Ahmed Attia | Business, Management and Accounting | Best Researcher Award

Prof. Dr. Ahmed Attia | Business, Management and Accounting | Best Researcher Award

Abu Dhabi University | United Arab Emirates

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Early Academic Pursuits 🎓

Prof. Dr. Ahmed Attia’s academic journey began with a strong foundation in Business Management-Operations Management, earning both his master’s and Ph.D. from Alexandria University, Egypt. His keen interest in supply chain efficiency and operational excellence laid the groundwork for his future contributions in academia and industry.

Professional Endeavors 🏢

With over 20 years of experience across Egypt, Saudi Arabia, and the UAE, Dr. Attia has played a pivotal role in teaching, administration, and research. His expertise spans Operations Management, Supply Chain Management, and Logistics. His tenure at institutions like Effat University, the University of Business and Technology (UBT), and Abu Dhabi University showcases his leadership in both academic and institutional development.

Contributions and Research Focus 🔬

As a researcher, Dr. Attia focuses on solving real-world supply chain and operations challenges. His groundbreaking research on Organizational Learning, Knowledge Management Capability, and Supply Chain Management Practices in the Saudi food industry was published in the prestigious Journal of Knowledge Management (Q1-ranked). He has also explored resource allocation, recycling strategies, and service quality improvements, earning accolades in top-tier conferences.

Accolades and Recognition 🏆

Dr. Attia’s contributions to research have been widely recognized. His papers have won Best Track Paper Awards at the 2018 IEOM Paris Conference and 2019 IEOM Pilsen Conference. His commitment to academic excellence has also been reflected in his leadership roles in quality assurance, accreditation processes, and institutional development.

Impact and Influence 🌍

Beyond research, Dr. Attia has significantly impacted the education sector by introducing case-based learning, project-based learning, and interactive e-learning techniques. His bilingual teaching experience has helped bridge educational gaps and enhance student engagement. As a consultant for Quality and Development Deanships, he has played a key role in accreditation processes and institutional rankings.

Legacy and Future Contributions 🔮

Dr. Attia’s legacy is deeply rooted in his commitment to academic excellence, research innovation, and institutional development. His ongoing work in supply chain optimization, sustainability, and digital transformation in logistics continues to shape the future of the field. With his expertise, he is set to leave an enduring impact on both academia and industry, fostering the next generation of supply chain leaders.

 

Publications


📄  The Effect of Commitment to Sustainable Supply Chain Management and Reverse Logistics on Performance in Context of UAE Food Industry
Author: Attia, A.
Journal: Sustainable Futures
Year: 2025


📄  Effect of Sustainable Supply Chain Management and Customer Relationship Management on Organizational Performance in the Context of the Egyptian Textile Industry
Author: Attia, A.
Journal: Sustainability (Switzerland)
Year: 2023


📄 The Impact of Value-Added Tax on Small and Medium Enterprises
Authors: Hameed, A., Khalaf, H.A., Alzaimoor, H., Hamdan, A., Attia, A.
Journal: Lecture Notes in Networks and Systems
Year: 2023


📄 The Effect of Information System on the Reverse Logistics Performance
Author: Attia, A.
Journal: Academy of Strategic Management Journal
Year: 2021


📄  Testing the Effect of Knowledge Management Capabilities on Service Quality
Authors: Attia, A.M., Zibar, A.M.
Journal: Proceedings of the International Conference on Industrial Engineering and Operations Management
Year: 2019


 

Caiming Zhang | Decision Sciences | Best Researcher Award

Prof. Caiming Zhang | Decision Sciences | Best Researcher Award

China University of Labor Relations | China

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🌱 Early Academic Pursuits

Prof. Caiming Zhang's educational journey showcases his steadfast dedication to Industrial Economics and Management. He began with a Bachelor of Engineering from Nanchang University in 1998, followed by a Master of Management from Beijing University of Technology in 2001. His academic ambition culminated in a Ph.D. in Industrial Economics from Beijing Jiaotong University in 2008. These formative years laid the foundation for his future contributions to academia and industry.

🏛️ Professional Endeavors

Prof. Zhang's career trajectory reflects a seamless integration of academic leadership and industry innovation. As the Dean of the School of Labor Relations and Human Resources at China University of Labor Relations, he continues to guide the next generation of thinkers. His prior roles as Vice Dean and Director within the same institution underscore his impactful leadership. Beyond academia, Prof. Zhang is the Founder and President of Beijing Dimensional Insight Inc., a hub for cutting-edge research in big data and business intelligence, showcasing his entrepreneurial spirit and technical expertise.

🔬 Contributions and Research Focus

Prof. Zhang’s research encompasses pivotal areas such as big data, artificial intelligence, and Industry 4.0. His work has been recognized globally through publications in esteemed journals like Journal of Industrial Information Integration and Information Systems Frontiers. His patents, including innovative methods for big data analysis, highlight his contributions to technological advancement. Furthermore, his hosting of national research projects and development of big data systems for institutions like Beijing Metro Commission and Hebei Hospitals reflect his commitment to practical applications of research.

