• Conducted thorough feasibility analysis on wearable and implantable devices using Human Body Communication.• Designed a EQS human body lumped circuit model, a low noise amplifier, and a rectifier for HBC RX using TSMC 65nm process.

• Designed CMOS Voltage Reference Circuits (CVR) with 3 different topologies (2T/4T/6T) for ultra-low power IoT applications using the NXP in-house SMOS10HV technology process. • Held a 1.5-hour design review meeting to comprehensively analyze and compare the simulation results (PVT variations and Mote Carlo simulation included) between the 3 topologies and related works published on IEEE. • Constructed the testbench and simulated the Power-on Reset (POR) analog block in a… Show more • Designed CMOS Voltage Reference Circuits (CVR) with 3 different topologies (2T/4T/6T) for ultra-low power IoT applications using the NXP in-house SMOS10HV technology process. • Held a 1.5-hour design review meeting to comprehensively analyze and compare the simulation results (PVT variations and Mote Carlo simulation included) between the 3 topologies and related works published on IEEE. • Constructed the testbench and simulated the Power-on Reset (POR) analog block in a CC&SBU pin protection IC which prevents the short-to-VBUS damage in Type-C devices. • Conducting the Analog Mixed Signal (AMS) Verification of a start-up circuit. Show less

• Designed a smart clothes rail, “GOOTDLE”, to locate the clothes on the hanger using Force Sensors with Arduino UNO board and Computer Vision (CV) on Raspberry Pi. • Developed the front-end and back-end of the “Outfits Recommendation” web-based system using React and Express , connecting the application to our database created by Supabase whose data are read from the real-time monitoring of the force sensors output serials from Arduino. • Voted as the “Most Wanted Product”… Show more • Designed a smart clothes rail, “GOOTDLE”, to locate the clothes on the hanger using Force Sensors with Arduino UNO board and Computer Vision (CV) on Raspberry Pi. • Developed the front-end and back-end of the “Outfits Recommendation” web-based system using React and Express , connecting the application to our database created by Supabase whose data are read from the real-time monitoring of the force sensors output serials from Arduino. • Voted as the “Most Wanted Product” among 10 groups by up to 100 Googlers. Show less