Researcher | Space Enthusiast | Deep Learning

Hello! I’m Arman, a dedicated deep learning researcher specializing in the application of machine learning to space exploration and robotics.

Robotics and Planetary Rovers

My work in robotics is centered around the development and application of machine learning algorithms for planetary rovers and search and rescue robots. I’m particularly interested in the challenge of navigation under uncertainty. My research involves the use of sensor fusion algorithms, which combine data from multiple sensors to improve system performance. This interdisciplinary approach, which also incorporates elements of flight dynamics and control theory, aims to enhance the autonomy and efficiency of these robotic systems.

Astronomy and Astrophysics

As an astronomy enthusiast, I am exploring the potential of deep learning in the field of cosmology and astrophysics. My current projects involve the use of machine learning models to generate realistic simulations of astrophysical phenomena. This includes the study of the early universe and the cosmic microwave background (CMB), where I am investigating the use of deep learning techniques for large-scale structure reconstruction from luminosity distance data. I am also delving into the mysteries of dark matter, with projects focused on deep learning-based dark matter map reconstructions.

Explore my past endeavors in greater detail by visiting Experiences.

Research Collaborations: I am actively seeking opportunities for academic research collaborations, aiming to foster interdisciplinary synergies and engage in innovative knowledge exchange. 🤝💡

Research

My passion for space technology has ignited collaborations with renowned institutions and projects, such as:

• Milky Way Program @ Deep Space Initiative: Contributed to space transportation system research, addressing pressing space-related issues.
• Oxford Machine Learning Summer School: Achieved top rank in the Health and Medicine OxML competition track, focusing on vision-based breast cancer detection.
• Fuzzy Logic Lab @ University of Tehran: Developed deep neural networks for visual odometry, enhancing accuracy and performance.
• Space Lab @ University of Tehran: Pioneered deep learning-based inertial odometry techniques, leveraging state-of-the-art datasets and optimization tools.
• Department of Aerospace Eng. @ University of Tehran: Explored the intriguing world of Quantum Computing and its applications in space.

Experience Beyond Research

I believe in sharing knowledge and experiences:

• Mentor @ Space Generation Advisory Council: Providing personalized guidance and support to aspiring space enthusiasts.
• Martial Arts Instructor @ Iran Martial Arts Federation: Cultivating communication skills through teaching diverse students.
• Manager @ Arman Imen Passargad: Nurturing leadership and management skills in challenging work environments.
• Teaching Assistant @ University of Tehran: Imparting practical programming skills to graduate-level students.

Feel free to reach out for inquiries or to explore exciting collaborations in the realm of space engineering. Let’s embark on an extraordinary journey together.