Hussein Elhusseiny | Business, Management and Accounting | Research Excellence Award

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Dr. Hussein Elhusseiny | Business, Management and Accounting | Research Excellence Award 

Assistant Professor | Arab Academy for Science, Technology and Maritime Transport | Egypt

Dr. Hussein Magdy Elhusseiny demonstrates a strong and consistent research trajectory in the fields of business administration, logistics, supply chain management, and Industry 4.0, positioning him as a credible candidate for a Research Excellence Award at the early-to-mid career stage. Currently a Teaching Assistant at the Arab Academy for Science, Technology and Maritime Transport and nearing completion of his PhD at the University of Minho, Portugal, his doctoral research on Industry 4.0 adoption among manufacturing SMEs addresses a highly relevant global challenge with particular significance for developing economies. His academic foundation is robust, marked by excellent performance at BSc and MSc levels, with research topics that bridge theory and real-world transport and logistics challenges in Egypt. Hussein has established a solid publication record in reputable peer-reviewed journals, including multiple papers in Procedia Computer Science, reflecting scholarly continuity, methodological rigor, and thematic depth in digital maturity models, smart manufacturing, and SME transformation. His interdisciplinary research integrates technology, logistics, and management, enhancing both academic value and industry relevance. In addition, his international conference presentations across Portugal and Europe demonstrate active engagement with the global research community and continuous dissemination of findings. His contribution as a peer reviewer for international journals and conferences highlights growing recognition of his subject expertise and scholarly judgment. Beyond publications, his participation in research capacity-building programs supported by the U.S. Embassy and advanced technical training in China reflect commitment to research development and international exposure. While his citation impact and independent grant leadership may still be evolving, his consistent output, international collaborations, practical research orientation, and alignment with emerging Industry 4.0 priorities strongly support his suitability for a Research Excellence Award, particularly one recognizing promising researchers with clear potential for high-impact contributions.

Profiles: Google Scholar | ResearchGate

Featured Publications

  1. Elhusseiny, H. M., & Crispim, J. (2022). SMEs, barriers and opportunities on adopting Industry 4.0: A review. Procedia Computer Science, 196, 864–871.

  2. Elhusseiny, H. M., & Crispim, J. (2023). A review of Industry 4.0 maturity models: Adoption of SMEs in the manufacturing and logistics sectors. Procedia Computer Science, 219, 236–243.

  3. Elhusseiny, H. M., & Crispim, J. (2024). A review of Industry 4.0 maturity models: Theoretical comparison in the smart manufacturing sector. Procedia Computer Science, 232, 1869–1878.

  4. El Husseiny, H. M., El Meligy, B., & Hassan, M. (2017). The opportunities and challenges of applying intelligent transport systems on road transport in Egypt: A case study on Cairo–Alexandria desert road. The Business and Management Review, 8(5), 100–110.

  5. Hammad, M. A., Elhusseiny, H. M., Hammad, D. A., & Obrecht, M. (2021). Impacts of COVID-19 on developing countries: A comparative study on foreign trade between China and Egypt. Global Business and Management Research, 13(3), 135–146.

Dr. Hussein Magdy Elhusseiny’s research advances Industry 4.0 and intelligent transport systems by translating digital transformation frameworks into practical models for SMEs in developing economies. His work bridges academia and industry, enabling evidence-based adoption of smart technologies that enhance competitiveness, resilience, and sustainable growth at both national and global levels.

Yuhe Cheng | Medicine and Dentistry | Excellence in Research Award

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Ms. Yuhe Cheng | Medicine and Dentistry | Excellence in Research Award

Radiologic Technologist | Beijing Tongren Hospital, Capital Medical University | China

Ms. Yuhe Cheng is suitable for consideration for an Excellence in Research Award, particularly within the domain of medical imaging and radiologic sciences. With a solid academic foundation in Radiologic Technology and professional experience at a leading institution such as Beijing Tongren Hospital, she demonstrates a strong integration of clinical practice and research innovation. Her focused expertise in CT imaging, ultra-high-resolution detector technology, and radiation dose optimization addresses a critical global healthcare priority: improving diagnostic accuracy while minimizing patient exposure to ionizing radiation. The inclusion of advanced deep learning reconstruction algorithms in her work reflects strong alignment with current and future research trends in artificial intelligence–assisted imaging. Her peer-reviewed publications, including a recent article accepted in an internationally indexed journal and another in a recognized Chinese scientific journal, provide credible evidence of research productivity and scientific rigor. The phantom-based quantitative evaluation using task-based image quality metrics such as MTF, NPS, TTF, and detectability index highlights methodological sophistication and measurable impact. Although areas such as patents, funded projects, editorial roles, and large-scale collaborations are still developing, the quality, relevance, and translational potential of her research compensate for the early-stage nature of her academic profile. Her work demonstrates originality, technical depth, and clinical applicability, which are core criteria for an Excellence in Research Award. Overall, Yuhe Cheng represents a high-potential researcher whose contributions already advance imaging science and patient safety, making her a credible and competitive candidate for recognition under the Research Excellence Award category.

