Filipe Liberato Justino Diniz | Nanotechnology | Best Research Article Award

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Dr. Filipe Liberato Justino Diniz | Nanotechnology | Best Research Article Award

Postdoctoral fellow at  Unicamp | Brazil

Dr. Filipe Liberato Justino Diniz is a Brazilian researcher specializing in energy systems, renewable technologies, and advanced materials for industrial applications. He is currently pursuing postdoctoral research at Campinas State University, focusing on multiphase vertical flow for the oil and gas sector in Brazil. With an academic foundation spanning mechatronics engineering, automotive engineering, energy technology, and nuclear and energy systems, Dr. Diniz has cultivated an interdisciplinary profile that bridges engineering science and applied research. His doctoral work at the Federal University of Pernambuco explored flexible sensors for corrosive contaminants in natural gas using graphene-metal oxide nanocomposites, showcasing his expertise in nanomaterials and energy innovation. Alongside his academic achievements, he has served as a professor at the University of Pernambuco and contributed to the automotive industry through his role at Fiat Chrysler Automobiles. Fluent in Portuguese, English, and Italian, Dr. Diniz embodies a global research outlook and a commitment to sustainable engineering solutions.

Professional Profile

ORCID Profile | Google Scholar

Education 

Dr. Filipe Liberato Justino Diniz educational journey reflects a strong foundation in engineering and energy systems. He earned his Ph.D. in Nuclear and Energy Technology from the Federal University of Pernambuco , where his thesis centered on graphene and metal oxide nanocomposites for flexible sensors targeting natural gas contaminants. Prior to this, he completed a Master of Professional Engineering in Energy Technology  at the University of Pernambuco, specializing in energy planning and exergy analysis of photovoltaic/thermal hybrid systems enhanced with nanofluids. He also holds a Master of Science in Automotive Engineering from Politecnico di Torino, Italy , where his thesis investigated austempered cast iron’s mechanical properties for automotive applications. His Bachelor’s degree in Mechatronics Engineering from the University of Pernambuco  provided a strong multidisciplinary base. Additionally, he completed a Technical Course in Electromechanics at SENAI . This diverse academic path highlights his integration of mechanical, energy, and materials engineering expertise.

Experience 

Dr. Filipe Liberato Justino Diniz has developed an international and multidisciplinary professional trajectory. He is currently a Postdoctoral Researcher at Campinas State University , where he works on multiphase vertical flow research for oil and gas applications. Previously, he served as an Adjunct Professor at the University of Pernambuco  and as a Visiting Professor , teaching core engineering subjects such as calculus, algebraic geometry, physics, and statics mechanics. In industry, he worked with Fiat Chrysler Automobiles as a Body Shop Product and Process Specialist, overseeing dimensional process control, tolerance verification, and defect analysis in automotive production systems. He also gained international research experience at Magneti Marelli in Turin, Italy , where his MSc thesis focused on the structural characterization of austempered cast iron. This blend of academic teaching, industrial process expertise, and applied research positions Dr. Diniz as a professional capable of bridging academia and industry in engineering innovation.

Research Interest

Dr. Filipe Liberato Justino Diniz  research interests span renewable energy systems, nanomaterials, and multiphase flow in oil and gas engineering. His doctoral research on graphene-metal oxide nanocomposites for flexible sensors highlights his commitment to addressing challenges in natural gas monitoring and environmental sustainability. He is deeply engaged in energy conversion technologies, photovoltaic/thermal hybrid systems, and exergy optimization, contributing to innovations in cleaner energy production. His experience with austempered cast iron reflects a strong interest in advanced materials engineering for the automotive sector, while his current postdoctoral research in multiphase vertical flow emphasizes fluid dynamics and its applications in the oil and gas industry. Dr. Diniz also focuses on smart sensing technologies, corrosion monitoring, and renewable integration strategies, bridging theoretical development with industrial applications. His interdisciplinary approach unites mechanical, energy, and materials engineering to design sustainable, efficient, and high-performance systems that align with global transitions toward clean energy and advanced manufacturing.

