Marsel Faizullin

Skolkovo Institute of Science and Technology

Papers

2

Total Citations

7

H-Index

2

About

Marsel Faizullin is a researcher advancing accessible, high-precision sensing for robotics and computer vision. His core work tackles the critical challenge of synchronizing multi-sensor data from consumer smartphones. Faizullin’s major contribution is the development of open-source software that enables sub-millisecond precision synchronization between a smartphone’s RGB camera, depth sensor, and inertial measurement units. His 2022 paper, "SmartDepthSync," introduces a system for recording synchronized video from smartphone RGB and depth cameras, achieving remarkable temporal accuracy for a low-cost, easy-to-setup platform. This work has garnered 4 citations, demonstrating its relevance to the robotics community. Building on this, his 2021 paper, "Sub-millisecond Video Synchronization of Multiple Android Smartphones," directly addresses the need for affordable multi-view camera systems for high-dynamic environments. By making his Android application publicly available, Faizullin has provided a practical tool that transforms everyday smartphones into powerful, synchronized sensor arrays, democratizing access to high-quality data capture for researchers and developers.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
SmartDepthSync: Open Source Synchronized Video Recording System of Smartphone RGB and Depth Camera Range Image Frames With Sub-Millisecond Precision
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Skolkovo Institute of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago