Makhmud Bobokandov | Mathematics | Young Scientist Award

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Dr. Makhmud Bobokandov | Mathematics | Young Scientist Award

Researcher | National University of Uzbekistan Uzbekistan

Dr. Bobokandov Makhmud is a Senior Lecturer and Researcher in applied mathematics and computational analysis, specializing in mathematical modeling and numerical methods. He holds undergraduate and postgraduate degrees in applied mathematics, information technologies, and mathematical simulations, with doctoral-level specialization in diffusion processes and nonlinear parabolic equations. His professional experience spans academic teaching, research leadership, and participation in nationally funded research projects, including roles as senior and junior researcher on large-scale fundamental grants. His research focuses on nonlinear physical processes, qualitative analysis of differential equations, self-similar solutions, numerical simulations, and data analysis, with published scholarly contributions cited across multiple peer-reviewed works. He has contributed to advancing applied mathematical modeling through interdisciplinary approaches integrating computation and programming. His achievements include competitive national scholarships, government-recognized research funding, and awards for academic excellence. He has further strengthened his expertise through internationally recognized certifications in data analysis, machine learning, scientific computing, and programming, demonstrating sustained commitment to research excellence, academic leadership, and future innovation potential.

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Top 5 Featured Publications

 

Abdulkadir Keskin | Numeric Method | Best Scholar Award

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Dr. Abdulkadir Keskin | Numeric Method | Best Scholar Award

Assoc. Prof. at Istanbul Medeniyet University, Turkey

Assoc. Prof. Dr. Abdulkadir Keskin is an accomplished academic with a strong interdisciplinary background in statistics and economics. He holds a PhD in Applied Statistics and a Master’s degree in Economics, combining theoretical insight with practical research skills. His expertise spans a wide range of areas including machine learning, artificial intelligence, biostatistics, econometrics, and decision support systems. Dr. Keskin has contributed significantly to the academic community through numerous peer-reviewed publications in fields such as energy forecasting, healthcare analytics, corporate social responsibility, and agricultural economics. He demonstrates advanced proficiency in statistical software and programming tools, enabling him to handle complex data analysis across various sectors. Currently serving as a research assistant at Istanbul Medeniyet University, he is actively engaged in both teaching and research. His work consistently bridges academic theory and real-world applications, positioning him as a forward-thinking scholar committed to impactful and innovative research within and beyond his primary disciplines.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Assoc. Prof. Dr. Abdulkadir Keskin has a diverse and comprehensive academic background combining business, economics, and statistics. He earned his PhD in Applied Statistics from Yıldız Technical University, where he developed expertise in quantitative research methodologies and advanced data analysis. Prior to that, he completed a Master’s degree in Economics with a thesis from Yalova University, equipping him with a solid foundation in economic theory and policy analysis. His undergraduate education was in Business Administration (English) at Istanbul University, providing him with broad knowledge in management, finance, and decision-making processes. His educational journey reflects a well-structured integration of analytical, economic, and managerial disciplines, preparing him for interdisciplinary research and teaching. Each academic stage has contributed to his growing interest and capabilities in statistical modeling, economic forecasting, and machine learning, laying the groundwork for his current research activities. His educational path demonstrates a commitment to academic excellence and continuous learning across multiple fields.

Experience

Assoc. Prof. Dr. Abdulkadir Keskin has accumulated valuable academic experience through his roles in teaching and research at Istanbul Medeniyet University. He initially served in the Faculty of Political Sciences, specifically within the Department of Business Administration’s Quantitative Methods division, where he contributed to both undergraduate and graduate-level instruction and supervised research projects. Later, he joined the Faculty of Engineering and Natural Sciences in the Department of Statistics, allowing him to align more closely with his core expertise in applied statistics. His professional background reflects a balance between classroom instruction, curriculum development, and academic research. Dr. Keskin’s work also includes interdisciplinary collaboration across departments and participation in academic initiatives that address real-world problems. His active role in integrating data science tools and modern statistical techniques into academic environments has not only enhanced student learning but also strengthened the university’s research capabilities. His experience portrays him as a versatile academic dedicated to applied and impactful scholarship.