Award and Honor

Dr. Filipe Liberato Justino Diniz academic and professional journey has been marked by recognition in both academia and industry. His doctoral research at the Federal University of Pernambuco was supported by competitive scholarships, reflecting the significance of his work in renewable energy and nanocomposite sensors. His international training at Politecnico di Torino was further acknowledged through successful completion of his MSc thesis in collaboration with Magneti Marelli, Italy, which received academic commendation for its contribution to automotive materials. As an Adjunct Professor at the University of Pernambuco, he was recognized for his dedication to teaching and mentoring engineering students in foundational courses. His industrial role at Fiat Chrysler Automobiles highlighted his ability to integrate academic expertise into real-world process innovation. Additionally, his multilingual and interdisciplinary capabilities have strengthened his international profile, enabling collaborations across Brazil, Italy, and beyond. Collectively, these milestones underscore his excellence in research, teaching, and applied engineering innovation.

Research Skill

Dr. Filipe Liberato Justino Diniz brings a comprehensive set of research skills that reflect both technical expertise and interdisciplinary versatility. He is proficient in data analysis, simulation, and computational modeling, with advanced command of tools such as MATLAB/Simulink, Python, R, and multiple programming languages (Java, C, C++, C#). His skills in nanomaterials synthesis and characterization support his work on graphene-metal oxide composites, while his background in fluid mechanics and multiphase flow underpins his postdoctoral research in oil and gas systems. He has strong expertise in energy system modeling, exergy analysis, and renewable energy planning, particularly in photovoltaic/thermal hybrid systems with nanofluids. His industrial experience developed his strengths in dimensional process control, tolerance verification, and defect analysis in automotive production. Additionally, Dr. Diniz is experienced in scientific writing, peer review, and interdisciplinary collaboration, positioning him as a skilled researcher who effectively integrates experimental, computational, and applied engineering methodologies.

Publication Top Notes

Title: Parametric analysis of energy and exergy efficiencies of a hybrid PV/T system containing metallic nanofluids
Authors: F. L. J. Diniz; C. V. P. Vital; L. A. Gomez-Malagon
Journal: Renewable Energy
Year: 2022
Cited by: 53

Title: Graphene-based flexible and eco-friendly wearable electronics and humidity sensors
Authors: F. L. J. Diniz; T. Lima; E. S. Araujo; P. L. B. Araujo
Journal: Materials Research
Year: 2024
Cited by: 3

Title: Eficiência de um coletor solar de absorção direta utilizando nanofluido de prata
Authors: C. V. P. Vital; I. B. Soares; F. L. J. Diniz; L. A. G. Malagón
Journal: Anais Congresso Brasileiro de Energia Solar (CBENS)
Year: 2018
Cited by: 2

Title: Flexible Gas Sensors Based on Hierarchical Graphene-Copper Oxide Nanocomposites for Environmental Monitoring in High-Risk Industries
Authors: F. L. J. Diniz; T. B. S. de Lima; K. M. de Oliveira; E. S. de Araújo; P. L. B. de Araújo
Journal: Journal of Materials Engineering and Performance
Year: 2025

Title: Sensores flexíveis de contaminantes potencialmente corrosivos do gás natural baseados em nanocompósitos hierárquicos de grafeno e óxidos metálicos
Authors: F. L. J. Diniz
Journal: –
Year: 2024

Title: Gamma irradiation effect on properties of modified graphene doped PVA nanocomposite films
Authors: T. Lima; F. Diniz; E. Araújo; P. Araújo
Journal: Polímeros
Year: 2024

Title: Método para proteger resinas à base de água contra danos da radiação ultravioleta e acumulação de eletricidade estática
Authors: P. L. B. de Araújo; E. S. de Araújo; T. B. S. de Lima; F. L. J. Diniz
Journal: BR Patent
Year: 2022

Title: Balanço energético e exergético de sistemas híbridos PVT contendo nanofluidos
Authors: F. L. J. Diniz; C. V. P. Vital; I. B. Soares; L. A. G. Malagón
Journal: Anais Congresso Brasileiro de Energia Solar (CBENS)
Year: 2018

Conclusion

Dr. Filipe Liberato Justino Diniz has built a solid academic and professional trajectory across Brazil and Europe, with expertise spanning renewable energy systems, nanomaterials, flexible sensors, and automotive engineering. His postdoctoral research at Campinas State University focuses on multiphase vertical flow for oil and gas applications, continuing a strong research line developed during his Ph.D. at the Federal University of Pernambuco, where he investigated graphene-based nanocomposites for corrosive gas detection.

