Arman Asgharpoor Golroudbari, M.Sc.
- Space Engineering graduate, University of Tehran (GPA 4.00/4.00)
- Avionics Engineering background (GPA 3.80/4.00)
- Senior AI Research Associate at Rajaei Cardiovascular Center
- AI Research Engineer at MHS Company
- "TE‑PINN: Quaternion‑Based Orientation Estimation using Transformer‑Enhanced Physics‑Informed Neural Networks" (ICRA 2025, under review)
- "End‑to‑End Deep Learning Framework for Real‑Time Inertial Attitude Estimation using 6DoF IMU" (Measurement 2023)
- "Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation" (arXiv 2023)
- "The Future of In‑Space Manufacturing: A Systematic Review" (75th IAC 2024)
graph LR
A[Research Areas] --> B[SLAM & Mapping]
A --> C[AI & Deep Learning]
A --> D[Space Technologies]
A --> E[Medical AI]
B --> B1[Environment Navigation]
B --> B2[Intergalactic Medium Mapping]
B --> B3[Real‑Time State Estimation]
C --> C1[Physics‑Informed Neural Networks]
C --> C2[Self‑Adaptive Systems]
C --> C3[Vision Transformers]
D --> D1[Inertial Attitude Estimation]
D --> D2[Multi‑Sensor Fusion]
D --> D3[In‑Space Manufacturing]
E --> E1[Cancer Detection]
E --> E2[Evidence‑Based Systems]
E --> E3[Literature Intelligence]
- Reviewer, IEEE Transactions on Instrumentation & Measurement (2023)
- AWS AI & ML Scholarship recipient (2023)
- Rank 1, OxML Competition, Oxford ML Summer School (2023)
- Top 10% in M.Sc. Aerospace Engineering national entrance exam
- Quaternion‑based orientation estimation with physics‑informed neural networks — implementation and evaluation of quaternion‑based orientation estimation with physics‑informed neural networks
- Real‑time inertial attitude estimation — deep learning models for 6DoF IMU data
- Autonomous navigation survey — survey of deep learning methods for navigation and mapping
- In‑space manufacturing review — analysis of manufacturing techniques in microgravity
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