School of Transportation and Logistics Engineering | China
Author Profile
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Early Academic Pursuits
Dr. Jingjing Cao's academic journey commenced with a Bachelor of Engineering in Information and Computing Science from Dalian Maritime University. Subsequently, she pursued a Master of Science in Applied Mathematics before earning her Ph.D. from the Department of Computer Science at City University of Hong Kong.
Professional Endeavors
Dr. Cao's professional journey has been marked by significant contributions. She served as a Research Associate at Dalian Maritime University and later assumed roles as Assistant Professor and now Tenure Track Associate Professor at Wuhan University of Technology.
Contributions and Research Focus
With a focus on Machine Learning and its applications in transportation and logistics, Dr. Cao has made remarkable contributions. Her research spans various domains, including ensemble learning, deep learning, and optimization algorithms, as evidenced by her prolific publication record in reputable journals and conferences.
Accolades and Recognition
Dr. Cao's impactful research has garnered widespread recognition, exemplified by her receipt of the prestigious Best Researcher Award. Her publications in renowned journals and conferences underscore her standing as a leading figure in the field of Computer Science and Machine Learning.
Impact and Influence
Dr. Cao's work has left a lasting impact on the academic community and industry alike. Her research has not only advanced the theoretical understanding of Machine Learning but has also found practical applications in domains such as transportation, logistics, and industrial informatics.
Legacy and Future Contributions
As Dr. Cao continues her academic journey, her legacy is defined by a commitment to excellence in research and education. With ongoing projects and professional services, she remains dedicated to shaping the future of Computer Science and Machine Learning, leaving an indelible mark on the field.
Notable Publication
FE-Net: Feature enhancement segmentation network 2024
Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential evolution algorithm 2022 (24)
A two-stage model for forecasting consumers’ intention to purchase with e-coupons 2021 (15)
Adaptive sliding window based activity recognition for assisted livings 2020 (62)