Jafar Hussain | Decison-Making | Outstanding Scientist Award | 13480

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Prof. Jafar Hussain | Decison-Making | Outstanding Scientist Award 

Prof. Jafar Hussain, Nanchang Institute of Technology, China

Prof. Jafar Hussain, a distinguished academic at the Nanchang Institute of Technology, China, is a globally recognized expert in green technology economics, climate policy modeling, and sustainability analytics. With over 15 years of research and 4 years of teaching experience, he has authored more than 20 SSCI/SCI papers with a total impact factor exceeding 150, primarily in Q1 journals. Prof. Hussain currently serves as Professor and Director at multiple academic institutions, including Xian Innovation College and ORIC Guangdong, while also collaborating on national projects and serving on editorial boards of top-tier journals like Renewable & Sustainable Energy Reviews. His work powerfully integrates data-driven modeling with actionable environmental policy insights.

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🎓 Early Academic Pursuits

Prof. Jafar Hussain began his academic journey in Pakistan with a strong focus on agricultural economics and environmental sustainability. He earned his B.Sc. (Hons) and M.Sc. (Hons) in Environmental and Resource Economics from the University of Agriculture Faisalabad, where his research centered on food security, household socioeconomics, and sustainable resource use. His early theses explored the economic viability of tree plantations and nutritional status among marginalized rural populations, showcasing his early inclination toward socially responsible research.

He later pursued a Ph.D. in Theoretical Economics in China, where he focused on green technology implementation, pricing behaviors, and government emission reduction subsidies—a domain highly relevant to today’s climate and energy transition policies. His Ph.D. laid a strong analytical foundation in applying economics, game theory, and simulation modeling to sustainability challenges.

🏢 Professional Endeavors

Prof. Hussain currently holds multiple prestigious positions. He serves as a Professor at the School of Finance and Economics, Nanchang Institute of Technology, China. He also leads innovation and academic development as Director of Xian Innovation College of Yunan University and Director of ORIC at Guangdong ATV College of Performing Arts. Furthermore, he is a Visiting Researcher at the Harbin Institute of Technology, Shenzhen, reflecting his national and international academic influence.

With more than 15 years of research and 4 years of teaching experience, Prof. Hussain has taught a wide range of economics and statistics courses such as Basic Econometrics and Statistics for Business. His academic responsibilities extend beyond classrooms into Ph.D. and master’s supervision, currently mentoring graduate students at Harbin Institute and undergraduate students at Nanchang Institute.

🧪 Contributions and Research Focus

Prof. Hussain’s research focuses on the intersection of economics, climate policy, and sustainable development. He specializes in:

  • Green technology implementation modeling

  • Carbon neutrality strategies

  • Governmental subsidy optimization

  • Game theory applications in environmental decision-making

  • AI-based simulations in carbon reduction

  • Low-carbon city development and renewable energy awareness

He has authored over 20 SCI/SSCI-indexed articles, with a cumulative impact factor exceeding 150, most in Q1 journals. His work, such as in Renewable and Sustainable Energy Reviews, Technological Forecasting and Social Change, and Environmental Science and Pollution Research, has made critical contributions to modeling optimal environmental regulations, emission-risk minimization, and climate adaptation policies.

Prof. Hussain also co-authored green technology assessments in production systems, showcasing the human dimensions of technology—including employee health, knowledge, and sustainability in industries.

🏅 Accolades and Recognition

Prof. Hussain’s expertise has been acknowledged through multiple academic and research awards, including:

  • Best Researcher of the Year (2022–23)

  • Best Teacher of the Year (2021–22)

  • Shenzhen Government Outstanding Student Scholarship

  • Honorary Rosalind Member, UK Journal Organization

  • Best Reviewer for OMEGA: The International Journal of Management Science

He also serves as Guest Editor for globally ranked journals such as Renewable & Sustainable Energy Reviews and Journal of Environmental Planning and Management. His active editorial roles and reviews for numerous top-tier journals emphasize his authority and thought leadership in sustainability economics.

🌍 Impact and Influence

Prof. Hussain’s work resonates far beyond academia. He has collaborated on significant research grants like:

  • National Natural Science Fund of China (Grant No: 71831005)

  • Shenzhen Key Research Base in Humanities and Social Sciences (P191001)

His tools and models are being referenced for policy development, urban planning, and industrial reform. Notably, his insights on green bonds, carbon subsidies, and renewable energy investment behavior offer pragmatic blueprints for policymakers and green financiers.

