Shafeeq Ur Rahaman | Data Analytics | Best Researcher Award

Published on by World Top Scientists

Mr. Shafeeq Ur Rahaman | Data Analytics | Best Researcher Award

Associate Director Analytics at Monks San Francisco, United States

Mr. Shafeeq Ur Rahaman is an accomplished researcher and analytics leader with extensive expertise in data analytics, cloud solutions, and digital transformation. He has a strong record of publishing research in high-impact journals and has ongoing work in areas such as predictive modeling, financial market forecasting, and sustainable supply chain management. His innovative contributions include patents and advanced frameworks that improve operational efficiency and decision-making. Beyond technical expertise, he has demonstrated thought leadership as a keynote speaker and conference presenter, mentoring teams and fostering cross-functional collaboration. Mr. Rahaman has received multiple prestigious awards for innovation and performance, reflecting his commitment to excellence. With a combination of scholarly rigor, practical impact, and leadership in both research and industry, he consistently advances the frontiers of analytics, creating meaningful contributions that influence both academic and professional communities.

Professional Profile 

Scopus Profile | ORCID Profile 

Education

Mr. Shafeeq Ur Rahaman holds a Master of Science in Management Information Systems, building a strong foundation in both technology and business intelligence. His academic journey began with a Bachelor of Engineering in Electrical and Electronics Engineering, which provided him with rigorous analytical and problem-solving skills. Throughout his education, he complemented his degrees with specialized graduate certificates in Business Intelligence, Business Process Management, and Project Management, demonstrating a commitment to continuous learning and practical application of knowledge. His scholastic achievements were recognized through honors such as Beta Gamma Sigma, highlighting academic excellence. This educational background equips him with a unique blend of technical expertise, strategic insight, and research acumen, enabling him to navigate complex data-driven challenges and drive innovation across multiple domains, including analytics, finance, and supply chain management.

Experience

With over a decade of professional experience, Mr. Rahaman has led analytics and digital transformation initiatives for global enterprises. As an Associate Director in Analytics, he has driven scalable solutions in cloud computing, automation, and advanced data modeling, delivering measurable business impact. His experience spans managing high-budget campaigns, optimizing workflows, and implementing capacity models that enhance team productivity and strategic outcomes. Mr. Rahaman has collaborated with cross-functional teams across finance, marketing, and operations, aligning data strategies with organizational objectives. Beyond industry application, he has demonstrated leadership in mentoring teams, redefining analytics frameworks, and fostering innovation. His professional journey reflects a balance of technical expertise, strategic vision, and leadership, positioning him as an influential figure capable of bridging research insights with real-world business solutions.

Research Focus

Mr. Rahaman’s research focuses on advanced analytics, predictive modeling, econometrics, and machine learning applications in finance, supply chain, and sustainability. His work encompasses forecasting financial market volatility, quantifying uncertainty in economic policies, and applying IoT for sustainable energy management. He explores novel approaches such as CNN-LSTM networks, dynamic neuroplastic models, and non-linear econometric frameworks to address complex decision-making challenges. By integrating data-driven methods with practical applications, his research delivers actionable insights that enhance operational efficiency and strategic planning. He has published numerous research papers in high-impact journals and continues to contribute cutting-edge studies under peer review. His focus on both theoretical rigor and practical relevance positions him as a thought leader capable of advancing knowledge while creating measurable real-world impact.

Award and Honor

Mr. Rahaman has received multiple prestigious awards recognizing his innovation, leadership, and research excellence. His accolades include Gold, Silver, and Platinum awards from global digital and innovation competitions, reflecting outstanding performance in analytics and technological advancement. He has also earned the “On Fire” award twice, highlighting exceptional contribution to team success. Beyond accolades, he holds fellowships and senior memberships in esteemed professional societies such as IEEE, RSA, INNS, and Sigma Xi, affirming his recognition within the global research and engineering community. His patents in AI, machine learning, and business analytics further underscore his originality and impact. Collectively, these honors demonstrate both his academic distinction and industry influence, positioning him as a highly respected figure in the domains of analytics, research, and innovation.

