- Lead 8 research projects including planning, designing and documenting experiments, reporting results, and mentoring students- Partner with a company to design and validate an ultra-small mobile wireless multi-modal sensing device including EEG, ECG, PPG, body temperature, and accelerometer sensors- Pioneer objective methods to simultaneously assess multi-faceted visual functions by integrating VR with EEG and eye tracker- Propose algorithms to remove and interpolate spike noises in time-series data based on an autoregressive model using Python- Organize lecture series and research intern programs that have accepted 10+ undergrad/graduate students each year

- Collected behavioral and ANS data (e.g., GSR and ECG) from 50 participants in a random control trial experiment and revealed a simulator sickness treatment device reduces nausea during VR gameplay by 30%- Assisted in proposing an experimental guideline to safely test human subjects during the COVID-19 pandemic that allowed us to resume experiments 3 months after the university shut down

- Proposed various signal processing and ML algorithms that improved EEG classification accuracy by 20+% with 70% less data- Developed an online EEG-based BCI speller in Matlab, which achieved the world-highest information transfer rate of 325 bits/min- Collected EEG data from 100+ patients and healthy subjects in case-controlled clinical and within-subject cognitive experiments- Identified an EEG biomarker that discriminates patients from healthy controls, improving diagnostic accuracy by 11\%

- Proposed a frequency approximation algorithm to render visual flickers at any flexible frequencies on a computer monitor regardless of its refresh rate, making it possible to prepare 40+ BCI commands