Mahmoud Elsayed | Digital Transformation | Best Researcher Award

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Mr. Mahmoud Elsayed | Digital Transformation | Best Researcher Award

Mr. Mahmoud Elsayed | Digital Transformation | PhD Student at University of Pittsburgh | United States

Mr. Mahmoud Ashraf is an emerging scholar whose research bridges the fields of supply chain management, blockchain, digital twin technologies, and machine learning. He has established himself as a dedicated researcher with a growing academic impact, reflected through citations and recognition within the global research community. His work is characterized by innovation, depth of analysis, and a strong focus on solving real-world challenges faced by modern supply chains. Through collaborations with international institutions and contributions to high-quality journals, Mr. Mahmoud Ashraf has positioned himself as a promising leader in the research landscape.

Academic Profile:

ORCID

Scopus

Google Scholar

Education:

Mr. Mahmoud Ashraf is currently pursuing his doctoral studies at the University of Pittsburgh, where his academic journey is dedicated to developing robust and intelligent solutions for supply chain disruptions. His education has provided him with the technical expertise and research capabilities to explore complex problems in logistics, operations, and digital innovation. His doctoral training emphasizes interdisciplinary learning, combining engineering principles with computational modeling, artificial intelligence, and operations research. This solid academic foundation has enabled him to contribute meaningfully to both theoretical advancements and applied projects in his domain.

Experience:

Mr. Mahmoud Ashraf has accumulated valuable experience through active involvement in international research collaborations and joint academic initiatives. His collaborative projects with the Egypt-Japan University of Science and Technology and other globally recognized institutions showcase his commitment to advancing the supply chain and operations research field. He has participated in studies addressing project completion time prediction, disruption detection, and recovery planning in complex, technology-enabled environments. These projects highlight his capacity to contribute to multidisciplinary teams and deliver impactful outcomes. His experience also extends to presenting research at scholarly forums and disseminating findings in peer-reviewed journals and conferences indexed in Scopus and IEEE.

Research Interest:

Mr. Mahmoud Ashraf’s research interests lie at the intersection of supply chain resilience, artificial intelligence, and digital innovation. He is particularly focused on blockchain-enabled supply chain systems, cognitive digital supply chain twins, and hybrid deep learning approaches for disruption detection and recovery strategies. His work contributes to advancing knowledge on predictive modeling, time-to-recovery analysis, and cognitive systems that strengthen the efficiency and adaptability of global supply chains. By integrating machine learning with supply chain modeling, he seeks to create intelligent frameworks that not only forecast disruptions but also provide actionable solutions for recovery. His interests extend to promoting sustainability, agility, and competitiveness in supply chains, reflecting his forward-looking approach to research.

Award:

Mr. Mahmoud Ashraf has demonstrated significant academic promise and leadership, making him a strong candidate for recognition in international research awards. His work has contributed to the body of knowledge in operations research and emerging technologies, with publications that have gained citations and visibility among peers. This recognition underscores his ability to conduct impactful research that resonates with both academics and practitioners. His academic trajectory reflects qualities aligned with award-winning scholarship, including innovation, collaboration, and commitment to societal impact.

Selected Publication:

  • Evaluation of project completion time prediction accuracy in a disrupted blockchain-enabled project-based supply chain (2023, 14 citations)

  • Disruption detection for a cognitive digital supply chain twin using hybrid deep learning (2024, 13 citations)

  • Time-To-Recovery Prediction in a Disrupted Three-Echelon Supply Chain Using LSTM (2022, 6 citations)

  • A Hybrid Deep Learning-Based Approach for Disruption Detection and Recovery Planning in a Prototype Cognitive Digital Supply Chain Twin (2025, citations pending)

Conclusion:

In conclusion, Mr. Mahmoud Ashraf is a highly motivated researcher whose contributions to supply chain resilience, blockchain systems, and machine learning reflect both academic rigor and practical relevance. His scholarly achievements, combined with his collaborative spirit and growing international profile, make him an exceptional candidate for recognition. His publications have already established a foundation of academic influence, while his ongoing research promises to address pressing global challenges in supply chain disruptions and digital transformation. With a trajectory marked by innovation, dedication, and leadership potential, Mr. Mahmoud Ashraf is strongly deserving of this award nomination.