Profile: ORCID

Featured Publications

  1. Cheng, Y., Ma, Z., Guo, S., Xu, C., Liu, D., & Zhang, Y. (2025). Impact of a deep learning reconstruction algorithm on image quality and dose reduction with ultra-high-resolution CT detectors: A phantom study. Zeitschrift für Medizinische Physik. Advance online publication.

  2. Cheng, Y. H., Ma, Z. X., Hu, L. J., Liu, D., & Zhang, Y. (2025). Comparative study of axial scanning and helical scanning in craniocerebral three-dimensional CT. CT Theory and Applications, 34(6), 1107–1113.

  3. Cheng, Y., Ma, Z., & Zhang, Y. (2024). Quantitative assessment of image quality improvement using deep learning–based reconstruction in ultra-high-resolution CT imaging. Journal of Medical Imaging Physics, 29(4), 215–222.

  4. Cheng, Y., Guo, S., & Liu, D. (2023). Optimization of radiation dose and spatial resolution in high-resolution computed tomography using advanced reconstruction techniques. Asian Journal of Radiological Sciences, 18(2), 89–96.

  5. Cheng, Y., & Ma, Z. (2022). Evaluation of noise reduction and lesion detectability in CT imaging with iterative and deep learning reconstruction methods. Journal of Diagnostic Imaging Science, 14(3), 142–149.

Ms. Yuhe Cheng’s research advances medical imaging science by integrating deep learning with ultra-high-resolution CT to measurably improve diagnostic accuracy while reducing radiation exposure. Her work contributes to safer, more precise clinical imaging practices and supports the global transition toward AI-driven, patient-centered healthcare innovation.

Paula Abola | Pharmacology | Editorial Board Member

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Mrs. Paula Abola | Pharmacology | Editorial Board Member

PhD Student and Professor | University of Jamestown | Germany

Paula Abola is an emerging clinical research scholar whose academic and scientific contributions reflect a strong interdisciplinary foundation in medicinal chemistry, drug development, and neurodegenerative disease research, particularly Parkinson’s disease. She is currently pursuing a PhD in Clinical Research at the University of Jamestown, building on her Master of Science in Clinical Drug Development from Queen Mary University of London and her Bachelor of Science in Medicinal Chemistry and Chemical Biology from Jacobs University Bremen. Her research portfolio demonstrates a growing specialization in movement disorders, with multiple peer-reviewed publications addressing both pharmacological and non-pharmacological management of Parkinson’s disease. Her work includes systematic reviews and meta-analyses evaluating key therapeutic agents such as liquid subcutaneous levodopa-carbidopa (ND0612), rasagiline, and safinamide, focusing on their effects on motor and non-motor symptoms as well as adverse event profiles. Additionally, she has explored innovative technological methodologies for detecting, quantifying, and reducing Parkinsonian tremor, highlighting her interest in rehabilitative and assistive approaches. Abola has also investigated sociodemographic influences on patient and clinician understanding of treatment pathways, contributing meaningful insights into healthcare accessibility, knowledge disparities, and patient-centered care. Her publication on intra-individual variations in voice parameters among individuals with and without Parkinson’s disease further expands her scope into speech-related biomarkers, emphasizing her multidimensional approach to disease assessment. Across her eight documented works, she collaborates frequently with researchers such as Kristin Lefebvre, Mitchell Wolden, and Benjamin Wolden, demonstrating strong engagement in team-based research environments. Overall, Paula Abola’s academic trajectory and scholarly output position her as a dedicated early-career researcher committed to advancing therapeutic strategies, improving diagnostic tools, and deepening understanding of patient experiences within the field of Parkinson’s disease clinical research.

Profile: ORCID

Featured Publications

  1. Abola, P., Lefebvre, K., & Wolden, M. (2025). Influence of sociodemographic variables on patient and practitioner knowledge of pharmacological management options for Parkinson’s disease. American Journal of Medical and Clinical Research & Reviews, 2025.

  2. Abola, P., Lefebvre, K. (2025). Technological advancements in the detection and quantification of Parkinsonian tremor. Topics in Geriatric Rehabilitation, July 2025.

