Mr Fanyu Meng | Nonlinear Dependence | Best Researcher Award |

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Mr. Fanyu Meng | Nonlinear Dependence | Best Researcher Award

ShanDong University, China.

Mr. Fanyu Meng, born in May 1998 in Jinan, Shandong Province, is a dedicated and emerging scholar in the field of quantitative economics and econometrics. A member of the Chinese Communist Party, he demonstrates a strong foundation in mathematics, statistics, and economic theory, combined with a growing research profile in econometric modeling and data science. He is currently pursuing his Ph.D. at Shandong University and is recognized for his intellectual rigor, methodological expertise, and academic excellence.

Professional Profile

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Education 🎓

Mr. Meng is currently enrolled in a direct-track doctoral program (Ph.D.) in Quantitative Economics at Shandong University (2022.09–2025.06). He previously completed his Master’s degree in Financial Mathematics and Financial Engineering at the same university from 2020 to 2022. His undergraduate studies were undertaken at Ocean University of China, where he earned a Bachelor of Science in Mathematics and Applied Mathematics from 2016 to 2020. This strong academic journey laid a robust foundation for his work in economic modeling and statistical analysis.

Experience đź’Ľ

Mr. Meng has actively participated in several high-level research projects. These include a national-level project on statistical theory and applications in multi-arm robotic game learning (2022–2024), funded by the National Bureau of Statistics. He also contributed to a fintech project on modern agricultural risk management (2020–2022), supported by the Jinan Municipal Science and Technology Bureau. Additionally, he was involved in the “Qingniao Plan” internship program with the Jinan Survey Team of the National Bureau of Statistics in 2020. These experiences have enriched his practical understanding of statistical theory and economic applications.

Research Interests 🔬

Mr. Meng’s research centers on econometric theory and applied econometrics, with a particular interest in time series analysis, panel data models, and structural change detection. He focuses on quantile-based methods, unobserved factor models, semiparametric techniques, and sparse estimation approaches. His work aims to uncover complex, nonlinear relationships within economic systems, contributing to both theoretical advancements and real-world policy modeling.

Awards 🏆

Throughout his academic career, Mr. Meng has received multiple honors. These include a Graduate Second-Class Scholarship and an Excellent Student Source Award during his doctoral studies. As an undergraduate, he was named a Shandong Province Outstanding Graduate, and was awarded several university-level scholarships such as the Shengwu Scholarship, Li Xiaoyong Scholarship, and honors for academic excellence and student leadership. His competitive achievements include prizes in the Shandong Mathematical Modeling Contest and the China Mathematical Modeling Competition.

Top Noted Publications đź“š

Mr. Meng has authored peer-reviewed papers published in respected international journals. His article,

“Uncovering Nonlinear Dependencies in the Treasury-Funds Rate Spread: A Quantile-Based Explanation,”

appeared in Finance Research Letters (SSCI, Q1, 2025). Another co-authored paper on adaptive change point detection is set to be published in Communications in Statistics – Simulation and Computation (SCI, Q3, 2025). He is the corresponding author of a paper currently under external review, which applies Bootstrap entropy-weighted TOPSIS in the assessment of China’s provincial digital economy. He also has several ongoing working papers exploring advanced panel models, binary regression, and break estimation techniques.

Conclusion

Mr. Fanyu Meng represents a new generation of quantitatively skilled economists with a deep understanding of statistical modeling and data-driven economic analysis. His strong academic background, ongoing scholarly contributions, technical skills, and recognized potential make him a highly promising researcher. With continued publication and international collaboration, he is well-positioned to make significant contributions to the field of econometrics and quantitative economics.