He has also been a keynote speaker at over 30 international conferences, including in Spain, UAE, Germany, France, Finland, and Italy, where he delivered insights on sustainability, green manufacturing, AI for carbon neutrality, and clean energy systems.

🔮 Legacy and Future Contributions

Looking ahead, Prof. Jafar Hussain is poised to further bridge the gap between environmental economics and policy-making through robust simulation tools, cross-border collaborations, and capacity-building projects. He is committed to exploring AI-driven models for carbon markets, smart grid optimization, and green supply chain modeling. His mentorship, publications, and collaborative networks ensure that his legacy will influence both academic theory and real-world sustainability transformations.

With his track record, Prof. Hussain represents a model of excellence in applied research, intercontinental collaboration, and sustainable development thought leadership.

✍️ Publication Top Notes

📘Optimal green technology investment and emission reduction in emissions generating companies under the support of green bond and subsidy

Author: J Hussain, CC Lee, Y Chen
Journal: Technological Forecasting and Social Change

Year: 2022

📘A green path towards sustainable development. Optimal Behaviour of duopoly game model with carbon neutrality instruments.

Author: J Hussain, CC Lee
Journal: Sustainable Development
Year: 2022

📘The optimal behavior of renewable energy resources and government’s energy consumption subsidy design from the perspective of green technology implementation

Author: CC Lee, J Hussain, Y Chen
Journal:  Renewable Energy
Journal: 2022

Edmund Agyemang | Applied Statistics | Best Researcher Award | 13385

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Mr. Edmund Agyemang | Applied Statistics | Best Researcher Award 

Mr. Edmund Agyemang, The University of Texas Rio Grande Valley, Ghana

Mr. Edmund Fosu Agyemang is a passionate and award-winning researcher in Applied Statistics and Data Science at The University of Texas Rio Grande Valley, USA. With a strong background in biostatistics, machine learning in health, experimental design, and time series analysis, his work bridges interdisciplinary gaps in health and data science. He holds an MPhil in Statistics from the University of Ghana and has earned multiple honors including UTRGV’s Outstanding Masters Research Performance Award (2024). His commitment to academic excellence and community impact is reflected in his teaching roles across Ghana and the U.S., as well as his editorial contributions to international journals.

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📚 Early Academic Pursuits

Mr. Edmund Fosu Agyemang’s academic journey began with a strong foundation in the sciences at Aggrey Memorial A.M.E. Zion Senior High School in Cape Coast, Ghana, where he earned his WASSCE in General Science. Driven by an innate curiosity for numbers and patterns, he pursued a Bachelor of Science in Statistics at the University of Ghana, graduating in 2018 as the Best BSc. Statistics (Major) Student. His early academic brilliance was evident in his consistent academic record, earning multiple departmental awards for both academic and extracurricular excellence.

Following his undergraduate success, Edmund advanced to earn a Master of Philosophy (MPhil) in Statistics from the same university in 2021. His strong academic performance, coupled with his commitment to service, research, and teaching, laid the groundwork for his acceptance into the M.S. in Applied Statistics and Data Science program at The University of Texas Rio Grande Valley (UTRGV), USA, where he is currently enrolled.

🧑‍🏫 Professional Endeavors

Edmund’s academic progression runs parallel to his teaching and research contributions. His early roles as a Teaching Assistant and later as a Graduate Assistant at the University of Ghana showcased his skill in making complex statistical concepts accessible to students. He supported undergraduate and graduate courses including Regression Analysis, Experimental Designs, and Hypothesis Testing.

He expanded his instructional portfolio as a Lead Tutor for the University of Ghana’s School of Distance Education and later served as an Adjunct Faculty at Ashesi University, teaching courses such as Precalculus, Applied Calculus, and Statistics.

Currently, at UTRGV, he serves as a Graduate Research Assistant, working on interdisciplinary applications of data science and machine learning. His role involves drafting research papers, analyzing data sets, and contributing to ongoing scholarly efforts in the department.

