- π B.E. in Automation & Informatics, Vietnam National University β Hanoi (VNU)
- π Currently exchanging at National University of Singapore (NUS)
- π Passionate about Robotics, Embedded Control Systems, AI-driven Mechatronic Intelligence
- π± Learning: PyTorch, OpenCV, ROS, Jetson Nano
- π« Reach me: nk.long723@gmail.com
- π€ Robotics & Mechatronics: Delta parallel robots, UAVs, manipulator kinematics
- βοΈ Control Systems: Adaptive Fuzzy, Backstepping, PID, MPC/NMPC
- π§© AI for Engineering Systems: SINDy, Gradient Boosting, Random Forest
- π Smart Manufacturing: Cutting-force prediction in Milling Process
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Adaptive Fuzzy + Backstepping for 3-DOF Delta Robot
Stability via Lyapunov; validated in MATLAB/Simulink.
Published in Lecture Notes in Networks and Systems (Springer, Q4). -
YOLOv5s for PPE Detection on Construction Sites
2,632 real images; 6 activations compared; mAP@0.5 = 83.9%.
Vision-based safety for real-world sites. -
Adaptive Control for 3-DOF Parallel Robot (2024)
Mechanical prototype + embedded closed-loop control; MATLABβSimulink integration.
Published in Springer STAIS 2023 & ICTA 2024.
Languages: MATLAB, Python, C/C++, LaTeX
Frameworks/Libraries: PySINDy, scikit-learn, TensorFlow, OpenCV, matplotlib
Tools: Simulink, STM32CubeIDE, Arduino IDE, TIA Portal, SolidWorks, ROS
Domains: Control design, signal processing, ML for dynamics
Streaks
βControl is not just about systems β itβs about empowering intelligence in motion.β