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Zuoguan (Zuph) Wang has extensive work experience in the field of deep learning research and development for autonomous driving systems. Zuoguan (Zuph) started their career in 2005 as a Research Assistant at the Shanghai Institute of Technical Physics. In 2008, they moved to the United States and worked as a Research Assistant at Rensselaer Polytechnic Institute until 2012. From 2012 to 2014, Zuph worked as a Research Scientist at 3M Company. Zuoguan (Zuph) then joined Ambarella Inc in 2014 as a Staff Engineer, and worked there until 2016. In 2017, Zuph joined Nvidia, where they worked as a Deep Learning Researcher for autonomous driving systems until 2018. Currently, they are working at Black Sesame Technologies Inc as a Deep Learning Researcher and continues to contribute to the development of ADAS technology.

Zuoguan (Zuph) Wang pursued a Bachelor of Science degree in Electrical Engineering from the University of Science and Technology of China (USTC) from 2001 to 2005. Zuoguan (Zuph) then obtained a Master's degree in Electrical Engineering with a specialization in Image Processing from the Shanghai Institute of Technical Physics (SITP), Chinese Academy of Science, Shanghai, China, from 2005 to 2008.

Continuing their education, Zuoguan Wang attended Rensselaer Polytechnic Institute from 2008 to 2012. During this time, they earned a Master's degree in Applied Mathematics, focusing on Mathematical Optimization. Additionally, they completed their Ph.D. in Computer Vision and Deep Learning, further enhancing their expertise in this field.

It is important to note that these statements are drawn solely from the provided information and do not infer any additional experiences or assumptions.