Research Focus

Assoc. Prof. Dr. Abdulkadir Keskin’s research focuses on the intersection of applied statistics, machine learning, and economics, with a particular interest in using data-driven methods to solve complex societal and industrial problems. His academic work spans various domains, including energy forecasting, health service optimization, financial econometrics, and corporate social responsibility. A key feature of his research is the application of advanced methodologies such as deep learning, fuzzy logic, and time series analysis, enabling nuanced insights into dynamic systems. He often explores the use of statistical modeling to enhance policy decisions, improve business operations, and address sustainability challenges. His recent publications reflect this approach, covering topics like renewable energy prediction, patient flow optimization in healthcare, and green business strategies. Dr. Keskin’s work is characterized by its multidisciplinary nature, technical rigor, and relevance to contemporary global issues, positioning him as a researcher committed to producing knowledge that bridges academic theory and real-world application.

Award and Honor

While specific awards and honors are not detailed, Assoc. Prof. Dr. Abdulkadir Keskin’s academic trajectory and publication record suggest recognition within his professional community. His consistent contributions to peer-reviewed journals in diverse fields such as energy economics, healthcare management, and statistical modeling indicate a high level of scholarly engagement. He collaborates with national and international researchers, contributing to projects that are both timely and socially impactful. His role in advancing interdisciplinary research using modern data science tools may also be reflected in institutional recognitions, research funding, and invitations to conferences or collaborative initiatives. His movement across academic departments, from business administration to statistics, points to his growing academic stature and alignment with evolving research priorities. The scope and quality of his work position him well for further academic honors and awards, especially those recognizing innovation, interdisciplinary impact, and academic excellence. He continues to build a profile that aligns with the values typically celebrated in scholarly recognition programs.

Publications Top Notes

  • Title: Türkiye’de Ekonomik Büyüme, İşsizlik ve Enflasyonun Kayıt Dışı İstihdam Üzerindeki Etkisi: ARDL Sınır Testi Yaklaşımı
    Authors: A. Keskin, A. Keskin
    Year: 2021
    Citations: 20

  • Title: Evaluation of Supplier Selection Criteria with Fuzzy DEMATEL Method: An Application on the Pharmacy Industry
    Authors: B. Leblebicioğlu, A. Keskin
    Year: 2021
    Citations: 12

  • Title: The Relationship Between Electricity Generation, Electricity Consumption, and Economic Growth in Turkey 1975–2019
    Authors: A. Keskin, B. Kara
    Year: 2021
    Citations: 7

  • Title: G20 Ülkelerinin CO2 Emisyonları ve Kişi Başına Düşen Milli Gelirin 1960–2012 Dönemi Arasındaki Amprik Analizi
    Authors: A. Keskin
    Year: 2020
    Citations: 7

  • Title: Barriers to Formal Help-Seeking Behavior by Battered Turkish Women According to Sociodemographic Factors
    Authors: A. Keskin, F. Karaman
    Year: 2021
    Citations: 6

  • Title: The Relationship Between Trade Openness, Foreign Trade Tax Revenues and GDP in Turkey: ARDL Bounds Test Approach for 1993–2019 Period
    Authors: A. Keskin, B. Kara
    Year: 2021
    Citations: 6

  • Title: Producer Price Index, Consumer Price Index and Fiscal Policy: 1996–2020 Period and Turkey
    Authors: K. Berat, A. Keskin
    Year: 2021
    Citations: 6

  • Title: Estimation of the Utilization Rates of the Resources of a Dental Clinic by Simulation
    Authors: A. Atalan, A. Keskin
    Year: 2023
    Citations: 5

  • Title: Strategic Forecasting of Renewable Energy Production for Sustainable Electricity Supply
    Authors: A. Keskin, Y.A. Atalan, A. Atalan
    Year: 2024
    Citations: 4

  • Title: Price Estimation of Selected Grains Products Based on Machine Learning for Agricultural Economic Development in Türkiye
    Authors: A. Keskin, İ. Ersin, A. Atalan
    Year: 2024
    Citations: 4

  • Title: Alışveriş Merkezlerinde Müşterilerin Ürün Algısı ile Tüketim Alışkanlıkları Arasındaki İlişkinin Uyum ve Robust Regresyon Analizi ile İncelenmesi
    Authors: A. Keskin, M.Ş. Güneş, D. Yıldız
    Year: 2019
    Citations: 4

  • Title: CO2 Emisyonunu Etkileyen Faktörler: Avrupa Birliği Örneği
    Authors: A. Keskin
    Year: 2019
    Citations: 4

