Prof. Guoping Tan | Sonogram AI Award | Best Researcher Award

Prof. Guoping Tan, Hohai University,  China

Tan Guoping is a seasoned Professor at Hohai University’s College of Computer and Information, with a rich academic background spanning from Saarland University in Germany to Southeast University in China. With a Ph.D. in Information Science, Tan’s expertise lies in various areas including mechanical manufacturing, automation, and electronic information. Throughout his career, he has held significant positions such as Senior Engineer at ZTE Corporation and later transitioned into academia, where he has been serving as a Professor since 2016. Tan’s research contributions are extensive, focusing notably on ultrasound image processing and deep learning applications in medical diagnosis. He has led and participated in multiple projects funded by the National Natural Science Foundation of China, showcasing his dedication to advancing scientific knowledge. Tan’s work has earned him recognition, including patents for innovative methods in wireless communication systems.

Professional Profile:

Scopus

📚 Education:

  • Ph.D. in Information Science, Saarland University, Germany (2005-2009)
  • Master’s in Mechanical Manufacturing and Automation, Southeast University (1997-2000)
  • Bachelor’s in Mechanical Design and Manufacturing, China University of Geosciences (Wu Han) (1993-1997)

💼 Work Experience:

  • Professor, Hohai University, College of Computer and Information (2016-present)
  • Associate Professor, Hohai University, College of Computer and Information (2009-2016)
  • Senior Engineer, CDMA Division, ZTE Corporation (Shenzhen) (2000-2003)

🔬 Research and Academic Contributions:

  • Hosted and participated in projects funded by the National Natural Science Foundation of China.
  • Representative treatises include articles on ultrasound-guided interventions and deep-learning-aided ultrasound diagnosis.

🏆 Awards and Patents:

  • Holds multiple patents in the field of wireless communications and networks.
  • Recognized for contributions to reducing interference in wireless systems

Publication Top Notes:

  1. Age of Information in V2V-Enabled Platooning Systems
    • Author: Zhou, S., Li, S., Tan, G.
    • Published Year: 2024
    • Journal: IEEE Internet of Things Journal
  2. A Multi-Layer Model Based on Transformer and Deep Learning for Traffic Flow Prediction
    • Author: Hu, H.-X., Hu, Q., Tan, G., Zhang, Y., Lin, Z.-Z.
    • Published Year: 2024
    • Journal: IEEE Transactions on Intelligent Transportation Systems
  3. Robust tip localization under continuous spatial and temporal constraints during 2D ultrasound-guided needle puncture
    • Author: Wang, R., Tan, G., Liu, X.
    • Published Year: 2023
    • Journal: International Journal of Computer Assisted Radiology and Surgery
  4. Performance Analysis of a Reconfigurable-Intelligent-Surfaces-Assisted V2V Communication System
    • Author: Li, K., Zhou, S., Tan, G.
    • Published Year: 2023
    • Journal: Electronics (Switzerland)
  5. On the Deployment of Clustered Power Beacons in Random Wireless Powered Communication
    • Author: Zhou, S., Dai, H., Sun, H., Tan, G., Ye, B.
    • Published Year: 2023
    • Journal: IEEE Transactions on Vehicular Technology
    • Cited By: 2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Prof. Guoping Tan | Sonogram AI Award | Best Researcher Award

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