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. πŸ€πŸ’‘


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.

  • Deep Learning
  • Vision-based Navigation
  • Interstellar Autonomous Spacecrafts
  • M.Sc. Space Engineering, 2022

    University of Tehran, Tehran, Iran

  • MBA, 2020

    Academic Center for Education, Culture and Research, Tehran, Iran

  • B. Eng. Aircraft Avionics Technology, 2019

    University of Applied Science and Technology, Tehran, Iran

  • Associate, Avionics, 2016

    Civil Aviation Technology College, Tehran, Iran

Recent Publications

Quickly discover relevant content by filtering publications.
(2023). Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review. Journal of Field Robotics - Submitted.

PDF Cite Code

Academic Services

Review for Journals


  • IEEE Transactions on Instrumentation & Measurement, 43 Papers
  • The Aeronautical Journal, 3 Papers
  • Elsevier Aerospace Science and Technology, 15 Papers
  • Space: Science & Technology, 4 Papers
  • Elsevier Measurement, 6 Papers
  • IEEE Instrumentation & Measurement Magazine, 1 Paper
  • IEEE Open Access Journal on Circuits and Systems, 1 Paper
Review for Conferences
  • International Federation of Automatic Control (IFAC) World Congress 2023, Yokohama, Japan
  • American Control Conference (ACC) 2024, Toronto, ON, Canada
Referee of Research Council

Responsibilities include:

  • Analyzed and evaluated research proposals to determine if they are appropriate for funding

Teaching Experience

Teaching AssistantUniversity of Tehran
* Course: Fuzzy Logic (Graduate Level)
* Instructor: Dr. M.H. Sabour
Fall 2022
InstructorAviation Industry Training Center
* 11 Courses taught on Electronics, Navigation, Aviation (Undergraduate)
Sep. 2019 - Sep. 2021
Thesis SupervisorAviation Industry Training Center
Supervised Theses
* Design and Implementation of a 3 Axis CNC Machine ()
* Design and Implementation of Pulse Circuits Training Board ()
* Design, Simulation, and Building of an Aircraft Fire Extinguishing System ()
* Design and Implementation of Retractable Landing Gear ()
* Design and Implementation of a CNC Hot Wire ()

Spring 2021 - Fall 2021
Fall 2020 - Fall 2021
Spring 2020 - Fall 2020
Fall 2019 - Spring 2020
Fall 2019 - Spring 2020

Recent Posts


Carcinoma Classification - OxML 2023 Cases
Advanced Cancer Classification Repository. The-Health-and-Medicine-OxML-competition-track
Carcinoma Classification - OxML 2023 Cases
Deep Learning based Inertial Attitude Estimation
Generalizable end-to-end deep learning frameworks for real-time attitude estimation using 6DoF inertial measurement units
Deep Learning based Inertial Attitude Estimation