Axelle Hego | Data Science | Best Researcher Award

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Dr. Axelle Hego | Data Science | Best Researcher Award

Dr. Axelle Hego, University of Lorraine, France

Dr. Axelle Hego is a research engineer at the University of Lorraine, France. She specializes in model analysis, sensitivity analysis, and environmental system modeling. Her doctoral research focused on hydric models for green roof structures, exploring the influence of soil and meteorological parameters using advanced control and analysis techniques. With a strong background in Control and Complex Systems Engineering, Dr. Hego has collaborated with institutions like Cerema and contributed to international conferences and journals in the field of environmental modeling and risk assessment.

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Summary:

Dr. Axelle Hego’s research stands at the intersection of control systems and environmental modeling, with significant implications for urban ecological design. Her innovative work on dynamic hydric models for green roofs addresses key questions in soil science, water retention, and climate resilience. Though still early in her career, her technical strengths, research relevance, and international engagement make her a compelling candidate.

🎓 Education

Axelle HEGO holds an engineering degree complemented by a specialized master’s degree in Control and Complex Systems Engineering. Her academic training laid the foundation for her later doctoral research focused on hydric modeling, specifically applied to green roof structures. Her educational journey provided her with a deep understanding of control systems, dynamic models, and analytical methods suited to complex environmental systems.

💼Experience

Currently serving as a Research Engineer at CEA-Liten, Axelle brings both academic and applied research experience to her role. During her PhD, she worked closely with Cerema—a public institution under France’s Ministry for Ecological Transition and Territorial Cohesion—which provided technical expertise and experimental data crucial to her research. She is also affiliated with the CRAN (Research Center on Automatic Control of Nancy), within the department of Control, Identification, and Diagnostic. Her role has encompassed model analysis and sensitivity testing, contributing to advancements in hydric modeling for ecological infrastructure.

🔬Research Focus

Her primary research focus revolves around the analysis of hydric models adapted for green roof systems, particularly in understanding how soil properties and meteorological variables influence model behavior. Her work uniquely adapts sensitivity analysis methodologies to handle dynamic outputs, addressing uncertainties inherent in time-dependent environmental parameters. This research is of high relevance to urban sustainability and ecological engineering.

🛠️Skills

Axelle HEGO possesses specialized skills in model analysis, dynamic system modeling, and sensitivity analysis. She is proficient in adapting analytical methodologies to account for uncertainties in environmental parameters. Her expertise lies in integrating engineering control systems with environmental modeling, focusing on soil and meteorological interactions in urban green infrastructure.

🏆Awards

Axelle HEGO has been actively involved in presenting her research at international conferences. Her PhD work has resulted in two proceedings presented at conferences on Automatic Control and Modeling, as well as a dedicated presentation at a Sensitivity Analysis conference. Additionally, she has published a journal paper in the reputable Stochastic Environmental Research and Risk Assessment. She has applied for the prestigious Best Researcher Award under the International Soil Scientist Awards 2025.

📚 Publications

Title: Sensitivity analysis of a green roof model with uncertain time-varying parameter
Year: 2025
Author: Axelle Hego
Journal: Stochastic Environmental Research and Risk Assessment

Conclusion:

Dr. Axelle Hego is a suitable and promising candidate for the Best Researcher Award in the soil science domain. While her academic portfolio is still growing, her contributions demonstrate innovation, interdisciplinary insight, and a clear commitment to sustainability. With continued support and recognition, she is well-positioned to become a leading researcher in environmentally driven systems modeling.

Fatimah Hameed Naser | Data Science | Best Researcher Award

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Prof. Dr. Fatimah Hameed Naser | Data Science | Best Researcher Award

Prof. Dr. Fatimah Hameed Naser, Al-Qasim Green University, Iraq

Prof. Dr. Fatimah Hameed Naser is a distinguished professor of structural engineering at Al-Qasim Green University, Iraq. With a Ph.D. in Structural Engineering from Babylon University, her research specializes in advanced concrete technologies, fiber-reinforced polymers (FRP), finite element modeling, and sustainable construction materials. She has authored numerous peer-reviewed publications and contributed significantly to civil engineering education and innovation in Iraq.

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Summary:

Prof. Dr. Fatimah Hameed Naser is an accomplished structural engineering academic whose research is both technically rigorous and socially relevant. Her contributions to sustainable concrete materials, structural behavior modeling, and civil engineering education highlight her as a strong candidate for the Research for Best Researcher Award. She combines domain-specific knowledge with a commitment to innovation and education in Iraq’s engineering sector.

🎓 Education

Dr. Fatimah Hameed Naser Al-Mamoori holds a distinguished academic background in civil and structural engineering. She earned her Bachelor of Science in Civil Engineering in 2008 from Babylon University, Iraq. She continued her graduate studies at the same institution, completing a Master of Science in Structural Engineering in 2011. Her academic journey culminated in a Ph.D. in Structural Engineering from Babylon University in 2015, further solidifying her expertise in the field.

💼Experience

Dr. Al-Mamoori has served as a researcher and Assistant Professor in Structural Engineering at the College of Engineering, Al-Qasim Green University, Babylon, Iraq, since October 2015. Over the years, she has contributed significantly to academia through both teaching and research. Her academic role involves mentoring students, supervising research, and advancing structural engineering knowledge with a focus on innovative materials and modeling techniques.