Mr Seyed Hossein Hosseini | Engineering Geophysics | Best Researcher Award |

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Mr. Seyed Hossein Hosseini | Engineering Geophysics | Best Researcher Award | 

PhD student, at University of West London ,United Kingdom

Mr. Seyed Hossein Hosseini is a dedicated and innovative geophysicist with a strong research background in magnetic and magnetotelluric (MT) methods for geothermal exploration. With a passion for geophysical data interpretation and modeling, he has consistently contributed to advancing subsurface imaging techniques and sustainable energy research. Known for his analytical mindset, teamwork spirit, and fieldwork enthusiasm, Mr. Hosseini actively bridges theoretical research with real-world applications in geoscience.

Professional Profile

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Education 🎓

Mr. Hosseini earned his Master’s degree (2016–2019) in Geomagnetics from the Institute of Geophysics, University of Tehran. His thesis focused on the estimation of geothermal parameters in Mahallat using magnetic and MT methods, which also led to a peer-reviewed publication. He previously obtained his Bachelor’s degree (2012–2016) in Geo-engineering Sciences with a focus on Mining Engineering from Arak University of Technology. His undergraduate thesis involved exploratory data analysis of lithogeochemical samples from Deh Hossein’s gold, copper, and tin deposits, showcasing early engagement in resource exploration.

Experience 👩‍

With hands-on experience in field surveys and geophysical project evaluations, Mr. Hosseini brings practical knowledge and academic excellence together. He is skilled in using advanced geophysical software such as Geosoft, Mag3D, WingLink, GIS, ModelVision, and MATLAB. His strengths in time management, innovation, and multitasking make him an asset in both individual and team research environments. He also contributes to reviewing geophysical projects and arbitration, indicating trust in his professional judgment and technical expertise.

Research Interests 🔬

Mr. Hosseini’s core research revolves around applied geophysics, particularly the interpretation of magnetic and magnetotelluric datasets to explore geothermal reservoirs and mineral deposits. His expertise includes 2D and 3D inversion modeling, sharp boundary inversion techniques, joint Euler deconvolution, and edge detection methodologies. He is particularly recognized for his contributions to subsurface modeling and the development of dynamic window-based Euler depth estimation algorithms. His work aligns with current global needs for clean energy solutions and sustainable resource exploration.

Awards 🏆

Mr. Hosseini has been consistently recognized for his research contributions through multiple publications in prestigious geophysical journals and participation in respected international conferences such as EMIW2022 and the Annual International Conference on Geoscience and Earth Sciences. While formal awards are not listed, his research impact and academic achievements reflect the potential for future honors in geophysics and clean energy exploration.

Top Noted Publications đź“š

Mr. Hosseini has authored numerous peer-reviewed journal articles from 2020 to 2024. His recent works include:

“Geoelectrical image of the Sabalan geothermal reservoir from magnetotelluric studies” (Journal of Applied Geophysics, 2024)

“2D sharp boundary inversion… Mahallat reservoir” and “Dynamic window-based Euler depth estimation” (Bulletin of Geophysics and Oceanography, 2024)

“Joint Euler deconvolution for depth estimation…” (IJMGE, 2023)

“3D inverse modeling of electrical resistivity…” (IJMGE, 2022)

“Magnetic Interpretational Perspective on Charmaleh Iron Deposit” (Natural Resources Research, 2022)

Conclusion

In summary, Mr. Seyed Hossein Hosseini is a promising and well-rounded researcher in the field of geophysics with a specialized focus on geothermal exploration and advanced subsurface imaging. His academic training, practical field skills, innovative research contributions, and consistent publication record position him as a valuable contributor to both academia and industry. With further growth, particularly at the doctoral level and through international collaborations, he is poised to make lasting impacts in sustainable geoscience research.

Dr Hesham Allam | Social Sciences | Innovative Research Award |

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Dr. Hesham Allam | Social Sciences | Innovative Research Award | 

Ball State University, United States.

Dr. Hesham Allam is an accomplished computer scientist, business analyst, and educator, with extensive experience in technology adoption, enterprise systems, and business intelligence. His expertise spans big data analytics, artificial intelligence, and knowledge management, with a focus on applying innovative technologies to business and education. With a diverse academic and industry background across the United States, Canada, the UAE, and Saudi Arabia, he has successfully integrated research, teaching, and consulting into his career.

