CV

More detail can see Ping-Ju Lin’s CV

Education

• Ph.D in Mechanical Engineering, Tsinghua University, 2024
• M.S. in Electrical Engineering, George Washington University, 2020
• B.S. in Electrical Engineering, Feng Chia University, 2018

Work experience

• Project Consultant
  • National Information Security Standardization Technical Committee
  • Duties include:
    1. Advised the standard in EEG pre-processing procedure. (Brain-Computer Interface)
    2. Completed a chapter in the “White paper on the application of brain-computer interface technology in the medical and health field”
• AI/ML Engineer Intern
  • Foxconn (Hon Hai Precision Industry)
  • Duties include:
    1. Developed an NLP (Natural language Processing) model to train the dialect language (Min-Nan) model with the data from the Pi-li company. The goal is to alternate the character’s voices.
    2. Programmed a Web Crawler to grip data from social media such as PTT, Dcard, and Facebook and visualize the public opinion poll.

Publications

AM-EEGNet: An advanced multi-input deep learning framework for classifying Stroke Patient EEG task states

Explainable deep-learning prediction for brain-computer interfaces supported lower extremity motor gains based on multi-state fusion

Multiscale Canonical Coherence for Functional Corticomuscular Coupling Analysis

Lesion-specific cortical activation following sensory stimulation in patients with subacute stroke

Motor-Respiratory Coupling Improves Endurance Performance during Rhythmic Isometric Handgrip Exercise.

A transferable deep learning prognosis model for predicting stroke patients’ recovery in different rehabilitation trainings

CNN-based prognosis of BCI rehabilitation using EEG from first session BCI training

Quantitative assessment of motor function by an end-effector upper limb rehabilitation robot based on admittance control

Professional Services

• Journal Referee: iScience, Engineering Applications of Artificial Intelligence, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Frontiers in Neurology, Scientific Reports.
• Conference Referee: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).