Yu Cheng Wang | Engineering | Best Research Article Award

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Assoc. Prof. Dr. Yu Cheng Wang | Engineering | Best Research Article Award

Aeronautical Engineering Of Chair at Chaoyang University of Technology | Taiwan

Prof. Dr. Yu Cheng Wang  is a distinguished academic and researcher, currently serving as Associate Professor and Chair of the Department of Aeronautical Engineering at Chaoyang University of Technology, Taiwan. He holds a Ph.D. in Industrial Engineering from Feng Chia University and has built a reputation for advancing research at the intersection of aeronautical systems, intelligent manufacturing, and explainable artificial intelligence. With more than publications in SCI and Scopus-indexed journals, his contributions have made significant impact in manufacturing optimization and decision-support systems. He has an h-index of  with over citations, reflecting the scholarly influence of his work. Prof. Wang also collaborates extensively with colleagues across Taiwan and internationally, bridging academic research and industry practice. His work on Industry 4.0 applications in semiconductor manufacturing showcases his commitment to developing transparent and human-centered AI systems that directly address real-world industrial challenges.

Professional Profile

ORCID Profile | Scopus Profile

Education 

Prof. Dr. Yu Cheng Wang pursued his academic journey with a focus on engineering, systems, and innovation. He earned his Ph.D. in Industrial Engineering from Feng Chia University, Taiwan, where his doctoral research laid the foundation for his expertise in intelligent systems and complex manufacturing processes. His educational background reflects a strong balance between theoretical modeling and applied problem-solving. Dr. Wang’s training emphasized operations research, production systems, and the integration of artificial intelligence into industrial applications, which later expanded into explainable AI frameworks for decision support. His solid grounding in industrial engineering principles has allowed him to extend his research into aeronautical systems and semiconductor manufacturing. With this interdisciplinary academic foundation, he has successfully bridged domains such as fuzzy theory, optimization, and smart manufacturing, enabling him to pursue pioneering research in Industry 4.0. His educational journey demonstrates a commitment to combining engineering rigor with innovative technological applications.

Experience 

Prof. Dr. Yu-Cheng Wang has extensive academic and professional experience that combines leadership, research, and industry collaboration. As Department Chair and Associate Professor at Chaoyang University of Technology, he oversees curriculum development, research strategy, and faculty mentorship in aeronautical engineering. His leadership extends to managing cross-disciplinary projects that integrate aeronautical engineering with intelligent manufacturing and artificial intelligence applications. He has spearheaded major research initiatives, including the Industry 4.0 XAI project for wafer-fab output forecasting, a groundbreaking effort that combines machine learning with interpretability for industrial decision-making. His experience also spans consultancy projects that provide practical solutions for semiconductor manufacturing, aligning academic research with industry needs. Prof. Wang’s editorial contributions over appointments demonstrate his recognition as a peer reviewer and thought leader in his field. Through collaborations with colleagues such as Tin-Chih Toly Chen and Chi-Wei Lin, he has broadened his international research presence and strengthened academia-industry knowledge exchange.

Research Interest

Prof. Dr. Yu-Cheng Wang’s research interests lie at the intersection of aeronautical engineering, smart manufacturing, and artificial intelligence. His primary focus is on explainable AI (XAI), where he develops models that not only achieve predictive accuracy but also provide transparency and interpretability for industrial decision-makers. He applies these methods to semiconductor manufacturing, Industry 4.0 environments, and production planning, ensuring that complex systems are optimized while remaining human-understandable. His work extends to fuzzy theory and decision analytics, particularly in contexts where uncertainty and complexity are critical, such as aerospace systems and large-scale industrial operations. Beyond manufacturing, Dr. Wang also explores applications of XAI in training and maintenance, including VR-based approaches for sustainable engineering education. By linking advanced computational models with practical engineering needs, his research contributes to both academic advancement and industry transformation, ensuring technological innovation supports efficiency, sustainability, and human factors integration.

