Prof. Dr. Yinwei Li | Radar Remote Sensing | Best Researcher Award

Prof. Dr. Yinwei Li, University of Shanghai for Science and Technology, China

Dr. Yinwei Li is a Professor at the University of Shanghai for Science and Technology, specializing in radar detection and terahertz imaging. He received his Ph.D. from the University of Chinese Academy of Sciences in 2014 and earned his Bachelor’s degree from the University of Electronic Science and Technology of China in 2009. Dr. Li began his career at the Shanghai Radio Equipment Research Institute, where he served as an Engineer and later as a Senior Engineer from 2014 to 2019. He joined the University of Shanghai for Science and Technology in 2019 as an Associate Professor and was promoted to Professor in 2024. Actively engaged in the academic community, Dr. Li has been a reviewer for prominent journals including IEEE TGRS, IEEE J-STARS, IEEE GRSL, and the IEEE Sensors Journal. He is a member of IEEE and the Chinese Institute of Electronics and serves as a communications review expert for the National Natural Science Foundation of China. His contributions continue to advance the frontiers of imaging and detection technologies.

Professional Profile:

ORCID

🏆 Summary of Suitability – Best Researcher Award

Prof. Yinwei Li is an exceptionally qualified candidate for the Best Researcher Award, with an outstanding academic and professional trajectory in advanced radar detection and terahertz imaging technologies. Holding a Ph.D. from the prestigious University of Chinese Academy of Sciences, Prof. Li has consistently demonstrated research excellence across both academic and industry settings.

🎓 Education Background

📚 Bachelor’s Degree
University of Electronic Science and Technology of China
Sept 2005 – July 2009
🎓 Ph.D. in Radar/Imaging Technologies
University of Chinese Academy of Sciences
Sept 2009 – July 2014

💼 Work Experience

👨‍🏫 Professor
University of Shanghai for Science and Technology
July 2024 – Present
👨‍🏫 Associate Professor
University of Shanghai for Science and Technology
April 2019 – June 2024
🧑‍🔧 Senior Engineer
Shanghai Radio Equipment Research Institute
Aug 2017 – March 2019
🧑‍💻 Engineer
Shanghai Radio Equipment Research Institute
Aug 2014 – July 2017

🏅 Achievements & Honors

🛰️ Contributed significantly to radar detection and terahertz imaging technologies
📝 Reviewer for prestigious journals like IEEE TGRS, IEEE J-STARS, GRSL, and Sensors Journal
🧠 Expert Reviewer for the National Natural Science Foundation of China (2017–Present)
🌐 IEEE Member since 2016
🎖️ Member of the Chinese Institute of Electronics since 2015

Publication Top Notes:

A Novel Deep Unfolding Network for Multi-Band SAR Sparse Imaging and Autofocusing

A Hierarchical Feature Fusion and Attention Network for Automatic Ship Detection From SAR Images

A Two-Step Motion Compensation Method for Polar Format Images of Terahertz SAR Based on Echo Data

An Adaptive Nonlinear Phase Error Estimation and Compensation Method for Terahertz Radar Imaging System

A Novel 2-D Autofocusing Algorithm for Real Airborne Stripmap Terahertz Synthetic Aperture Radar Imaging

Generalized Persistent Polar Format Algorithm for Fast Imaging of Airborne Video SAR

A Novel Multistage Back Projection Fast Imaging Algorithm for Terahertz Video Synthetic Aperture Radar

Ms. Oumayma Sadgui, IAV Hassan II, Morocco,

Oumayma Sadgui is a Water and Forest Engineer currently working in Ifrane National Park and pursuing her Ph.D. at IAV Hassan II, specializing in Natural Resources Economics and Environment. With a rich educational background, she holds a State Engineer diploma in forestry economics from the National School of Forest Engineers (ENFI), along with diplomas in general forestry and agronomy. Since 2022, she has been actively involved with the National Water and Forests Agency and the IMU of the PLAR project, focusing on ecotourism development in Ifrane National Park. Oumayma has field experience in surveys, socio-economic and ecological diagnoses, forest inventories, and vegetation studies. She is skilled in statistical data analysis using SPSS, digital cartography (GIS), and remote sensing. Her work is complemented by her ability to lead workshops and training sessions.

Suitability of Oumayma Sadgui for the Research for Women Researcher Award

Academic and Research Background:
Oumayma Sadgui’s strong academic and research background, particularly in natural resources economics and environmental sustainability, makes her a suitable candidate for the award. She holds a Ph.D. candidacy at IAV Hassan II in Natural Resources Economics and has completed significant research on ecosystem services, hydrologic systems, and forest economics. Her focus on economic evaluations of ecosystem services within protected areas like Ifrane National Park demonstrates a clear commitment to research on sustainable development and environmental conservation.

Education

2021-2024: PhD Candidate in Natural Resources Economics and Environment at IAV Hassan II.

2019-2021: State Water and Forest Engineer Diploma, specializing in Forestry Economics from ENFI (National School of Forest Engineers).

2017-2019: Diploma in General Forestry from ENFI.

2015-2017: Two years of preparatory cycle in Agronomy at ENAM.

2014-2015: Baccalaureate (Very Good Honors) in Life and Earth Sciences from Maarabat Boudnib Errachidia High School.

Professional Experience

Since 2022: Engineer at the National Water and Forests Agency, involved in the PIAR Project for ecotourism development in Ifrane National Park.

2021: End of study dissertation on the Economic Evaluation of Ecosystem Services in the Toubkal National Park.

2019: Summer Internship at the Provincial Direction of Water and Forests in Casablanca. Participated in an integrated development project in the Ben Slimane region and a multidisciplinary tour in the Middle Atlas and Rif.

2018: Summer Internship at the Regional Direction of Water and Forests in the Middle Atlas. Participated in a multidisciplinary tour in the Middle Atlas and East.

2014: Internship on a farm in Errachidia Province.

Publication top Notes: