SeungHoon Shin

Recent Computer Science graduate eager to deepen academic expertise in artificial intelligence, machine learning, and computer vision. Completed foundational coursework and exploratory projects in image processing and deep learning, which sparked a strong research interest in AI-driven systems. Motivated to pursue a Master’s degree to gain advanced knowledge and contribute to innovative research in the field.

Real-time Face Yoga Exercise Application Development — Aug 2025
Spartan Startup Camp, Unithon Team Project

• Developed a real-time facial exercise application using Python, OpenCV, and MediaPipe.
• Implemented three core exercise modules: Smile, Cheek Lift, and Center Hold with symmetry tracking.
• Provided real-time feedback by calculating accuracy, symmetry, and performance scores.

Real-time Facial Distance and Tilt Measurement System — Jan 2025
Venture Academy Winter Workshop, Team Leader

• Built a real-time face landmark detection system with OpenCV and Dlib.
• Measured Euclidean distance between eyebrows and mouth center, and calculated head tilt angle using eye landmarks.
• Implemented automatic reporting at intervals to provide live feedback on “tech neck” risk.

Personalized Recommendation System with Stable Diffusion — Nov 2023 – Aug 2024
Graduation Project, Team Leader

• Designed a personalized AI image recommendation system combining Stable Diffusion I2I, collaborative filtering, and K-means clustering.
• Applied user behavior analysis and BLIP image captioning to support customized AI image generation.
• Trained and evaluated on 7,000+ facial images, verifying performance based on user preferences.
• Validated system with metrics such as RMSE, Precision, and Recall, demonstrating optimized recommendation per user group.

Brain Tumor Segmentation using FLAIR MRI Images — Mar 2023 – Aug 2023
Media GAN Team Project (Spring Semester 2023)

• Applied U-Net++ with ResNet-101 backbone and CLAHE preprocessing, achieving 96.8% Dice accuracy.
• Enhanced segmentation performance compared to baseline U-Net via data augmentation and BCE Dice Loss training.

Object-level Segmentation with 3D Gaussian Splatting — Mar 2023 – Aug 2023
Computer Vision Team Project (Spring Semester 2023)

• Proposed a novel segmentation pipeline combining 3D Gaussian Splatting and SAM (Segment Anything Model).
• Extracted 2D masks via SAM and mapped them onto 3D Point Clouds for object-level scene segmentation.

Automated Admission Management System for International Students with UiPath — Oct 2022 – Oct 2023
Research Collaboration with University Admissions Office

• Developed an RPA system automating email communication and database entry for international student admissions.
• Designed an optimized UiPath workflow instead of Python, enabling efficient multi-format data handling (CSV, Excel, web forms).

Undergraduate Research Assistant, HCI Lab, Soongsil University
Sep 2022 – Jul 2023

• Developed an RPA system automating database entry for international student admissions.

Undergraduate Research Assistant, Reality Lab, Soongsil University
Aug 2023 – Sep 2024

English

OPIc Intermediate High (IH), July 2024