Early Academic Pursuits

Assoc. Prof. Dr. Peixian Zhuang began his academic journey at the School of Informatics, Xiamen University, Xiamen, China, where he earned his Ph.D. degree in 2016. His doctoral research was recognized with the prestigious Outstanding Doctoral Dissertations of Fujian Province award in 2017. His early focus on informatics laid a strong foundation for his later work in cutting-edge areas such as image processing, computer vision, and machine learning.

Professional Endeavors

Assoc. Prof. Dr. Zhuang’s professional career began in 2017 when he joined the School of Electronics and Information Engineering at Nanjing University of Information Science and Technology as a Lecturer. He held this position until 2020, after which he advanced to a Postdoctoral Fellow and Assistant Research Fellow at the Department of Automation, Tsinghua University, Beijing, from 2020 to 2022. His interdisciplinary experience across leading institutions solidified his expertise in automation, image processing, and AI-driven methodologies. Currently, he serves as an Associate Professor in the Key Laboratory of Knowledge Automation for Industrial Processes at the School of Automation and Electrical Engineering, University of Science and Technology Beijing, contributing to academic advancements under the Ministry of Education.

Contributions and Research Focus

Assoc. Prof. Dr. Zhuang has an impressive portfolio of over 40 peer-reviewed papers, primarily in the domains of image processing and computer vision. His primary research interests lie in underwater image sensing, sparse representation, Bayesian machine learning, and deep learning. These areas of focus allow him to contribute substantially to advancements in image analysis techniques, particularly in the challenging underwater environment. His research is distinguished by innovative applications of machine learning models to solve complex image and vision challenges, making significant strides in both theoretical development and practical implementations.

Impact and Influence

Throughout his career, Dr. Zhuang has garnered significant recognition within the academic community. Notably, he was awarded the IFAC Engineering Applications of Artificial Intelligence Paper Prize Award for Application in 2023, marking a highlight in his research career. His extensive peer review work for top-tier journals, including the IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, and IEEE Transactions on Image Processing, has further solidified his standing as a respected authority in the field.

Academic Cites

In addition to his publishing and reviewing responsibilities, Dr. Zhuang has held numerous academic leadership positions. He served as the Regional Chair for the International Conference on Image and Graphics Processing (2025) and the Session Chair for the IEEE International Conference on Signal and Image Processing (2019). Moreover, he was appointed Area Editor of CAAI Artificial Intelligence Research in 2024 and Guest Editor for the Journal of Electronics and Information Technology in 2021. His contributions as a reviewer were acknowledged when he was named the Excellent Reviewer of the Journal of Electronics and Information Technology for 2022 and 2023.

Legacy and Future Contributions Highlight

Dr. Zhuang’s work continues to shape the fields of image processing and machine learning. His research, especially in underwater imaging, opens new avenues for exploration in both academic and industrial sectors. With his dedication to advancing AI applications and a growing list of accolades, Dr. Zhuang is set to remain a pivotal figure in the development of smart automation systems and computer vision. His role in organizing and leading future academic events, such as the International Conference on Image and Graphics Processing in 2025, highlights his ongoing influence and commitment to fostering innovation and collaboration in his field.