진민주(MinJu Jin)

Email: [email protected]

Website: https://fayej1221.github.io

Education

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Pusan National University, Yangsan

(09/25 - Present)

M.S., Artificial Intelligence

Department of Information Convergence Engineering

AI-based Medical Imaging Laboratory (AMILAB)

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Kongju National University, Cheonan

(03/20 - 08/25)

B.S., Computer Engineering

Minor in Applied Mathematics

GPA: 3.55/4.5

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Programming Languages: Python, C++
Frameworks & Libraries: PyTorch, TensorFlow, Scikit-learn, OpenCV, MMDetection
Data Analysis & Visualization: NumPy, Pandas, Matpllotlib

BoostCamp AI TECH 6th Edition [Naver Connect Foundation] (11/23 - 04/24)

BoostCourse BEYOND AI BASIC Coaching Study 10th Edition [Naver Connect Foundation] (05/23)

Airis Co., Ltd., ICT Winter Internship Program (01/23 - 02-23)

[Boostcamp AI Tech – Private Competition] “Hand Bone Segmentation” (02/24)

Developed a model for precise segmentation of hand X-ray images, achieved 2nd place in both public and private leaderboard rankings.

Through class-wise pixel distribution analysis, data imbalance was identified. Additionally, some images contained nail art, and the orientations of the images ranged from -30° to +30°.
Resized images from 2048 to 1024 to optimize computational efficiency based on the computational environment, applied CLAHE, and performed augmentation (horizontal flip, rotation).
Evaluated BCE, Focal, Dice, and IoU losses; found BCE+Dice combination most effective.

Gene Expression Prediction from H&E-Stained Tissue Images (DACON Competition, 2024)

Designed a deep learning solution to predict gene expression from histopathology images.
Real-Time Collision Prediction Using a Monocular Camera (BoostCamp AI Tech Final Project, 2024)

Built a real-time collision prediction system utilizing computer vision and deep learning.
Live-rary: Library Book Availability Checker (Team Project, 2022)

Developed a web application to check real-time library book availability.
Fram_Security: AI-based Animal Deterrent System (Team Project, 2022)

Created an AI-powered deterrent system using YOLO-based object detection to reduce crop damage by wildlife.

Engineering Information Processing (09/24)