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.

Profile

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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

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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.

Habte Tadesse LIKASSA | Data Science | Best Academic Researcher Award

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Dr. Habte Tadesse LIKASSA | Data Science | Best Academic Researcher Award

Dr. Habte Tadesse Likassa, Arizona State University, United States

Dr. Habte Tadesse Likassa is a versatile and accomplished academic researcher whose work bridges critical areas of biostatistics, medical imaging, and econometrics. He has made notable contributions to methodological innovation and has demonstrated leadership in education and research policy. His career is marked by a commitment to excellence, interdisciplinary collaboration, and applied impact.

Profile

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Summary:

Dr. Habte Tadesse Likassa is an accomplished statistician and researcher with strong credentials in applied and theoretical domains. His work is interdisciplinary, spanning healthcare, economics, and statistical methodologies, and is marked by real-world relevance and academic rigor. His leadership roles, technical skills, and international collaborations reinforce his profile as a high-potential researcher. However, strategic focus on publishing in higher-impact journals and increasing citation metrics would strengthen his global scholarly presence.

🎓 Education

Habte T. Likassa holds a PhD in Statistics from the National Taiwan University of Science and Technology, Taiwan, awarded in July 2019. His doctoral research focused on developing new robust methods for outlier and heavy sparse noise detection in high-dimensional images, earning him an A+ grade. He also holds an MSc in Statistics from Addis Ababa University, Ethiopia, where his thesis involved spatial and count regression models for analyzing tuberculosis incidence in North Shoa Zone. He earned his BSc in Statistics from the University of Gondar, Ethiopia, with a research focus on time series modeling for traffic data forecasting. Additionally, he obtained a Higher Diploma in Teaching at Higher Education from Debre Birhan University in 2013.

💼Experience

Dr. Likassa is currently serving as a Postdoctoral Research Scholar at the Department of Biostatistics, College of Health Solutions, Arizona State University, USA, since 2024. His work involves both methodological advancements in biostatistics and applied analysis using high-dimensional datasets. Previously, he held academic appointments across several Ethiopian universities including Addis Ababa University, Ambo University, and Debre Birhan University, serving in various capacities such as Assistant Professor, Lecturer, and Graduate Assistant between 2008 and 2023.

🔬Research Focus

Dr. Likassa’s research interests are diverse and interdisciplinary. His work primarily focuses on the development of robust statistical methods for medical imaging and anomaly detection in high-dimensional data. He is also engaged in survival analysis for heart failure, COVID-19, and cancer patients, as well as econometric modeling of inflation volatility using multivariate GARCH techniques. His research interests include machine learning, deep robust methods, low-rank sparse decomposition such as RPCA and Tensor RPCA, optimization techniques, artificial intelligence, and applied statistical modeling including logistic regression, multivariate analysis, spatial analysis, medical image analysis, and time series forecasting.

🛠️Skills

Dr. Likassa has extensive expertise in data management and advanced statistical modeling. His skills span big data analytics, management of economic and survey claim data, spatial exploratory data analysis, and high-dimensional health and image data analysis. He is proficient in various statistical software including LaTeX, SPSS, SAS, Stata, R, GIS, MATLAB, and Python. He has also delivered numerous training sessions to researchers, postgraduate students, and government professionals on research ethics, statistical methods, and data analysis techniques.

🏆Awards

Dr. Likassa has received several awards for his contributions to research and presentations. In 2024, he delivered a talk at the Arizona Alzheimer’s Consortium. He has received multiple Best Presenter Certificates at international conferences, including a Best Presenter Award in Taiwan, Republic of China.

📚 Publications

  • Title: A Multivariate GARCH Model with Time-Varying Correlations: What Do Inflation Data Show in Ethiopia
    Authors: Likassa, Habte Tadesse; Chen, Dinggeng; Nadarajah, Saralees; Temesgen, Shibru; Gotu, Butte
    Year: 2025
    Journal: Computational Economics

  • Title: Building a Sustainable Future: Investigating the Role and Contributions of Higher Education Institutions Instructors in Promoting Social Sustainability—Empirical Evidence from Ethiopia
    Authors: Tafese, Mestawot Beyene; Kopp, Erika; Likassa, Habte Tadesse
    Year: 2024
    Journal: Education Sciences

Conclusion:

Dr. Likassa is highly suitable for the Best Academic Researcher Award. His breadth of expertise, research innovation, and dedication to academic service make him a commendable choice. Addressing the noted areas for improvement could further enhance his candidacy, but his current achievements already position him as an impactful and deserving researcher on an international scale