🔬 Contributions and Research Focus

Edmund’s primary research focus is Applied Biostatistics, with wide-ranging interdisciplinary applications. His areas of interest include:

  • Machine learning in health applications 🤖

  • Time series analysis of health and medical data 📈

  • Computational statistics and experimental design 🧪

  • Multivariate analysis and advanced sampling techniques

He is particularly passionate about using statistical tools to address real-world problems, especially in the healthcare and epidemiological domains. His ongoing graduate research at UTRGV integrates machine learning methods into biostatistical analysis, contributing valuable insights to modern data-driven science.

🏆 Accolades and Recognition

Mr. Agyemang’s excellence in academia and research has not gone unnoticed. His awards include:

  • 🥇 Outstanding Masters Research Performance Award, UTRGV (2024)

  • 🎓 Honor Roll for Academic Excellence, UTRGV (Fall 2023)

  • 💰 I Am Buddy Scholarship, UTRGV (2024-2025)

  • 🏅 Presidential Research Fellowship Award, UTRGV (2023)

  • 📘 Best MPhil Statistics Student, University of Ghana (2021)

  • 🏆 Best Graduate Research Assistant, University of Ghana (2021)

  • 🥇 Best Undergraduate Teaching Assistant, University of Ghana (2019)

  • 🏅 Most Influential Student & Sports Personality, UGASS Awards (2018)

These accolades reflect his strong commitment to scholarship, mentorship, and leadership.

🌍 Impact and Influence

Edmund’s impact spans both academic and professional spheres. As a dedicated educator, he has taught and mentored hundreds of undergraduate and graduate students across Ghana and the United States. His experience in curriculum development and personalized instruction makes him a transformative figure in academic spaces.

As a researcher, he contributes to multidisciplinary projects and publications, tackling pressing issues in public health through statistical modeling. His editorial board roles with academic journals like the Journal of HIV/AIDS Research and Journal Multidisciplinar (Montevideo) underscore his influence in shaping global academic discourse.

🌱 Legacy and Future Contributions

Looking ahead, Edmund Fosu Agyemang envisions a career that balances academic instruction, innovative research, and community outreach. His long-term goals include:

  • Establishing a center for applied data science in West Africa to train students and professionals.

  • Expanding his research into predictive modeling for global health challenges, including pandemic forecasting.

  • Mentoring a new generation of statisticians with a focus on ethics, social responsibility, and interdisciplinary impact.

His legacy is already being written in the lives of students he has mentored, the papers he has helped write, and the bridges he has built between data science and healthcare.

📘Publication Top Notes

Women economic empowerment through digitalization: analyzing social networks, risk and time preferences

Contributors: Edmund Fosu Agyemang; Godfred A. Bokpin
Journal: International Journal of Economic Policy Studies
Year: 2025

Anomaly detection using unsupervised machine learning algorithms: A simulation study

Contributors: Edmund Fosu Agyemang
Journal: Scientific African
Year: 2024

The unfolding mystery of the numbers: First and second digits based comparative tests and its application to Ghana’s elections

Contributors: Agyemang, E.F.; Nortey, E.N.N.; Minkah, R.; Asah-Asante, K.
Journal: Model Assisted Statistics and Applications
Year: 2023

Yunxia Chen | Data Science | Best Researcher Award | 13362

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Prof. Yunxia Chen | Data Science | Best Researcher Award 

Prof. Yunxia Chen, School of Reliability and Systems Engineering, Beihang University, China

Prof. Yunxia Chen is a distinguished researcher and professor at the School of Reliability and Systems Engineering, Beihang University, China. Her pioneering work in system reliability has led to significant advancements in failure mechanism modeling, life prediction, and high-reliability design. With over 57 SCI publications, 43 patents, and leadership in multiple national projects, she has shaped both academic and industrial practices. Prof. Chen’s collaborations with top international researchers and her leadership roles in global conferences reflect her influence in the field. Her contributions have earned her two prestigious National Defense Science and Technology Progress Awards.

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🌱 Early Academic Pursuits

Prof. Yunxia Chen’s academic journey began with a deep-rooted interest in systems engineering and mechanical reliability—fields that demand both precision and vision. Her early education laid a strong foundation in engineering principles, which she further solidified through her pursuit of a doctoral degree. Earning her Ph.D. equipped her with advanced knowledge and skills to tackle the complexities of system reliability. These formative years were marked by curiosity, discipline, and a relentless pursuit of knowledge—traits that would define her future contributions to engineering science.

