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Resume (English only)
Academic Achievements
Paper 'eBP - Ear-based Blood Pressure Monitoring' received Best Paper Award at ACM MobiCom 2019 and was featured in CACM and ACM SIGMOBILE Research Highlights.
Paper 'CapBand - Battery-free Gesture Recognition' was Best Paper Runner-up at ACM SenSys 2018 and presented at ACM WearSys 2017.
Paper 'PhO₂ - Mobile Oxygen Level Measurement' was Best Paper Nominee at ACM SenSys 2017, Best Paper Award at ACM S3 2017, and won 2nd Prize in the App Contest at MobiCom 2017.
Multiple projects published in top-tier venues including ACM MobiSys, ACM MobiCom, and IEEE ICASSP: Prosthetic Hand Sensors (IEEE NER 2023), In-ear Blood Pressure Monitoring (IEEE ICASSP 2022), Painometry (ACM MobiSys 2020), WAKE (ACM MobiSys 2020), Body-guided Communication (ACM MobiCom 2018), TYTH (ACM MobiSys 2018), Matthan (ACM MobiSys 2017), etc.
Published a comprehensive study on wearable sleep aid devices in Nature Scientific Reports.
Background
Research interests include Embedded Sensing Systems and Wearable Sensors.
Over 10 years of experience in teaching, research, and development of embedded and wearable sensing systems.
Focus areas: interdisciplinary research, system design, hardware & software development, machine learning, sensor fusion, and data science.
Currently building fiber-optic sensor technologies at Organic Robotics.
Teaching in the Applied Computer Science Program at the University of Colorado Boulder to inspire students with interdisciplinary perspectives.