Zhao Zhigang

Zhao Zhigang is an Associate Professor at the School of New Materials and New Energy, Shenzhen University of Technology, where he has been employed since May 2017. Previously, he served as a Lecturer at the School of Optoelectronic Engineering, Shenzhen University (2013-2017) and completed postdoctoral research at Shenzhen University (2010-2012) after earning his PhD from Huazhong University of Science and Technology. His academic journey began with undergraduate and master's studies at PLA Ordnance Engineering College (now Army Engineering University).

His educational background includes:

• PhD in Optical Engineering, Huazhong University of Science and Technology (2005-2010)
• Master's in Optical Engineering, PLA Ordnance Engineering College (2002-2005)
• Bachelor's in Military Optoelectronic Engineering, PLA Ordnance Engineering College (1995-1999)

Zhao's research focuses on hyperspectral imaging systems and machine learning applications for material classification. His work emphasizes embedded image data acquisition and processing using ARM and FPGA platforms, with significant contributions to micro-hyperspectral imaging technology. His research spans three primary areas: hyperspectral image processing on ARM/FPGA systems, machine learning applications in spectral analysis, and embedded AI implementations on FPGA/Zynq platforms. This interdisciplinary work bridges optical engineering, computer vision, and hardware design.

Analysis of his recent publications reveals a strong emphasis on hyperspectral data compression techniques, machine learning applications for spectral analysis, and embedded system implementations. His work demonstrates a consistent focus on practical applications of hyperspectral imaging in fields ranging from food quality assessment to battery health monitoring, with increasing incorporation of deep learning techniques in recent years.

His scientific recognition includes:

• Multiple teaching awards at Shenzhen University of Technology (2019-2024)
• Shenzhen City high-level professional talent designation (2016)
• Numerous national competition awards as student supervisor (2016-2023)
• Outstanding Paper Award at Shenzhen Optical Society (2010)

Zhao has secured substantial research funding as Principal Investigator, including horizontal projects (2023-2024), Shenzhen Postdoctoral Research Funding (2019-2020), and Shenzhen Basic Research Projects. He has successfully guided students in academic competitions, resulting in five national first prizes. His research group maintains strong industry connections through multiple school-enterprise cooperation projects focused on practical applications of hyperspectral imaging technology.

His laboratory work centers on FPGA-based embedded systems for hyperspectral imaging, with recent projects developing micro-hyperspectral spectrometers for UAV platforms, real-time video processing systems, and specialized hardware for spectral data acquisition and compression. These efforts demonstrate a clear trajectory from fundamental optical engineering toward practical applications of machine learning in spectral analysis.