinforcement learning for satellite management and cosmic pattern recognition.
Developing next-generation AI navigation systems and data science frameworks for deep space missions. Creating intelligent spacecraft capable of interstellar travel and cosmic data analysis.
14/12/2024
Arab Republic of Egypt
10042WORKSHOP
International Quality Organization
etaha1287@gmail.com
Space telemetry analytics and cosmic pattern recognition
Developing AI navigation for deep space probes
Open to research partnerships and space tech ventures