Dr. Juan Lei | Sonar Imaging Awards | Best Researcher Award

Dr. Juan Lei | Sonar Imaging Awards | Best Researcher Award

Dr. Juan Lei, Northwestern Polytechnical University, China

Juan Lei was born in Shaanxi, She received her B.S. degree in Electronic Information Science and Technology from Northwest University, Xi’an, China, in 2008, and her M.S. degree from Northwestern Polytechnical University, Xi’an, China, in 2013. Since September 2018, she has been pursuing a Ph.D. at Northwestern Polytechnical University. Her primary research interests include image processing and deep learning, with a particular focus on underwater sonar signal processing. With expertise in Underwater Unmanned Vehicles and on-board sensors, she has been actively engaged in the development of underwater image recognition and segmentation technologies. She also serves as the Deputy General Manager of Xi’an Tianhe Maritime Technology Co. Ltd., a company dedicated to researching and manufacturing underwater robots and sensor-equipped devices for acquiring underwater images and data.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Juan Lei has demonstrated a strong commitment to research in the field of image processing, deep learning, and underwater sonar signal processing. Her academic journey, from obtaining a B.S. in Electronic Information Science and Technology to an ongoing Ph.D. at Northwestern Polytechnic University, highlights her dedication to advancing scientific knowledge.

📚 Education:

  • 🎓 B.S. in Electronic Information Science and Technology – Northwest University, Xi’an, China (2008)
  • 🎓 M.S. in [Electronic/Engineering Field] – Northwestern Polytechnic University, Xi’an, China (2013)
  • 🎓 Ph.D. Candidate in [Relevant Field] – Northwestern Polytechnic University, Xi’an, China (2018–Present)

💼 Work Experience:

  • 🏢 Deputy General Manager – Xi’an Tianhe Maritime Technology Co. Ltd.
    🔹 Specialized in underwater robotics and sensor-equipped devices for underwater data acquisition
    🔹 Focused on underwater image recognition and segmentation

🏆 Achievements, Awards & Honors:

  • 🥇 Expertise in image processing & deep learning
  • 🌊 Knowledge of Underwater Unmanned Vehicles (UUVs) & onboard sensors
  • 🎯 Research focus on underwater sonar signal processing
  • 🏅 Contributed to advancements in underwater image recognition & segmentation

Publication Top Notes:

CNN–Transformer Hybrid Architecture for Underwater Sonar Image Segmentation

 

Dr. Ming Zhu | Marine Geochemistry | Best Researcher Award

Dr. Ming Zhu | Marine Geochemistry | Best Researcher Award

Dr. Ming Zhu, Shenzhen Advanced Technology Research Institute, Chinese Academy of Sciences, China

Zhu Ming is a Senior Engineer at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, where he has been contributing since August 2018. He earned his Ph.D. in Optics from the Institute of Physics, Chinese Academy of Sciences, in January 2014, following a Bachelor’s degree in Optics from Dalian University of Technology in July 2007. His career includes roles as a Postdoctoral Researcher at Shenzhen University and a Project Assessment Manager at Nuctech Company Limited. Dr. Zhu also served as a Visiting Scholar at Lawrence Berkeley National Laboratory from November 2017 to March 2018. His research focuses on advanced optical spectroscopy, and he has authored notable publications in journals such as Applied Spectroscopy and Journal of Physical Chemistry C.

Professional Profile:

 

SCOPUS

Education 🎓:

  • Ph.D. in Optics: Institute of Physics, Chinese Academy of Sciences (2007/09 – 2014/01)
  • B.Sc. in Optics: Dalian University of Technology (2003/09 – 2007/07)

Professional Experience 💼:

  • Senior Engineer: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (2018/08 – Present)
  • Visiting Scholar: Lawrence Berkeley National Laboratory, USA (2017/11 – 2018/03)
  • Postdoctoral Researcher: Shenzhen University (2015/04 – 2018/05)
  • Project Assessment Manager: Nuctech Company Limited (2014/06 – 2014/10)

 

Publication top Notes:

Miniature mid-infrared photoacoustic gas sensor for detecting dissolved carbon dioxide in seawater