  3. Abola, P., Wolden, M. (2025). Intra-individual variations in voice variables among individuals with and without Parkinson’s disease. Cureus, March 29, 2025.

  4. Abola, P., Wolden, M., & Lefebvre, K. (2024). Liquid subcutaneous levodopa-carbidopa ND0612 effects on motor symptoms in individuals with Parkinson’s disease: A systematic review and meta-analysis. Advances in Parkinson’s Disease, 2024.

  5. Abola, P., Wolden, M. (2024). Monoamine oxidase-B inhibitor rasagiline effects on motor and non-motor symptoms in individuals with Parkinson’s disease: A systematic review and meta-analysis. Advances in Parkinson’s Disease, 2024.

Paula Abola’s research advances the understanding and treatment of Parkinson’s disease by integrating clinical evidence, therapeutic evaluation, and emerging diagnostic technologies. Her work contributes to more precise, accessible, and patient-centered care, strengthening global efforts to improve quality of life for individuals with neurodegenerative disorders. She envisions a future where innovative clinical tools and evidence-based interventions enable earlier detection, optimized treatment, and equitable management of neurological conditions worldwide.

Lydia Badu Danquah | Business, Management and Accounting | Academic Leadership Research Award

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Ms. Lydia Badu Danquah | Business, Management and Accounting | Academic Leadership Research Award 

Student | Carolina University | United States

 Ms. Lydia Badu Danquah demonstrates strong suitability for an Academic Leadership Research Award based on her advanced academic training, research productivity, and leadership-driven professional background. As a current PhD candidate in Organizational Management at Carolina University, supported by two MBA degrees including an award-winning MBA in Finance from Central University and a BA in Political Science and Psychology, she brings a robust interdisciplinary foundation to her scholarly work. Her research focuses on high-impact, contemporary organizational issues such as the role of artificial intelligence in decision-making within SMEs, leadership adaptability in post-pandemic strategic agility and digital transformation, and ESG practices across emerging and developed markets, with each study published in reputable journals and contributing to discourse on innovation, governance, and sustainability. Lydia’s academic trajectory is complemented by administrative leadership experience at Carolina University, where she supported student performance assessment, retention initiatives, and program coordination, demonstrating her commitment to academic quality and institutional development. Prior roles in compliance, risk management, and customer experience within Ghana’s financial sector further strengthened her decision-making, analytical, and policy-driven competencies, enabling her to translate practical organizational insights into research relevance. Her ability to establish regulatory partnerships, execute compliance audits, and provide leadership consultation reflects a mature understanding of organizational systems and leadership dynamics. Additionally, her documented contribution to reducing financial losses for her company highlights her capacity for impactful problem-solving. With strong skills in communication, report writing, multitasking, leadership, and cyber-security awareness, she presents a well-rounded profile that aligns with the expectations of an academic leadership-focused award. Overall, Lydia’s blend of scholarly accomplishments, professional leadership experience, and ongoing contributions to research and academic service positions her as a compelling candidate for recognition in academic leadership.

Profile: Google Scholar

Featured Publications

Badu Danquah, L. (2024). The role of artificial intelligence in enhancing decision-making in Ghanaian small and medium enterprises (SMEs). Business and Management Horizons, 13(1), 44–56.

Badu Danquah, L. (2024). Assessing the influence of leadership adaptability in the post-pandemic era on strategic agility and digital transformation: The moderating role of technological readiness in Ghana. Business and Management Horizons, 13(1), 177–190.

Badu Danquah, L. (2024). Nexus between ESG practices and corporate performance: The moderating role of the regulatory environment in emerging and developed markets. Environmental Management and Sustainable Development, 15(1), 1–15.

 

Ms. Danquah’s research advances organizational leadership by addressing digital transformation, AI-driven decision-making, and sustainability practices in emerging economies, offering evidence-based insights that strengthen institutional resilience and innovation. Her work contributes to both academic scholarship and industry practice by guiding leaders toward more adaptive, ethical, and technologically ready organizations. Through her vision, she supports global efforts to build more agile, accountable, and future-focused institutions.

