Mr. Cailin Li | Data Integration | Best Researcher Award

Mr. Cailin Li | Data Integration | Best Researcher Award 

Mr. Cailin Li, Shandong University of Technology, China

Cailin Li, Ph.D., is a Professor in the Department of Surveying and Mapping Engineering at the School of Civil Engineering and Geomatics, Shandong University of Technology, China. He holds a Bachelor’s degree in Geographic Information Systems from Henan University (2006), a Master’s degree in Cartography and Geographical Information Systems from Wuhan University (2008), and a Ph.D. in Photogrammetry and Remote Sensing from Wuhan University (2011). With extensive academic experience, he has served as a Lecturer at Hubei University of Technology and later at Shandong University of Technology, where he was promoted to Associate Professor in 2018 and Professor in 2023. His research focuses on LiDAR point cloud fusion, 3D laser scanning, photogrammetry, and cultural heritage restoration. He has secured multiple research grants, including funding from the National Natural Science Foundation of China and the Shandong Natural Science Foundation. Additionally, he teaches courses on photogrammetry, data structures, and UAV-based low-altitude photogrammetry applications.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award

Dr. Cailin Li, a Professor at Shandong University of Technology, is a highly qualified candidate for the Best Researcher Award, given his outstanding contributions to photogrammetry, remote sensing, and geographic information systems (GIS). His work focuses on LiDAR-based urban intelligence, 3D modeling, and cultural heritage restoration, making significant advancements in both theoretical and applied research.

📌 Education

  • 🎓 Bachelor’s Degree in Geographic Information System, Henan University, China (June 2006)
  • 🎓 Master’s Degree in Cartography and Geographical Information System, Wuhan University, China (June 2008)
  • 🎓 Ph.D. in Photogrammetry and Remote Sensing, Wuhan University, China (June 2011)

💼 Work Experience

  • 👨‍🏫 Lecturer, Department of Software Engineering, Hubei University of Technology, China (July 2011 – September 2013)
  • 👨‍🏫 Lecturer, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (October 2013 – December 2017)
  • 🏅 Associate Professor, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (January 2018 – December 2022)
  • 🎓 Professor, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (January 2023 – Present)

🏆 Achievements & Research Grants

  • 📡 Principal Investigator of multiple funded research projects in photogrammetry, LiDAR, 3D modeling, and cultural heritage restoration.
  • 💰 Major Research Grants:
    • 🔬 Shandong Natural Science Foundation (2023-2025) – RMB 100,000
    • 🔬 National Natural Science Foundation of China (2017-2019) – RMB 228,000
    • 🏛 Shandong Key Research & Development Program (2018-2019) – RMB 250,000
    • 🎭 Cultural Heritage Restoration & AR Project (2018-2020) – Self-financed

🏅 Awards & Honors

  • 🏆 Recognized for contributions to LiDAR-based urban information recognition
  • 📖 Published impactful research in remote sensing, GIS, and 3D modeling
  • 🏅 Recognized for excellence in teaching photogrammetry and GIS applications

Publication Top Notes:

Research on Multi-Source Data Fusion Urban Functional Area Identification Method Based on Random Forest Model

POI Data Fusion Method Based on Multi-Feature Matching and Optimization

Semantic Segmentation of Point Cloud Scene via Multi-Scale Feature Aggregation and Adaptive Fusion

Street Community-Level Urban Flood Risk Assessment Based on Numerical Simulation

Vasyl Martsenyuk | Data Science | Best Researcher Award

Vasyl Martsenyuk | Data Science | Best Researcher Award

Prof. Vasyl Martsenyuk, University of Bielsko-Biala, Poland.

