Nuray Gamze Yoruk | Cell Structure Analysis | Best Researcher Award

Assoc. Prof. Dr. Nuray Gamze Yoruk | Cell Structure Analysis | Best Researcher Award

Assoc. Prof. Dr. Nuray Gamze Yoruk | Dokuz Eylül University | Turkey

Assoc. Prof. Dr. Nuray Gamze Yörük is a seasoned academic in the field of food hygiene, safety, and veterinary sciences. A graduate of Selçuk University, she currently serves at Dokuz Eylül University. With a strong background in veterinary public health, she has combined expertise in microbiology, food safety systems, halal accreditation, and laboratory quality standards. Her career is marked by a robust integration of teaching, research, and consultancy, particularly focusing on risk-based food microbiology and molecular techniques. Dr. Yörük is highly active in international academic networks and frequently contributes to scientific forums and symposiums. She has authored numerous peer-reviewed publications and consistently engages in professional development activities, including AI integration in education, biosafety, and ISO standard training. Her proactive involvement in quality assurance and accreditation processes, both nationally and internationally, underscores her leadership in elevating standards in food and veterinary sciences. She also holds multiple international researcher IDs, enhancing her academic visibility.

Publication Profile: 

Orcid

Education:

Assoc. Prof. Nuray Gamze Yörük began her academic journey in Veterinary Medicine at Selçuk University, where she earned her undergraduate degree from the Faculty of Veterinary Medicine. Driven by a keen interest in food safety and public health, she pursued a Doctorate in Food Hygiene and Technology at the same university. Her education emphasized microbiological food safety, molecular diagnostic tools, and public health risk assessment. Throughout her academic development, she has continuously built her expertise in ISO standards, laboratory accreditation, and food pathogens. In addition to formal degrees, Dr. Yörük has actively sought out high-level certifications and international training programs to deepen her knowledge in quality management systems, halal standards, and risk-based laboratory assessments. Her educational foundation is solidified with numerous certificates related to food safety, environmental monitoring, and advanced molecular analysis—making her an interdisciplinary expert who bridges veterinary sciences with applied food technology and quality systems.

Experience:

Dr. Nuray Gamze Yörük has over 20 years of academic and professional experience spanning food hygiene, microbiological risk analysis, and laboratory quality assurance. Currently an Associate Professor at Dokuz Eylül University, she has taught and supervised students across undergraduate and postgraduate levels, contributing significantly to education in veterinary and food sciences. Her experience also includes consulting for Turkish Accreditation Agency (TÜRKAK), Helal Accreditation Agency (HAK), and involvement in ISO 17025, 17043, and 17034 standard training and audits. She has participated in numerous national and international conferences, sharing insights on food safety, microbial risk control, and environmental monitoring. A regular attendee of technical workshops and accreditation seminars, she is also involved in quality enhancement projects. Her work on molecular food analysis and biosafety has led to meaningful improvements in diagnostic capabilities in food laboratories. With her deep knowledge and leadership in food technology, she contributes both academically and professionally to industry standards.

Awards and Honors:

Assoc. Prof. Dr. Nuray Gamze Yörük’s dedication to quality assurance, food safety, and academic excellence has earned her recognition from prestigious institutions. Though formal awards are not explicitly listed in the provided data, her career is marked by notable invitations to speak, lead trainings, and participate as an expert auditor in both national and international forums, such as TÜRKAK, HELAL Accreditation, and BfR-Summer Academy in Germany. Her expertise has led to repeated involvement in high-profile accreditation and standardization projects, serving as a trusted professional in food and microbiology laboratories. She has been part of elite training events, including courses by the German Federal Institute for Risk Assessment, and has contributed to critical initiatives like the DECBLAUM Food Safety Symposium and YÖKAK Accreditation Programs. Her active engagement in continuous professional development, coupled with internationally cited publications, positions her as a top contender for awards in food hygiene and scientific research excellence.

Research Focus:

Dr. Nuray Gamze Yörük’s research is primarily focused on food safety, microbial risk assessment, and molecular diagnostics in the food industry. Her work bridges veterinary public health with innovative food technology, including analysis techniques such as real-time PCR, RT-PCR, and high-resolution mass spectrometry (ORBITRAP). She is particularly interested in the identification of foodborne pathogens, species authenticity, and risk-based microbiological control in dairy and meat products. Her research extends into halal food verification, foodborne infections, and biological activities of natural additives such as Aloe vera. With multiple peer-reviewed articles published in top-tier journals, she also explores the comparative efficacy of diagnostic methods and contributes to improving analytical accuracy and environmental monitoring protocols. Through a quality-driven approach, she aims to enhance food control systems and public health outcomes by supporting laboratory competence and global food safety standards. Her multidisciplinary focus makes her a valuable contributor to food science innovation.