Sumaira Manzoor | Chemistry | Editorial Board Member

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Ms. Sumaira Manzoor | Chemistry | Editorial Board Member

Student | Institute of chemical sciences, Bahauddin zakariya university, Multan | Pakistan

Sumaira Manzoor is an accomplished researcher specializing in robotics, computer vision, and artificial intelligence, with a focus on developing advanced frameworks for autonomous systems and intelligent robots. Her work encompasses the design and deployment of edge-based vision models, human-following robots, and real-time inference systems, emphasizing efficiency and practical applicability in dynamic environments. She has made significant contributions to single and multi-object tracking, face mask recognition, semantic environment modeling, and robotic perception, leveraging both traditional machine vision and modern deep learning techniques. Manzoor has also explored ontology-based knowledge representation for cognitive robotic systems, providing comprehensive surveys and frameworks to enhance robot decision-making and interaction capabilities. Her research includes performance evaluations of cutting-edge detection models such as YOLOv3 and YOLOv4 in real-world applications, and she has developed innovative semantic SLAM and autonomous navigation frameworks aimed at high-level interaction and planning in complex environments. Throughout her career, she has published extensively in high-impact journals and presented her findings at leading international conferences, including Sensors, IEEE Access, Applied Sciences, and the International Conference on Control, Automation, and Systems (ICCAS). Her collaborative work with multidisciplinary teams has advanced the integration of AI-driven perception and reasoning in robotic systems, addressing practical challenges in mobile robotics and human-robot interaction. By bridging theoretical research and applied robotics, Manzoor’s contributions support the development of intelligent systems capable of autonomous decision-making, environment understanding, and adaptive interaction, positioning her as a leading figure in the field of AI-enabled robotics and computer vision. Her research not only advances technical knowledge but also has broad implications for real-world applications, including service robots, surveillance, healthcare, and autonomous navigation technologies.

Profile: ORCID

Featured Publications

  1. Manzoor, S., An, Y.-C., In, G.-G., Zhang, Y., Kim, S., & Kuc, T.-Y. (2023). SPT: Single pedestrian tracking framework with re-identification-based learning using the Siamese model. Sensors, 23(10), 4906. https://doi.org/10.3390/s23104906

  2. Manzoor, S., Kim, E.-J., Joo, S.-H., Bae, S.-H., In, G.-G., Joo, K.-J., Choi, J.-H., & Kuc, T.-Y. (2022). Edge deployment framework of GuardBot for optimized face mask recognition with real-time inference using deep learning. IEEE Access. https://doi.org/10.1109/ACCESS.2022.3190538

  3. Manzoor, S., Joo, S.-H., Rocha, Y. G., Bae, S.-H., Kim, E.-J., Joo, K.-J., & Kuc, T.-Y. (2021). Ontology-based knowledge representation in robotic systems: A survey oriented toward applications. Applied Sciences, 11(10), 4324. https://doi.org/10.3390/app11104324

  4. Manzoor, S., Joo, S.-H., Rocha, Y. G., Lee, H.-U., & Kuc, T.-Y. (2019). A novel semantic SLAM framework for humanlike high-level interaction and planning in global environment. CEUR Workshop Proceedings.

  5. Manzoor, S., Joo, S.-H., & Kuc, T.-Y. (2019). Comparison of object recognition approaches using traditional machine vision and modern deep learning techniques for mobile robot. International Conference on Control, Automation and Systems. https://doi.org/10.23919/ICCAS47443.2019.8971680

Sumaira Manzoor’s work advances intelligent robotics and AI-driven perception, enabling autonomous systems to interact safely and efficiently with complex environments. Her research bridges cutting-edge computer vision and real-world applications, driving innovation in robotics, healthcare, surveillance, and autonomous navigation while contributing to global technological progress.

Rawad Sweidan | Agricultural and Biological Sciences | Editorial Board Member

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Mr. Rawad Sweidan | Agricultural and Biological Sciences | Editorial Board Member

Researcher | National Agricultural Research Center | Jordan

Rawad Sweidan is a researcher at the Livestock Research Directorate, National Agricultural Research Center, with a focus on ruminant nutrition and livestock production, particularly in sheep and camel breeds. His work has garnered 57 citations to date, reflecting his growing influence in animal science and agricultural research, with an h-index of 4 and i10-index of 2. Sweidan’s research spans from applied animal husbandry practices to plant-based interventions in livestock health. Notably, he investigated the effects of castration on the growth performance and carcass characteristics of Awassi lambs fed high-concentrate diets, a study cited 32 times, which provides critical insights for optimizing meat production efficiency in small ruminants. More recently, he has explored the use of willow (Salix spp.) extracts as a natural means to inhibit coccidia sporulation in goats, reflecting his interest in sustainable and herbal approaches to animal health. His work on willow silage for fattening Awassi lambs further illustrates his commitment to integrating locally available plant resources into livestock feeding strategies. Sweidan has also contributed to understanding the genetic uniqueness of the Alia camel in Jordan, emphasizing the importance of conserving and utilizing indigenous breeds for food security. Beyond livestock nutrition, he has participated in broader regional projects, such as the Enhancing Food Security in Arab Countries initiative, evaluating the adoption and impacts of agricultural interventions across Egypt, Jordan, Morocco, Sudan, and Tunisia. Additionally, he has co-authored studies on herbal medicine as natural alternatives for avian coccidiosis control, highlighting his multidisciplinary approach bridging animal nutrition, health, and sustainable agricultural practices. Collectively, Sweidan’s work demonstrates a dedication to improving livestock productivity, promoting animal health through natural and cost-effective strategies, and supporting food security initiatives in the Arab region, making him a notable contributor to both practical and scientific advancements in ruminant nutrition and agricultural sustainability.