Prof. Vasyl Martsenyuk is a prominent academic in the field of Computer Science and Automation, currently serving as a Full Professor and Head of the Department at the University of Bielsko-Biała, Poland. With a strong background in data science, machine learning, and cybernetics, he has significantly contributed to educational reforms and various research projects in Europe. An active member of international academic communities, Prof. Martsenyuk has published extensively and engaged in numerous collaborations, fostering advancements in digital pedagogy and applied artificial intelligence. His dedication to education and research continues to inspire students and colleagues alike. 🎓🌍💻

Publication Profile

Scopus
Orcid

Education and Experience

Education:
  • Ph.D. in Technical Sciences (2005)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics
    Specialty: System Analysis and Decision Making 📚
  • Diploma of Full Professor in Medical Informatics with Biophysics (2005)
    Ministry of Education and Sciences of Ukraine 🇺🇦
  • Candidate of Physical and Mathematical Sciences (Ph.D.) (1996)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics
    Specialty: System Analysis and Decision Making 🎓
  • Diploma in Applied Mathematics (1993)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics, Ukraine 🧮
  • Diploma in Pharmacy (2010)
    Kharkiv National Pharmaceutical University, Ukraine 💊
Experience:
  • Full Professor & Head of Department (2020-Present)
    University of Bielsko-Biała, Department of Computer Science and Automation 🏫
  • Associate Professor (2015-2020)
    University of Bielsko-Biała, Department of Computer Science and Automation 👨‍🏫
  • Scientific Supervisor (2014-2016)
    Institute of Information Technologies and Learning Tools, National Academy of Pedagogical Sciences of Ukraine 🔬
  • Full Professor & Head of Medical Informatics Department (2005-2016)
    Ternopil Medical University, Ukraine 🏥
  • Vice-Rector (2005-2015)
    Ternopil Medical University, Ukraine 🎖️

Suitability For The Award

Prof. Vasyl Martsenyuk is a distinguished academic with a strong educational foundation, extensive professional experience, and significant contributions to computer science, medical informatics, and cybernetics. He has excelled in research areas such as data science, artificial intelligence, and system analysis, alongside leadership roles in academia and international projects. With numerous awards, publications, and innovative initiatives, he has demonstrated exceptional expertise and dedication. His impactful work and commitment to advancing knowledge make him highly deserving of the Best Researcher Award.

Professional Development

Prof. Martsenyuk has engaged in numerous international traineeships, focusing on advancements in digital pedagogy, applied artificial intelligence, and big data innovations. Notably, he participated in the Erasmus+ program and collaborated with institutions such as the University of Montenegro and Charles University in Prague. His efforts have emphasized fostering digital learning environments and enhancing educational methodologies in the fields of medicine and technology. These experiences reflect his commitment to continuous professional growth and adaptation to emerging technological trends in education. 🌐📚✨

Research Focus

Prof. Martsenyuk’s research centers on data science, encompassing machine learning, artificial intelligence, and big data analysis. He explores the application of reinforcement learning within cybernetics, focusing on control theory and system analysis. His mathematical investigations include functional-differential equations, population dynamics, and stability analysis. By integrating these disciplines, he aims to develop innovative solutions that advance scientific computing and enhance decision-making processes in complex systems. Prof. Martsenyuk’s work significantly contributes to the advancement of knowledge in computer science and its practical applications. 🔍📊🤖

Awards and Honors

  • Award of the Supreme Council of Ukraine (2007) 🏅
  • Award of the Prime Minister of Ukraine (2009) 🎖️

Publication Top Notes

  • A Method to Improve the Accuracy of Bridge Cranes Overload Protection Using the Signal Graph (2024) 📖
  • Neural Networks Toward Cybersecurity: Domain Map Analysis of State-of-the-Art Challenges (2024)
  • On Model of Recurrent Neural Network on a Time Scale: Exponential Convergence and Stability Research (2024)
  • The Influence of the Load Modelling Methods on Dynamics of a Mobile Crane (2024) 📖
  • Amperometric Biosensor Based on Glutamate Oxidase to Determine Ast Activity (2024) 📰
  • Аналітичний огляд підходів до проектування виробничих мереж (2024)
  • Designing a Competency-Focused Course on Applied AI Based on Advanced System Research on Business Requirements (2024)