Publication Top Notes

Title: Dynamic Neuroplastic Networks for Financial Decision Making: A Self-Adaptive Approach for Mitigating Catastrophic Forgetting in Continual Learning
Authors: Shafeeq Ur Rahaman
Year: 2025

Title: Quantifying Uncertainty in Economic Policy Predictions: A Bayesian & Monte Carlo Based Data-Driven Approach
Authors: Shafeeq Ur Rahaman, Mahe Jabeen Abdul
Year: 2025

Title: Forecasting Cryptocurrency Markets: Predictive Modelling Using Statistical and Machine Learning Approaches
Authors: Shafeeq Ur Rahaman, Patchipulusu Sudheer, Mahe Jabeen Abdul
Year: 2024

Title: Real-Time Customer Journey Mapping: Combining AI and Big Data for Precision Marketing
Authors: Shafeeq Ur Rahaman
Year: 2024

Title: The Rise of Explainable AI in Data Analytics: Making Complex Models Transparent for Business Insights
Authors: Shafeeq Ur Rahaman
Year: 2024

Title: Real-Time Campaign Optimization: Using Analytics to Adapt Marketing Strategies on the Fly
Authors: Shafeeq Ur Rahaman
Year: 2023

Title: AI-Driven Empathy in UX Design: Enhancing Personalization and User Experience Through Predictive Analytics
Authors: Shafeeq Ur Rahaman
Year: 2023

Title: Precision Healthcare Meets DevOps: Secure Data Science Pipelines for Scalable Machine Learning
Authors: Rishitha Kokku, Shafeeq Ur Rahaman
Year: 2023

Title: An Explainable AI Model in Fintech Risk Management in Small and Medium Companies
Authors: Shafeeq Ur Rahaman
Year: 2023

Title: Explainable AI and Interpretable Machine Learning in Financial Industry Banking
Authors: Shafeeq Ur Rahaman
Year: 2023

Conclusion

Mr. Shafeeq Ur Rahaman exemplifies a rare combination of research excellence, technical expertise, and practical impact. His extensive publication record, spanning high-impact journals and diverse domains such as financial analytics, predictive modeling, AI, and sustainable technologies, reflects both innovation and scholarly rigor. Beyond research, his patents, leadership in conferences, and contributions to industry-scale analytics demonstrate the tangible application of his knowledge to real-world challenges. His mentorship, collaboration across domains, and recognition through prestigious awards and professional fellowships further highlight his influence in both academic and professional communities. Collectively, these accomplishments establish him as a thought leader whose work advances knowledge, drives innovation, and shapes future directions in analytics, AI, and computational research. He is clearly a strong candidate for recognition as a Best Researcher, with a proven track record of impactful contributions and continued potential for transformative work.

Md Minhajul Amin | Business Data Analysis | Best Researcher Award

Published on by World Top Scientists

Mr. Md Minhajul Amin | Business Data Analysis | Best Researcher Award

Assistant General Manager and Data Analyst at Days Inn & Suites by Wyndham Warren, United States

Md Minhajul Amin is an accomplished researcher and professional with expertise spanning healthcare analytics, artificial intelligence, big data, and digital systems. Holding advanced degrees in information systems and business administration, he combines strong analytical skills with practical experience in data analysis, project management, and operational optimization. His research portfolio includes impactful studies on machine learning for cancer detection, AI in project management, and telemedicine solutions, demonstrating a commitment to solving real-world challenges. Professionally, he has led initiatives to improve efficiency, enhance service quality, and drive community engagement. Recognized through awards, scholarships, and leadership roles, he has shown the ability to integrate academic rigor with practical results. Active in academic and professional communities, his memberships and leadership positions reflect a collaborative and forward-thinking approach. With a continued focus on research specialization and scholarly contributions, he is well-positioned to make significant contributions to his field and beyond.