Award and Honor

Prof. Dr. Yu-Cheng Wang has earned recognition for his scholarly contributions and leadership in the fields of aeronautical engineering and artificial intelligence. His publications in high-impact international journals such as The International Journal of Advanced Manufacturing Technology, Complex & Intelligent Systems, and Decision Analytics Journal highlight his academic influence and earned him strong citation metrics, with an h-index of 15 and more than citations. These achievements reflect his standing in the research community. His editorial appointments  across SCI and Scopus-indexed journals demonstrate the trust placed in him as a global reviewer and evaluator of cutting-edge research. He has also been actively involved in industry-driven projects, bridging academia and practical innovation, which further highlights his leadership. Recognition through research funding, collaborations, and invitations to contribute to international projects underscores his role as a thought leader. Collectively, these honors validate his impact as a forward-looking scientist and educator.

Research Skill

Prof. Dr. Yu Cheng Wang possesses a robust set of research skills that combine technical depth with interdisciplinary application. He is proficient in developing explainable AI frameworks, integrating advanced machine learning models with interpretability methods such as SHAP and rule-based surrogates to improve transparency in industrial decision systems. His expertise extends to fuzzy theory, production planning, and smart manufacturing analytics, making him adept at tackling complex and uncertain problems in both aeronautical and industrial domains. He has successfully applied these skills to semiconductor manufacturing, leading research on wafer-fab output forecasting that directly supports industry needs. In addition to computational modeling, Dr. Wang demonstrates strong skills in data analytics, simulation, and optimization, enabling him to bridge theory with real-world application. His experience with large-scale collaborations and consultancy projects further reflects his ability to integrate technical innovation with industry practices, positioning him as both a problem solver and research leader.

Publication Top Notes

Title: An explainable decision model for selecting facility locations in supply chain networks
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Yi-Chi Wang
Journal: Supply Chain Analytics
Year: 2025

Title: Enhancing the effectiveness of output projection in wafer fabrication using an Industry 4.0 and XAI approach
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Chi-Wei Lin
Journal: The International Journal of Advanced Manufacturing Technology
Year: 2024

Title: Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling
Authors: Yu-Cheng Wang; Toly Chen
Journal: Expert Systems with Applications
Year: 2024

Title: Evaluating innovative future robotic applications in manufacturing using a fuzzy collaborative intelligence approach
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang
Journal: The International Journal of Advanced Manufacturing Technology
Year: 2024

Title: A heterogeneous fuzzy collaborative intelligence approach: Air quality monitor selection study
Authors: Tin-Chih Toly Chen; Yu-Cheng Lin; Yu-Cheng Wang
Journal: Applied Soft Computing
Year: 2023

Title: Prediction of engine failure time using principal component analysis, categorical regression tree, and back propagation network
Authors: Yu-Cheng Wang
Journal: Journal of Ambient Intelligence and Humanized Computing
Year: 2023

Title: Improving people’s health by burning low-pollution coal to improve air quality for thermal power generation
Authors: Tin-Chih Toly Chen; Teng Chieh Chang; Yu-Cheng Wang
Journal: Digital Health
Year: 2023

Title: A selectively calibrated derivation technique and generalized fuzzy TOPSIS for semiconductor supply chain localization assessment
Authors: Toly Chen; Yu-Cheng Wang; Pin-Hsien Jiang
Journal: Decision Analytics Journal
Year: 2023

Title: New XAI tools for selecting suitable 3D printing facilities in ubiquitous manufacturing
Authors: Yu-Cheng Wang; Toly Chen
Journal: Complex & Intelligent Systems
Year: 2023

Title: A modified random forest incremental interpretation method for explaining artificial and deep neural networks in cycle time prediction
Authors: Toly Chen; Yu-Cheng Wang
Journal: Decision Analytics Journal
Year: 2023