  • Title: The Impact of Green Business Ethics and Green Financing on Sustainable Business Performance of Industries in Türkiye
    Authors: H.K. Alay, A. Keskin, G. Şen, D. Kayalıdereden, Ş. Berber, M.T. Deveciyan
    Year: 2024
    Citations: 3

  • Title: Determining the Criteria Affecting Tax Ethics in Türkiye Using the Fuzzy DEMATEL Method
    Authors: B.K. Yapar, A. Keskin
    Year: 2023
    Citations: 3

  • Title: Türkiye’de Sosyal Harcamalar ve Yoksulluk İlişkisi
    Authors: A. Keskin, A. Keskin
    Year: 2023
    Citations: 3

Conclusion

The scholarly contributions of Assoc. Prof. Dr. Abdulkadir Keskin reflect a strong and sustained research trajectory across diverse yet interrelated domains such as economics, statistics, sustainability, and decision sciences. His publications have garnered notable academic attention, particularly in areas involving econometric analysis, machine learning applications, and social-economic policy evaluation. With works cited across multiple studies, he demonstrates both research relevance and academic influence. His interdisciplinary approach—blending statistical rigor with real-world applicability—adds value not only to academic literature but also to policy development and practical problem-solving. The citation record further confirms that his research is recognized and utilized by fellow scholars, signaling impact and credibility in his field. These achievements position Dr. Keskin as a valuable contributor to the academic community and a strong candidate for advanced recognition such as the Best Scholar Award.

Kennedy Mensah | Mathematics | Best Researcher Award

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Mr. Kennedy Mensah | Mathematics | Best Researcher Award

PhD. Candidate at Kwame Nkrumah University of Science andTechnology, Ghana

Kennedy Mensah is a dedicated and rapidly emerging researcher in applied mathematics, specializing in mathematical biology, tumor-immune modeling, infectious disease dynamics, and computational fluid dynamics. Currently pursuing a PhD at Kwame Nkrumah University of Science and Technology, he serves as an Assistant Lecturer at the University of Energy and Natural Resources. Kennedy has authored and co-authored several peer-reviewed publications in high-impact journals, reflecting his commitment to addressing real-world health and biological challenges through mathematical modeling. His work demonstrates strong interdisciplinary collaboration and practical relevance, with a research portfolio that spans optimal control theory, partial differential equations, and epidemiological modeling. Recognized through prestigious scholarships such as the GNPC Postgraduate and Barclays Tertiary Awards, Kennedy also brings valuable teaching experience and has contributed to national data collection initiatives. His academic achievements, coupled with his research productivity and passion for knowledge dissemination, mark him as a promising candidate for recognition as a Best Researcher.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Kennedy Mensah’s academic journey reflects a strong foundation in mathematical sciences and a continuous pursuit of academic excellence. He is currently a PhD candidate in Applied Mathematics at Kwame Nkrumah University of Science and Technology (KNUST), where he is deepening his expertise in mathematical modeling and computational analysis. He earned his Master of Philosophy (MPhil) in Applied Mathematics from the University of Energy and Natural Resources (UENR) with distinction, graduating with a CGPA of 3.68/4.0. Prior to that, he obtained a Bachelor of Science degree in Mathematics from UENR, finishing with a Second Class Upper Division and a CGPA of 3.58/4.0. His foundational education was at Tamale Senior High School, where he pursued General Arts with a strong emphasis on analytical subjects. This robust academic background has equipped him with critical thinking, analytical reasoning, and advanced problem-solving skills necessary for tackling complex real-world challenges through mathematics.

Professional Experience

Kennedy Mensah has accumulated diverse and impactful professional experience primarily centered around academia, research, and national development initiatives. He currently serves as an Assistant Lecturer at the University of Energy and Natural Resources, where he teaches undergraduate courses in differential equations, statistics, and algebra, among others. His academic career began as a Teaching Assistant and later as a Graduate Assistant, contributing to both instruction and research activities. Additionally, Kennedy has played key roles in national statistical projects, such as the 2023 Integrated Business Establishment Survey and the 2021 Population and Housing Census, where he served as a Field Supervisor and Regional Trainer. These roles highlight his leadership, organizational, and data handling skills. His previous teaching internships and outreach programs at senior high schools further reflect a deep commitment to education and community service. Kennedy’s career trajectory illustrates a balance of research, teaching, and applied service, making him a well-rounded academic professional.