Profile: Google Scholar

Featured Publications

  1. Haddad, S. G., Husein, M. Q., Sweidan, R. W. (2006). Effects of castration on growth performance and carcass characteristics of Awassi lambs fed high concentrate diet. Small Ruminant Research, 65(1-2), 149-153.

  2. Muklada, H., Davidovich-Rikanati, R., Wilkerson, D. G., Klein, J. D., Sweidan, R., et al. (2020). Genotypic diversity in willow (Salix spp.) is associated with chemical and morphological polymorphism, suggesting human-assisted dissemination in the Eastern Mediterranean. Biochemical Systematics and Ecology, 91, 104081.

  3. Haj-Zaroubi, M., Mattar, N., Awabdeh, S., Sweidan, R., Markovics, A., Klein, J. D., et al. (2024). Willow (Salix acmophylla Boiss.) leaf and branch extracts inhibit in vitro sporulation of coccidia (Eimeria spp.) from goats. Agriculture, 14(5), 648.

  4. Awabdeh, S., Sweidan, R., Landau, S. Y. (2022). Growth performance and carcass characteristics of fattening Awassi lambs fed willow silage. Small Ruminant Research, 215, 106758.

  5. Sweidan, R. W., Hayajneh, F. M., Awabdeh, S. A., Al-Nsour, S. S. (2025). Herbal medicine: A natural alternative treatment of avian coccidiosis. International Journal of Agriculture and Biosciences, 14(5), 811-817.

Rawad Sweidan’s research advances sustainable livestock nutrition and animal health by integrating plant-based solutions and optimizing indigenous breeds, directly supporting food security and agricultural innovation in the Arab region. His work bridges science and practice, promoting eco-friendly strategies that benefit society, industry, and global livestock management.

Ahmed Habib | Economics | Editorial Board Member

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Prof. Dr. Ahmed Habib | Economics | Editorial Board Member 

Independent Researcher | Egypt

Ahmed Mohamed Habib is an accomplished researcher and academic specializing in accounting and finance, with a research portfolio spanning corporate governance, intellectual capital performance, corporate social responsibility (CSR), environmental, social, and governance (ESG) practices, working capital management (WCM), managerial ability, auditor report readability, corporate narrative reporting, corporate liquidity, cost of debt, corporate finance, earnings management, and corporate investment efficiency. His work emphasizes performance optimization, continuous improvement, business excellence, and frontier analysis through advanced methodologies such as Data Envelopment Analysis (DEA), Malmquist Productivity Index (MPI), knowledge management, and Decision Support Systems (DSS), integrating rigorous econometric analysis to generate practical insights for firms and financial institutions. Habib has contributed extensively to understanding how efficiency in working capital, corporate governance, and intellectual capital impacts firm performance and value, particularly during crises such as the COVID-19 pandemic and global economic disruptions like the Russia–Ukraine conflict. His publications analyze diverse contexts, including Romanian, Polish, US, Egyptian, and MENA-region firms, exploring the interplay between competitive strategies, ESG practices, financial distress mitigation, and organizational efficiency. Additionally, he investigates the effects of managerial ability and auditor report readability on corporate liquidity, cost of debt, and earnings management, applying DEA-MPI approaches to assess intellectual capital and working capital management efficiency. Habib’s research also extends to healthcare systems and sports organizations, evaluating operational and financial efficiency through innovative analytical frameworks. Based in the United Kingdom and Ukraine, he has maintained an independent research position in accounting and finance since 2006 at Zagazig, Sharqia, Egypt, contributing over 26 publications in high-impact journals and book chapters that bridge theoretical frameworks with empirical applications. His interdisciplinary work provides valuable insights into corporate strategy, sustainability, and efficiency, advancing knowledge in financial and organizational management, fostering business excellence, and informing policymakers, investors, and practitioners on optimizing firm performance under dynamic global conditions.

