Yuhe Zhang
About Yuhe Zhang
Yuhe Zhang is the Head of A.I. Engineering at Polarr, where he leads the development of AI technologies for photography and photo management. He has a background in physics and computational physics, with experience in both research and teaching at Penn State University.
Current Role at Polarr
Yuhe Zhang serves as the Head of A.I. Engineering at Polarr, a position he has held since 2019. In this role, he leads the development of artificial intelligence technologies focused on photography, photo editing, and album management. Zhang is responsible for deploying deep learning models on mobile platforms using GPU-based frameworks. He also oversees AI-development efforts aimed at licensing computer vision technologies to enterprise customers, including cellphone manufacturers. Additionally, he provides technical guidance and manages the AI research team’s work expectations.
Previous Experience at Penn State University
Before joining Polarr, Yuhe Zhang worked at Penn State University in various capacities. He served as a Research Assistant from 2014 to 2017, where he contributed to research initiatives in the field of artificial intelligence. Prior to that, he was a Teaching Assistant from 2012 to 2014, supporting the academic needs of students. His time at Penn State provided him with valuable experience in both research and teaching within the realm of computational physics.
Educational Background
Yuhe Zhang holds a Bachelor’s Degree in Physics from Zhejiang University, where he studied from 2007 to 2011. He furthered his education at Penn State University, earning a Doctor of Philosophy (Ph.D.) in Computational Physics from 2011 to 2017. His academic background has equipped him with a strong foundation in both theoretical and applied physics, which he applies in his current work in artificial intelligence.
AI Research and Development Focus
At Polarr, Yuhe Zhang conducts research and development of AI technologies specifically tailored for photography and photo management. His work includes developing AI algorithms for various tasks such as object detection, semantic segmentation, and face clustering. Zhang's expertise in deploying deep learning models enhances the functionality and performance of mobile applications in the photography domain.