Assoc Prof Dr. Yifan Shen, Liaoning Technical University, China

Yifan Shen is an Associate Professor at the School of Surveying and Geo-Informatics, Liaoning Technical University. He earned his Ph.D. in Surveying Science and Technology from Liaoning Technical University in June 2022, where he also completed his M.Sc. and B.Sc. degrees in the same field. Since August 2022, he has been serving as a Postdoctoral Researcher at Liaoning Technical University. His research focuses on groundwater storage anomalies, terrestrial water storage, and machine learning applications in environmental monitoring. Shen has published extensively in journals such as Remote Sensing and IEEE Access, and holds several patents related to water storage anomaly analysis and deep learning techniques. He has received notable awards, including the First Prize in Innovation and Entrepreneurship from the China Invention Association and the Second Prize in Innovation and Development from the China Productivity Promotion Center Association, both in 2022.

Summary of Suitability for Best Scholar Award:

Yifan Shen’s academic journey and research achievements position him as an exemplary candidate for the Best Scholar Award. With a solid educational foundation from Liaoning Technical University, including a Ph.D. in Surveying Science and Technology, Shen has demonstrated exceptional scholarly rigor and innovation throughout his career.

Publication top Notes:

Improving the Accuracy of Groundwater Storage Estimates Based on Groundwater Weighted Fusion Model

Improving the SSH Retrieval Precision of Spaceborne GNSS-R Based on a New Grid Search Multihidden Layer Neural Network Feature Optimization Method

Inverted Algorithm of Groundwater Storage Anomalies by Combining the GNSS, GRACE/GRACE-FO, and GLDAS: A Case Study in the North China Plain

Improving the Inversion Accuracy of Terrestrial Water Storage Anomaly by Combining GNSS and LSTM Algorithm and Its Application in Mainland China

Feature Extraction Algorithm Using a Correlation Coefficient Combined With the VMD and Its Application to the GPS and GRACE

Assoc Prof Dr. Lijia Cao | Intelligent Tracking | Best Researcher Award

Assoc Prof Dr. Lijia Cao, Sichuan University of Science & Engineering, China

Cao Lijia, born on October 26, 1982, in Zigong, China, is an accomplished Associate Professor and the Associate Dean of the School of Computer Science and Engineering at Sichuan University of Science & Engineering. A distinguished scholar, Cao has published two books and over 100 peer-reviewed papers, contributing significantly to his field. His extensive research portfolio includes leading or participating in more than 30 scientific research programs, including those funded by the National Natural Science Foundation of China. His efforts have been recognized with awards for scientific and technological advancement. Cao also serves as a reviewer for prestigious international journals and conferences, such as IEEE Transactions on Industrial Informatics (TII), IEEE Transactions on Aerospace and Electronic Systems (TAES), AES Conference on Test and Evaluation (AESCTE), IET Control Theory and Applications (CTA), and the International Federation of Automatic Control (IFAC). His recent research interests focus on navigation and control for unmanned aerial vehicles (UAVs), computer vision, and artificial intelligence technology.

Professional Profile

ORCID

Professional Overview 🚀🖥️:

Professor Cao has made significant contributions to the field of computer science and engineering. He has authored 2 books and published over 100 peer-reviewed papers. His research has led him to participate in and lead more than 30 scientific research programs, including projects funded by the National Natural Science Foundation of China. For his efforts, he has received awards for scientific and technological advancements. Additionally, he serves as a reviewer for various prestigious international journals and conferences, such as IEEE TII, IEEE TAES, AESCTE, IET CTA, and IFAC.

Research Interests 🤖✈️:

His recent research interests include navigation and control for unmanned aerial vehicles (UAVs), computer vision, and artificial intelligence technology.

Education 🎓:

Ph.D. Degree in Control Science and Engineering from Xi’an Research Institute of Hi-Tech, Xi’an, China (04.2008 – 06.2012)
M.S. Degree in Precision Instrument from Xi’an Research Institute of Hi-Tech, Xi’an, China (09.2005 – 03.2008)
B.E. Degree in Automatic Test and Control from Xi’an Research Institute of Hi-Tech, Xi’an, China (09.2001 – 08.2005)

Work Experience 🏫:

Associate Professor, Sichuan University of Science & Engineering, Zigong, China (12.2018 – Present)
Lecturer, Sichuan University of Science & Engineering, Zigong, China (04.2016 – 11.2018)
Lecturer, Xi’an Research Institute of Hi-Tech, Xi’an, China (07.2012 – 04.2016)

Professor Cao Lijia continues to influence the fields of UAV navigation, computer vision, and artificial intelligence through his dedicated research and academic contributions.

Assoc Prof Dr. Yifan Shen | Remote Tracking Award | Best Scholar Award

Assoc Prof Dr. Yifan Shen | Remote Tracking Award | Best Scholar Award

Assoc Prof Dr. Yifan Shen, Liaoning Technical University, China

Professional Profile:

Summary of Suitability for Best Scholar Award:

Education:

Work Experience:

Publication top Notes:

Improving the Accuracy of Groundwater Storage Estimates Based on Groundwater Weighted Fusion Model

Improving the SSH Retrieval Precision of Spaceborne GNSS-R Based on a New Grid Search Multihidden Layer Neural Network Feature Optimization Method

Inverted Algorithm of Groundwater Storage Anomalies by Combining the GNSS, GRACE/GRACE-FO, and GLDAS: A Case Study in the North China Plain

Improving the Inversion Accuracy of Terrestrial Water Storage Anomaly by Combining GNSS and LSTM Algorithm and Its Application in Mainland China

Feature Extraction Algorithm Using a Correlation Coefficient Combined With the VMD and Its Application to the GPS and GRACE