Shanghai University, China
Dr. Juan Chen is a distinguished researcher and educator in the field of big data analytics, autonomous driving, and computer vision, currently serving as a faculty member at SILC Business School, Shanghai University since 2009. With over two decades of academic and research experience, she specializes in developing cutting-edge AI models, especially for transportation and e-commerce applications. Her expertise in deep learning and intelligent transportation systems has earned her recognition in core academic journals and scientific communities.
Publication Profile
ORCID
๐ Education Background
Dr. Chen obtained her Ph.D. in Control Science and Engineering from Tongji University, China in 2008. She previously completed her Master’s degree at the School of Automation, Xiโan Jiaotong University in 2003, and earned her Bachelorโs degree in Energy and Power Engineering from Shanghai University of Technology in 1996. Her robust academic background laid the foundation for her interdisciplinary work across AI, engineering, and data science.
๐ซ Professional Experience
Dr. Chen began her academic career as a lecturer at the School of Electronic and Information Engineering, Northern University for Nationalities from 1996 to 1998 and returned to the same school from 2001 to 2002. Since 2009, she has been actively contributing to teaching and research at SILC Business School, Shanghai University. Her teaching portfolio includes essential courses such as Python Program Design, Fundamentals of Data Analysis, and Deep Learning Practice in Computer Vision, which bridge theory with real-world AI practices.
๐ Awards and Honors
Dr. Chen has consistently published in prestigious journals indexed in SCI and ESCI, such as the International Journal of Distributed Sensor Networks, IET Intelligent Transport Systems, and Algorithms. Her research achievements, including core journal recognition by Peking University, reflect her impactful contributions to intelligent systems and optimization in traffic networks.
๐ฌ Research Focus
Dr. Chenโs research is centered on big data analysis applied to transportation and e-commerce, autonomous vehicle control, computer vision, and deep learning. She has developed advanced models such as graph convolutional networks and spatiotemporal LSTM to address challenges in vehicle trajectory prediction, traffic congestion, and signal optimization. Her work integrates reinforcement learning, fuzzy logic, and multi-objective optimization to improve real-world systems’ efficiency and sustainability.
๐ Conclusion
With an unwavering commitment to advancing AI applications in intelligent transportation, Dr. Juan Chen exemplifies interdisciplinary excellence. Her blend of academic rigor, research innovation, and practical teaching continues to inspire the next generation of engineers and data scientists. ๐๐ก๐
๐ Top Publications :
Urban expressway on-ramp control based on improved NSGA-โ
ก algorithm of reinforcement learning
Journal of Shanghai University (Natural Science Edition), 2023
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Vehicle Trajectory Prediction Based on Local Dynamic Graph Spatiotemporal-LSTM Model
World Electric Vehicle Journal, 2024
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KGCN-LSTM: A graph convolutional network considering knowledge fusion of point of interest for vehicle trajectory prediction
IET Intelligent Transport Systems, 2023
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Connected and automated vehicle control at unsignalized intersection based on deep reinforcement learning in vehicle-to-infrastructure environment
International Journal of Distributed Sensor Networks, 2022
Cited by: Search in Google Scholar
Multi-class expressway traffic control for reducing congestion and emissions based on fuzzy NSGA
Journal of Shanghai University (Natural Science Edition), 2021
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Freeway Traffic Congestion Reduction and Environment Regulation via Model Predictive Control
Algorithms, 2019
Cited by: Google Scholar
Traffic congestion prediction based on GPS trajectory data
International Journal of Distributed Sensor Networks, 2019
Cited by: Search in Google Scholar