Title: 3D Printer Selection for Aircraft Component Manufacturing Using a Nonlinear FGM and Dependency-Considered Fuzzy VIKOR Approach
Authors: Yu-Cheng Wang; Tin-Chih Toly Chen; Yu-Cheng Lin
Journal: Aerospace
Year: 2023

Title: An efficient approximating alpha-cut operations approach for deriving fuzzy priorities in fuzzy multi-criterion decision-making
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Min-Chi Chiu
Journal: Applied Soft Computing
Year: 2023

Title: A novel auto-weighting deep-learning fuzzy collaborative intelligence approach
Authors: Yu-Cheng Wang; Tin-Chih Toly Chen; Hsin-Chieh Wu
Journal: Decision Analytics Journal
Year: 2023

Title: An explainable deep-learning approach for job cycle time prediction
Authors: Yu-Cheng Wang; Toly Chen; Min-Chi Chiu
Journal: Decision Analytics Journal
Year: 2023

Conclusion

Dr. Yu-Cheng Wang has consistently demonstrated academic excellence and research innovation across aeronautical engineering, explainable AI, and smart manufacturing systems. In publications in leading SCI/Scopus-indexed journals, an h-index of , and more than  citations, his work bridges theory with impactful industrial applications, particularly in semiconductor manufacturing and Industry 4.0 transformations. His leadership as Department Chair, coupled with collaborations with renowned scholars, highlights his influence on both research and education. Recognized for advancing interpretable AI for real-world adoption, Dr. Wang’s contributions embody the spirit of innovation, making him a strong and deserving candidate for the Best Researcher Award.

Ezzat Marzouk | Agricultural and Biological Sciences | Best Research Article Award

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Prof. Dr. Ezzat Marzouk | Agricultural and Biological Sciences | Best Research Article Award

Senior Expert at Agricultural Research Department | Qatar

Prof. Dr. Ezzat Marzouk  is a distinguished Environmental Scientist and Soil Science expert with more than 25 years of international experience across Qatar, Egypt, the UK, and Australia. Currently serving as Senior Environmental Scientist at the Ministry of Municipality, Qatar, he leads agricultural research programs and manages national soil sustainability initiatives. He has played a pivotal role in establishing Qatar’s  million Central Laboratories for Agricultural Analysis, positioning the country at the forefront of soil and environmental research in the region. Prof. Marzouk has published  peer-reviewed articles in high-impact journals  and supervised over a dozen graduate students, demonstrating his commitment to advancing knowledge and mentoring the next generation of scientists. With expertise in soil remediation, nanotechnology applications, and environmental sustainability, he has also secured over million in competitive research funding. His leadership and innovation continue to shape sustainable agriculture and environmental policy in the Middle East.

Professional Profile

ORCID Profile | Scopus Profile | Google Scholar

Education 

Prof. Dr. Ezzat Marzouk holds a strong academic background in Environmental and Soil Sciences. He earned his Ph.D. in Environmental Science from the University of Nottingham, UK, supported by a prestigious Egyptian Government Scholarship. His dissertation, supervised by Prof. Scott D. Young, explored multi-element stable isotope dilution to quantify metal reactivity in soil, a novel approach in soil contamination studies. Earlier, he completed his M.Sc. in Soil Sciences  from Suez Canal University, Egypt, focusing on the impact of organic residues on phosphorus availability in North Sinai soils. His academic journey began with a B.Sc. in Environmental Agricultural Sciences from the same university, graduating with distinction. This academic trajectory reflects his deep expertise in environmental remediation, agricultural sustainability, and soil chemistry. Prof. Marzouk’s education laid the foundation for his multidisciplinary research, combining environmental science, agricultural innovation, and advanced analytical techniques for global environmental challenges.

Professional Experience 

Prof. Dr. Ezzat Marzouk  has held influential academic and research positions in Qatar, Egypt, and Australia. He has served as Senior Expert, Agricultural Research Department, Ministry of Municipality, Qatar, leading national soil sustainability programs and overseeing Qatar’s Central Laboratories for Agricultural Analysis .He was Head of the Soil and Water Sciences Department at Arish University, Egypt, where he enhanced research output by  and modernized the curriculum. Earlier, as Dean of the Institute of Environmental Studies, he guided students and 300 faculty during the COVID-19 digital transformation. His international exposure includes serving as a Research Associate at the University of South Australia  on an ARC-funded project examining contaminant-nanoparticle interactions. With extensive leadership roles, grant management, and cross-border collaborations, Prof. Marzouk has established himself as a global leader in environmental science, soil research, and agricultural sustainability.