Profile: ORCID

Featured Publications

  1. Habib, A. M., Nuta, A. C., Neslihanoglu, S., Dalwai, T., & Rangu, C. M. (2025). Analyzing the market performance of Romanian firms: Do the COVID-19 crisis and classification type matter? International Journal of Emerging Markets. https://doi.org/10.1108/IJOEM-05-2023-0842

  2. Zimon, G., Habib, A. M., & Haluza, D. (2024). Does the quality management system affect working capital management efficiency? Evidence from Polish firms. Cogent Business & Management, 11(1), 1–21. https://doi.org/10.1080/23311975.2023.2292787

  3. Habib, A. M., & Mourad, N. (2024). Analyzing the efficiency of intellectual capital: A new approach based on DEA-MPI technology. Benchmarking: An International Journal, 31(9), 1–25. https://doi.org/10.1108/BIJ-06-2022-0384

  4. Habib, A. M., Yang, G., & Cui, Y. (2024). Do competitive strategies affect working capital management efficiency? Business Process Management Journal, 30(6), 1–28. https://doi.org/10.1108/BPMJ-12-2023-0953

  5. Habib, A. M., & Dalwai, T. (2024). Does the efficiency of a firm’s intellectual capital and working capital management affect its performance? Journal of the Knowledge Economy, 15(3), 1–24. https://doi.org/10.1007/s13132-023-01138-7

Ahmed Mohamed Habib’s research advances the understanding of corporate efficiency, governance, and sustainability, providing actionable insights that help firms optimize performance, mitigate financial risk, and enhance ESG outcomes. His work bridges theory and practice, driving innovation in finance, management, and organizational decision-making globally.

Douâae Ou-Yahia | Immunology and Microbiology | Editorial Board Member

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Dr. Douâae Ou-Yahia | Immunology and Microbiology | Editorial Board Member 

Chercheur associé | Sidi Mohamed Ben Abdellah University | Morocco

Douâae Ou-Yahia is a researcher whose work primarily focuses on the bioactive properties and pharmacological potential of plant-derived compounds, particularly essential oils and polyphenols from Moroccan flora. Her research encompasses the evaluation of antioxidant, antimicrobial, cytotoxic, and genotoxic effects of various plant extracts, with a strong emphasis on discovering novel therapeutic agents, especially against breast cancer. In 2023, she co-authored several notable studies, including investigations into Ptychotis verticillata essential oil, demonstrating its antioxidant activity and potential as a breast cancer therapeutic, and studies on Mentha piperita, exploring how irrigation water quality affects its chemical profile and secondary metabolites, with implications for pharmacological applications. She has also extensively studied carob (Ceratonia siliqua var. Rahma) leaves, analyzing their polyphenol content, antimicrobial activity, cytotoxicity against cancer cell lines, and genotoxicity, highlighting their multi-faceted potential as functional bioactive compounds. Her research combines both in vitro and in silico approaches, integrating analytical profiling, chemical characterization, and computational modeling to better understand plant bioactivity and optimize therapeutic applications. Beyond her laboratory work, Douâae Ou-Yahia contributes to advancing the scientific understanding of medicinal plants in Morocco, providing insights that may support the development of natural and effective treatments. Her publications, appearing in journals such as Life, International Journal of Plant Biology, Pharmaceuticals, and Antibiotics, reflect a commitment to rigorous experimental design and multidisciplinary collaboration with other experts in the fields of pharmacology, chemistry, and plant biology. Overall, her work bridges fundamental phytochemical research and applied biomedical science, offering promising avenues for natural product-based therapies and contributing to global efforts in exploring sustainable, plant-based solutions for healthcare challenges.

Profile: ORCID

Featured Publications

  1. Taibi, M., Elbouzidi, A., Ouahhoud, S., Loukili, E. H., Ou-Yahia, D., Ouahabi, S., Alqahtani, A. S., Noman, O. M., Addi, M., Bellaouchi, R., et al. (2023). Evaluation of antioxidant activity, cytotoxicity, and genotoxicity of Ptychotis verticillata essential oil: Towards novel breast cancer therapeutics. Life, 13(7), 1586.

  2. Haddou, M., Taibi, M., Elbouzidi, A., Loukili, E. H., Yahyaoui, M. I., Ou-Yahia, D., Mehane, L., Addi, M., Asehraou, A., Chaabane, K., et al. (2023). Investigating the impact of irrigation water quality on secondary metabolites and chemical profile of Mentha piperita essential oil: Analytical profiling, characterization, and potential pharmacological applications. International Journal of Plant Biology, 14(3), 49.

  3. Elbouzidi, A., Taibi, M., Ouassou, H., Ouahhoud, S., Ou-Yahia, D., Loukili, E. H., Aherkou, M., Mansouri, F., Bencheikh, N., Laaraj, S., et al. (2023). Exploring the multi-faceted potential of carob (Ceratonia siliqua var. Rahma) leaves from Morocco: A comprehensive analysis of polyphenols profile, antimicrobial activity, cytotoxicity against breast cancer cell lines, and genotoxicity. Pharmaceuticals, 16(6), 840.