Research Interest

Kennedy Mensah’s research interests lie at the intersection of mathematics and biology, focusing on the use of mathematical models to address critical health and biological phenomena. His primary areas include tumor-immune interaction modeling, continuum modeling of breast cancer, and the mathematical study of breast cancer immunotherapy using spatio-temporal analysis. He also explores optimal control theory and partial differential equations as applied to biological systems, with additional interests in computational biology, infectious disease modeling, and computational fluid dynamics. His work aims to provide quantitative insights into disease progression, treatment strategies, and epidemic control. Kennedy’s multidisciplinary research approach bridges mathematics, health sciences, and computational techniques, enabling him to develop models that are not only theoretically rigorous but also practically applicable. His commitment to mathematical biology and public health demonstrates a passion for using analytical tools to solve real-world problems, with potential impacts in medicine, epidemiology, and environmental health.

Award and Honor

Kennedy Mensah has been recognized for his academic excellence and research potential through several prestigious scholarships and awards. Notably, he received the GNPC Postgraduate Scholarship (2019–2021), awarded to outstanding graduate students in Ghana, which supported his MPhil studies in Applied Mathematics. He also earned the Barclays Tertiary Scholarship (2017–2018), a competitive award for academically strong and financially needy students, and was a recipient of the Mathematics, Science, and Technology Scholarship Scheme (MASTESS) (2016–2017), which supports students excelling in STEM disciplines. These honors reflect not only his strong academic performance but also recognition of his potential to contribute meaningfully to science and society. Kennedy’s ability to secure competitive scholarships from multiple institutions underscores his determination, intellectual merit, and commitment to academic growth. These accolades have played a significant role in supporting his education and research, enabling him to focus on developing high-impact solutions through applied mathematics.

Conclusion

Kennedy Mensah is a driven and innovative researcher with a firm grounding in applied mathematics, a growing record of academic publications, and a deep commitment to using mathematical tools for solving pressing health and societal issues. His journey from undergraduate studies through to a PhD candidacy reflects consistent academic excellence and intellectual growth. With strong experience in teaching, research collaboration, and national survey supervision, Kennedy exemplifies the qualities of a rising academic leader. His interdisciplinary research, especially in mathematical biology and disease modeling, addresses critical areas in public health and biomedical science. Recognized through competitive scholarships and engaged in impactful national initiatives, he has demonstrated both scholarly promise and societal relevance. Kennedy’s blend of technical skill, academic rigor, and community involvement positions him as an outstanding candidate for the Best Researcher Award. His future prospects in academia and research are promising, and he is poised to make lasting contributions in his field.

Publications Top Notes

  • Title: Stability analysis and optimal control strategies of Q fever transmission dynamics in Ghana’s Tropical Grassland
    Authors: Dominic Otoo, Kennedy Mensah, Eugene Adjei, Baaba Abassawah Danquah, Hawa Adusei, Razak Gbemmie Chuaya
    Year: 2025
    Citation: Modeling Earth Systems and Environment, DOI: 10.1007/S40808-025-02341-Y

  • Title: Transmission dynamics of yellow fever with toxic infected population
    Authors: Elvis Kobina Donkoh, Baaba Abassawah Danquah, Francois Mahama, Dauda Musah, Francis Tuffour, Kennedy Mensah, Kwame Kyei Danquah
    Year: 2025
    Citation: Communications in Mathematical Biology and Neuroscience, DOI: 10.28919/cmbn/9036

  • Title: Modeling the spatiotemporal dynamic heterogeneity of pre-synthetic stage breast cancer tumor-immune interactions
    Authors: Kennedy Mensah, Joseph Abeiku Ackora-Prah, Dominic Otoo, Atta Kwame Gyamfi
    Year: 2025
    Citation: Partial Differential Equations in Applied Mathematics, DOI: 10.1016/j.padiff.2025.101200

  • Title: Dynamic Characterization of Parametric Structures and Perturbation Analysis of Blood Flow in the Cranial Arteries
    Authors: Dominic Otoo, Kennedy Mensah, K.A. Adu-Poku, D. Gyamfi, Baaba Abassawah Danquah, Hawa Adusei
    Year: 2024
    Citation: Journal of Fluid Flow, Heat and Mass Transfer, DOI: 10.11159/jffhmt.2024.021