Professional Profile 

Google Scholar

Education

Md Minhajul Amin holds a Master of Science in Information Systems from Central Michigan University, specializing in business data analytics and project management, complemented by a Master of Business Administration and a Bachelor of Business Administration from Premier University, Bangladesh. His education reflects a strong interdisciplinary foundation, blending technical expertise with strategic business insight. Through his academic journey, he has engaged in diverse research and project work, from healthcare system development to marketing analysis, demonstrating the ability to bridge data-driven decision-making with organizational objectives. He has also completed multiple professional training programs in areas such as process mining, supply chain management, robotics process automation, and food safety, enhancing his technical and operational competencies. His academic background is marked by consistent achievement, supported by scholarships and recognition for both academic and extracurricular contributions, positioning him as a well-rounded professional equipped for impactful research and leadership roles.

Experience

Md Minhajul Amin has gained extensive professional experience across data analytics, project management, operations, and leadership roles in both the United States and Bangladesh. As Assistant General Manager and Data Analyst at Monroe Inns Inc., he has implemented data-driven strategies to optimize operations, improve efficiency, and enhance customer satisfaction. His prior role as Senior Executive at Rigel Shipping Services involved managing a large team, overseeing projects for port authorities, and driving operational excellence. At Central Michigan University, he served as a Student Coordinator and Student Assistant, conducting research on community engagement, service optimization, and library accessibility. His roles consistently demonstrate the ability to apply research insights to practical challenges, collaborate across teams, and lead initiatives that produce measurable results. Combining technical knowledge with organizational leadership, he has developed a reputation for innovation, adaptability, and the capacity to deliver high-impact outcomes across diverse sectors.

Research Focus

Md Minhajul Amin’s research centers on applying advanced analytics, artificial intelligence, and data-driven methodologies to address practical challenges in healthcare, project management, and digital systems. His projects have explored machine learning for cancer stage classification, AI-powered project portfolio management, telemedicine accessibility, fraud detection using multivariate analysis, and customer segmentation for personalized marketing. He is particularly interested in the intersection of technology and business strategy, focusing on how big data and AI can enhance decision-making, operational efficiency, and service delivery. His work demonstrates a balance between technical sophistication and applicability, emphasizing solutions that bridge the gap between research theory and real-world implementation. Through interdisciplinary approaches, he aims to contribute to the evolution of data-centric systems that not only improve organizational performance but also generate meaningful social impact, especially in areas like healthcare accessibility and digital transformation in developing regions.

Award and Honor

Md Minhajul Amin has been recognized for his academic excellence, professional contributions, and leadership achievements through multiple awards and honors. He received the Libraries Student Employee Scholarship Award for his dedication and performance at Central Michigan University, along with appreciation from the Mary Ellen Brandell Volunteer Center for his community engagement efforts. Professionally, he earned the Best Employee Performance Award at Rigel Shipping Services for exceptional service and innovation. He is a Lean Six Sigma Green Belt certified professional, demonstrating his expertise in process improvement and operational efficiency. His competitive spirit and problem-solving skills were highlighted when he became champion in the Game of 10 Business Logic competition by Southeast Bank Ltd. His consistent recognition across academic, professional, and extracurricular domains reflects his commitment to excellence, leadership, and impactful contributions, reinforcing his profile as a well-rounded and high-achieving individual in both research and professional settings.

Publications Top Notes

  • Title: Developing a Project Management Dashboard for Telehealth Implementation
    Authors: MM Amin, ZS Munmun, J Atayeva, SW Ahmed, I Shamim, MH Akter
    Year: 2025
    Citations: 12

  • Title: Telemedicine and Remote Healthcare: Bridging the Digital Divide
    Authors: MNM Sunny, U Sumaiya, MH Akter, F Kabir, ZS Munmun, B Nurani, MM Amin
    Year: 2024
    Citations: 4

  • Title: Numerical Analysis of Multivariate Data for Fraud Detection
    Authors: MNM Sunny, KMS Hossain, MM Amin, SN Sadmani
    Year: 2024
    Citations: 3

  • Title: Classification of Cancer Stages Using Machine Learning on Numerical Biomarker Data
    Authors: MNM Sunny, MM Amin, MH Akter, KMS Hossain, A Al Nahian, J Atayeva
    Year: 2024
    Citations: 3

  • Title: Ethical Challenges in Business Analytics: Balancing Data Privacy and Profit
    Authors: T Hossan, BMT Haque, MS Sakib, N Chowdhury, MM Amin
    Year: 2025
    Citations: 1

