Kihoon Moon
AI Researcher & Software Engineer
About Me
I am a final-year Software Engineering student at Jeonbuk National University and an Undergraduate Researcher at the Adaptive AI Lab. My research focuses on Explainable AI (XAI) for enhancing clinical applicability of AI in healthcare, particularly in personalized blood glucose prediction and medical image analysis.
With a strong foundation in AI/ML frameworks like TensorFlow and PyTorch, I have led research projects resulting in publications and patents. I am passionate about developing AI solutions that can make a meaningful impact in healthcare and am seeking to further my education through graduate studies in Artificial Intelligence.
Jeonbuk National University
BS Candidate in Software Engineering (4th Year)
Undergraduate Researcher, Adaptive AI Lab
- GPA: 3.8 / 4.5
- Advisor: Prof. Jaehyuk Cho
- Thesis: (Proposed Research Area) Explainable AI (XAI) for Enhancing Clinical Applicability of AI in Healthcare (e.g., Personalized Blood Glucose Prediction, Medical Image Analysis)
Extracurricular Activities
President, Student Council of Department of Software Engineering
Jeonbuk National University
- Led and represented the student body of the Software Engineering department.
- Successfully organized and managed major departmental events such as "Software Engineering Day" and "Membership Training (MT)."
English Language Study Program
Centre for English Language Teaching (CELT), University of Western Australia (UWA)
- Completed an intensive English language course focusing on speaking, listening, and writing skills.
- Experienced a multicultural environment and engaged in various cultural activities.
Research Highlights
Personalized Blood Glucose Prediction
Developed BiT-MAML, a hybrid model integrating Bi-LSTM, Transformer, and Model-Agnostic Meta-Learning for personalized blood glucose prediction in Type 1 Diabetes patients.
Story Point Data Prediction
Investigated methods for enhancing story point data prediction in software engineering using combined TF-IDF and SBERT feature extraction techniques.
Contact Me
Phone
+82-10-6642-3656Location
Jeonju, Republic of Korea
Portfolio
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