🏅 Accolades and Recognition

Prof. Zhang’s contributions have earned numerous accolades. Among them are awards for groundbreaking research in artificial intelligence and educational excellence. His paper on AI prospects won the Third Award at the 16th Scientific Research Achievements in China University of Labor Relations. He has also been recognized for innovative curriculum design, securing prestigious teaching awards. As a Senior Member of IEEE and the Chinese Society of Technology Economics, his influence extends across academic and professional spheres.

🌍 Impact and Influence

As a visiting scholar at Old Dominion University and a sought-after speaker at international conferences, Prof. Zhang has brought Chinese academic insights to the global stage. His research on topics like the economic impact of AI and blockchain technology not only advances knowledge but also addresses contemporary industry challenges. Through his mentorship of graduate students and leadership in research, he has shaped the academic and professional paths of countless individuals.

🌟 Legacy and Future Contributions

Prof. Zhang's enduring legacy lies in his ability to bridge the gap between theory and practice. His work in advancing big data applications, combined with his passion for education and innovation, promises a future where technology continues to drive societal progress. As he leads projects on intelligent education and big data decision-making, Prof. Zhang remains a beacon of inspiration, paving the way for breakthroughs in both academia and industry.

 

Publications


📝 The Impact of Generative AI on Management Innovation

  • Author: Zhang, C., Zhang, H.
  • Journal: Journal of Industrial Information Integration
  • Year: 2025

📝 A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction

  • Author: Zhang, Q., Zhang, Y., Yao, X., Zhang, C., Liu, P.
  • Journal: ACM Transactions on Knowledge Discovery from Data
  • Year: 2023

📝 Acquisition and Cognition Information of Human Body Swing

  • Author: Fan, J.-F., Sigov, A., Ratkin, L., Chen, S.-W., Zhang, C.-M.
  • Journal: Journal of Industrial Information Integration
  • Year: 2022

📝 A Literature Review of Social Commerce Research from a Systems Thinking Perspective

  • Author: Wang, X., Wang, H., Zhang, C.
  • Journal: Systems
  • Year: 2022

📝 Study on the Interaction Between Big Data and Artificial Intelligence

  • Author: Li, J., Ye, Z., Zhang, C.
  • Journal: Systems Research and Behavioral Science
  • Year: 2022

 

Okechukwu Obulezi | Mathematics | Editorial Board Member

Dr. Okechukwu Obulezi | Mathematics | Editorial Board Member

Nnamdi Azikiwe University | Nigeria

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🎓 Early Academic Pursuits

Dr. Okechukwu Obulezi began his academic journey with a focus on statistical sciences, obtaining an ND in Statistics from Abia State Polytechnic in 2006. Driven by his passion, he continued with an HND in Statistics from the same institution, culminating in a strong foundation in quantitative analysis and data interpretation. Pursuing higher learning, he completed a PGD in Statistics at Nnamdi Azikiwe University in 2012, with a thesis on the "Discriminant Analysis of the Nigerian Fixed Assets." His master's thesis focused on "BIC-Based Relative Influence Measure for Outlier Detection and Variable Selection in Regression Analysis," setting the stage for his current Ph.D. in Statistics, where he explores complex statistical methods for predictive and analytical modeling.

💼 Professional Endeavors

Dr. Obulezi’s professional career spans several academic roles, starting as an Instructor at Abia State Polytechnic in 2011, where he advanced to Senior Instructor by 2015. In 2019, he joined Nnamdi Azikiwe University as an Assistant Lecturer in the Statistics Department, quickly progressing to Lecturer II and then Lecturer I by 2023. His responsibilities include teaching specialized courses such as Biostatistics, Statistical Methods, Probability Theory, and Matrix Algebra, where he imparts knowledge to the next generation of statisticians. Beyond teaching, he plays critical roles in advising undergraduates, coordinating seminars and projects, and contributing to departmental committees, such as the Faculty ICT Committee and Faculty Repair and Maintenance Committee.

🔬 Contributions and Research Focus

Dr. Obulezi’s research interests lie at the intersection of probability distributions, machine learning, and statistical modeling, with applications in survival analysis, acceptance sampling, and censored data analysis. His contributions to these fields include publications in high-impact journals, focusing on new statistical models for various real-world applications. Some of his significant research includes new distribution models for engineering, biomedical, and environmental data, optimization of GARCH models for financial volatility, and innovative sampling plans for reliability testing. His publications reflect his commitment to advancing the fields of statistics and machine learning by creating robust, practical solutions for complex data challenges.

