Dr. Ze You | Smart Detection Awards | Best Researcher Award

Dr. Ze You, Liaoning Technical University, China

Ze You is a dedicated Ph.D. student in the School of Surveying, Mapping, and Geographic Sciences at Liaoning Technical University, specializing in the science and technology of surveying and mapping. He holds a Master’s and Bachelor’s degree in the same field, showcasing a consistent academic focus and excellence. With a strong foundation in aerial photogrammetry and remote sensing, Ze is proficient in Python, Matlab, and software tools like ArcGIS, Tscan, and CloudCompare. His professional experience includes working at Wuhan Xuntu Space-Time Software Technology Co., Ltd., where he provided technical support, pre-sales assistance, and feedback to the R&D department. A recipient of numerous scholarships and awards, including a National Scholarship for academic excellence, Ze has demonstrated outstanding performance in competitions such as the MathorCup University Mathematical Modeling Challenge and the National College Students’ Algorithm Design and Programming Challenge. Ze combines his technical skills and academic achievements with a passion for innovation and problem-solving in surveying and mapping sciences.

Professional Profile:

SCOPUS

Suitability of Ze You for the Best Researcher Award

Ze You is a highly qualified candidate for the Best Researcher Award, showcasing a robust academic, professional, and research portfolio that highlights his contributions to the field of surveying, mapping, and remote sensing. Below are the key factors supporting his nomination:

Professional Skills & Expertise 🖥️📈

Certified in C programming language 💻.
Proficient in Python 🐍 and MATLAB 📊, and skilled in tools like ArcGIS, Tscan, CloudCompare, PyCharm, and VS Code.
Certified Assistant Engineer in Aerial Photogrammetry and Remote Sensing ✈️🌌.

Work Experience 🏢🔧

Technical Support Specialist at Wuhan Xuntu Space-time Software Technology Co., Ltd. (2019–2020)
- Delivered pre-sales support and resolved customer issues through after-sales services 🤝.
- Conducted software testing, reported bugs, and provided improvement recommendations 🛠️.
- Authored operational documents and managed the company’s WeChat public account 📱.

Achievements & Awards 🏆🌟

Academic Excellence
- National Scholarship for Top 3% Students (October 2023) 🎖️.
- Scholarships for Top 35% Students (2016, 2023) 🎓.
- Dalian Yellow Sea and Bohai Sea Surveying and Mapping Scholarship (May 2018) 🌊.
Competitions
- 🥈 9th China Surveying and Mapping Paper Competition – Second Prize (2017).
- 🥇 Liaoning Geography Star Competition – Individual First Prize, Group Second Prize (2018).
- 🏅 12th MathorCup – Second Prize (2022).
- 🏆 Algorithm Design Competitions – Gold (2022) and Silver Awards (2022).
- 🥉 Asia-Pacific Math Contest in Modeling – Third Prize (2023).
- 🥈 Dimension Cup Mathematical Modeling Challenge – Second Prize (2023).

Publication top Notes:

Combining geometrical and intensity information to recognize vehicles from super-high density UAV-LiDAR point clouds

Urban object classification of multispectral airborne LiDAR data with multidimensional Gauss mixture model and neighborhood constraints | 多维GMM 与邻域约束的多光谱机载LiDAR 数据城市地物分类

Airborne MS-LiDAR data classification by combining NDRI features and spatial correlation | 联合NDRI特征和空间相关性的机载MS-LiDAR数据分类

A method for data density reduction in overlapped airborne LiDAR strips

Ms. Elahe Afsharmanesh, Shahrood University of Technology, Iran

Elahe Afsharmanesh is a Ph.D. candidate in Nano Physics at Shahrood University of Technology, Iran, where she has been conducting research since September 2021. Her doctoral thesis focuses on the study of gas and photo sensing properties of nanostructures and nano-heterostructures based on SnO2, under the supervision of Prof. Hamid Haratizadeh. Elahe holds a Master of Science degree in Solid State Physics from the Islamic Azad University, Science & Research branch, Tehran, where she completed her thesis on the optical and morphological properties of ZnO/CNTs nanocomposites and their application in electrochemical sensors. She graduated with an outstanding GPA of 19.20/20.

Summary of Suitability for the Best Researcher Award

Elahe Afsharmanesh, a Ph.D. candidate in Nano Physics at Shahrood University of Technology, Iran, is an outstanding candidate for the Best Researcher Award due to her exceptional research contributions, academic excellence, and deep involvement in the field of gas/photo sensing and nanomaterials. Her research, particularly on the design and application of metal oxide semiconductor sensors, 2D materials, and nanocomposites, has significant implications for advancing sensor technologies and their real-world applications.

Education:

Ph.D. Candidate in Nano Physics
Sep. 2021 – Present
Shahrood University of Technology, Shahrood, Iran
Thesis Title: Study of Gas / Photo Sensing Properties of Nanostructures and Nano-Heterostructures Based on SnO2
Supervisor: Prof. Hamid Haratizadeh

Master of Science in Solid State Physics
Feb. 2011 – Feb. 2013
Islamic Azad University, Science & Research Branch, Tehran, Iran
Thesis Title: Carbon Nanotubes Supporting Effect for Optical and Morphological Properties of ZnO/CNTs Nanocomposite and Its Application in Electrochemical Sensors
Supervisor: Dr. A. Pahlavan
GPA: 19.20/20

📚 Previous Experience:

High School Teacher, Sari, Iran

Scientific Member, Student Research Institute, Sari, Iran

Publication top Notes:

Self-powered, highly selective and fast response time ammonia gas sensors based on an rGO/SnO₂ nanocomposite

An improved electrochemical sensor based on triton X-100 functionalized SnO₂ nanoparticles for ultrasensitive determination of cadmium

Synthesis of CdO nanoparticles using direct chemical precipitation method: Fabrication of novel voltammetric sensor for square wave voltammetry determination of chlorpromazine in pharmaceutical samples

Electrochemical behavior of morphine at ZnO/CNT nanocomposite room temperature ionic liquid modified carbon paste electrode and its determination in real samples