Publications Top Notes: 

  1. A comparison of bovine and porcine species in foods containing animal gelatin with RT-PCR and Q-Exactive ORBITRAP device – European Food Research and Technology

  2. Analysis of biological activities of Aloe vera gel and extract used as the potential use in natural food additives – Revista Científica de la Facultad de Ciencias Veterinarias

  3. GC/MS evaluation of the composition of the Aloe vera gel and extract – FOOD CHEMISTRY:X

  4. A comparison of ELISA and real-time PCR kits for meat species identification analysis – European Food Research and Technology

  5. Kantitatif mikrobiyolojik analizlerde ölçüm belirsizliği hesaplanmasında farklı yaklaşımların karşılaştırılması – Gıda

  6. Gıda ve yem mikrobiyoloji laboratuvarlarında seçilmiş riskler ile risk kaynaklarına ilişkin kontrol mekanizmaları – Etlik Veteriner Mikrobiyoloji Dergisi

  7. Determination of the presence of Cronobacter sakazakii, Listeria monocytogenes, Salmonella spp. and Enterobactericeae count in ice creams and infant formulas – Advanced in Food Sciences

  8. Most probable number technique in Escherichia coli count using ISO 16649-3, ISO 7251, and rapid test enumeration device (TEMPO EC) methods in milk and dairy products – Journal of Food Safety

  9. Control of fermented sausage, salami, sausage, and hamburger meatballs produced in meat production facilities applying the ISO Food Security System for food pathogens – Turkish Journal of Veterinary and Animal Sciences

Conclusion:

In conclusion, Assoc. Prof. Nuray Gamze Yörük represents an ideal candidate for the Best Researcher Award. Her deep specialization in food microbiology, her long-standing commitment to quality management and accreditation, and her consistent record of publications and trainings exemplify a career dedicated to scientific excellence and impact. She stands out not only for what she has accomplished but also for the sustained relevance and societal value of her work, making her a strong contender for this prestigious recognition.

M. A. El-Shorbagy | Cell Structure Analysis | Best Researcher Award

Prof. M. A. El-Shorbagy | Cell Structure Analysis | Best Researcher Award

Prof. M. A. El-Shorbagy, Prince Sattam Bin Abdulaziz University, Saudi Arabia

Prof. Mohammed Abd El-Rahman El-Shorbagy Hassan is a distinguished academic specializing in engineering mathematics and optimization. Born in Egypt on March 4, 1982, he currently serves as a Professor in the Department of Mathematics at the College of Science and Humanities Studies, Prince Sattam Bin Abdulaziz University, Saudi Arabia. With a career spanning over a decade in higher education and applied research, Prof. El-Shorbagy has contributed significantly to the fields of numerical optimization, artificial intelligence, and multiobjective programming. He is widely published and recognized for his scholarly books and high-impact journal articles. His work integrates mathematical rigor with real-world engineering applications. In addition to teaching and mentoring, he actively participates in international conferences and collaborative research projects. Known for his hybrid approaches combining swarm intelligence with classical methods, Prof. El-Shorbagy stands as a prominent figure in optimization and computational engineering.

Publication Profile: 

Google Scholar

✅ Strengths for the Award:

  1. Extensive Research Output:
    Prof. El-Shorbagy has a substantial publication record that includes books, high-impact journal articles, and international conference proceedings. His research appears in prestigious outlets such as Scientific Reports, Renewable Energy, and Materials, with multiple papers exceeding 100 citations.

  2. Strong Interdisciplinary Focus:
    His work bridges mathematics, artificial intelligence, and engineering, showcasing versatility. He effectively combines theoretical frameworks (e.g., optimization theory) with practical applications in power systems, materials science, and fluid dynamics.

  3. Innovative Methodologies:
    Known for hybridizing Particle Swarm Optimization, Genetic Algorithms, and Trust Region methods, he has demonstrated an innovative approach to solving complex, real-world optimization problems.

  4. Global Academic Impact:
    His presence in international conferences across Egypt, France, and Saudi Arabia highlights his global engagement. His work on swarm intelligence and nanofluid modeling reflects both theoretical significance and technological relevance.

  5. Authorship of Academic Books:
    Author of three technical books with Lambert Academic Publishing, which extend his research to a broader academic audience, enhancing educational and professional value.

⚠️ Areas for Improvement:

  1. Greater Industry Collaboration:
    While his academic output is exceptional, engaging in more industry-linked projects (e.g., smart grids, AI in civil infrastructure) could boost the applied relevance of his work.

