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Introduction:

Mostly interested in multimodal AI, reinforcement learning-based optimization, RF sensing, and 5G/B5G. Also working for applications of smart solutions (integrated IoT/ICT with deep neural nets) in computer vision and wireless communication.

Recent projects:

Lately leading a lab project as "multimodal AI-based human mobility detection, tracking, and motion estimation". The suggested idea is to utilize WiFi signal characteristics to improve camera-based detection and tracking performance. In addition, responsible for newly multimodal and DL/ML algorithms to apply our proposed approach.

Preferred programming Languages:

  • Python
  • Java
  • C/C++
  • LabVIEW
  • MATLAB

Preferred programming Frameworks:

  • PyTorch/TensorFlow
  • Open AI Gym/StableBaselines
  • LabVIEW Communications Application Frameworks/LabVIEW FPGA
  • Android Studio

Educational Backgrounds:

  • M.S. in Department of Computer Engineering, Chosun University.
  • B.S. in Department of Computer Engineering, Chosun University (Summa cum Laude).

Youngwoo Oh's Projects

wifimobnet icon wifimobnet

WiFi-Camera multimodal learning-based object detection and pose estimation

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