taghreed Ibrahim | Cell Structure Analysis | Best Researcher Award

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Ms. taghreed Ibrahim | Cell Structure Analysis | Best Researcher Award

Ms. taghreed Ibrahim , Mansoura University , Egypt

Taghreed Elsayed is an Assistant Lecturer in the field of Computer Science and Control Systems Engineering. She holds a Bachelor’s degree in Computers and Control Systems Engineering from Mansoura University, and has completed a Master’s degree in the same field with a focus on E-learning and Fog Computing. Taghreed is passionate about teaching and research, particularly in the areas of artificial intelligence, cybersecurity, and cloud computing. She has a deep understanding of systems programming, databases, and modern teaching software. Taghreed is also proficient in supervising both undergraduate and master’s students and has designed and implemented curricula for computer science courses. With diverse teaching experience, she has worked at Delta University for Science and Technology, Midocean University, and other academic institutions, providing online and face-to-face instruction in various programming languages and technologies. Her publications and research further showcase her expertise and dedication to the field.

Publication Profile:

Scopus

Strengths for the Award:

  1. Research Excellence: Taghreed Elsayed has demonstrated a strong track record of research, particularly in the fields of E-learning, AI, and healthcare. Her publication on the “Fog-Based Recommendation System for Promoting the Performance of E-Learning Environments” showcases her ability to innovate in educational technologies. Additionally, her work in deep learning techniques for accurate breast cancer diagnosis and predicting bladder cancer recurrence further highlights her multidisciplinary research expertise.

  2. Comprehensive Knowledge: Taghreed has extensive knowledge in critical domains such as artificial intelligence, cybersecurity, image processing, and cloud computing, all of which are highly relevant to current technological trends. This wide-ranging knowledge base contributes significantly to her ability to approach research from various angles.

  3. Industry and Teaching Experience: She has a strong combination of teaching experience and real-world application of computer science in both academia and industry. Her work as an assistant lecturer in various universities, as well as her extensive experience in networking, security, and programming, demonstrates her well-rounded expertise.

  4. Publications and Contributions: Taghreed’s research publications in prestigious journals underline her capacity to contribute valuable knowledge to the academic community. The citations and recognition of her work are a testament to her impact on the field.

Areas for Improvement:

  1. Broader Industry Collaborations: While Taghreed has made notable contributions in both academia and research, her collaboration with the industry could be further expanded. Developing partnerships with tech companies or health organizations could elevate her research impact, particularly in applied fields like healthcare.

  2. Interdisciplinary Research: Although her work bridges the gap between AI and E-learning, there is an opportunity for more interdisciplinary research, especially in the integration of AI with other domains like IoT, smart cities, and robotics. Exploring these intersections may lead to groundbreaking innovations.

  3. Mentorship and Research Leadership: While she supervises students, further mentoring of PhD candidates or leading large-scale research projects would help solidify her position as a leader in the research community.

Education:

Taghreed Elsayed completed her Bachelor’s degree in Computers and Control Systems Engineering at Mansoura University in 2010, with her graduation project on a Smart Elevator, receiving an excellent grade. Following that, she pursued a Pre-Master’s program in the same department in 2014, studying topics like cloud computing, cybersecurity, and artificial intelligence. Taghreed’s Master’s degree, completed in 2020, focused on enhancing E-learning environments using Fog-based Recommendation Systems (FBRS). She published research on this topic, demonstrating her commitment to advancing education technology. Between 2021-2022, Taghreed embarked on Pre-PhD studies, covering advanced topics in AI, cybersecurity, and deep learning, with a particular focus on using AI techniques to detect cancerous tumors. Her academic excellence is reflected in her A+ scores in various subjects, and her publications demonstrate her active contributions to the field.

