🎓 MSc Student in Communications, Navigation & Control Engineering (CNCE)
📍 National Taiwan Ocean University (NTOU), Taiwan
I’m passionate about developing intelligent system algorithms that connect spacecraft navigation, robotics control, and AI-based sensing systems.
My work focuses on GNSS/INS sensor fusion, nonlinear filtering, and machine-learning-driven control, building adaptive software and algorithms for next-generation autonomous platforms in space, air, and ground systems.
- 🛰️ Entropy-Based Nonlinear Kalman Filters (CEE, MEE, MCC) for spacecraft orbit and attitude estimation under GPS navigation
- 🤖 Intelligent Robotics System Algorithms for motion control, perception, and decision-making
- 🧭 AI-Enhanced Navigation and Sensor Fusion for GNSS/INS/Vision-based state estimation
- ⚙️ FPGA/GPU-Accelerated Machine Learning Pipelines for real-time signal processing and adaptive control
- 🌐 Smart GNSS Receiver with IoT Connectivity for real-time monitoring and cloud-based analytics
MATLAB | Python | C++ | Simulink | TensorFlow | ROS | FPGA | Kalman Filters | GNSS/INS Fusion | Orbit Dynamics | AI-Based Control | Autonomous Systems
- 🎓 Supervised Machine Learning — Stanford University (DeepLearning.AI)
- 🛰️ Autonomous Aerospace Systems — Università di Napoli Federico II
- ⚙️ Machine Learning Onramp — MATLAB
- 💻 IT Essentials (ITE) — Cisco Networking Academy
- 🧩 Simulation Onramp — MATLAB
📧 [email protected]
🔗 LinkedIn
💻 GitHub Projects
⭐ “Integrating intelligent algorithms for autonomous navigation, robotics, and satellite systems — advancing smart sensing and control technologies.”