  • Title: Business Analytics in the Era of Big Data: Driving Informed Decision-Making
    Authors: ME Hoque, B Nurani, N Chowdhury, MS Rahaman, MM Amin
    Year: 2025
    Citations: 1

Conclusion

Md Minhajul Amin’s publication record reflects a strong engagement with emerging and impactful research areas such as telehealth implementation, digital healthcare accessibility, fraud detection, cancer stage classification, business analytics, and ethical considerations in data-driven decision-making. His works demonstrate both technical depth and practical relevance, addressing critical challenges in healthcare, business, and technology. The diversity of topics highlights his interdisciplinary approach and adaptability in applying advanced analytical techniques across multiple domains. While still early in his research career, the growing citation count indicates that his work is gaining recognition within the academic community. With continued focus on high-impact research and strategic dissemination through reputed journals and conferences, he is well-positioned to further enhance his scholarly influence and contribute meaningfully to both academia and industry.

Yu-Chung Chang | Decision Sciences | Best Researcher Award

Published on by World Top Scientists

Prof. Yu-Chung Chang | Decision Sciences | Best Researcher Award

Professor at Putain University, China

Professor Yu-Chung Chang is a distinguished academic and researcher specializing in applied mathematics, game theory, big data analysis, and artificial intelligence. Currently serving as a professor at Putian University, China, he has made significant contributions to the fields of green production decision-making and green supply chain management. With over two decades of teaching and research experience, he has held leadership roles at multiple institutions, including as the Director of the Institutional Research Center at Hsing-Wu University, Taiwan, and the Director of the New Business Big Data Application Teaching and Research Center at Xiamen University Tan Kah Kee College, China. His pioneering research integrates evolutionary and quantum game theory into sustainability-focused business strategies, making him a key figure in interdisciplinary innovation. His work has been published in high-impact SCI and SSCI journals, reflecting his dedication to advancing knowledge in his field.

Professional Profile

Education

Professor Yu-Chung Chang holds a Ph.D. in Applied Mathematics from National Chiao-Tung University, Taiwan, which he earned in 2005. His academic journey has been marked by a strong foundation in mathematical modeling, game theory, and their real-world applications in economics and industry. Prior to his doctoral studies, he pursued rigorous training in mathematics and finance, equipping him with interdisciplinary expertise that bridges theory and practice. Throughout his academic career, he has continued to expand his knowledge in emerging areas such as big data analytics, artificial intelligence, and quantum computing, integrating these fields into his research. His educational background has provided him with the analytical and computational skills necessary to tackle complex decision-making problems in modern business and environmental management.

Professional Experience

With a career spanning over 25 years, Professor Yu-Chung Chang has held various key academic positions in Taiwan and China. From 1998 to 2018, he was a faculty member in the Department of Finance at Hsing-Wu University, Taiwan, where he also served as the Director of the Institutional Research Center. In 2018, he transitioned to Xiamen University Tan Kah Kee College, China, where he played a pivotal role in establishing the Department of Data Science and Big Data Technology and led the New Business Big Data Application Teaching and Research Center. Currently, he is a Professor at the School of Mathematics and Finance, Putian University, China, where he continues to contribute to research and education. His leadership in multiple research projects, including eight national-level projects in Taiwan and provincial-level projects in China, showcases his expertise in managing large-scale academic initiatives.

Research Interests

Professor Yu-Chung Chang’s research focuses on game theory, applied mathematics, big data analytics, and artificial intelligence, with a particular emphasis on green production decision-making and sustainable supply chain management. His pioneering work in evolutionary and quantum game theory has provided novel insights into optimizing environmental policies and corporate strategies. He is especially interested in how game-theoretic models can be used to design eco-friendly business practices, promote government and public participation in sustainability, and enhance decision-making in uncertain economic environments. His recent studies, published in high-impact journals, explore the intersection of mathematical modeling, economics, and environmental science, making his work highly relevant in addressing global sustainability challenges. His interdisciplinary approach positions him as a leading scholar in using mathematical and AI-driven solutions to tackle pressing environmental and economic issues.

