"Whether I'm mapping dynamic environments on Earth or charting the intergalactic medium, SLAM and reconstruction algorithms are where my heart truly lies. It's not just workβit's where science meets adventure! π"
Arman Asgharpoor Golroudbari, M.Sc.
- π‘ Space Engineering Graduate, University of Tehran (GPA: 4.00/4.00)
- π©οΈ Avionics Engineering Background (GPA: 3.80/4.00)
- π¬ Senior AI Research Associate at Rajaei Cardiovascular Center
- π€ 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)
mindmap
root((Research Focus))
SLAM & Mapping
Dynamic Environment Navigation
Intergalactic Medium Mapping
Real-time State Estimation
AI & Deep Learning
Physics-Informed Neural Networks
Self-adaptive Systems
Vision Transformers
Space Technologies
Inertial Attitude Estimation
Multi-sensor Fusion
In-Space Manufacturing
Medical AI
Cancer Detection
Evidence-based Systems
Literature Intelligence
- Outstanding Reviewer, IEEE Transactions on Instrumentation & Measurement (2023)
- AWS AI & ML Scholarship Recipient (2023)
- Ranked 1st in OxML Competition, Oxford ML Summer School (2023)
- Top 10% in M.Sc. Aerospace Engineering National Entrance Exam