Research Interest

Prof. Dr. Ezzat Marzouk  research focuses on environmental remediation, soil quality, and sustainable agriculture. His work emphasizes innovative solutions for soil contamination, particularly the application of nanotechnology and stable isotope analysis in soil science. He has pioneered research on metal speciation, contaminant reactivity, and nanoparticle interactions, which are critical for understanding soil health and environmental risks. Prof. Marzouk also explores the role of soil management strategies in enhancing agricultural sustainability and food security, with a strong focus on arid and semi-arid environments like Qatar. His current projects include developing innovative methods for mercury detection and remediation in arid soils and conducting a comprehensive soil health assessment across Qatar’s agricultural regions. His multidisciplinary approach bridges environmental chemistry, agricultural science, and climate adaptation, making his research highly relevant to global challenges such as soil degradation, food sustainability, and environmental pollution. His ultimate goal is to build sustainable systems that balance environment, agriculture, and development.

Award and Honor

Prof. Dr. Ezzat Marzouk  has earned significant recognition for his contributions to environmental and agricultural sciences. His competitive research funding stands as a testament to his leadership in advancing impactful research projects. He has been entrusted with major initiatives such as establishing Qatar’s Central Laboratories for Agricultural Analysis  and leading high-profile national projects on soil sustainability and remediation. His academic excellence has been further acknowledged through multiple international collaborations, fellowships, and invitations to contribute to global research forums. During his tenure as Dean and Department Head in Egypt, he was recognized for curriculum innovation, digital transformation during COVID-19, and international partnerships. At the University of South Australia, his research fellowship produced six high-impact publications, earning him global credibility. Collectively, his honors highlight his ability to secure large-scale research projects, publish influential studies, and mentor future leaders, making him an esteemed figure in environmental science.

Research Skill

Prof. Dr. Ezzat Marzouk possesses advanced research skills that span qualitative and quantitative environmental analysis. He is proficient in stable isotope techniques, metal speciation, and nanotechnology applications in soil and environmental systems. His expertise includes developing innovative methods for soil remediation, contaminant tracking, and agricultural sustainability assessments. Beyond laboratory expertise, Prof. Marzouk is highly skilled in research grant writing and project management, with a proven ability to secure and lead multi-million-dollar projects. He has successfully supervised  graduate students, equipping them with cutting-edge research methodologies. Additionally, his skills extend to establishing laboratories from the ground up, demonstrated by his leadership in building Qatar’s Central Agricultural Labs. He is also adept at scientific publishing, peer review, and presenting research findings at international platforms. His strong capacity to integrate technical innovation, leadership, and mentorship ensures that his research not only advances academic knowledge but also drives real-world environmental solutions.

Publication Top Notes

Title: Corrigendum to “Comparison of modern and 40-year-old drinking water pipeline in northern Sinai region, Egypt: characteristics and health risk assessment”
Authors: Amany D. Mekal; Mona M. El-Shazly; Mohamed Ragab; Ezzat R. Marzouk
Journal: Journal of Trace Elements and Minerals
Year: 2024

Title: Erratum to “Corrigendum to ‘Comparison of modern and 40-year-old drinking water pipeline in northern Sinai region, Egypt: characteristics and health risk assessment’”
Authors: Amany D. Mekal; Mona M. El-Shazly; Mohamed Ragab; Ezzat R. Marzouk
Journal: Journal of Trace Elements and Minerals
Year: 2024

Title: Assessment of Groundwater Quality for Drinking and Domestic Use: Implications for Water Safety in El-Arish City, North Sinai, Egypt
Authors: Mai Abdeen; Ezzat Marzouk; Mona El Shazly; Sally Ismail
Journal: Sinai Journal of Applied Sciences
Year: 2023

