M.S. researcher in Mechanical and Robotics Engineering at Gwangju Institute of Science and Technology (GIST)
I design, build, and control physical systems, with a focus on robotics, feedback control, precision mechatronics, and learning from measured signals. I care most about what the hardware does when the model meets it.
My current research is the Z-axis of a contact-mode atomic force microscope: measuring and identifying the plant, implementing real-time digital control on an STM32, and testing how faithfully the instrument images as scan speed increases.
Portfolio · CV · Google Scholar · ORCID · LinkedIn
- System identification, loop shaping, and embedded feedback control
- Precision mechatronics, sensing, actuation, and analog front ends
- Learning-enabled control and anomaly detection for physical systems
- Real-time biomedical signal processing and rehabilitation robotics
| Project | What I worked on |
|---|---|
| AFM Z-Axis Identification and Control | Plant measurement and identification, digital PI control on an STM32F407 at 18.4 kHz, analog front-end revision, and trace–retrace imaging evaluation from 2 to 20 Hz |
| Voice-Coil Actuator Position Control | CAD and fabrication of a positioning bench, frequency-response identification, and hardware comparison of six analog compensators |
| Induction-Motor Monitoring | Sensor logging, feature engineering, and healthy-baseline anomaly detection with an autoencoder |
| Real-Time sEMG Rehabilitation Interfaces | Eight-channel signal processing, online gesture classification, and real-time interfaces with one to three degrees of freedom |
| Pneumatic Soft Robotic Glove | Fibre-reinforced actuator design, printed moulds, silicone casting, and pneumatic-system integration |
- Model-Based Digital Proportional-Integral Control for High-Speed Contact-Mode Atomic Force Microscopy Imaging — poster presented at the 23rd IFAC World Congress, Busan, 2026
- MUSED-I: Multi-Gesture Surface Electromyography Dataset for Stroke Rehabilitation — dataset · repository
STM32 · Arduino · Raspberry Pi · MATLAB/Simulink · Python · SolidWorks · ANSYS · LabVIEW
I am open to Ph.D. opportunities and research collaboration in control, precision mechatronics, and learning-enabled control of physical systems.
Contact: mustafamarvat786@gm.gist.ac.kr