🌍 Space and Astronautics Engineer | SciML Researcher | Nonlinear Dynamics

Welcome to my GitHub! I am a Ph.D. researcher at Sapienza University of Rome, specializing in applying deep learning and AI techniques to solve complex challenges in aerospace engineering, damage detection, and nonlinear dynamical systems. With a background in aerospace and space engineering, I am passionate about advancing space exploration, Earth observation, and AI-driven technologies.

• Ph.D. Research: Deep learning techniques for damage detection in nonlinear dynamical systems.
• AI in Aerospace: Optimizing satellite algorithms and applying AI for Earth observation and data compression.
• Satellite Dynamics: Vibrational behavior analysis of metamaterial structures and multi-body space systems.

• AI in Earth Observation Satellites: Enhanced reliability and data quality through AI-driven solutions.
• Tuned Mass Dampers Modeling: Developed genetic algorithms for optimizing nonlinear hysteretic parameters.
• Telemedicine Spacecraft Constellation: Designed a 6-cubesat constellation for remote healthcare in rural Africa.
• Range Delay Analysis: Computed delay caused by Io Plasma Torus for ESA's JUICE mission using NAIF-SPICE.

• Deep Learning for Nonlinear Dynamics: Published in Nonlinear Dynamics (2024).
• AI in Earth Observation Operations: Published in Advances in Space Research (2023).
• Satellite Applications: Presented at International Astronautical Congress (2021).

• Programming: Python, MATLAB, TensorFlow, Keras, Scikit-Learn, PyTorch, JAX, Julia
• Tools: NAIF-SPICE, AGI STK, Bash Scripting, MS Office
• Specialties: Time-series analysis, Deep learning architectures, interdisciplinary teamwork

Physics-Informed Neural Networks (PINNs), Scientific Machine Learning, Nonlinear Dynamics, Aerospace Engineering, AI for Space Technologies, Vibrational Analysis, Satellite Optimization, TensorFlow, MATLAB, Python, Machine Learning for Spacecraft Systems, Data-Driven Models, Genetic Algorithms.

I am open to collaborations in AI, aerospace engineering, and satellite technologies. Feel free to explore my repositories or connect with me on LinkedIn or via email at harrishantares@gmail.com.

"Harnessing AI and engineering to drive innovation and advance space exploration."