Title: Comparison of Modern and 40-Year-Old Drinking Water Pipeline in Northern Sinai Region, Egypt: Characteristics and Health Risk Assessment
Authors: Amany D. Mekal; Mona M. El-Shazly; Mohamed Ragab; Ezzat R. Marzouk
Journal: Journal of Trace Elements and Minerals
Year: 2023

Title: Soil and Plant Contamination by Potentially Toxic and Emerging Elements and the Associated Human Health Risk in Some Egyptian Environments
Authors: Waleed H. Shetaya; Elizabeth H. Bailey; Scott D. Young; Elham F. Mohamed; Vasileios Antoniadis; Jörg Rinklebe; Sabry M. Shaheen; Ezzat R. Marzouk
Journal: Environmental Geochemistry and Health
Year: 2023

Title: The toxicity and uptake of bulk and nano-sized ZnO particles in wheat (Triticum aestivum) seedlings
Authors: Fadya S. S. Keshta; Waleed H. H. Shetaya; Ezzat R. R. Marzouk
Journal: Journal of Plant Nutrition
Year: 2023

Title: Utilizing Tissue Culture Technique and ZnO Nanoparticle Stimulation to Propagate Asparagus aphyallus L. Plant
Authors: Ghada Gaballa; Sonia Shehata; Ezzat Marzouk
Journal: Sinai Journal of Applied Sciences
Year: 2023

Title: Assessing the Lability and Environmental Mobility of Organically Bound Copper by Stable Isotope Dilution
Authors: Ezzat R. Marzouk; Erica Donner; Frank von der Kammer; Elizabeth H. Bailey; Waleed H. Shetaya; Scott D. Young; Enzo Lombi
Journal: Environmental Science & Technology
Year: 2022

Title: Drinking Water Biological and Chemical Contaminants: A Case Study of Rural Areas of Northwest Sinai, Egypt
Authors: Hassan Swelam; Mona El Shazly; Ezzat Marzouk
Journal: Sinai Journal of Applied Sciences
Year: 2022

Title: Effect of Biochar Amendment on Spinach (Spinacia oleracea L.) Growth Under Salt Stress Conditions
Authors: Yasmin Hussein; Mostafa Hassan; Ezzat Marzouk; Sally Ismail
Journal: Sinai Journal of Applied Sciences
Year: 2022

Title: Toxicity and Uptake of CuO Nanoparticles: Evaluation of an Emerging Nanofertilizer on Wheat (Triticum aestivum L.) Plant
Authors: Amany S. Ibrahim; Gomaa A. M. Ali; Amro Hassanein; Ahmed M. Attia; Ezzat R. Marzouk
Journal: Sustainability
Year: 2022

Title: Olive Mill Waste-Based Anaerobic Digestion as a Source of Local Renewable Energy and Nutrients
Authors: Mohamed Aboelfetoh; Amro Hassanein; Mohamed Ragab; Mohamed El-kassas; Ezzat R. Marzouk
Journal: Sustainability
Year: 2022

Title: Assessments of Environmental Sensitivity to Desertification in Ber El-Abd Area, North Sinai, Egypt Using MEDALUS Model
Authors: Hend Abd El-Hameed; Ezzat Marzouk; Mohamed Abdo; Abdel-Aziz Abdelmontaleb
Journal: Sinai Journal of Applied Sciences
Year: 2020

Conclusion

Prof. Dr. Ezzat Marzouk  stands as a leading figure in environmental science and soil research, with a distinguished career spanning over 25 years across Qatar, Egypt, the UK, and Australia. His scholarly contributions, reflected in more than 50 peer-reviewed publications, advance knowledge in soil remediation, nanotechnology applications, stable isotope analysis, and sustainable agricultural practices. Beyond research, he has secured over  million in competitive funding, established state-of-the-art laboratories, and supervised the next generation of scientists. His pioneering work ranging from water quality assessment and nanoparticle toxicity to biochar applications and soil health monitoring has had a direct impact on food security, sustainability policies, and environmental risk management in the Middle East and beyond. Prof. Marzouk’s career exemplifies the integration of scientific innovation with practical solutions, ensuring that his research continues to shape environmental sustainability and agricultural resilience worldwide.