🏛️ Professional Endeavors

Prof. Chen currently serves as a Professor and Research Dean at the School of Reliability and Systems Engineering, Beihang University, one of China’s premier research institutions. Over the years, she has built a robust portfolio of leadership roles in research and academia. Her professional scope extends beyond traditional academic duties to include shaping national and international engineering standards, managing high-impact research projects, mentoring emerging scholars, and fostering interdisciplinary collaborations.

Her commitment to innovation and academic excellence is evidenced by her role in the development of two national industry standards, showcasing her impact on policy as well as practice. Moreover, her ability to balance administrative, teaching, and research responsibilities highlights her dynamic and multifaceted academic persona.

🔬 Contributions and Research Focus

Prof. Chen has made groundbreaking contributions in the domain of complex system reliability, particularly in understanding failure mechanism evolution, failure behavior propagation, and data-physics-driven prognostics. Her research interests span:

  • Reliability modeling and simulation of complex systems

  • High-reliability and long-lifetime design techniques

  • Experimental methodologies for small-sample evaluation

  • Fault-physics based verification systems

  • Advanced prognostics and health management systems (PHM)

Notably, she has authored over 57 SCI-indexed journal papers, published a monograph, and holds 43 authorized invention patents. Her research has had over 1200 citations, including 31 publications in top-tier journals and one highly cited paper, demonstrating her work’s relevance and influence.

Prof. Chen’s research portfolio includes 12 major projects, 35 consultancy assignments, and numerous editorial responsibilities. Her active involvement as an Area Editor, Program Committee Member, and Organizing Chair for prestigious international conferences further underscores her commitment to the global scientific community.

🏆 Accolades and Recognition

Prof. Chen’s scholarly achievements have been recognized with two First Prizes in the National Defense Science and Technology Progress Awards—one of the highest honors in China’s scientific community. These awards celebrate her pioneering work in system reliability research and her impactful role in advancing national defense technologies.

In addition, she holds several editorial and leadership positions in major technical journals and societies, including:

  • Executive Committee Member, Reliability Engineering Branch (CSME)

  • Vice Chairman, Reliability Branch of the China Electronics Society

Her leadership and expertise are widely acknowledged within both academic and industrial circles, further validating her status as a thought leader in her field.

🌍 Impact and Influence

Prof. Chen’s influence extends beyond borders. She has engaged in high-impact collaborations with renowned scholars such as Professor Frank Lam, Professor Terje Haukaas, and Professor Gadala Mohamed S. at the University of British Columbia, Canada. These collaborations explore reliability system modeling based on fault physics, facilitating knowledge exchange and co-development of innovative solutions.

Her work has shaped engineering practices, industry standards, and higher education curricula, setting benchmarks for excellence in system reliability engineering. As a mentor, she has inspired and guided numerous young researchers who are now making their own contributions to the field.

🌟 Legacy and Future Contributions

As she continues to lead cutting-edge research and influence future generations, Prof. Chen’s legacy lies in her integrative approach to engineering challenges—combining theory, practice, data, and innovation. She envisions a future where smart, self-healing systems proactively adapt to environmental and operational stresses, thus minimizing failure and maximizing safety and efficiency.

In the coming years, her focus will include:

  • Enhancing AI-integrated reliability prediction systems

  • Developing intelligent, adaptive maintenance strategies

  • Expanding international research networks for collaborative problem-solving

Publication Top Notes

Causal graph-based spatial–temporal attention network for RUL prediction of complex systems

Author: S., Zheng, Shuwen, J., Liu, Jie, Y., Chen, Yunxia, Y., FAN, Yu, D., Xu, Dan
Journal: Computers and Industrial Engineering, 
Year: 2025

Meta-learning collaborative optimization for lifetime prediction of lithium-ion batteries considering label noise

Author: G., Wang, Guisong, C., Wang, Cong, Y., Chen, Yunxia, J., Liu, Jie

Journal: Energy Storage,

Year: 2025

Unsupervised dynamic prognostics for abnormal degradation of lithium-ion battery

Author: C., Wang, Cong, Y., Chen, Yunxia

Journal: Applied Energy,

Year: 2024