Prof., Shanghai Jiao Tong University, China
Chao-Chen Gu is a distinguished professor at the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University. Renowned for his contributions to the fields of electromechanical systems, intelligent robotics, and precision instruments, he has pioneered research in intelligent machine vision and advanced motion control. With numerous national and provincial key projects under his belt, Professor Gu is a leading figure in his domain, recognized for his innovative approach to solving complex engineering problems.
Profile
Strengths for the Award
- Extensive Research Projects: Professor Gu has completed over ten national and provincial-level key projects. This demonstrates his active involvement in significant research efforts that likely have substantial community impact.
- Innovative Contributions: His work in machine vision and precision control, especially innovations in micro precision measurement, robot vision cognition, and high-order nonlinear system disturbance rejection and control, indicates a focus on advanced technology that can significantly benefit various sectors, including healthcare, manufacturing, and robotics.
- High Volume of Patents and Publications: With over 70 patents and 80 published works, Professor Gu’s contributions to his field are well-documented and recognized, highlighting his role in advancing technology and engineering.
- Industry Projects: The completion of more than five consultancy or industry projects suggests practical applications of his research, which is a key factor for community impact.
Areas for Improvement
- Professional Memberships and Collaborations: There is a lack of listed professional memberships and collaborations. Engaging more with professional organizations and collaborating with other researchers or institutions could enhance the reach and impact of his work.
- Books and Editorial Appointments: No books or editorial appointments were mentioned. Authoring books and holding editorial positions could further establish his authority in his field and disseminate his research more broadly.
- Explicit Community Impact: While his research is undoubtedly advanced, the specific community impact of his projects could be more explicitly stated. Providing concrete examples of how his work has benefitted communities or specific sectors would strengthen his application.
🎓 Education:
Chao-Chen Gu earned his bachelor’s degree from Shandong University in 2007, followed by a Ph.D. in Mechanical Engineering from Shanghai Jiao Tong University in 2013. His academic journey has equipped him with a solid foundation in mechanical engineering and advanced technological systems, propelling his research career forward.
🧑💼 Experience:
Currently serving as a professor at Shanghai Jiao Tong University, Chao-Chen Gu has led more than ten key national and provincial-level projects. His expertise spans electromechanical systems, intelligent robotics, and precision instruments, with a notable focus on intelligent machine vision and advanced motion control.
🔬 Research Interests:
Chao-Chen Gu’s research interests lie in the realms of electromechanical systems, intelligent robotics, and precision instruments. He is particularly focused on intelligent machine vision and advanced motion control, contributing significantly to innovations in micro precision measurement, robot vision cognition, and high-order nonlinear system disturbance rejection and control.
🏆 Awards:
Chao-Chen Gu has not specified individual awards, but his prolific contributions to research and numerous completed projects reflect his standing as a leader in his field.
Publications
- An integrated AHP and VIKOR for design concept evaluation based on rough number
Authors: GN Zhu, J Hu, J Qi, CC Gu, YH Peng
Journal: Advanced Engineering Informatics
Year: 2015
Cited by: 329 articles
Link to publication
- Complementary patch for weakly supervised semantic segmentation
Authors: F Zhang, C Gu, C Zhang, Y Dai
Journal: Proceedings of the IEEE/CVF International Conference on Computer Vision
Year: 2021
Cited by: 131 articles
Link to publication
- FCBS model for functional knowledge representation in conceptual design
Authors: CC Gu, J Hu, YH Peng, S Li
Journal: Journal of Engineering Design
Year: 2012
Cited by: 48 articles
Link to publication
- Corporate innovation and R&D expenditure disclosures
Authors: C Chen, J Gu, R Luo
Journal: Technological Forecasting and Social Change
Year: 2022
Cited by: 30 articles
Link to publication
- Imaging Mueller matrix ellipsometry with sub-micron resolution based on back focal plane scanning
Authors: C Chen, X Chen, C Wang, S Sheng, L Song, H Gu, S Liu
Journal: Optics Express
Year: 2021
Cited by: 26 articles
Link to publication
- SVMs multi-class loss feedback based discriminative dictionary learning for image classification
Authors: BQ Yang, XP Guan, JW Zhu, CC Gu, KJ Wu, JJ Xu
Journal: Pattern Recognition
Year: 2021
Link to publication