  2. Editorial and Review Roles:
    Taking on editorial positions in leading journals or acting as a regular peer reviewer could enhance his visibility and influence in the academic publishing landscape.

  3. Funding and Grants:
    Participation in or leadership of internationally funded research programs (such as Horizon Europe or NSF collaborations) would strengthen his research infrastructure and international profile.

🎓 Education:

Prof. El-Shorbagy earned his Ph.D. in Engineering Mathematics from the Department of Basic Engineering Science, Faculty of Engineering, Menoufia University, Egypt, in July 2013. His doctoral thesis, “A Study of Some Numerical Optimization Methods to Solve Multiobjective Mathematical Programming Problems”, focused on advanced optimization algorithms. Prior to this, he completed his M.Sc. in February 2010 at the same institution, where he presented a thesis titled “Hybrid Particle Swarm Optimization Algorithm for Multiobjective Optimization”. Both degrees reflect his specialization and depth in engineering mathematics with emphasis on numerical methods and artificial intelligence. Throughout his academic formation, he was mentored by prominent researchers in the fields of computational mathematics and optimization. His educational background has laid a solid foundation for his subsequent contributions to academia, allowing him to merge theoretical principles with cutting-edge applications in engineering and data-driven modeling.

🧑‍🏫 Experience:

Prof. El-Shorbagy has amassed over 15 years of academic and research experience. He currently holds the position of Professor in the Department of Mathematics, College of Science and Humanities Studies, at Prince Sattam Bin Abdulaziz University in Saudi Arabia. His career began in Egypt, where he contributed to both teaching and research at Menoufia University. Over the years, he has developed and delivered undergraduate and postgraduate courses in mathematics, optimization techniques, numerical methods, and computational intelligence. In parallel, he has maintained an active research agenda, collaborating with global institutions and publishing extensively in top-tier journals. He is well-versed in supervising theses and projects related to AI-based optimization methods and engineering simulations. Prof. El-Shorbagy is also a frequent speaker at international conferences and has been part of organizing committees, reviewer boards, and technical panels—proving his leadership in academic and scientific communities.

🔬 Research Focus:

Prof. El-Shorbagy’s research revolves around optimization theory and its practical application to engineering and mathematical models. His primary focus is on developing and enhancing numerical methods for solving multiobjective optimization problems using artificial intelligence. Key techniques in his portfolio include Particle Swarm Optimization (PSO), Genetic Algorithms (GA), Trust-Region Methods, and hybrid models that integrate local search strategies. Recently, he has extended his expertise to smart materials, nanofluids, energy optimization, and AI-driven modeling in civil and mechanical engineering systems. His interdisciplinary approach bridges theory and practice, using computational models to solve complex real-world problems such as wind turbine placement, reactive power compensation, and fluid dynamics. Prof. El-Shorbagy’s research is not only high in theoretical impact but also has broad industrial and environmental relevance, making him a valuable contributor to applied sciences and engineering optimization domains.

📰 Publications Top Notes:

  • 🧬 Integrating PSO with GA for Solving Nonlinear Optimization Problems, JCAM, 2011

  • 🐝 Local Search-Based Hybrid PSO for Multiobjective Optimization, Swarm & Evolutionary Computation, 2012

  • 💧 Darcy Ternary-Hybrid Nanofluid Flow with Induction Effects, Micromachines, 2022

  • ⚗️ Green Synthesis of ZnO–CuO Nanoparticles and Cytotoxicity, Scientific Reports, 2021

  • 🧱 Glass Fiber-Reinforced Concrete: Mechanical and Microstructure Analysis, Materials, 2022

  • 🌬️ Optimization of Wind Turbines Siting Using GA-Based Local Search, Renewable Energy, 2018

  • 🔥 Hybrid Nanofluid Flow with Hall Current and Chemical Reaction, Alexandria Eng. Journal, 2022

  • 🌴 Coconut Fiber Reinforced Concrete: State-of-the-Art Review, Materials, 2022

  • MHD Stagnation Point Flow with Joule Heating and Convective Effects, Case Studies in Thermal Eng., 2021

  • ♻️ Concrete with Waste Glass and Recycled Aggregate Substitution, Materials, 2022

🧾 Conclusion:

Prof. Mohammed Abd El-Rahman El-Shorbagy Hassan is a highly suitable candidate for the Best Researcher Award. His consistent and high-quality contributions to engineering mathematics and optimization, impactful publication record, and innovative research approaches mark him as a leading scholar in his domain. By expanding his engagement with industry and international grant opportunities, he could further elevate his already outstanding academic profile. He exemplifies the blend of research excellence, innovation, and practical relevance that such an award seeks to recognize.