  4. Taibi, M., Elbouzidi, A., Ou-Yahia, D., Dalli, M., Bellaouchi, R., Tikent, A., Roubi, M., Gseyra, N., Asehraou, A., Hano, C., et al. (2023). Assessment of the antioxidant and antimicrobial potential of Ptychotis verticillata Duby essential oil from Eastern Morocco: An in vitro and in silico analysis. Antibiotics, 12(4), 655.

  5. Elbouzidi, A., Taibi, M., Ou-Yahia, D., Loukili, E. H., & others. (2023). Exploring the multi-faceted potential of carob leaves from Morocco: A comprehensive analysis of polyphenols profile, antimicrobial activity, cytotoxicity against breast cancer cell lines, and genotoxicity. Preprint.

Douâae Ou-Yahia’s research advances the understanding of bioactive compounds from Moroccan plants, providing novel insights into natural antioxidants, antimicrobials, and cancer therapeutics. Her work bridges fundamental phytochemistry and applied biomedical science, contributing to healthcare innovation and sustainable, plant-based solutions with global impact.

Zouhair Lakbaibi | Chemistry | Editorial Board Member

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Prof. Dr. Zouhair Lakbaibi | Chemistry | Editorial Board Member 

Ful Professor | Laboratory of Molecular Chemistry Materials and Environment; Multidisciplinary Faculty of Nador; Mohamed First University | Morocco

Zouhair Lakbaibi is a distinguished Professor in the Chemistry Department at Mohamed First University, Multidisciplinary Faculty, Nador, Morocco, with a prolific research career focused on corrosion inhibition, green chemistry, and computational chemistry. He has contributed extensively to the understanding of the interactions between chemical compounds and metal surfaces, particularly in acidic environments, using both experimental and theoretical approaches. His work spans the study of hydrazine derivatives, perillaldehyde from essential oils, and other bioactive compounds as eco-friendly corrosion inhibitors for mild and carbon steel, combining electrochemical analyses, adsorption behavior studies, and quantum chemical modeling. In addition, Lakbaibi has investigated the degradation of synthetic dyes via Fenton reactions and studied the adsorption and removal of heavy metal ions, including cadmium and copper, employing both experimental designs and computational simulations such as Monte Carlo and factorial analysis. His research demonstrates a strong interdisciplinary focus, integrating chemistry, environmental science, and materials science, and has been published in reputable journals like Heliyon, Chemical Papers, ACS Omega, and the Journal of Failure Analysis and Prevention. His investigations also encompass tribological behaviors of metals in corrosive media, solvent effects in chemical reactions, and theoretical studies on reaction mechanisms and selectivity, including DFT and ELF approaches. Over the years, Lakbaibi has collaborated with numerous researchers across Morocco and internationally, emphasizing sustainable and environmentally friendly solutions in chemical processes. With 17 documented publications, his work highlights innovative approaches to corrosion prevention, adsorption technologies, and mechanistic studies of organic reactions, bridging theoretical and practical chemistry applications while contributing significantly to the scientific community through both experimental insights and computational modeling.

Profiles: ORCID | Scopus

Featured Publications

  1. Lakbaibi, Z., Damej, M., Molhi, A., Benmessaoud, M., Tighadouini, S., Jaafar, A., Benabbouha, T., Ansari, A., Driouich, A., & Tabyaoui, M. (2022). Evaluation of inhibitive corrosion potential of symmetrical hydrazine derivatives containing nitrophenyl moiety in 1M HCl for C38 steel: Experimental and theoretical studies. Heliyon, 8, e09087.

  2. Ansari, A., Lakbaibi, Z., Znini, M., & Manssouri, M. (2021). Evaluation of corrosion inhibition and adsorption behavior of 7-Isopropyl-4-methyl-4,5,6,7-tetrahydrobenzoisoxazole against carbon steel corrosion in 1 M HCl: Experimental and computational investigations. Analytical and Bioanalytical Chemistry Research, 8(3), 233677.

  3. Manssouri, M., Znini, M., Lakbaibi, Z., Ansari, A., & El Ouadi, Y. (2021). Experimental and computational studies of perillaldehyde isolated from Ammodaucus leucotrichus essential oil as a green corrosion inhibitor for mild steel in 1.0 M HCl. Chemical Papers, 75, 4145–4162.

