Fatimah Hameed Naser | Data Science | Best Researcher Award

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Prof. Dr. Fatimah Hameed Naser | Data Science | Best Researcher Award

Prof. Dr. Fatimah Hameed Naser, Al-Qasim Green University, Iraq

Prof. Dr. Fatimah Hameed Naser is a distinguished professor of structural engineering at Al-Qasim Green University, Iraq. With a Ph.D. in Structural Engineering from Babylon University, her research specializes in advanced concrete technologies, fiber-reinforced polymers (FRP), finite element modeling, and sustainable construction materials. She has authored numerous peer-reviewed publications and contributed significantly to civil engineering education and innovation in Iraq.

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Summary:

Prof. Dr. Fatimah Hameed Naser is an accomplished structural engineering academic whose research is both technically rigorous and socially relevant. Her contributions to sustainable concrete materials, structural behavior modeling, and civil engineering education highlight her as a strong candidate for the Research for Best Researcher Award. She combines domain-specific knowledge with a commitment to innovation and education in Iraq’s engineering sector.

🎓 Education

Dr. Fatimah Hameed Naser Al-Mamoori holds a distinguished academic background in civil and structural engineering. She earned her Bachelor of Science in Civil Engineering in 2008 from Babylon University, Iraq. She continued her graduate studies at the same institution, completing a Master of Science in Structural Engineering in 2011. Her academic journey culminated in a Ph.D. in Structural Engineering from Babylon University in 2015, further solidifying her expertise in the field.

💼Experience

Dr. Al-Mamoori has served as a researcher and Assistant Professor in Structural Engineering at the College of Engineering, Al-Qasim Green University, Babylon, Iraq, since October 2015. Over the years, she has contributed significantly to academia through both teaching and research. Her academic role involves mentoring students, supervising research, and advancing structural engineering knowledge with a focus on innovative materials and modeling techniques.

🔬Research Focus

Her research primarily focuses on the structural behavior of concrete systems and the use of advanced materials to enhance performance. Key themes in her work include lightweight concrete reinforced with carbon fiber-reinforced polymer (CFRP) bars, the flexural and shear behavior of concrete elements, the incorporation of local materials in structural concrete, and the application of steel and carbon fibers to improve structural integrity. She also explores innovative solutions to issues like concrete behavior in hot climates, the role of industrial and waste fibers in construction, and finite element modeling for structural optimization.

🛠️Skills

Dr. Al-Mamoori possesses a strong portfolio of technical and analytical skills in structural engineering. Her expertise includes fiber-reinforced polymers (FRP), finite element analysis, structural analysis, construction techniques, and the use of finite element modeling. She is highly skilled in civil engineering materials, concrete technologies, reinforced concrete structures, and the evaluation of flexural and shear strength. Her applied knowledge spans both experimental and analytical research methodologies.

🏆Awards

Dr. Al-Mamoori is recognized for her prolific contributions to structural engineering through numerous research publications in peer-reviewed journals and international platforms. Her work has been indexed in Scopus, Publons, Google Scholar, and ResearchGate, reflecting both impact and global visibility. Although specific awards are not listed, her sustained academic and research excellence positions her as a leading researcher in structural engineering in Iraq.

📚 Publications

Title: Torsional Behavior of Concrete-Filled Steel Tubular Members: State of the Mini Art Review
Authors: Mohammed Jassim Soudi Al-Mangoshi (M.J.S.), Ali Hameed Naser Almamoori (A.H.N.), Fatimah H. Naser (F.H.)

Title: Load Capacity of RC Members Subjected to Marine Environment and Rehabilitated with FRP: State of the Art Review
Authors: Mohammed Karar Hadi (M.K.), Ali Hameed Naser Almamoori (A.H.N.), Fatimah H. Naser (F.H.)

Conclusion:

Prof. Dr. Fatimah Hameed Naser is suitable for the Research for Best Researcher Award. Her blend of academic leadership, applied research excellence, and technical innovation aligns well with the award’s objectives. With strategic enhancements in research impact visibility and international recognition, she can further solidify her standing as one of the leading researchers in her field.

Zhiyong Zhang | Data Science | Best Researcher Award

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Dr. Zhiyong Zhang | Data Science | Best Researcher Award

Dr. Zhiyong Zhang, Tianjin university of traditional Chinese medicine, China

Dr. Zhiyong Zhang is a Ph.D. candidate at Tianjin University of Traditional Chinese Medicine, China. His research focuses on the integration of modern analytical techniques and artificial intelligence to enhance quality evaluation and control in Traditional Chinese Medicine (TCM). With expertise in LC/GC-MS, ICP-MS, NIR, and LIBS, he has contributed to over 20 peer-reviewed publications, including 12 SCI-indexed papers as first or co-first author. His work advances real-time, data-driven approaches for TCM manufacturing and herbal product authentication.

