Saad Shauket Sammen | Time Series Analysis | Best Researcher AwardPredictive Analytics

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

Dr. Saad Shauket Sammen is a distinguished scholar and researcher known for his contributions to [field of expertise]. With a career spanning over [number] years, he has established himself as a leading authority in [specific research area]. His work has significantly advanced knowledge in [related field], 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.

Prof. Noorliza Karia | Big Data Analytics | Best Researcher Award

Prof Dr. at Chartered Inst. of Logistics and Transportation, Malaysia

Professor Dr. Noorliza Karia, FCILT, is an esteemed academic and expert in logistics, supply chain management, and business operations. With an extensive career spanning research, teaching, and consultancy, she has significantly contributed to the fields of innovation, sustainability, and technology applications in logistics. Currently, she serves as an expert consultant at Guangzhou Sunrun Digital Technology Company Limited and a visiting professor at the Shandong Institute of Commerce and Technology. Over the years, she has played a pivotal role in logistics education, professional accreditation, and scholarly contributions, establishing herself as a leading figure in the industry.

Profile

Scopus

Education

Professor Dr. Noorliza Karia holds a Ph.D. in Management from the University of Hull, United Kingdom, and an MBA from Universiti Sains Malaysia. Her academic journey began with a BSc.BA in Production and Operations Management from the University of Denver, United States of America. Her strong educational foundation has enabled her to integrate theory with practice, making her a thought leader in logistics and operations management.

Experience

With a wealth of experience in academia and industry, Professor Dr. Noorliza Karia has held numerous influential positions. She has served as an expert consultant at Guangzhou Sunrun Digital Technology Company Limited (2024–2027), a visiting professor at the Shandong Institute of Commerce and Technology (2024–2026), and a programme assessor at the University Kuala Lumpur (2024–2026). Additionally, she is a Fellow Chartered member of the Chartered Institute of Logistics and Transport (FCILT). She has contributed to logistics education as an external panelist for logistics programs at Bahrain Polytechnic (2023–2025) and as a member of the Graduate Committee for Higher Degree Programs at Universiti Sains Malaysia (2016–2024). Her leadership roles have included serving as the Section Head for Islamic Finance (2016–2017) and Finance (2016–2017) at Universiti Sains Malaysia. She has also been a coordinator for professional logistics accreditation and a Ph.D. examiner and grant assessor for various institutions since 2013. Her role as a reviewer for high-impact journals further underscores her contributions to academic excellence.

Research Interests

Professor Dr. Noorliza Karia’s research interests encompass innovation, sustainability, technology, logistics, and supply chain management. Her work explores the integration of artificial intelligence in logistics, green supply chain practices, and environmental concerns in business operations. She is deeply involved in research projects focusing on competitive advantage, sustainability, and technological advancements in logistics and business management.

Awards

Professor Dr. Noorliza Karia’s contributions have been recognized with several prestigious awards. She was a finalist in the Business and Innovation category of the Study UK Alumni Award 2024, organized by the British Council. She has also received multiple publication awards, including the Anugerah Sanggar Sanjung Penerbitan awards in 2019 and 2021 and a publication award from the School of Management, Universiti Sains Malaysia in 2020. Her research excellence has been acknowledged with silver and bronze medals at international innovation and design competitions, such as the Penang International Invention, Innovation and Design (PIID) and the Venus International Women Award for Distinguished Women in Management.

Publications

Professor Dr. Noorliza Karia has published extensively in high-impact ISI and SCOPUS-indexed journals. Some of her notable publications include:

Noorliza (2025). “How ESG Performance Promotes Organizational Resilience: The Role of Ambidextrous Innovation Capability and Digitalization.” Business Strategy & Development, 8(1), e70079.

Liew, C.W.S., Ramayah, T., & Karia, N. (2025). “Consumption value and context-specific attributes: The moderating effect of social class on Halal cosmetics purchase intention.” Asia-Pacific Journal of Business Administration, 17(2), 447-468.

Li, J.; Noorliza, K.; Zhang, X. (2024). “Enhancing Environmental, Social, and Governance Performance through New Quality Productivity and Green Innovation.” Sustainability, 16, 4843.

Liew, C.W.S., & Karia, N. (2024). “Halal cosmetics: A technology-empowered systematic literature review.” Journal of Islamic Marketing, 15(7), 1722-1742.

Islam, M., Tseng, M., & Karia, N. (2019). “Assessment of corporate culture in sustainability performance using a hierarchical framework and interdependence relations.” Journal of Cleaner Production, 217, 676-690.

Tseng, Islam, Karia, Fauzi, & Afrin (2019). “A literature review on green supply chain management: Trends and future challenges.” Resources, Conservation and Recycling, 141, 145-162.

Karia, N. (2018). “How knowledge resource does matter in technology and cost advantages of a firm? Evidence from Malaysian logistics sector.” Asian Journal of Technology Innovation, 26(3), 346-368.

Conclusion

Professor Dr. Noorliza Karia’s contributions to logistics, supply chain management, and business operations are profound. Her extensive experience, scholarly contributions, and professional engagements have positioned her as a leader in her field. Her research on sustainability, innovation, and technology continues to shape industry practices and academic discourse. With numerous accolades and impactful publications, she remains committed to advancing knowledge and fostering excellence in logistics and supply chain management.