Professional Profile

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Education 🎓

Dr. Allam holds a Ph.D. in Computer Science and Business Administration from Dalhousie University, Canada, an MBA in Management Information Systems and Marketing Analytics from California State University, Sacramento, and a B.A. in Education (English & Teaching Methods) from Tanta University, Egypt. He also completed a Special Diploma in Education at Tanta University. His educational journey reflects a strong interdisciplinary foundation, combining technology, business, and education.

Professional Experience đź’Ľ

Dr. Allam has a rich academic and industry career, currently serving as an Assistant Professor at Ball State University, USA. He has previously worked as a Lecturer at Higher Colleges of Technology, Dubai, and Dalhousie University, Canada, where he designed and delivered courses in information systems and business analytics. In the industry, he has held key roles such as Big Data Analytics Consultant at Focus Consulting, Dubai, SAP Program Coordinator for Higher Colleges of Technology, and Data Manager at Focus Research, Halifax, Canada. His expertise in enterprise solutions, business analytics, and IT project management has enabled him to bridge the gap between academic research and industry applications.

Research Interests 🌍

Dr. Allam’s research centers on organizational open innovation, crowdsourcing, enterprise social computing, and technology adoption in organizations. His expertise extends to big data analytics, artificial intelligence, business intelligence, and enterprise resource planning (ERP). Utilizing mixed-method research designs, structural equation modeling, and participatory action research, he explores the intersection of technology, business processes, and user behavior to drive digital transformation and innovation.

Awards & Honors 🏆

Dr. Allam has received multiple recognitions for his excellence in teaching and research. He was commended by the Information Science Department at Dubai Women’s College for achieving outstanding teaching evaluations for five consecutive years (2013–2018). Similarly, he was recognized by the Industrial Management Technology Department, Royal Commission of Yanbu and Jubail, Saudi Arabia, for four consecutive years (2004–2008). He was also awarded a fully funded Fulbright Fellowship to study in the United States in 1996. His other accolades include a Director’s Achievement Award from the Department of Social Services, Sacramento, California (2003) and a Certificate of Appreciation for ASB Accreditation at Yanbu Industrial College (2005).

Top Noted Publications đź“š

The Impact of ChatGPT on Higher Education – J. Dempere, K. Modugu, A. Hesham, L.K. Ramasamy | Citations: 332 | Index: Frontiers in Education | Year: 2023

Applying a Multi-Dimensional Hedonic Concept of Intrinsic Motivation on Social Tagging Tools: A Theoretical Model and Empirical Validation – H. Allam, M. Bliemel, L. Spiteri, J. Blustein, H. Ali-Hassan | Citations: 87 | Index: International Journal of Information Management | Year: 2019

Artificial Intelligence in Education: An Argument of ChatGPT Use in Education – H. Allam, J. Dempere, V. Akre, D. Parakash, N. Mazher, J. Ahamed | Citations: 58 | Index: 9th International Conference on Information Technology Trends (ITT) | Year: 2023

The Impact of Innovation on Economic Growth, Foreign Direct Investment, and Self-Employment: A Global Perspective – J. Dempere, M. Qamar, H. Allam, S. Malik | Citations: 45 | Index: Economies | Year: 2023

Comparing Crowdsourcing Initiatives: Toward a Typology Development – H. Ali-Hassan, H. Allam | Citations: 28 | Index: Canadian Journal of Administrative Sciences | Year: 2016

Conclusion

Dr. Hesham Allam is a strong contender for the Research for Innovative Research Award due to his multidisciplinary expertise, methodological strength, and industry-academic bridge. Strengthening his explicit innovation contributions, research impact metrics, and global influence would further solidify his candidacy.

Ms Kristian Edosomwan | Education | Best Researcher Award |

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Ms. Kristian Edosomwan | Education | Best Researcher Award

Doctoral Candidate, at Texas A&M University, United States.