🏆 Accolades and Recognition

Dr. Obulezi has earned recognition for his academic and research excellence, serving as a reviewer for several prestigious journals, such as Cogent Engineering, Scientific African, and Alexandria Engineering Journal. His expertise has also led him to contribute as a reviewer for academic book chapters, particularly in mathematical and computer science research. This engagement underscores his prominence as a thought leader in the statistical community and highlights the respect he commands among peers for his critical insights and expertise.

🌍 Impact and Influence

Dr. Obulezi's work in developing statistical models and distributions has had a significant impact, particularly in the areas of biomedicine, engineering, and environmental science. His innovative methodologies have helped refine statistical tools for better data analysis, contributing to improved outcomes in public health research, environmental risk assessment, and financial risk management. His influence also extends to mentoring students and collaborating with other academics, which enriches the statistical field and inspires the next generation of statisticians.

🔮 Legacy and Future Contributions

Looking forward, Dr. Obulezi aims to further his research in advanced statistical modeling, focusing on machine learning applications and data-driven decision-making in complex fields. His commitment to exploring new statistical approaches for big data and predictive analysis places him at the forefront of his field, positioning him to make enduring contributions that will drive innovation in statistical methodologies and applications for years to come.

 

Publications


  • 📄 Parameter estimation for reduced Type-I Heavy-Tailed Weibull distribution under progressive Type-II censoring scheme
  • Authors: Prakash, A., Maurya, R.K., Alsadat, N., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024

  • 📄 Sine generalized family of distributions: Properties, estimation, simulations and applications
  • Authors: Oramulu, D.O., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024

  • 📄 A more flexible Lomax distribution: Characterization, estimation, group acceptance sampling plan and applications
  • Authors: Ekemezie, D.-F.N., Alghamdi, F.M., Aljohani, H.M., El-Raouf, M.M.A., Obulezi, O.J.
  • Journal: Alexandria Engineering Journal
  • Year: 2024

  • 📄 A new extension of Burr-Hatke exponential distribution with engineering and biomedical applications
  • Authors: Anyiam, K.E., Alghamdi, F.M., Nwaigwe, C.C., Aljohani, H.M., Obulezi, O.J.
  • Journal: Heliyon
  • Year: 2024

  • 📄 Group acceptance sampling plan based on truncated life tests for Type-I heavy-tailed Rayleigh distribution
  • Authors: Nwankwo, M.P., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
  • Journal: Heliyon
  • Year: 2024

 

Pankaj Kumar | Mathematics | Best Researcher Award

Assist Prof Dr. Pankaj Kumar | Mathematics | Best Researcher Award

National Institute Technology Hamirpur | India

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Early Academic Pursuits

Dr. Pankaj Kumar's academic journey began with a Bachelor of Science in Mathematics Honours from Ranchi University, followed by a M.Tech., in Operations Research from the National Institute of Technology, Durgapur. He pursued his Ph.D. in Optimization Methods in Finance at the prestigious Indian Institute of Technology Kharagpur, specializing in interval optimization methods for portfolio selection problems.

Professional Endeavors

Dr. Kumar has held various research and teaching positions, including Research Assistant Professor at the Department of Mathematics, SRM Institute of Science and Technology, and Visiting Faculty at the Institute of Financial Management and Research. He has also served as a Visiting Research Scholar and held Senior and Junior Research Fellowships at the Indian Institute of Technology Kharagpur.

Contributions and Research Focus

His research interests lie in operations research, optimization methods in finance, interval optimization, machine learning, and crop area planning. Dr. Kumar has contributed significantly to the field through his publications in esteemed journals and conferences, focusing on topics such as multi-objective portfolio selection, mean-value-at-risk portfolio optimization, and stochastic programming techniques.

Accolades and Recognition

Dr. Kumar has received several honors and awards, including travel grants from the Department of Science and Technology (DST) and recognition for his paper presentations. He has been awarded prestigious fellowships for his research work, including visiting, senior, and junior research fellowships at Indian universities.

Impact and Influence

His research has made a notable impact on the field of optimization and finance, providing valuable insights into portfolio selection, risk management, and decision-making processes. Dr. Kumar's work has been recognized through his appointment as an Editorial Board Member of Applied and Computational Mathematics (ACM) and teaching awards for his contributions to mathematics education.

Legacy and Future Contributions

Dr. Kumar's legacy lies in his dedication to advancing knowledge in operations research and finance through rigorous academic inquiry and innovative problem-solving approaches. His future contributions are poised to further enrich the field, addressing emerging challenges and pushing the boundaries of optimization theory and applications.

Notable Publications

Efficient solutions for vector optimization problem on an extended interval vector space and its application to portfolio optimization 2024

Parametric approach for multi-objective enhanced interval linear fractional programming problem 2023

Prediction based mean-value-at-risk portfolio optimization using machine learning regression algorithms for multi-national stock markets 2023 (20)

Solving mean-VaR portfolio selection model with interval-typed random parameter using interval analysis 2021 (3)

Multi-objective enhanced interval optimization problem 2020 (7)