  4. Jaafar, A., Ben El Ayouchia, H., Lakbaibi, Z., Regti, A., Jaafar, N., Boussaoud, A., Benallou, A., & Jodeh, S. (2021). Fenton degradation of binary synthetic dyes mixture: Experimental and DFT studies. Research Journal of Chemistry and Environment, 25, 1–12.

  5. Regti, A., Lakbaibi, Z., Ben Elayouchia, H., El Haddad, M., Laamari, M. R., Jaafar, A., Elazhary, I., & El Himri, M. (2021). Optimization and computational approach to understand the adsorption behavior of alizarine red s on the surface of fish scales. Biointerface Research in Applied Chemistry, 11(6), 14918–14934.

Zouhair Lakbaibi’s research advances sustainable chemistry by developing eco-friendly corrosion inhibitors and efficient heavy-metal remediation methods, bridging theoretical modeling and experimental studies. His work supports industry, environmental protection, and global innovation by offering practical solutions for metal preservation and pollution control.

Hasan Sayğılı | Materials Science | Editorial Board Member

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Dr. Hasan Sayğılı | Materials Science | Editorial Board Member 

Editorial Board Member | Batman University | Turkey

Hasan Sayğılı is a Turkish researcher specializing in the valorization of biomass and industrial waste into high-performance materials for environmental and electrochemical applications. His work focuses on the synthesis and functionalization of carbon-based adsorbents derived from agricultural residues such as lentil shells, hazelnut and pistachio shells, black tea waste, and citrus fruit by-products. Through advanced techniques including hydrothermal conversion, magnetic engineering, and microwave-assisted activation, Sayğılı has developed materials with exceptional adsorption capacities for heavy metals like Pb²⁺ and Cu²⁺, as well as for organic contaminants such as tetracycline and dyes. His research combines environmental remediation with energy storage applications, exemplified by his work on supercapacitor materials derived from biowaste, highlighting a commitment to sustainable and circular approaches in material science. Over the past several years, he has published extensively in high-impact journals including Talanta, Materials Chemistry and Physics, Separation Science and Technology, and various Turkish scientific journals, contributing significantly to the fields of adsorbent design, hydrochar production, and the evaluation of thermophysical properties of biowaste-derived aerogels. Beyond his publications, Sayğılı participates in peer review for journals focused on biomass conversion, chemical engineering, environmental management, and sustainable production, reflecting his recognized expertise in the scientific community. His research integrates fundamental studies of adsorption mechanisms and kinetics with practical applications for water treatment and energy storage, offering innovative solutions to environmental pollution and resource recovery challenges. By bridging material synthesis, environmental chemistry, and sustainable engineering, Hasan Sayğılı’s work provides impactful insights into the development of eco-friendly materials that address pressing global issues related to waste management, heavy metal contamination, and renewable energy technologies. His contributions demonstrate a consistent focus on transforming low-value residues into multifunctional materials, establishing him as a prominent figure in applied materials science and environmental engineering.

Profiles: ORCID | Scopus

Featured Publications

  1. Sayğılı, H., Akkaya Sayğılı, G., & Levent, A. (2025). Design of microwave-supported activated carbon derived from lentil processing residual for efficient heavy metals adsorption and supercapacitor applications. Talanta. https://doi.org/10.1016/j.talanta.2025.128068

  2. Akkaya Sayğılı, G., Sayğılı, H., & Levent, A. (2025). Lentil shell-based magnetically engineered activated carbon as a bidirectional hybrid material for environmental and electrochemical performances. Inorganic Chemistry Communications. https://doi.org/10.1016/j.inoche.2025.114872

  3. Akkaya Sayğılı, G., & Sayğılı, H. (2023). Co-conversion of industrial biowaste mixtures by hydrothermal method and application to Cu²⁺ adsorption. Muş Alparslan Üniversitesi Fen Bilimleri Dergisi. https://doi.org/10.18586/msufbd.1329561

  4. Sayğılı, H., & Akkaya Sayğılı, G. (2023). Use of novel hydrochar from co‑carbonization of hazelnut and pistachio shells for tetracycline removal from aqueous solution. Bayburt Üniversitesi Fen Bilimleri Dergisi. https://doi.org/10.55117/bufbd.1357853

  5. Işık, M. Z., Oktay, H., Kayır, M., & Sayğılı, H. (2023). Aerogel production and determination of its thermophysical and characteristic properties. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. https://doi.org/10.17798/bitlisfen.1348351

Hasan Sayğılı’s research transforms agricultural and industrial waste into advanced carbon-based materials, offering sustainable solutions for water purification, heavy metal remediation, and energy storage. His work bridges environmental science and material innovation, driving impactful advancements in sustainable technologies and circular economy applications.