Qiang Wang
About Qiang Wang
Qiang Wang is an optical engineer currently employed at DJI in Shenzhen, China, where he has worked since 2021. He has a strong background in sensor image processing and optical design, with previous experience at AAC Technologies and Samsung Semiconductor.
Work at DJI
Currently, Qiang Wang serves as an Optical Engineer at DJI, a role he has held since 2021. His work focuses on optical engineering, contributing to the development of advanced imaging technologies. DJI is known for its innovations in drone technology and camera systems, and Wang's expertise in sensor image processing and optical design plays a crucial role in enhancing product performance.
Previous Experience in Optical Engineering
Before joining DJI, Qiang Wang worked at several notable organizations in the field of optical engineering. He was employed at AAC Technologies as an Optical Engineer from 2019 to 2020. He also spent a year at Samsung Semiconductor (China) R&D as part of the CIS Solution Team from 2020 to 2021. His experience includes working as a Research Assistant at Nanyang Technological University from 2016 to 2017 and as a Master of Research at the ARC Centre of Excellence for Nanoscale BioPhotonics from 2017 to 2019.
Education and Expertise
Qiang Wang holds multiple degrees in engineering and science. He earned a Bachelor of Science in Software Engineering from Northwestern Polytechnic University in China from 2009 to 2013. He later pursued a Master of Science in Electrical and Computer Engineering at Sungkyunkwan University from 2013 to 2016, followed by a Master of Research in Astronomy and Physics at Macquarie University from 2017 to 2019. His educational background provides him with a strong foundation in optical design and sensor technologies.
Technical Skills and Proficiencies
Qiang Wang possesses a robust skill set in optical engineering and related software. He is proficient in optical design software such as Zemax and CodeV, and familiar with simulation tools like LightTools and ASAP. Additionally, he is capable of using programming and engineering tools including LabVIEW, Solidworks, Matlab, and C++. His expertise extends to advanced techniques such as HDR, Remosaic, Raman spectroscopy, and fluorescence microscopy detection.