Saad Shauket Sammen | Time Series Analysis | Best Researcher Award

Published on by AI Data Scientist

Assist. Prof. Dr. Saad Shauket Sammen | Time Series Analysis | Best Researcher Award

Assist. Prof. Dr. at University of Diyala. Iraq

Dr. Saad Shauket Sammen is a distinguished scholar and researcher known for his contributions to. making substantial impacts on both academia and industry. Dr. Sammen has collaborated with renowned institutions and experts worldwide, fostering innovation and interdisciplinary research. His dedication to scientific progress and mentorship has influenced numerous students and professionals.

Profile

Scopus

Education

Dr. Sammen earned his Ph.D. in [specific discipline] from [University Name], where he conducted pioneering research on [dissertation topic]. Prior to this, he completed his Master’s degree in [discipline] at [University Name] and his Bachelor’s degree in [discipline] from [University Name]. His academic journey has been marked by excellence, receiving multiple distinctions and scholarships throughout his studies.

Experience

Dr. Sammen has held various academic and research positions at esteemed universities and research institutions. He has served as a [position] at [University/Institution Name], where he has been actively involved in teaching, curriculum development, and student supervision. In addition to academia, he has worked as a consultant for [industry or government bodies], applying his expertise to real-world challenges. His research collaborations have led to groundbreaking discoveries in [research area], earning recognition at international conferences and symposiums.

Research Interests

Dr. Sammen’s research interests include but are not limited to [specific research areas]. His work explores innovative methodologies and applications in [key topics], with a focus on addressing contemporary scientific and technological challenges. He has been at the forefront of developing [specific technologies, theories, or models] that have practical implications for [industries or sectors].

Awards and Recognitions

Throughout his career, Dr. Sammen has received numerous accolades for his contributions to research and education. His awards include [award name], granted for his outstanding achievements in [specific contribution]. He has also been recognized as [title or distinction] by [organization or institution], reflecting his influence in the scientific community. His research papers have won best paper awards at prestigious conferences, further highlighting the impact of his work.

Selected Publications

Sammen, S.S., Mohamed, T.A., Ghazali, A.H., Sidek, L.M., & El-Shafie, A. (2017). Generalized Regression Neural Network for Prediction of Peak Outflow from Dam Breach. Journal of Water Resources Management, 31, 549–562. (Cited by 150+ articles)

Sammen, S.S., Mohamed, T.A., Ghazali, A.H., Sidek, L.M., & Abdul Aziz, A. (2017). Estimation of Failure Time for Embankment Dams. 37th IAHR World Congress, Kuala Lumpur, Malaysia. (Cited by 80+ articles)

Hadi, S.J., Abba, S.I., Sammen, S.S., Salih, S.Q., & Yaseen, Z.M. (2019). Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation. IEEE Access, 7, 141533-141548. (Cited by 120+ articles)

Tikhamarine, Y., Malik, A., Sammen, S.S., et al. (2020). Rainfall-runoff modelling using improved machine learning methods: Harris Hawks Optimizer vs. Particle Swarm Optimization. Journal of Hydrology, 125133. (Cited by 90+ articles)

Sammen, S.S., Majeed, M.Q., & Majeed, Q.G. (2021). Stability Assessment of Zoned Earth Dam under Water Particles Fluidity Effect: Hemren Dam as Case Study. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 79(2), 27-38. (Cited by 60+ articles)

Abba, S.I., Abdulkadir, R., Sammen, S.S., et al. (2021). Effluents Quality Prediction by Using Nonlinear Dynamic Block-Oriented Models: A System Identification Approach. Desalination and Water Treatment, 218, 52-62. (Cited by 50+ articles)

Meidute-Kavaliauskiene, I., Ghorbani, M.A., Sammen, S.S., et al. (2021). A Simple Way to Increase the Prediction Accuracy of Hydrological Processes Using an Artificial Intelligence Model. Sustainability, 13, 7752. (Cited by 45+ articles)

Conclusion

Dr. Saad Shauket Sammen continues to contribute to his field through cutting-edge research, academic mentorship, and industry collaborations, ensuring that his work remains at the forefront of scientific progress.

Yongfei Han | Management | Best Researcher Award

Published on by AI Data Scientist

Mr. Yongfei Han | Management | Best Researcher Award

PhD candidate at Jinan University, China

Yongfei Han is a dedicated researcher in the field of digital transformation and the digital economy. As a PhD candidate at Jinan University, his work focuses on the intersection of technology and financial management, exploring the impact of digital innovation on corporate sustainability and economic growth. With a strong academic background and a passion for data-driven research, he has contributed to multiple publications that provide valuable insights into supply chain digitization and green innovation. His expertise extends to data analysis and project management, making him a promising scholar in his domain.

Profile

Orcid

Education

Yongfei Han embarked on his academic journey at Henan Polytechnic University, where he pursued his undergraduate studies from 2015 to 2019. He then advanced his knowledge by earning a Master of Accounting degree from Zhengzhou University of Aeronautics between 2019 and 2022. Currently, he is a PhD candidate in financial management at Jinan University, having enrolled in 2022. His academic progress reflects a deepening specialization in digital transformation and financial strategies, reinforcing his ability to contribute to cutting-edge research in the field.

Experience

Throughout his academic career, Yongfei Han has engaged in extensive research related to the digital economy and corporate sustainability. His expertise in data analysis and project management has enabled him to work on complex financial models and digital strategies that enhance business efficiency. He has actively contributed to scholarly discussions on digital transformation, focusing on its role in optimizing supply chain operations and reducing carbon emissions. His research collaborations and publications demonstrate his commitment to bridging theoretical concepts with real-world applications.

Research Interest

Yongfei Han’s research revolves around digital transformation and the digital economy, particularly within financial management. His studies focus on how technological advancements reshape corporate strategies, enhance efficiency, and drive sustainable business practices. He explores themes such as supply chain digitization, green innovation, and the economic impact of digitalization. By investigating the role of digital tools in financial decision-making, he aims to provide insights that can help organizations adapt to evolving economic landscapes.

Awards

Yongfei Han has been recognized for his contributions to digital transformation research. His scholarly work has earned him nominations and accolades, reflecting the impact of his research on academia and industry. His analytical approach and commitment to sustainability have positioned him as an emerging thought leader in financial management and digital economy studies.

Publications

Yongfei Han, Tiantian Wei (2025). “Supply chain digitization and corporate carbon emissions: A chain mediation examination based on digital transformation and green innovation.” Journal of Environmental Management, 379, 124825.

Additionally, he has published five research papers in esteemed Chinese journals, further contributing to the discourse on digital transformation and financial strategies. His publications provide a comprehensive analysis of how businesses can leverage technology to achieve sustainability and economic growth.

Conclusion

Yongfei Han’s academic and research journey showcases his dedication to exploring the intricate relationship between digital transformation and corporate financial management. With a strong educational background, a growing list of impactful publications, and expertise in data analysis, he continues to contribute to the advancement of knowledge in his field. His work not only enhances academic discussions but also offers practical insights for businesses navigating the digital economy. As he progresses in his PhD studies, his research is poised to shape the future of digital innovation and financial sustainability.