Dr. Jianqi Yan, Medical Image Analysis, Best Researcher Award

Doctorate at Macau University of Science and Technology, Macau

Professional Profile

🌟 Summary:

Dr. Jianqi Yan is a dedicated researcher and scientist currently pursuing a Doctor of Science degree at Macau University of Science and Technology. He completed his Master’s in Applied Mathematics and Data Science from the same institution in 2021.

🎓 Education:

  • Master of Applied Mathematics and Data Science, Macau University of Science and Technology, 2019.09-2021.07
  • Doctor of Science (in progress), Macau University of Science and Technology, 2021.09-Present

Academic Project Experience:

  • Improving the Performance of High Resolution Spectrogram Classification using Generative Adversarial Networks (GAN), 2020.06-2022.06
  • Predictions of the Magnetocaloric Performance in Mn-Fe-P-Si Compounds using Machine Learning, 2020.07-2022.03
  • Autoregressive Search of Gravitational Waves (GWs), 2022.06 – 2024.02

Industry Project Experience:

  • Enhanced Object Detection in Bronchoscopy Images, 2022.01- Present, R&D department, Quanbao Technologies Co. Ltd
  • Artificial Intelligence Based Recognition of Hysteromyoma, 2023.01- Present, R&D department, Kaiyun Technologies Co. Ltd
  • Artificial Intelligence Based Recognition of Middle ear structure, 2023.03- Present, R&D department, Kaiyun Technologies Co. Ltd

📖 Publications Top Noted:

Paper Title: Autoregressive search of gravitational waves: Denoising
  • Authors: Kim, S.; Hui, C.Y.; Yan, J.; Lin, L.C.-C.; Li, K.-L.
  • Journal: Physical Review D
  • Volume: 109
  • Issue: 10
  • Pages: 102003
  • Year: 2024
Paper Title: On improving the performance of glitch classification for gravitational wave detection by using Generative Adversarial Networks
  • Authors: Yan, J.; Leung, A.P.; Hui, C.Y.
  • Journal: Monthly Notices of the Royal Astronomical Society
  • Volume: 515
  • Pages: 4606-4621
  • Issue: 3
  • Year: 2022
  • Citations: 5
Paper Title: Accelerated design for magnetocaloric performance in Mn-Fe-P-Si compounds using machine learning
  • Authors: Tu, D.; Yan, J.; Xie, Y.; Li, J.; Leung, A.P.
  • Journal: Journal of Materials Science and Technology
  • Volume: 96
  • Pages: 241-247
  • Year: 2022
  • Citations: 16
Dr. Jianqi Yan | Medical Image Analysis | Best Researcher Award

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