🔬Research Focus

Her research primarily focuses on the structural behavior of concrete systems and the use of advanced materials to enhance performance. Key themes in her work include lightweight concrete reinforced with carbon fiber-reinforced polymer (CFRP) bars, the flexural and shear behavior of concrete elements, the incorporation of local materials in structural concrete, and the application of steel and carbon fibers to improve structural integrity. She also explores innovative solutions to issues like concrete behavior in hot climates, the role of industrial and waste fibers in construction, and finite element modeling for structural optimization.

🛠️Skills

Dr. Al-Mamoori possesses a strong portfolio of technical and analytical skills in structural engineering. Her expertise includes fiber-reinforced polymers (FRP), finite element analysis, structural analysis, construction techniques, and the use of finite element modeling. She is highly skilled in civil engineering materials, concrete technologies, reinforced concrete structures, and the evaluation of flexural and shear strength. Her applied knowledge spans both experimental and analytical research methodologies.

🏆Awards

Dr. Al-Mamoori is recognized for her prolific contributions to structural engineering through numerous research publications in peer-reviewed journals and international platforms. Her work has been indexed in Scopus, Publons, Google Scholar, and ResearchGate, reflecting both impact and global visibility. Although specific awards are not listed, her sustained academic and research excellence positions her as a leading researcher in structural engineering in Iraq.

📚 Publications

Title: Torsional Behavior of Concrete-Filled Steel Tubular Members: State of the Mini Art Review
Authors: Mohammed Jassim Soudi Al-Mangoshi (M.J.S.), Ali Hameed Naser Almamoori (A.H.N.), Fatimah H. Naser (F.H.)

Title: Load Capacity of RC Members Subjected to Marine Environment and Rehabilitated with FRP: State of the Art Review
Authors: Mohammed Karar Hadi (M.K.), Ali Hameed Naser Almamoori (A.H.N.), Fatimah H. Naser (F.H.)

Conclusion:

Prof. Dr. Fatimah Hameed Naser is suitable for the Research for Best Researcher Award. Her blend of academic leadership, applied research excellence, and technical innovation aligns well with the award’s objectives. With strategic enhancements in research impact visibility and international recognition, she can further solidify her standing as one of the leading researchers in her field.

Hongchao Li | Data Science | Best Researcher Award

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Mr. Hongchao Li | Data Science | Best Researcher Award

Mr. Hongchao Li, Kunming University of Science and Technology, China

Mr. Hongchao Li is an Associate Professor at Kunming University of Science and Technology, China. He holds a Ph.D. in Rock Engineering from China University of Mining and Technology (Beijing). His research focuses on rock blasting theory and technology, including the dynamic performance of rocks and concrete, numerical simulation of blasting fragmentation damage, and controlled blasting techniques. With experience in both academia and industry, he has worked as a Project Deputy Manager at Beijing Zhongda Explosion Engineering Co., Ltd. and as an Assistant Lecturer at Kunming Industrial Vocational and Technical College. His expertise includes numerical simulation, rock mechanics, and blasting engineering.

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Summary:

Mr. Hongchao Li is a dedicated researcher with expertise in rock engineering and blasting technology. His ability to combine numerical modeling with experimental research makes him a strong candidate for the Best Researcher Award. His contributions to machine learning applications in engineering also highlight his forward-thinking approach.

🎓 Education

Li Hongchao obtained his Bachelor of Engineering degree in Mining Engineering from Kunming University of Science and Technology in 2008. He then pursued a Master of Engineering in Mining Engineering at the same institution, completing it in 2010. Continuing his academic journey, he earned a Ph.D. in Rock Engineering from China University of Mining and Technology (Beijing) in 2016.

💼Experience

Li Hongchao began his professional career as a Project Deputy Manager at Beijing Zhongda Explosion Engineering Co., Ltd. from 2010 to 2012. He then transitioned into academia, serving as an Assistant Lecturer in Mining Engineering at Kunming Industrial Vocational and Technical College from 2012 to 2013. Since 2016, he has been an Associate Professor at Kunming University of Science and Technology, School of Urban Construction, where he focuses on research and teaching related to rock blasting and engineering.

🔬Research Focus

His research primarily revolves around rock blasting theory and technology, with an emphasis on the dynamic performance and structural relationship of rocks and concrete. His work includes numerical simulation research on rock blasting fragmentation damage models and advancements in controlled blasting theory and technology.

🛠️Skills

Li Hongchao specializes in numerical simulation, rock blasting analysis, structural damage modeling, and controlled blasting techniques. His expertise extends to practical applications in the mining and construction industries, as well as academic research in rock mechanics and engineering.

🏆Awards

Li Hongchao has made significant contributions to the field of rock engineering and blasting, earning recognition for his research and professional achievements. His work has been acknowledged in both academic and industrial settings.

📚 Publications

Title: Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN Models and Predict Bearing Capacity of Circular Foundations
Author: H. Li, S.H. Hosseini, B. Gordan, J. Zhou, S. Ullah
Year: 2025
Journal: Artificial Intelligence Review

Conclusion:

Mr. Hongchao Li is a strong contender for the Best Researcher Award. However, increasing international collaborations and citation impact could further solidify his position as a leading researcher in his field.