* Project Leader, AI Photonic Radars (ISAR, Deep learning, NPU, …) * Project Leader, Photonic ADC (Photonic Integrated Circuit)* Project Leader, ML/DL-based Radar Signal Processing (GAN, Segmentation, Classification, Automated Annotation, Physical Optics, …)

• In charge of research of Deep Learning-aided Photonics Radar• Responsible for research and development tasks of Deep Learning-based Radar Signal Processing * Classification, Object Segmentation, Contrastive Learning, and Generative Models• Participated in preparing a proposal for the research of Deep Learning-based Radar * Won Future Challenge Defense Technology R&D Project Proposal Competition, 2019 * Awarded a research grant of about USD 4M from DAPA, Korea• Responsible for design and development of signal and data processing algorithms applied in a Full Digital Radar * Developed a radar simulator for the evaluation of Full Digital Phased Array performance in MATLAB * Modeling and Simulation of a naval-based platform to compensate beam distortions

• Responsible for research and development of UWB Radar Signal Processing * Machine learning-based GPR-based landmine detection/recognition algorithms * Machine learning-based dual-sensor hand-held landmine detection algorithms• In charge of design and development of Machine Learning-based Doppler/UWB Radar Signal Processing * Machine learning-based target detection algorithms for ultra-low false alarm rate• Played a key role in the implementation of the algorithms for Active Phased Array Radar in MATLAB and C * Developed software for calibration of Phased Antenna Array with Near-field Measurement in MATLAB * Conducted study on adaptive phased array signal processing algorithms (DBF, MVDR, LCMV, STAP)