Experience:

Taghreed Elsayed has extensive experience in teaching and research within the field of Computer Science. She served as an Assistant Lecturer at Delta University for Science and Technology, where she developed and taught computer science courses focused on AI, programming languages (C#, C++, Java, Python), databases, and more. She has also taught at Midocean University, focusing on online courses in information security, cybersecurity, and Internet of Things (IoT). Additionally, Taghreed worked as an instructor at Harvest Training Center, specializing in Cisco networking courses such as CCNA and CCNA Security, and at Elsewedy Technical Academy, where she taught the principles of networking. Her experience extends beyond academia to the industry, where she worked as an IT Engineer at Quick Air Company for Tourism and as a Technical Support Engineer at Exceed in Smart Village, managing and maintaining IT systems, troubleshooting network issues, and ensuring smooth operations.

Research Focus:

Taghreed Elsayed’s research interests lie primarily in the fields of E-learning, artificial intelligence, cybersecurity, and fog computing. Her work explores how emerging technologies can be used to enhance the performance of E-learning environments, focusing on personalized learning experiences through recommendation systems. In her Master’s research, she developed a Fog-based Recommendation System (FBRS) that significantly improves the performance and personalization of E-learning platforms. Her Pre-PhD research centers on applying AI techniques to medical diagnosis, specifically for detecting cancerous tumors using deep learning methods. Taghreed’s interdisciplinary approach bridges technology and education, striving to improve learning outcomes through innovative technological solutions. Her future research goals include advancing AI applications in healthcare and education and exploring new methods for optimizing cybersecurity protocols in the context of smart environments and IoT.

Publications Top Notes:

  • “A Fog-Based Recommendation System for Promoting the Performance of E-Learning Environments” 📘

  • “Accurate Breast Cancer Diagnosis Strategy (BCDS) Based on Deep Learning Techniques” 🩺

  • “CNN-LSTM for Prediction of Bladder Cancer Recurrence and Response to Treatments” 🏥

Conclusion:

Taghreed Elsayed is a deserving candidate for the Best Researcher Award due to her profound contributions to the fields of AI, cybersecurity, and E-learning. Her academic achievements, coupled with her extensive teaching experience and interdisciplinary research, make her a standout figure. By expanding her industry collaborations and fostering deeper interdisciplinary research, she could further solidify her impact and recognition as a leading researcher in her field.

 

 

 

qingwei lu | Cell Differentiation Processes | Innovative Research Award

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Mr. qingwei lu | Cell Differentiation Processes | Innovative Research Award

Mr. qingwei lu , Xinjiang Academy of Animal Sciences , China

Qingwei Lu is a student at the Xinjiang Academy of Animal Sciences, China, specializing in animal genetics, breeding, and reproduction. His research focuses on the genetic improvement of wool and meat sheep, specifically through quantitative genetics, population genetic analysis, and genomic selection for key traits. Qingwei also explores the molecular mechanisms behind hair follicle development in cashmere goats, applying transcriptomics and proteomics to understand hair follicle cycling and its relationship with production traits. His studies aim to provide scientific foundations for breeding and industrial development in the livestock sector. Qingwei is actively involved in national and international research collaborations and has published multiple academic papers in prominent journals. His work contributes significantly to the field of animal genetics and breeding, making him a promising researcher with a growing impact in the industry.

Publication Profile:

Orcid

Strengths for the Award:

Qingwei Lu’s work demonstrates remarkable innovation in the field of animal genetics, with a particular emphasis on sheep and cashmere goats. His integration of transcriptomics and proteomics techniques to study the genetic and molecular mechanisms of hair follicle development, especially in cashmere goats, is groundbreaking. The focus on secondary hair follicle cycling and the role of PLIN2 in regulating this cycle offers important insights for enhancing wool and meat production traits. Furthermore, his research is supported by substantial funding, such as the National Key R&D Program and the National Natural Science Foundation of China, underlining the relevance and impact of his work. His numerous published journal articles, including in high-impact journals, also reflect his contributions to advancing the scientific understanding of animal breeding and genetics.

Areas for Improvements:

While Qingwei Lu’s research is highly innovative and impactful, expanding his collaborative network further to include industry partners could enhance the translational aspect of his research. Additionally, more engagement with public-facing scientific communication and outreach could make his discoveries more accessible to a broader audience, including agricultural industries and farmers.