Profile

Scopus

Summary:

Dr. Zhiyong Zhang is a rising star in the field of Traditional Chinese Medicine research, demonstrating excellence in combining classical medical knowledge with state-of-the-art analytical and computational techniques. His research is not only scientifically rigorous but also highly relevant to real-world applications in medicine production, safety, and quality assurance. With a growing list of impactful publications and innovative methodologies, he exemplifies the type of interdisciplinary thinker the Research for Best Researcher Award aims to recognize.

🎓 Education

Zhiyong Zhang, born in September 1997 in Huaibei, Anhui, China, is currently a Ph.D. candidate in Traditional Chinese Medicine at the Tianjin University of Traditional Chinese Medicine, under the supervision of Researcher Wenlong Li. He began his doctoral studies in September 2022. Prior to this, he participated in a joint master’s training program at the First Institute of Oceanography, Ministry of Natural Resources, from September 2021 to June 2022, where he worked with Researcher Junhui Chen. Zhang completed his Master of Science in Traditional Chinese Medicine at the Tianjin University of Traditional Chinese Medicine from September 2020 to June 2021. His academic journey began with a Bachelor of Science in Traditional Chinese Medicine Pharmaceutical at the same university, completed between 2015 and 2019.

💼Experience

Dr. Zhiyong Zhang has extensive academic and research experience in the field of Traditional Chinese Medicine (TCM). He is currently pursuing his Ph.D. at Tianjin University of Traditional Chinese Medicine, where he focuses on quality assessment and control of TCM using advanced analytical technologies and artificial intelligence. He previously participated in a joint master’s training program at the First Institute of Oceanography, Ministry of Natural Resources, where he gained interdisciplinary experience in TCM analysis and data integration. He also completed both his Master’s and Bachelor’s degrees in Traditional Chinese Medicine and Pharmaceutical Sciences at Tianjin University of Traditional Chinese Medicine. Over the years, Dr. Zhang has developed strong expertise in applying chemometrics, metabolomics, and spectroscopy-based techniques to improve the reliability and efficiency of TCM research and manufacturing.

🔬Research Focus

Zhiyong Zhang’s research centers on advancing the quality evaluation and control of Traditional Chinese Medicine (TCM) through modern analytical and computational techniques. His interests include machine learning-based quality analysis of TCM using multimodal data, rapid on-site quality control of Chinese herbal materials and processed products, and the development of multidimensional quality evaluation systems integrating metabolomics, elementalomics, and chemometrics. He also focuses on the application of Process Analytical Technology (PAT) for real-time monitoring of critical quality attributes in TCM manufacturing.

🛠️Skills

He is proficient in a wide range of analytical techniques, including Liquid/Gas Chromatography-Mass Spectrometry (LC/GC-MS), Inductively Coupled Plasma Mass Spectrometry (ICP-MS), Near-Infrared Spectroscopy (NIR), and Laser-Induced Breakdown Spectroscopy (LIBS). His expertise spans both laboratory-based and field-deployable technologies, enabling high-throughput and real-time analysis of complex herbal matrices.

🏆Awards

Zhiyong Zhang has made significant contributions to the field with over 20 peer-reviewed publications, including 12 SCI-indexed papers where he served as the first author or co-first author. He has also filed three patent applications related to his research innovations in TCM quality control and evaluation technologies.

📚 Publications

1. Journal of Food Composition and Analysis (2025)

Title: Investigating the impact of geographical origin and harvesting season on the quality of Hypericum perforatum L. using LC-MS, GC-MS, and ICP-MS technologies in conjunction with random forest model
Authors: Zhang Zhiyong, Qian Jiahe, Fang Guangpu, Chen Jingchao, Li Wenlong

2. Phytochemical Analysis (2025)

Title: A Machine Learning-Based Approach for the Prediction of Anticoagulant Activity of Hypericum perforatum L. and Evaluation of Compound Activity
Authors: Zhang Zhiyong, Nie Wennan, Zhang Yijing, Zhang Shule, Li Wenlong

Conclusion:

Dr. Zhiyong Zhang is highly suitable for the Research for Best Researcher Award. His achievements to date already place him among the most promising young researchers in the field of TCM. With continued support and opportunities to expand his global and practical influence, he is poised to make even greater contributions to science and society.