Zhiyong Zhang | Data Science | Best Researcher Award

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Dr. Zhiyong Zhang | Data Science | Best Researcher Award

Dr. Zhiyong Zhang, Tianjin university of traditional Chinese medicine, China

Dr. Zhiyong Zhang is a Ph.D. candidate at Tianjin University of Traditional Chinese Medicine, China. His research focuses on the integration of modern analytical techniques and artificial intelligence to enhance quality evaluation and control in Traditional Chinese Medicine (TCM). With expertise in LC/GC-MS, ICP-MS, NIR, and LIBS, he has contributed to over 20 peer-reviewed publications, including 12 SCI-indexed papers as first or co-first author. His work advances real-time, data-driven approaches for TCM manufacturing and herbal product authentication.

Profile

Scopus

Summary:

Dr. Zhiyong Zhang is a rising star in the field of Traditional Chinese Medicine research, demonstrating excellence in combining classical medical knowledge with state-of-the-art analytical and computational techniques. His research is not only scientifically rigorous but also highly relevant to real-world applications in medicine production, safety, and quality assurance. With a growing list of impactful publications and innovative methodologies, he exemplifies the type of interdisciplinary thinker the Research for Best Researcher Award aims to recognize.

🎓 Education

Zhiyong Zhang, born in September 1997 in Huaibei, Anhui, China, is currently a Ph.D. candidate in Traditional Chinese Medicine at the Tianjin University of Traditional Chinese Medicine, under the supervision of Researcher Wenlong Li. He began his doctoral studies in September 2022. Prior to this, he participated in a joint master’s training program at the First Institute of Oceanography, Ministry of Natural Resources, from September 2021 to June 2022, where he worked with Researcher Junhui Chen. Zhang completed his Master of Science in Traditional Chinese Medicine at the Tianjin University of Traditional Chinese Medicine from September 2020 to June 2021. His academic journey began with a Bachelor of Science in Traditional Chinese Medicine Pharmaceutical at the same university, completed between 2015 and 2019.

💼Experience

Dr. Zhiyong Zhang has extensive academic and research experience in the field of Traditional Chinese Medicine (TCM). He is currently pursuing his Ph.D. at Tianjin University of Traditional Chinese Medicine, where he focuses on quality assessment and control of TCM using advanced analytical technologies and artificial intelligence. He previously participated in a joint master’s training program at the First Institute of Oceanography, Ministry of Natural Resources, where he gained interdisciplinary experience in TCM analysis and data integration. He also completed both his Master’s and Bachelor’s degrees in Traditional Chinese Medicine and Pharmaceutical Sciences at Tianjin University of Traditional Chinese Medicine. Over the years, Dr. Zhang has developed strong expertise in applying chemometrics, metabolomics, and spectroscopy-based techniques to improve the reliability and efficiency of TCM research and manufacturing.

🔬Research Focus

Zhiyong Zhang’s research centers on advancing the quality evaluation and control of Traditional Chinese Medicine (TCM) through modern analytical and computational techniques. His interests include machine learning-based quality analysis of TCM using multimodal data, rapid on-site quality control of Chinese herbal materials and processed products, and the development of multidimensional quality evaluation systems integrating metabolomics, elementalomics, and chemometrics. He also focuses on the application of Process Analytical Technology (PAT) for real-time monitoring of critical quality attributes in TCM manufacturing.

🛠️Skills

He is proficient in a wide range of analytical techniques, including Liquid/Gas Chromatography-Mass Spectrometry (LC/GC-MS), Inductively Coupled Plasma Mass Spectrometry (ICP-MS), Near-Infrared Spectroscopy (NIR), and Laser-Induced Breakdown Spectroscopy (LIBS). His expertise spans both laboratory-based and field-deployable technologies, enabling high-throughput and real-time analysis of complex herbal matrices.

🏆Awards

Zhiyong Zhang has made significant contributions to the field with over 20 peer-reviewed publications, including 12 SCI-indexed papers where he served as the first author or co-first author. He has also filed three patent applications related to his research innovations in TCM quality control and evaluation technologies.