Education:

Qingwei Lu is currently pursuing advanced studies at the Xinjiang Academy of Animal Sciences in China. He holds a bachelor’s degree in animal science, followed by graduate studies focused on animal genetics and breeding. His academic journey is heavily centered on animal genetics, specifically in the context of wool and meat sheep, as well as the genetic improvement of cashmere goats. Qingwei’s research includes the application of quantitative genetics, genomic selection, and molecular techniques to unravel complex genetic traits in livestock. His education equips him with strong foundations in both the theoretical and practical aspects of animal breeding, enabling him to work effectively on high-impact national research projects. Qingwei’s academic achievements reflect his dedication to the scientific advancement of animal science, particularly in genetic evaluation and breeding program optimization.

Experience:

Qingwei Lu’s research experience spans multiple projects in the field of animal genetics and breeding. His primary research focuses on the genetic enhancement of sheep and goats, particularly wool and meat sheep, and cashmere goats, through innovative approaches in genomics and molecular biology. Qingwei’s work includes estimating genetic parameters, analyzing population genetic structures, and implementing genomic selection to improve economic traits in livestock. He is currently involved in key national research programs in China, including the National Key R&D Program (2021YFD1200902) and the National Natural Science Foundation of China Regional Science Fund (32360814). His collaborative research efforts have resulted in numerous journal publications. Qingwei also collaborates on industry-sponsored projects, contributing his expertise to practical breeding solutions for livestock farmers. His expertise in combining transcriptomics, proteomics, and genomic techniques is making a significant impact on livestock breeding and industrial development.

Research Focus:

Qingwei Lu’s research focus revolves around the genetic improvement of livestock, with particular emphasis on wool and meat sheep, and cashmere goats. His research involves the use of quantitative genetics to estimate genetic parameters, analyze population genetic structures, and implement genomic selection for important economic traits such as early growth and reproductive traits. Additionally, Qingwei studies the genetic and molecular mechanisms of hair follicle development in cashmere goats, aiming to uncover the regulatory pathways behind hair follicle cycling. His work integrates transcriptomics, proteomics, and genomic sequencing techniques to explore how these molecular processes influence the production of wool and cashmere. By understanding these molecular mechanisms, Qingwei seeks to develop breeding strategies that can enhance productivity and economic outcomes in the livestock industry. His work provides valuable insights for improving livestock breeding programs and contributes to the scientific foundation for the development of more sustainable and profitable animal farming.

Publications Top Notes:

  1. Screening of CircRNA Related to Secondary Hair Follicle Cycling in Southern Xinjiang Cashmere Goats
    🐐📚 Chinese Journal of Animal Husbandry and Veterinary Medicine, 2024 | DOI: 10.19556/j.0258-7033.20230117-04

  2. Effects of Non-genetic Factors on Early Growth Traits in Southern Xinjiang Cashmere Goats
    🐐📖 Chinese Journal of Animal Science, 2024 | DOI: 10.16431/j.cnki.1671-7236.2024.05.001

  3. Research on the Cyclical Patterns of Different Types of Hair Follicles in Southern Xinjiang Cashmere Goats
    🐐🔬 Chinese Journal of Animal Science, 2025 | DOI: 10.19556/j.0258-7033.20240422-10

  4. Comparison of Different Animal Models for Estimating Genetic Parameters for Early Growth Traits and Reproductive Traits in Tianmu Sainuo Sheep
    🐑📄 Frontiers in Veterinary Science, 2024 | DOI: 10.3389/fvets.2024

  5. Proteomics Reveals the Role of PLIN2 in Regulating the Secondary Hair Follicle Cycle in Cashmere Goats
    🧬🐐 International Journal of Molecular Sciences, 2025 | DOI: 10.3390/ijms26062710

Conclusion:

Qingwei Lu’s innovative approach to genetic improvement in sheep and goats, particularly his exploration of hair follicle regulation mechanisms and their relation to production traits, makes him an excellent candidate for the Innovative Research Award. His contributions to advancing genetic evaluation and breeding programs have the potential to greatly impact agricultural industries, aligning well with the goals of the award.

