CV

Education

• Ph.D. in Information Science, Japan Advanced Institute of Science and Technology (JAIST), 2024 – 2027 (expected)
  • Advisor: Prof. Nak Young Chong
  • Research: Adaptive Visual SLAM in various environments
• M.S. in Electronics and Informatics, Gunma University, 2022 – 2024
  • Advisor: Prof. Seiji Hashimoto
  • Research: Robot Vision, LiDAR SLAM
• B.S. in Automation Engineering, Dalian Polytechnic University, 2017 – 2021

Professional Experience

• Data Analysis Associate, Accenture China Co Ltd, Dalian, China, Oct 2021 – Apr 2022
  • Medical data collecting, cleaning, analysis, visualization and building predictive models.

Research Projects

Adaptive Visual SLAM Framework in Various Environments

• Developed SR-SLAM, a scene reliability-based RGB-D SLAM framework that achieves robust localization across diverse environments through a unified reliability assessment mechanism. Demonstrated superior robustness over state-of-the-art methods on TUM, BONN, OpenLORIS-scene benchmarks and real environments.

Technical Skills

• Frameworks: ROS (Robot Operating System)
• Languages: C++, Python, PyTorch
• Natural Languages: Chinese (Native), Japanese (JLPT N1), English

References

• Dr. Nak Young Chong — Professor, JAIST; Co-founder and CEO of CURA Robotics and AI — nakyoung@jaist.ac.jp