MS Graduate (Feb 2025) from GIST AI Graduate School | NetAI Lab
Currently refining research outcomes and awaiting publication review
Specializing in Cloud-Native Digital Twin Services and DT base Simultaion
I'm passionate about bridging the gap between cutting-edge AI research and practical cloud-native implementations. My work focuses on developing scalable, containerized solutions for digital twin environments using Omniverse, Isaac Sim, and Kubernetes. Currently finalizing my research contributions while exploring new opportunities in the industry.
- Digital Twin Implementation: Developed cloud-native microservices architecture for GIST AI Graduate School space
- Simulation & Reality Bridge: Contarized Isaac Sim + ROS2 integration for real-world applications
- Cloud-native based AI service: Implementing Multi-camera Camera-based human localization and tracking systems (Falcon)
- Edge Computing: I supporing MobileX environment resource sharing and optimization
Currently finalizing publication submissions and refining research outcomes
Here are some of the projects I'm most passionate about.
enabling seamless control of both virtual and physical robots simultaneously. Features include:
- 🐳 Fully pre-configured Isaac Sim 4.5 + ROS2 containerized environment
- 🔄 Dual-mode control: Single interface managing virtual (Isaac Sim) and physical Husky UGV robots
- 🎯 Production-ready Docker images with optimized deployment on private cloud infrastructure
Instantly transforms any camera—physical webcam, ROS2 topic, or virtual—into a unified, RTSP/Kafka-based network stream.
Gstreamer | Kafka • Containerized agent using Gstreamer/Kafka to provide streaming video and managed API for seamless integration with digital twin and AI services.
Kubernetes | Data Pipeline • Infrastructure deployment examples and configuration management for digital twin data processing.
Docker • Custom containerization solutions for Isaac Sim 4.5, optimizing deployment and scalability.
Python | Kubernetes • Human location identification system through camera networks, implemented as cloud-native microservices.
Specializations: K8S based Cloud-Native Architecture • Digital Twin • Containerize to Real/Simulation Service
