Explores platform-agnostic signal compression techniques to enable efficient physiological data processing on resource-constrained wearable devices.
Addresses the critical need for privacy preservation in EEG data captured by commercial headwear, given its sensitive nature regarding mental states and health conditions.
Conducted tutorial sessions on the ESP-IDF framework for ESP32 microcontroller development at UMass Amherst.
Fabricated PVDF-type sensors in dental retainers and developed ML solutions to detect occlusal disease, evaluated on 12 patients.
Fabricated a robot from scratch including chassis creation, PCB design, and ATmega32 microcontroller programming with infrared sensors.
Covers microprocessor architecture, assembly programming, and interfacing.