I am deeply passionate about designing and validating Software-Defined Radio (SDR)-based radio frequency (RF) simulators and wireless networks, and optimizing them using reinforcement learning (RL) approaches. Over four years as an undergraduate lab-intern and during my M.S. degree at the Smart Networking Lab in the Department of Computer Engineering at Chosun University, I developed expertise in wireless communications and RF-based object sensing.
My research journey has continued at HL Klemove since March 2025, where I am contributing to the advancement of autonomous driving solutions by developing an in-house ReSim toolkit aimed at enhancing the efficiency of ADAS RADAR research processes.
Wireless technology has achieved remarkable advancements in frequency performance, yet these gains come with increased energy consumption and computational complexity. To address these challenges, my work focuses on leveraging RL to optimize wireless resource allocation while balancing trade-offs between spectral and energy efficiency. Specifically, I designed the multi-objective reinforcement learning algorithm for massive antenna-aided base station (BS) transmission power allocation in multi-cellular networks. This work was published in IEEE Access and received the Best Paper Award at the 33rd Joint Conference on Communications and Information (JCCI).
I designed and validated RF simulators and SDR-based RF transceivers, incorporating multi-hop routing algorithms, TDD/TDMA, OFDM, and MIMO systems using digital signal processing techniques. These efforts led to nine research papers presented at international and domestic conferences, one of which received the Best Paper Award at the 2021 Winter Conference of the Korea Information and Communications Society (KICS).
Lastly, I actively share my research methodologies and experimental results in wireless communication simulation and testbed development through my YouTube channel, fostering open collaboration and knowledge-sharing.
- Python
- LabVIEW & NXG
- MATLAB & GNU Octave
- Java
- C/C++
- PyTorch/TensorFlow (For Deep Learning Development)
- Open AI Gym/StableBaselines (For Reinforcement Learning Development)
- LabVIEW/Communications System Design Suite (For Wireless Communication System Design and Validation)
- Python Flask (For Frontend development)
- Android Studio/Java (For Mobile Application development)
- M.S. in the Department of Computer Engineering, Chosun University.
- B.S. in the Department of Computer Engineering, Chosun University.