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

Assoc. Prof. Dr. Eugénio Rocha ,University of Aveiro,Portugal

Eugénio Rocha graduated in Computer Science (Artificial Intelligence) from the University of Coimbra in 1994 and earned his Master’s (1998) and PhD (2004) in Mathematics (Nonlinear Control Theory) from the University of Aveiro. He has been an Associate Professor at the University of Aveiro’s Department of Mathematics since 2004. Rocha has served as a member of the Portuguese Mathematical Society Board of Directors and the European Mathematical Society’s Committee on Electronic Publishing. His research spans theoretical and applied mathematics, including Ordinary and Partial Differential Equations, Functional Analysis, and Nonlinear Control Theory, with applications in various fields such as biological systems and nanotechnology. Rocha has coordinated several national and international research projects and received notable awards, including the Portuguese Scientific and Technological Innovation Prize.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award: Eugénio Alexandre Miguel Rocha

Eugénio Alexandre Miguel Rocha is a highly suitable candidate for the Research for Best Researcher Award. His exceptional academic qualifications, innovative research contributions, leadership roles, and significant awards reflect his outstanding impact in the field of mathematics and its applications. His broad expertise and contributions to both theoretical and applied aspects of mathematics, along with his active participation in impactful research projects, make him a distinguished candidate deserving of this recognition.

🎓Education:

Eugénio Rocha earned his Bachelor of Science in Computer Science with a focus on Artificial Intelligence from the University of Coimbra in 1994. He then pursued advanced studies at the University of Aveiro, where he completed his Master of Science in Mathematics, specializing in Nonlinear Control Theory, in 1998. Following this, he obtained his PhD in Mathematics, also in Nonlinear Control Theory, from the same institution in 2004.

🏢Work Experience:

Eugénio Rocha has been serving as an Associate Professor in the Department of Mathematics at the University of Aveiro since 2004. Prior to this role, he was an Assistant Professor at the same institution from January 2004 to February 2021. Additionally, he held a position as an Assistant Professor at Universidade de Aveiro from 2013 to 2019.

🏆Awards and Honors:

Eugénio Rocha was awarded the Portuguese Scientific and Technological Innovation Prize, Engo Jaime Filipe in 2019. Additionally, he received a Special Mention for the Innovation Prize in Information Technology and Communication from APDC/Siemens in 2006.

Publication Top Notes:

Title: Estimating Data Complexity and Drift Through a Multiscale Generalized Impurity Approach
Title: Adaptive Framework for Maintenance Scheduling Based on Dynamic Preventive Intervals and Remaining Useful Life Estimation
Title: Robust Mortality Prediction on a Recirculating Aquaculture System
Title: The Effect of Delay Techniques on a Lassa Fever Epidemic Model
Title: Advancements in Epidemiological Modeling: Bayesian Regularization Neural Networks for Smoke Dynamics