 

 

Rui Liu | Technology | Best Researcher Award

Published on by Awards and Recognitions

Prof. Rui Liu | Technology | Best Researcher Award

Prof. Rui Liu | Technology – Professor at Huazhong Agricultural University, China

Dr. Rui Liu is a distinguished researcher at Huazhong Agricultural University, China, specializing in food science, metabolomics, and bioactive compounds. Her career has been marked by extensive contributions to the study of functional foods, particularly focusing on the metabolic characteristics and biological impacts of catechins, flavan-3-ols, procyanidins, and phenolamines. With over 67 publications indexed in Scopus, 1,353 citations, and an h-index of 22, Dr. Liu has made significant advances in understanding how bioactive food components contribute to human health, aging, and disease prevention. Her interdisciplinary expertise integrates biochemistry, nutritional sciences, and agricultural innovation, making her a leading voice in metabolomics-driven functional food research.

Academic Profile:

Scopus

Education

Dr. Liu earned her doctoral degree (Ph.D.) from Huazhong Agricultural University, where she developed advanced research skills in untargeted and targeted metabolomics, bioactivity profiling, and food bioengineering. Her doctoral research centered on the transformation and bioavailability of polyphenolic compounds in agricultural and functional foods, laying the groundwork for her expertise in integrating omics approaches with human health and agricultural systems.

Experience

Over the course of her academic career, Dr. Liu has worked extensively on collaborative projects that span food science, nutritional metabolomics, and agricultural sustainability. She has participated in national and international research consortia, contributing to studies involving the bioactive potential of plant-derived compounds, bee products, and functional food ingredients. Her involvement extends to peer review activities, scientific committee roles at academic conferences, and the mentorship of graduate students, enhancing her impact as both a researcher and academic leader.

Research Interest

Dr. Liu’s primary research interests include metabolomics analysis of bioactive compounds, antioxidant mechanisms, anti-aging pathways, and lipid metabolism regulation influenced by plant-based and apian-derived substances. She is particularly focused on functional food development and the translation of bioactive compound research into nutritional and therapeutic innovations. Her work bridges the gap between food science and human health by investigating compounds such as procyanidins, catechins, and phenolamines for their protective and therapeutic properties in metabolic and degenerative conditions.

Award

Dr. Rui Liu has been nominated for the Best Researcher Award 2025 in recognition of her significant publication record, high citation impact, international collaborations, and leadership contributions to the field of food metabolomics and bioactive compound research. Her work stands out for its practical applications in nutrition and health, reinforcing her position as a global contributor to scientific advancement.

Publications

🍃 Metabolic characteristics of catechin, B-type and A-type linkage flavan-3-ols revealed by metabolomics, Food Research International, 2025 – cited by 12 articles.
🥜 Integrated multi-omics analysis of peanut skin procyanidins regulating lipid metabolism in obese mice, Nutrients, 2025 – cited by 9 articles.
🐝 Antioxidant and anti-aging effects of queen bee larvae protein hydrolysates in Drosophila melanogaster, International Journal of Biological Macromolecules, 2025 – cited by 7 articles.
🌼 Apricot bee pollen alleviates deoxynivalenol-induced toxicity in bovine granulosa cells, Animals, 2025 – cited by 10 articles.
🍯 Characterization and geographical discrimination of Rhus chinensis honeys by physicochemical and antioxidant parameters, Journal of Food Measurement and Characterization, 2025 – cited by 8 articles.
🌾 Phenolamine in rape bee pollen and its protective effect against alcoholic liver injury, Food Science and Human Wellness, 2025 – cited by 6 articles.

Conclusion

Dr. Rui Liu exemplifies the qualities of an outstanding scientific leader whose research continues to advance the understanding of functional food components and their impact on human health. Her extensive record of publications, citation metrics, and collaborations with international institutions highlight her as a driving force in metabolomics and food bioengineering. With ongoing studies addressing lipid metabolism, anti-aging mechanisms, and the functional potential of plant and apian bioactives, Dr. Liu’s future contributions are expected to significantly shape nutritional sciences and agricultural innovation. Her dedication to research, mentorship, and scientific dissemination make her a deserving recipient of the Best Researcher Award 2025, representing excellence in both academic and societal contributions.