SMART NETWORKING LAB

Advisor: Prof. Wooyeol Choi (최우열), Ph.D.

Department of Computer Engineering (컴퓨터공학과)

College of IT Convergence Engineering, Chosun University (조선대학교 IT융합대학)

Address: 65, Chosundae 5-gil, Dong-gu, Gwangju, 61452, Republic of Korea

Office: IT-10123 / Tel.: +82-62-230-6033 / Email: wyc [AT] chosun [dot] ac [dot] kr

We are always looking for new graduate students having interests in one or more of our research areas that include wireless networks, full-duplex wireless, Internet of Things (IoT), and IEEE 802.11 standards. Applicants should have BS or MS degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Interested applicants send your CV and English score certificate (TOEFL, IELTS, or TEPS) to my email, specifying research interests and academic credentials. 

[Apr. 2024] A. Ullah's paper "Soft-output deep LAS detection for coded MIMO systems: A learning-aided LLR approximation" has been accepted for IEEE Transactions on Vehicular Technology.

[Mar. 2024] A. Nadeem's paper "Social-aware peer selection for energy efficient D2D communications in UAV-assisted networks: A Q-learning approach" has been accepted for IEEE Wireless Communications letters.

[Dec. 2023] Y. Oh's paper "Multi-objective reinforcement learning for power allocation in massive MIMO networks: A solution to spectral and energy trade-offs" has been accepted for IEEE Access.

[Nov. 2023] R. Ganiga's paper "Modelling EEG signals for mental confusion using DNN and LSTM with custom attention layer" has been accepted for IEEE Access.

[Nov. 2023] Fawad's paper "Machine learning framework for precise localization of bleached corals using bag-of-hybrid visual feature classification" has been accepted for Scientific Reports.

[Nov. 2023] I. Helmy's paper "Region of interest selection-based autofocusing for high magnification systems" has been accepted for IEEE Transactions on Computational Imaging.

[Oct. 2023] A. Ullah's paper "Path loss estimation and jamming detection in hybrid RF-VLC vehicular networks: A machine learning framework" has been accepted for IEEE Sensors Journal.

[Oct. 2023] S. Rezwan's paper "Federated deep reinforcement learning-based multi-UAV navigation for heterogeneous NOMA systems" has been accepted for IEEE Sensors Journal.

[Sep. 2023] A. Ullah's paper "Aerial-terrestrial networks with multi-antenna transmissions: How many UAVs need to be deployed?" has been accepted for IEEE Transactions on Vehicular Technology.

PHY/MAC protocol design for massive MIMO, mmWave, and full-duplex wireless systems

Deep learning-based resource optimization for mobile and wireless networks

Energy-efficiency protocol design for IoT systems

Details are described here