- Master's in Mathematics (Mathematical Data Science)
Korea University
- Bachelor's in Physics
Konkuk University
- Bayesian Optimization: Probabilistic models for efficient tuning and decision-making.
- Computer Vision: Image, object, and action recognition for real-world tasks.
- Autonomous Systems: AI for perception, motion prediction, and decision-making.
- Graph Neural Networks: Learning from graph data for complex relationships.
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AI Health Trainer for Personalized Training (In Development)
Developing an AI trainer with real-time motion capture and voice feedback for exercise counting and personalized workout routines. -
Incheon Airport Mobility System Improvement 2024
Developed AI-driven demand-responsive transport (DRT) service "Airing" for efficient, eco-friendly airport transit. -
Samsung AI Challenge: Black-box Optimization 2024
Developed an offline model for black-box optimization algorithms. GitHub -
I/O Workload Analysis for Autonomous Vehicles (KCC 2024)
Analyzed I/O workload in shared storage systems for autonomous vehicle AI. Publication -
Jump Rope Activity Classification Model
Built an LSTM model to classify single and double jumps in jump rope. -
Saemangeum Public Big Data Challenge 2023
Suggested optimal locations for EV charging stations based on demand prediction. GitHub -
Jeonju Data Analysis Competition 2023
Conducted review data analysis to propose service improvement strategies. GitHub
AIML@K: Artificial Intelligence Mathematics Laboratory in Korea University
Airing: demand-responsive mobility service for Incheon Airport with optimal pod formation and route optimization
Moobean: AI trainer providing motion recognition and real-time voice feedback for effective workouts
- Programming Languages:
- Deep Learning:
- Web Development:
- Data Visualization:
- Design Tools:
- Photo/Video Tools:
- 💌 Email: rkh97@naver.com
- 🔗 About: aiml-k.github.io/author/kyunghee-roh