Lyubomur Lyubenov | Data Science and Analytics | Innovative Research Award

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Innovative Research Award

Lyubomur Lyubenov
Researcher Lyubomur Lyubenov
Affiliation University of Ruse “Angel Kanchev”
Country Bulgaria
Google Scholar ID OE5r13gAAAAJ
Documents 182
Citations 175
h-index 7
Subject Area Data Science and Analytics
Event International Soil Scientist Awards
ORCID 0000-0002-5500-0265

Lyubomur Lyubenov
University of Ruse “Angel Kanchev”, Bulgaria

Lyubomur Lyubenov is a researcher affiliated with the University of Ruse “Angel Kanchev”, Bulgaria. His scholarly activities span agricultural economics, agricultural markets, beekeeping economics, rural development, and analytical methods applied to market research. His publications demonstrate a sustained interest in understanding agricultural value chains, market structures, and the economic sustainability of beekeeping and agricultural production systems. His academic record, supported by numerous publications and citations, reflects continued contributions to applied research relevant to agriculture and data-driven decision making.[1]

Abstract

The Innovative Research Award recognizes researchers whose scholarly work demonstrates originality, practical significance, and measurable academic contribution. Lyubomur Lyubenov has developed research focused on agricultural economics, agricultural market organization, beekeeping economics, and market analysis. His studies provide valuable evidence regarding agricultural product commercialization, market development, and economic sustainability. Through publications, conference participation, and analytical investigations, his work contributes to understanding agricultural market dynamics while supporting evidence-based policy and management decisions.[1][3]

Keywords

Agricultural Economics, Agricultural Markets, Data Science and Analytics, Beekeeping Economics, Honey Markets, Market Analysis, SWOT Analysis, Rural Development, Economic Research, Sustainable Agriculture.

Introduction

Academic research in agricultural economics increasingly relies on multidisciplinary analytical approaches that integrate economics, market intelligence, policy analysis, and data interpretation. Lyubenov’s research reflects these characteristics through investigations of agricultural markets and the economic performance of beekeeping sectors. His publications examine both domestic and international market environments, providing practical perspectives relevant to producers, policymakers, researchers, and agricultural stakeholders.[2]

Research Profile

Lyubomur Lyubenov has produced a substantial body of academic work comprising approximately 182 documented scholarly outputs and an h-index of 7. His research interests primarily include agricultural economics, agricultural market structures, commercialization of agricultural products, beekeeping economics, rural economic development, and analytical evaluation of agricultural sectors. His publications have received over 175 citations, indicating continued academic engagement with his research.[1]

Research Contributions

  • Investigated international and domestic markets for bee products, evaluating commercial opportunities and market dynamics.[3]
  • Published research addressing agricultural product marketing and commercialization through comprehensive economic analysis.[4]
  • Conducted SWOT analyses of Bulgarian beekeeping to identify strategic development opportunities.[5]
  • Examined development potential within Bulgarian beekeeping industries and agricultural markets.
  • Studied market diversification opportunities beyond traditional honey production, broadening understanding of value-added bee products.

Publications

  1. International and national markets for bee products. Economic Thought Journal, 102–121 (2019).
  2. Пазари и реализация на земеделски продукти. Monograph. ISBN 978-619-207-039-7 (2016).
  3. SWOT Analysis of the Bulgarian Beekeeping (2018).
  4. Potential of Bulgarian Beekeeping. Round Table Proceedings (2017).
  5. Beekeeping Markets outside the Honey Category. Journal of Mountain Agriculture on the Balkans.

Research Impact

The research portfolio demonstrates continued engagement with economically important issues affecting agriculture and apiculture. By combining market analysis with applied economic investigation, the work contributes to understanding agricultural competitiveness, market diversification, and sustainable commercialization. The documented publication record and citation profile indicate scholarly visibility while supporting future research in agricultural economics and market analytics.[1]

Award Suitability

Lyubomur Lyubenov’s sustained scholarly activity, emphasis on analytical research, publication productivity, and contributions to agricultural market studies demonstrate characteristics aligned with the objectives of the Innovative Research Award. His work illustrates the application of research methodologies to practical agricultural challenges while supporting knowledge development in agricultural economics and related analytical disciplines.[1][4]

Conclusion

The academic record of Lyubomur Lyubenov demonstrates consistent engagement in agricultural economics and market-oriented research. His investigations into beekeeping economics, agricultural product commercialization, and market development contribute to scholarly understanding of agricultural systems. Collectively, these achievements provide a solid academic foundation supporting recognition through the Innovative Research Award.

References

  1. Google Scholar. (n.d.). Lyubomur Lyubenov Scholar Profile.
    https://scholar.google.com/citations?hl=bg&user=OE5r13gAAAAJ
  2. ORCID. (n.d.). ORCID Record: 0000-0002-5500-0265.
    https://orcid.org/0000-0002-5500-0265
  3. Lyubenov, L. (2019). International and National Markets for Bee Products. Economic Thought Journal.
    https://ideas.repec.org/a/bas/econth/y2019i1p102-121.html
  4. SWOT analysis of the Bulgarian beekeeping. ISBN 978-619-207-039-7.
  5. Lyubenov, L. (2018). SWOT Analysis of the Bulgarian Beekeeping.

Yung Lan Yeh | Data Science | Research Excellence Award

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Prof. Dr. Yung Lan Yeh | Data Science | Research Excellence Award

Academy of Circular Economy-Intelligent Technology Program | Taiwan

Prof. Yung-Lan Yeh is an accomplished aerospace engineer and academic leader with extensive expertise spanning aerospace engineering, experimental fluid mechanics, aerodynamics, computational fluid dynamics, smoke-flow visualization, jet flow control, and UAV systems. His professional portfolio integrates advanced UAV design and system integration with industrial and aerodynamic design, civil aviation systems, maintenance practices, and modern manufacturing approaches such as 3D printing. He has led and contributed to high-impact technological projects focused on aerodynamic property verification, bio-inspired wind turbine development, and the investigation and prediction of complex jet flow structures using artificial neural network methods. Beyond research and industry engagement, he has played a sustained role in academic service, including editorial responsibilities in an international aeronautics journal, and has supported education and research through teaching and technical assistance in aerospace and aeronautics departments. His technical competencies further include aircraft maintenance, ultrasonic testing, and carbon fiber composite material repair, reflecting a strong balance between theoretical knowledge and applied engineering practice. His scholarly output comprises 23 published documents, which have collectively received 157 citations across 150 citing documents, resulting in an h-index of 5, demonstrating consistent contributions to aerospace science, fluid mechanics, and applied engineering research.

Citation Metrics (Scopus)

160
120
80
40
0

Citations 157

Documents 23

h-index
5

Citations

Documents

h-index

On the Experimental Study of Active Atmosphere Control of 3D Printing via Nozzle Design

– Journal of Aeronautics, Astronautics and Aviation (Journal Article)

Preliminary Design and Application of Anti-Explosion Technology for UAV Based on 3D Printing

– Journal of Aerospace (Journal Article)

Modular High Lift Device for Fixed-Wing UAV

– Journal of Aeronautics, Astronautics and Aviation

Thermal Analysis of a Radial Heat Sink

– Journal of Aeronautics, Astronautics and Aviation

Performance Analysis of UAV Propellers with Variable Inclined Angles

– Journal of Aeronautics, Astronautics and Aviation (Journal Article)
 

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

Scopus

Orcid

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.

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

Scopus

Google Scholar

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