Kristian O. Edosomwan is an education researcher specializing in educational equity, multicultural education, and STEM access. Currently a Ph.D. candidate in Curriculum & Instruction at Texas A&M University, she focuses on critical quantitative methods (CritQuant) and research, measurement, and statistics (RMS) to examine issues of tracking, ability grouping, and racial disparities in education. With extensive experience as an educator, researcher, and advocate for underrepresented students, she combines academic research with practical classroom insights to drive systemic change in education policies.

Professional Profile

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Education 🎓

Kristian is pursuing a Ph.D. in Curriculum & Instruction (Multicultural Education) at Texas A&M University, expecting to graduate in Summer 2025. She holds a Graduate Certificate in Applied Statistics (2024) and a Master of Education in Curriculum & Instruction (Urban Education, 2021) from Texas A&M. Additionally, she earned a B.A. in Sociology and Asian Studies (magna cum laude) from Rice University (2014) and is a Fulbright Taiwan Grantee (2014-2015).

Professional Experience đź’Ľ

As a Graduate Student Researcher at the Holzman Equity and Access Lab (Texas A&M), Kristian examines systemic inequities in education. She also serves as a Graduate Assistant in the Teaching, Learning, and Culture (TLAC) Department. Her background includes years of experience as a middle school math and science teacher, a grade team lead, and an English Teaching Assistant in Taiwan through the Fulbright Program.

Research Interests 🌍

Kristian’s research explores educational stratification, STEM equity, ability grouping, and culturally responsive teaching. She investigates how tracking and ability grouping affect student outcomes, particularly in advanced mathematics coursework, and how race and class influence educational access. Her methodological expertise in Critical Quantitative Methods (CritQuant) enables her to examine complex structural inequalities in education.

Awards & Honors 🏆

Kristian has received multiple prestigious awards, including the 2024 Lakia M. Scott Emerging Scholar Award from the Texas Chapter of the National Association for Multicultural Education and the 2022 Dean’s Graduate Student of the Year Award from Texas A&M. She is a Gates Millennium Scholar (2010-2024) and has received numerous research and travel grants from AERA and Texas A&M University.

Top Noted Publications đź“š

Is the Employment of School Resource Officers in High Schools Associated with Black Girls’ Discipline Outcomes?

Authors: J.A. Williams III, K. Edosomwan, S. Grice, S.C. Richardson, J. Young

Journal: Race Ethnicity and Education

Volume: 26(3), Pages: 398-418

Citations: 12

Year: 2023

Mathematics Mobility in the Middle Grades: Tracking the Odds of Completing Calculus

Authors: K. Edosomwan, J. Young, J. Young, A. Tholen

Journal: Middle Grades Review

Volume: 8(1), Pages: 1-17

Citations: 4

Year: 2022

Increasing Access to Advanced Mathematics through Self-Selection: A Multinomial Logistic Regression Analysis

Authors: A. Tholen, K. Edosomwan, D. Hong, G.W. Fulmer, J. Young

Journal: The High School Journal

Volume: 105(2), Pages: 145-169

Citations: 3

Year: 2022

Tracking the Effects: Examining the Opportunity Stratification Hypothesis in Action

Authors: K. Edosomwan, J.L. Young, B.R. Butler, J.R. Young, J.A. Williams III

Journal: Journal of Education

Volume: 204(3), Pages: 536-550

Citations: 2

Year: 2023

Double Jeopardy? Examining the Influence of Mathematics Tracking on In-School Suspensions through an Intersectionality Framework

Authors: K. Edosomwan, J. Williams III

Journal: School Science and Mathematics

Citations: 2

Year: 2023

Conclusion

Kristian O. Edosomwan is a strong contender for a Best Researcher Award, particularly in education research, multicultural education, and STEM equity. His scholarly contributions, awards, and leadership roles make him a competitive nominee. Strengthening independent research funding, first-author publications, and broader dissemination efforts would further enhance his candidacy for top-tier research recognitions.