Developing cutting-edge machine learning algorithms for revolutionary medical helmets, leveraging microwave signals to accurately classify brain scan data and differentiate between normal individuals and stroke patients. This innovative approach presents a cost-effective and time-efficient alternative to traditional MRI or CT scans, providing valuable insights for effective stroke diagnosis and treatment.

Designed and implemented an automated glass uploading system utilizing KUKA robotics for windshield production, incorporating object recognition and selection algorithms based on glass shapes and types, programmed Siemens S7-300 PLC to optimize and operate the glass heating system, resulting in enhanced efficiency, safety, and consistent quality in the windshield manufacturing process.

Designed and implemented a wireless motion control system using the Texas Instruments DSP, established efficient data transmission between the DSP and PC by programming the serial communication interface, and completed the circuit board design, enabling the application of the wireless motion control system on an unmanned autonomous boat.