Mr. Xiaoyu Li | Deep Learning | Best Researcher Award

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Mr. Xiaoyu Li, Deep Learning, Best Researcher Award

Xiaoyu Li at Beijing Forestry University, China

Professional Profile

🌟 Summary:

Xiaoyu Li is a university student at Beijing Forestry University’s School of Soil and Water Conservation. His research focuses on Remote Sensing & GIS, Image Processing, Land Use, Transportation, UAV utilization, and Ecology. He has contributed to national-level scientific projects, including the Qinghai-Tibet Plateau expedition, and has authored publications in prestigious journals. His work includes assessing human living environments, controlling soil erosion, and studying sediment connectivity and erosion dynamics. Xiaoyu Li has pioneered large-scale land use classification in northwestern China using UAV remote sensing and has contributed to understanding vegetation changes in the Qinghai-Tibet Plateau.

🎓 Education:

Currently pursuing studies at Beijing Forestry University, College of Soil and Water Conservation.

💼 Professional Experience:

Engaged in multiple national-level research projects focusing on environmental assessment, soil erosion control, and watershed dynamics.

🔬 Research Interests:

  • Remote Sensing & GIS
  • Image Processing and Analysis
  • Land Use and Transportation
  • UAV (drone) utilization and Ecology

📖 Publications Top Noted:

Paper Title: Land-Use Composition, Distribution Patterns, and Influencing Factors of Villages in the Hehuang Valley, Qinghai, China, Based on UAV Photogrammetry
  • Authors: Xiaoyu Li, Zhongbao Xin
  • Journal: Remote Sensing
  • Year: 2024

Dr. Seyed Hamed Godasiaei | Deep Learning | Best Researcher Award

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Dr. Seyed Hamed Godasiaei, Deep Learning, Best Researcher Award

Doctorate at Xi’an Jiaotong University, China

Professional Profile

Summary:

Dr. Seyed Hamed Godasiaei is a versatile professional with a rich background in chemical engineering, research, and development. His career spans various disciplines, showcasing expertise in computational fluid dynamics (CFD), machine learning applications, environmental experiments, and heat transfer analysis.

🎓 Education:

  • Ph.D. in Chemical Engineering: Xi’an Jiaotong University
  • M.S. in Chemical Engineering: Islamic Azad University of Shahrood
  • Bachelor’s in Chemical Engineering: Islamic Azad University of Birjand

💼 Professional Experience

  • Welding and Mapping GIS: Dr. Godasiaei has applied his skills in welding techniques and Geographic Information System (GIS) mapping to various projects.
  • Lab Researcher: His research includes extensive work in environmental experiments and heat transfer studies.
  • Python for Machine Learning: He leverages Python programming for advanced applications in machine learning.
  • C++ Programming: Proficient in C++ for developing computational models and simulations.

🏆 Achievements & Awards:

  • elected as a top researcher by the Iranian National Standards Organization.
  • Recognized for environmental research contributions at KhatamToos Co, Iran.

Skills and Expertise:

Dr. Godasiaei is proficient in a wide array of software and tools essential for his research and professional endeavors, including Ansys Fluent, Ansys CFX, CFD-Post, ICEM CFD, Space Claim, Gambit, STAR-CCM+, AutoCAD, Photoshop, CorelDRAW, SolidWorks, Comsol, openLB, and Python programming.

 

Publications Top Noted:

Paper Title: Water jet angle prediction in supersonic crossflows: Euler–Lagrange and machine learning approaches
  • Authors: S.H. Godasiaei, H. Kamali
  • Journal: European Physical Journal Plus
  • Volume: 139
  • Issue: 3
  • Pages: 251
  • Year: 2024
  • Citations: 3
Paper Title: Exploring novel heat transfer correlations: Machine learning insights for molten salt heat exchangers
  • Authors: S.H. Godasiaei, A.J. Chamkha
  • Journal: Numerical Heat Transfer; Part A: Applications
  • Year: 2024
  • Citations: 2
Paper Title: Ballistic limit evolution of field-aged flexible multi-ply UHMWPE-based composite armour inserts
  • Authors: S.H. Godasiaei
  • Journal: Numerical Heat Transfer; Part A: Applications
  • Year: 2024
Paper Title: Saturated/subcooled flow boiling heat transfer inside micro/mini-channels: A new prediction correlation and experiment evaluation
  • Authors: X. Ma, X. Ji, C. Hu, J. Wei, S.H. Godasiaei
  • Journal: International Journal of Heat and Mass Transfer
  • Volume: 210
  • Pages: 124184
  • Year: 2023
  • Citations: 5
Paper Title: Advancing heat transfer modeling through machine learning: A focus on forced convection with nanoparticles
  • Authors: S.H. Godasiaei, A.J. Chamkha
  • Journal: Numerical Heat Transfer; Part A: Applications
  • Year: 2023