Awards and Honors

Throughout his career, Professor Yu-Chung Chang has received multiple awards and recognitions for his contributions to research and academia. His groundbreaking work in green supply chain management and sustainable business strategies has earned him recognition from international conferences and research organizations. His highly cited publications in SCI and SSCI journals reflect his influence in the field of applied mathematics and game theory. In addition to academic honors, he has led national and provincial research projects, demonstrating his ability to secure funding and execute impactful studies. His contributions to interdisciplinary research have positioned him as a strong contender for prestigious accolades such as the Best Researcher Award. As he continues to innovate in the field of big data analytics and artificial intelligence, his work is set to have a lasting impact on academia and industry alike.

Conclusion

Professor Yu-Chung Chang is a strong candidate for the Best Researcher Award due to his contributions to game theory applications in green supply chain management and environmental decision-making. His research output in SCI and SSCI journals, leadership in projects, and academic experience position him well for recognition.

Publications Top Noted

Author: Yuchung Chang
Year: 2024
Citation: “The tripartite evolutionary game of enterprises’ green production strategy with government supervision and people participation.” Journal of Environmental Management, 2024.

Osama Sohaib | Information Systems | Best Researcher Award

Published on by World Top Scientists

Dr. Osama Sohaib | Information Systems | Best Researcher Award

Associate Professor, American University of Ras Al Khaimah, United Arab Emirates

Dr. Osama Sohaib is an Associate Professor of Business Analytics at the American University of Ras al Khaimah, UAE. He holds a Ph.D. in Information Systems from the University of Technology Sydney, Australia. With over 15 years of teaching experience, Dr. Sohaib is dedicated to educating and mentoring undergraduate and postgraduate students in information systems, focusing on the intersection of technology and business. 🌍📚

Publication Profile

Google Scholar

Education

Dr. Sohaib earned his Ph.D. in Information Systems in 2015 from the University of Technology Sydney, Australia. He is currently pursuing a Master of Business Analytics at the University of Queensland and holds a Graduate Certificate in Applied Artificial Intelligence from Charles Sturt University. His academic journey also includes a Master of Science in Computer Science, a Postgraduate Diploma in Information Management, and a Bachelor of Science in Software Development. 🎓📖

Experience

With over 15 years of experience in academia, Dr. Sohaib has held various positions, including Associate Professor at the American University of Ras al Khaimah and Lecturer at the University of Technology Sydney. He has also taught at Macquarie University and the University of New South Wales. His roles have included supervising research students, coordinating academic programs, and contributing to funded projects in business information systems. 💼👨‍🏫

Research Focus

Dr. Sohaib’s research interests encompass business information systems, e-services, digital privacy, digital transformation, business intelligence, decision-making, and applied machine learning. His work aims to enhance service effectiveness across various sectors, including digital business, healthcare, education, and government, with a strong emphasis on the ethical and societal implications of technology. 💡🔍

Awards and Honors

Dr. Sohaib has received multiple accolades, including the “Research of the Year” award from the School of Business at AURAK for his exceptional research contributions in 2023 and 2024. He was also honored with the “Best Paper Award” at the 25th International Conference on Information Systems Development in 2016 for his work on web content accessibility. 🏆🌟

Publication Top Notes

Assessing Web Content Accessibility of E-Commerce Websites for People with Disabilities
Best Paper Award, 2016
Link to Publication | 2016 | Journal of Information Systems Development | Cited by: 120

Digital Privacy in the Age of Big Data and Machine Learning: People’s Expectations and Experiences
Link to Publication | 2022 | International Journal of Information Management | Cited by: 85

Factors Influencing Continuance Intention in Augmented Reality Platforms
Link to Publication | 2023 | Journal of Business Research | Cited by: 45

Opportunities and Challenges in the Implementation of AI in Accounting and Auditing Software
Link to Publication | 2024 | International Journal of Accounting Information Systems | Cited by: 10

The Effect of Individual’s Technological Belief and Usage on their Absorptive Capacity towards their Learning Behaviour in the Learning Environment
Link to Publication | 2020 | Computers & Education | Cited by: 30