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π’ 무μ 첨λ¨λ€νΈμν¬μμ€ν μ°κ΅¬μ€ λνμμ μμ λͺ¨μ§μ€!! (ν/μμ¬μ°κ³, μμ¬, μ/λ°ν΅ν©, λ°μ¬) (labwens@gmail.com, wdragon@kumoh.ac.krλ‘ μ°λ½μ£ΌμΈμ.)
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π (26λ 3μ)Β μ΄νμ λ°μ¬ κ΅λ°©κ³Όνμ°κ΅¬μ μ μ μΆνν©λλ€!!
π (26λ 3μ) μ μ μ°κ΅¬μλ€ νμν©λλ€!! (λ°μ¬κ³Όμ : Rehman Attiq Ur, Niloy Ehsan Ahmed, μμ¬κ³Όμ : λͺ μ§ν, μμ μ)
π (26λ 2μ)Β μ‘Έμ μ μΆνν©λλ€!! (μμ¬ : κΉμΈκ³€, κΉμ ν, Intungane Simplice, Syed Murtaza Hussain Abidi )Β
π (26λ 2μ) νκ΅ν΅μ νν λκ³μ’ ν©νμ λν 무μ 첨λ¨λ€νΈμν¬ μ°κ΅¬μ€ μ°Έκ°
π (26λ 2μ) νκ΅ν΅μ νν λκ³μ’ ν©νμ λν ν΄λμ°μλ Όλ¬Έμ λμ μμ!! (κ°μν, Fault-Aware Switching: Monocular Depth Fallback for Stereo Camera Faults in Obstacle Avoidance) https://v.daum.net/v/xCr0NrYChA?f=p
κ΄μ¬μλ λΆλ€μ labwens@gmail.com μΌλ‘Β μ°λ½μ£ΌμΈμ!!
Research Themes
Future Wireless Radio Access Technology
Future Wireless Radio Access Technology
Novel wireless radio access techology such as NOMA, massive MIMO, OAM, OTFS, OCDM, etc. for new waveform, AI-native, enhanced spectrum efficiency, high mobility support
Unmanned Mobility
Unmanned Mobility
Various umanned mobility (UAV, UGV, USV, UUV), their collabortive operations, bio-inspired intelligent swarm and collaboration
AI/Deep Learning
AI/Deep Learning
Develop/optimize supervised, unsupervised, reinforcement, and hybrid learning-based deep learning models and algorithms for various applications such as wireless communications, robotics, video processing, etc.
Quantum Computing (Quantum ML)
Quantum Computing (Quantum ML)
Quantum Neural Networks for leveraging quantum computing principles to enhance machine learning algorithms and modelsΒ
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