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.
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