  • Title: Dynamic analysis of Q-fever transmission among cattle in the Tropical Savannah Grassland zone of Ghana (Preprint)
    Authors: Dominic Otoo, Kennedy Mensah, Eugene Adjei, Baaba Abassawah Danquah, Hawa Adusei, Razak G. Chuaya
    Year: 2024
    Citation: bioRxiv Preprint, DOI: 10.1101/2024.11.15.623876

Dennis Peralta | Mathematics | Best Researcher Award

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Prof. Dennis Peralta | Mathematics | Best Researcher Award

Tecnico de Investigación, UNEMI, Ecuador

Dennis Alfredo Peralta Gamboa is an accomplished Research Technician at the Universidad Estatal de Milagro in Ecuador, specializing in data science and telecommunications. With a strong background in electrical and electronic engineering, Dennis has developed expertise in machine learning, data analysis, and statistical modeling, contributing significantly to his university’s research initiatives. 🌐👨‍💼

Publication Profile

ORCID

Strengths for the Award:

  • Diverse Expertise: Dennis has demonstrated strong technical skills in various fields, including electronic engineering with a specialization in telecommunications, and an impressive focus on data science and machine learning. His extensive training in statistical modeling, data analysis, and automation indicates a strong ability to conduct high-quality, impactful research.
  • Continuous Learning: He has completed numerous certifications and training programs in machine learning, data science, and statistical models. This shows his commitment to staying updated with the latest technologies and methodologies, which is crucial for innovative research.
  • Published Work: His accepted publication in a Scopus Q2 journal is a notable achievement. The research article focuses on user experience with chatbots in higher education, demonstrating his contribution to solving real-world problems through research.
  • Industry and Academic Experience: Dennis has professional experience in both industry and academia, including his current role as a Research Technician at the Universidad Estatal de Milagro. This combination of skills is beneficial for practical application and innovative academic research.

Areas for Improvement:

  • Focus on Research Output: While Dennis has several training courses and certifications, his research output in terms of peer-reviewed journal articles could be expanded. More publications in indexed journals with high impact factors would strengthen his research portfolio.
  • Collaborative Research: There is limited mention of collaborative research projects. Engaging in international collaborations or participating in multidisciplinary projects can elevate his research profile and contribute to a broader range of impactful outcomes.
  • Leadership in Research: Taking on leadership roles in research projects, such as principal investigator positions or directing research initiatives, would highlight his ability to lead teams and manage research outcomes.

Education

Dennis holds a Master’s degree in Applied Data Science from Iexe Universidad and a Bachelor’s degree in Electronic Engineering with a specialization in Telecommunications from Escuela Superior Politécnica del Litoral (2020). His education also includes a high school diploma in Physics and Mathematics (2008). 🎓📊

Experience

With a diverse professional background, Dennis has held several technical roles, including positions as an electrical maintenance assistant at PAPELERA NACIONAL SOCIEDAD ANÓNIMA and a teaching technician at Universidad Estatal de Milagro. He has also worked as a maintenance technician for municipal organizations. Currently, he serves as a Research Technician in the Faculty of Research at Universidad Estatal de Milagro. 🛠️💼

Research Focus

Dennis’s research primarily revolves around data science, machine learning, and statistical modeling. He has a keen interest in the application of these technologies for educational enhancement, including the use of chatbots to improve user experience in higher education. 📊🤖

Awards and Honors

Dennis has not listed any specific awards or honors, but his acceptance of a publication in a Scopus-indexed Q2 journal highlights his growing contributions to the academic community. 🏅🎖️

Publications (Top Notes)

“Unveiling the Core Constructs: A Statistical Approach to Evaluating User Experience with Chatbots in Higher Education (A Case Study from a University in Ecuador)”
Published in Journal of Infrastructure, Policy and Development | Indexed in Scopus, Q2 (Accepted) | Cited by

Conclusion:

Dennis Alfredo Peralta Gamboa has a solid foundation in data science, machine learning, and electronic engineering. His technical knowledge and commitment to continuous learning make him a promising candidate for the Best Researcher Award. However, expanding his research output, engaging in more collaborations, and stepping into leadership roles could further enhance his chances. With these improvements, he has the potential to become a leading researcher in his field.