Zahra Arjmandi has started her doctorate program in the winter, 2019. Her research focuses on UWB-based positioning, dynamic path planning, automated quality assessment of the inspection mission, and computer vision-based anomaly detection.
Zahra is part of the Q-Drone project, which is supported by the NSERC (Natural Sciences and Engineering Research Council of Canada) and MITACS. The Q-Drone team is designing the Q-Drone system for conducting engineering inspections to generate 3D asset environments and detect anomalies in a GPS-denied environment. The Q-Drone system aims to achieve UWB-based positioning, dynamic path planning, automated quality assessment of the inspection mission, and computer vision-based anomaly detection.
Experience
- Jan, 2019–2024: Graduate Research Assistant, GeoICT/ AUSMLab, York University Canada
- Aug, 2016–April, 2017: Research Assistant, Movement Control and Rehabilitation Lab, Amirkabir University of Technology, Iran
- Jun, 2012–Dec, 2016: Research Assistant, Center of Advanced Systems and Technologies (CAST), University of Tehran, Iran
- Jan, 2019–2024: Teaching Assistant, York University, Canada
- Jul, 2012–Sep, 2013: Iran Industrial Vibration Co (IIVCO), Iran
- Jul, 2012–Sep, 2013: Favaran Co, Iran
Publications (7)
2025
- Zhang, Y., Ahmadi, S. M., Kang, J., Arjmandi, Z., Sohn, G. (2025). YUTO MMS: A Comprehensive SLAM Dataset for Urban Mobile Mapping with Tilted LiDAR and Panoramic Camera Integration. The International Journal of Robotics Research, 44(1), 3–21.
- Arjmandi, Z., Sohn, G. (2025). Dynamic Recalibration in LiDAR SLAM: Integrating AI and Geometric Methods with Real-Time Feedback Using INAF Fusion. arXiv:2510.15803. (Preprint)
2024
- Arjmandi, Z., Kang, J., Sohn, G., Armenakis, C., Shahbazi, M. (2024). DeepCovPG: Deep-Learning-based Dynamic Covariance Prediction in Pose Graphs for Ultra-Wideband-Aided UAV Positioning. IEEE CASE 2024, 3836–3843.
2023
- Ahmadi, M., Alizadeh Naeini, A., Sheikholeslami, M. M., Arjmandi, Z., Zhang, Y., and Sohn, G. (2023). HDPV-SLAM: Hybrid Depth-Augmented Panoramic Visual SLAM for Mobile Mapping System with Tilted LiDAR and Panoramic Visual Camera. IEEE 19th International Conference on Automation Science and Engineering (CASE).
2020
- Kang, J., Park, K., Arjmandi, Z., Sohn, G., Shahbazi, M., and Menard, P. (2020). Ultra-wideband Aided UAV Positioning Using Incremental Smoothing with Ranges and Multilateration. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
- Arjmandi, Z., Kang, J., Park, K., and Sohn, G. (2020). Benchmark Dataset of Ultra-wideband Radio Based UAV Positioning. IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).
- Park, K., Kang, J., Arjmandi, Z., Shahbazi, M., and Sohn, G. (2020). Multilateration under Flip Ambiguity for UAV Positioning Using Ultrawide-band. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.