Yang Fu(daniel) Tseng
About Yang Fu(daniel) Tseng
Yang Fu (Daniel) Tseng is a software engineer with expertise in neural networks and deep learning, utilizing TensorFlow and Keras. He has a background in electrical and electronics engineering, with experience in various research and engineering roles across multiple institutions.
Work at ASUS
Yang Fu Tseng has been employed at 華碩電腦股份有限公司 (ASUS) as a Software Engineer since 2021. In this role, he applies his expertise in software development and engineering within the technology sector. His work contributes to the advancement of ASUS's product offerings and enhances the overall user experience.
Education and Expertise
Yang Fu Tseng earned a Master of Science in Electrical and Electronics Engineering from UC Irvine, where he studied from 2018 to 2020. He also holds a Bachelor's degree in Physics with a minor in Electrical Engineering from National Central University, completed between 2012 and 2016. His educational background provides him with a solid foundation in engineering principles and practices.
Professional Experience
Prior to his current role at ASUS, Yang Fu Tseng gained diverse experience in various positions. He worked as a Field Application Engineer Intern at Texas Instruments for one month in 2019. He also held multiple roles at National Central University, including research projects related to spinning tops and two-photon absorption spectroscopy, spanning from 2014 to 2016. Additionally, he served as a Research Assistant at UC Irvine for five months in 2018 to 2019.
Technical Skills
Yang Fu Tseng is experienced in using TensorFlow and Keras for neural network and deep learning applications. He is proficient in Cadence Virtuoso for design and analysis, and possesses a solid understanding of UEFI architecture. His expertise extends to USB Type-C and DisplayPort protocols, as well as optical spectroscopy and optical fiber technologies.