ASEM SANJIT SINGH | Developmental Cell Biology | Young Scientist Award

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Dr. ASEM SANJIT SINGH | Developmental Cell Biology | Young Scientist Award

Dr. ASEM SANJIT SINGH , INDIAN INSTITUTE OF SCIENCE, BANGALORE , India

r. Asem Sanjit Singh is a distinguished DBT-Post-Doctoral Research Associate at the Indian Institute of Science, Bangalore. He holds a Ph.D. in Post-Harvest Technology (Microbiology) from ICAR-CIFE and is currently exploring the gut microbiota and host interactions in his post-doctoral research. Dr. Singh has an extensive academic background, having received prestigious awards such as the Dr. C.V. Kulkarni Gold Medal for best M.F.Sc. research (2014-2015) and the Young Scientist Award (2025) from GRIAST. His work in microbiology, particularly in antibiotic resistance in seafood, has gained significant recognition in the scientific community. Dr. Singh has a proven track record of contributing valuable research, with multiple publications in top-tier journals.

Publication Profile: 

Google Scholar

Strengths for the Award:

  1. Educational Background & Expertise:

    • Dr. Asem Sanjit Singh has a solid educational foundation, with degrees in Fisheries Science and Post-Harvest Technology (Microbiology), from reputable institutions such as ICAR-CIFE and the Indian Institute of Science (IISc).
    • His ongoing postdoctoral research on gut microbiomes and host crosstalk, with a focus on the effects of antibiotics, aligns with contemporary concerns in microbiology and environmental health.

  2. Recognized Research Contributions:

    • Dr. Singh has an impressive track record of publications in high-impact journals, including J. Microbiology, Environmental Science & Pollution Research, and International Journal of Food Microbiology.
    • His research on multidrug-resistant bacteria in seafood and the characterization of virulent microorganisms from aquatic products has significantly advanced food safety and public health understanding.
    • His recent publications, such as on the impact of antibiotics on microbiomes and the potential toxicity of antibiotics in aquatic systems, reflect his cutting-edge research and interdisciplinary approach.

  3. Awards and Recognition:

    • The Dr. C.V. Kulkarni Gold Medal for Best M.F.Sc. Research (2014-2015) and his Young Scientist Award (2025) from GRIAST highlight his exceptional contributions to the field.
    • His ongoing DBT post-doctoral research fellowship and other prestigious awards underline the recognition he has received within the scientific community.

  4. Diverse Research Themes:

    • His research spans multiple relevant themes, including antimicrobial resistance (AMR), seafood safety, environmental health, and microbiome dynamics. These diverse topics are highly relevant to global health challenges, demonstrating his ability to tackle complex issues through multidisciplinary approaches.

  5. National and International Presentations:

    • Dr. Singh has presented his work at international seminars and conferences, further establishing his reputation as a promising young scientist. This shows his commitment to sharing knowledge and fostering collaboration with peers globally.

  6. Book Contributions & Popular Articles:

    • Dr. Singh has authored and co-authored several chapters and articles, further demonstrating his academic influence and his role as a thought leader in fisheries science and microbiology.

Areas for Improvement:

  1. Broader Public Engagement:

    • While his academic achievements are exemplary, Dr. Singh could benefit from engaging more directly with public education and outreach initiatives. This could help in translating his research findings into practical applications for society, particularly in food safety and public health.

  2. Collaborative Projects Across Disciplines:

    • As his research intersects several fields, further collaborations with public health, policy makers, and industries (like seafood and environmental conservation) could yield more real-world impacts. Developing such partnerships would help bridge the gap between academic findings and practical applications.

  3. Mentoring and Leadership:

    • Mentoring more students and young researchers could enhance his leadership profile. As he continues his post-doctoral work, taking on a larger mentoring role could cultivate the next generation of scientists in his area of expertise.

  4. Increased Focus on Translational Research:

    • Focusing more on translating his findings into actionable solutions for the seafood industry, such as developing methods for reducing antibiotic resistance or improving seafood safety standards, could increase the societal impact of his work.

