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.

Sophie Sarrassat | Data Science | Best Researcher Award

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Assist. Prof. Dr. Sophie Sarrassat | Data Science | Best Researcher Award

Assist. Prof. Dr. Sophie Sarrassat, London School of Hygiene and Tropical Medicine, United Kingdom

Dr. Sophie Sarrassat is an Assistant Professor in Public Health and Epidemiology at the London School of Hygiene & Tropical Medicine (LSHTM), United Kingdom. With a PhD in Public Health from Pierre & Marie Curie University, she specializes in the evaluation of public health interventions, particularly in maternal, neonatal, and child health across West Africa. Her expertise spans mixed-methods research, randomized controlled trials, and global health. Alongside her academic career, she is a qualified integrative counsellor and psychotherapist (MA, BACP registered), offering mental health support in both English and French. Dr. Sarrassat is actively building bridges between global public health and mental health research.

Profile

Scopus

Summary:

Dr. Sophie Sarrassat is a highly qualified and impactful public health researcher with a strong portfolio of interdisciplinary work in global health and mental health. Her research demonstrates scientific rigor, innovation, and real-world impact. She is well-positioned at an internationally respected institution and maintains a robust publication and teaching profile. Her ability to integrate epidemiology, psychology, and cultural sensitivity makes her research both technically sound and human-centered.

🎓 Education

Sophie Sarrassat holds an impressive array of postgraduate degrees that span both health sciences and psychology. She earned her PhD in Public Health & Epidemiology from Pierre & Marie Curie University in France, along with an MSc in the same field. She also holds a Postgraduate Diploma in Integrative Counselling & Psychotherapy and a Master of Arts in Applied Psychology Research from the University of East London. Additionally, she has undertaken advanced training in Internal Family Systems (IFS) therapy, completing both Level 1 and Level 2 certifications through the IFS Institute. Her foundational studies include a postgraduate diploma in Pharmacy from Rouen University and certificates in counselling skills from LC & CTA in London. Sophie also completed a Kundalini Yoga Level 1 Teacher Training program, highlighting her holistic and integrative approach to health and wellness.

💼Experience

Sophie brings over two decades of combined professional experience in public health research and psychotherapy. Since 2011, she has served as an Assistant Professor in Public Health and Epidemiology at the London School of Hygiene & Tropical Medicine (LSHTM), where she contributes to teaching and supervises MSc students in epidemiology. From 2010 to 2011, she held a research fellow position at Heidelberg University in Germany. Parallel to her academic career, she trained and worked as an Integrative Counsellor and Psychotherapist, beginning as a trainee at The Awareness Centre in London and becoming a registered BACP member in 2021. She currently offers psychotherapy sessions both online and in person, in English and French.

🔬Research Focus

Sophie’s research has primarily focused on the evaluation of public health interventions in maternal, neonatal, and child health across West African countries. Her work includes large-scale, randomized controlled trials and mixed-methods studies funded by leading global health organizations. Key projects include interventions on antenatal corticosteroids, malaria reduction, HIV prevention campaigns, and child survival strategies through mass media and health system strengthening. These studies have informed global health policy and practice, with her findings published in high-impact peer-reviewed journals. More recently, she is expanding her focus into Global Mental Health, combining her dual expertise in epidemiology and psychotherapy.

🛠️Skills

Sophie has developed a diverse skill set in both public health research and psychotherapeutic practice. In research, she is adept in designing mixed-methods surveys, creating quantitative and qualitative data collection tools, training interviewers, and conducting advanced data analysis using STATA. She also has experience with interpretative phenomenological analysis and scientific reporting. In psychotherapy, she applies an integrative, trauma-informed and collaborative approach, blending Internal Family Systems therapy, humanistic modalities, attachment theories, neuroscience-informed methods, and creative techniques such as drawing. Her practice is inclusive, culturally sensitive, and open-ended or time-limited based on client needs.

🏆Awards

Sophie’s work has been supported by esteemed institutions such as the Wellcome Trust, Bill & Melinda Gates Foundation, and UNITAID. While formal individual awards are not listed, her consistent involvement in large-scale, high-impact international research trials and her academic role at LSHTM reflect strong recognition of her contributions to public health and applied psychology.

📚 Publications

Title: The World Health Organization Antenatal CorTicosteroids for Improving Outcomes in preterm Newborns (ACTION-III) Trial
Author(s): WHO ACTION Trials Collaborators
Year: 2024
Journal: Trials

Title: Evaluating the Intensity of Exposure to MTV Shuga, an Edutainment Program for HIV Prevention: Cross-Sectional Study in Eastern Cape, South Africa
Author(s): Babalola, S., Shiferaw, S., Mkhize, N., Sarrassat, S., Farahani, M., Wouters, E.
Year: 2024
Journal: JMIR Formative Research

Conclusion:

Dr. Sarrassat exemplifies the qualities of a top-tier researcher through her evidence-based approach, leadership in global health interventions, and dedication to mentorship and equity. With modest increases in visibility and leadership in mental health research, her profile will only grow stronger. Her interdisciplinary work aligns well with current global health priorities and deserves recognition through this prestigious award.

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.

Profile

Scopus

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.