📚 Publications

1. Journal of Food Composition and Analysis (2025)

Title: Investigating the impact of geographical origin and harvesting season on the quality of Hypericum perforatum L. using LC-MS, GC-MS, and ICP-MS technologies in conjunction with random forest model
Authors: Zhang Zhiyong, Qian Jiahe, Fang Guangpu, Chen Jingchao, Li Wenlong

2. Phytochemical Analysis (2025)

Title: A Machine Learning-Based Approach for the Prediction of Anticoagulant Activity of Hypericum perforatum L. and Evaluation of Compound Activity
Authors: Zhang Zhiyong, Nie Wennan, Zhang Yijing, Zhang Shule, Li Wenlong

Conclusion:

Dr. Zhiyong Zhang is highly suitable for the Research for Best Researcher Award. His achievements to date already place him among the most promising young researchers in the field of TCM. With continued support and opportunities to expand his global and practical influence, he is poised to make even greater contributions to science and society.

Diana Feliciano | Science Integration | Best Scholar Award

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Prof. Dr. Diana Feliciano | Science Integration | Best Scholar Award

Prof. Dr. Diana Feliciano, Teesside University, United Kingdom

Prof. Dr. Diana Feliciano is a Professor of Climate Change and Sustainable Economic Development at Teesside University, United Kingdom. She holds a PhD in Geography from the University of Aberdeen, an MSc in Economics from the Portuguese Catholic University, and a BEng Hons in Engineering from the University of Lisbon. Her research focuses on climate change mitigation, sustainable land use, carbon sequestration, and agricultural policy. With extensive experience in academia and policy advisory roles, she has worked with institutions like the Committee on Climate Change, UNESCO, and the University of Aberdeen. She has secured prestigious research grants from UKRI, EU Horizon Europe, and the Wellcome Trust, leading projects on greenhouse gas emissions, sustainable food systems, and environmental policy integration.

Profile

Scopus

Summary:

Prof. Dr. Diana Feliciano is a highly accomplished researcher in climate change and sustainability, with extensive contributions to academia, policy, and global environmental initiatives. Her ability to secure competitive funding, collaborate internationally, and influence policy decisions makes her a strong candidate for the Research for Best Scholar Award.

 

🎓 Education

Professor Diana Feliciano holds a PhD in Geography from the University of Aberdeen, Scotland, where she researched the contribution of rural land uses to greenhouse gas-neutral regions. She earned an MSc in Economics from the Portuguese Catholic University, focusing on the effectiveness of forest owners’ associations in Portugal. She also holds a BEng Hons in Engineering, specializing in forestry and natural resource management, from the University of Lisbon.

💼Experience

Professor Feliciano is currently a Professor of Climate Change and Sustainable Economic Development at Teesside University International Business School. She is also a Defra R&D Fellow working on embedding evidence in the Environmental Improvement Plan. Previously, she was a transdisciplinary scientist at the University of Aberdeen, a senior analyst for the Committee on Climate Change in London, and a researcher at UNESCO’s International Social Science Council in Paris. She has also worked as a research assistant and teaching assistant in Portugal and Scotland.

🔬Research Focus

Her research spans climate change mitigation, sustainable land use, and socio-economic aspects of environmental policy. She has extensively studied carbon sequestration, greenhouse gas emissions, and sustainable agricultural practices. Her work integrates economic and environmental sciences to develop policies supporting climate resilience, sustainable food systems, and land-use management.

Awards

She has secured numerous prestigious grants, including funding from UKRI, EU Horizon Europe, Wellcome Trust, and the World Bank. She has led and participated in projects on carbon capture, sustainable food systems, and agricultural policy. She has also held leadership roles in international research collaborations, including COST Action FP1201 and NERC-funded projects.

Publications

Environmental, Social and Economic Perceptions of Local Food Production: A Case Study of Aberdeenshire Farmers’ Markets

Authors: Wardle, J.M., Sorathia, A., Smith, P., & Feliciano, D.M.S.
Year: 2024
Citations: 1
Journal: Scottish Geographical Journal

Assessing the Area of Suitable Land for Climate Change Mitigation with Sitka Spruce (Picea sitchensis) in Scotland

Authors: Abimbola, I., & Feliciano, D.M.S.
Year: 2022
Citations: 1
Journal: Land

Stakeholders’ Perceptions of Factors Influencing Climate Change Risk in a Central America Hotspot

Authors: Feliciano, D.M.S., & Sobenes, A.
Year: 2022
Citations: 6
Journal: Regional Environmental Change

 

Conclusion:

Prof. Dr. Diana Feliciano is highly suitable for the Research for Best Scholar Award, given her exceptional academic achievements, research impact, and policy contributions. While she could further enhance her influence through increased citations, high-impact publications, and expanded public engagement, her current standing in the scientific community makes her a strong contender for this prestigious recognition.