Education:

Dr. Singh completed his schooling at CBSE, New Delhi, scoring well in both 10th (71.2%) and 12th (62.4%). He graduated with a B.F.Sc. in Fisheries Science from the College of Fisheries, CAU, Imphal (2012), securing an impressive 83.9%. He went on to pursue an M.F.Sc. in Post-Harvest Technology (Microbiology) at ICAR-CIFE, Mumbai, where he received the Dr. C.V. Kulkarni Gold Medal (2014) for his research excellence. His Ph.D. research focused on “Molecular mechanisms of antibiotic resistance-producing Escherichia coli associated with seafood,” achieving a first-class distinction with 86.2%. Dr. Singh is now a Post-Doctoral Research Associate at the Indian Institute of Science (IISc), Bangalore, where he is further enhancing his expertise in microbiology, focusing on gut microbes and host interactions.

Experience:

Dr. Singh’s research journey began with his B.F.Sc. and M.F.Sc., followed by a Ph.D. at ICAR-CIFE, where he focused on antibiotic resistance mechanisms in seafood. His doctoral thesis explored the molecular aspects of Escherichia coli’s resistance to antibiotics, contributing significantly to food safety and public health research. Since March 2021, he has been engaged in post-doctoral research at IISc, studying the trans-generational impact of antibiotic exposure using Drosophila melanogaster as a model organism. He has also held fellowships from ICAR and DBT, receiving the ICAR-Institute fellowship for both his postgraduate and doctoral studies. Dr. Singh has contributed to over 13 peer-reviewed publications, spanning diverse aspects of microbiology, including antibiotic resistance, gut microbiota, and environmental pressures. His professional experience and advanced research focus on solving critical issues related to food safety, microbiome interactions, and environmental sustainability in aquaculture.

Awards and Honors:

Dr. Asem Sanjit Singh has received several prestigious awards and honors for his exemplary contributions to microbiology and aquaculture research. In 2014, he was honored with the Dr. C.V. Kulkarni Gold Medal for best M.F.Sc. research. In 2015, his M.F.Sc. thesis was recognized as the Best Indian M.F.Sc. Thesis by PFGF. His groundbreaking work on seafood safety earned him the Young Scientist Award in 2025 from GRIAST. Dr. Singh’s academic achievements are further complemented by multiple fellowships, including the ICAR-Institute Fellowship for his postgraduate and doctoral studies. He is currently a DBT-Post-Doctoral Research Associate at IISc-Bangalore (2022-2025). These awards reflect his consistent academic excellence, research commitment, and significant contributions to microbiology, particularly in food safety, antibiotic resistance, and environmental sustainability.

Research Focus:

Dr. Asem Sanjit Singh’s research focuses on microbiology, particularly antibiotic resistance mechanisms in seafood, gut microbiota, and the trans-generational effects of antibiotics on model organisms. His post-doctoral research at the Indian Institute of Science, Bangalore, delves into the intricate interactions between gut microbes and their hosts. His work in seafood safety has revealed significant insights into antibiotic-resistant Escherichia coli and other pathogens, contributing to public health concerns related to foodborne diseases. Dr. Singh’s studies on the impact of antibiotics on microbiota and fertility in organisms like Drosophila melanogaster provide valuable data for understanding environmental and health implications. Additionally, his work on microplastics, pollution, and the sustainability of aquaculture systems highlights his commitment to improving the environmental and health aspects of fisheries. Dr. Singh’s research has profound implications for food safety, environmental sustainability, and microbial health.

Publications Top Notes:

  1. Isolation of Escherichia coli harboring blaNDM-5 from fresh fish in India 🐟🔬
  2. Evaluation of textural quality as a parameter to optimize thermal process during retort pouch processing of boneless rohu balls in curry medium 🍛🐟
  3. Multiple antibiotic-resistant, Extended Spectrum-β-Lactamase (ESBL)-producing enterobacteria in fresh seafood 🦠🐠
  4. Characterization of blaNDM-harboring, multidrug-resistant enterobacteriaceae isolated from seafood 🧫🌊
  5. Virulence genotypes and antimicrobial susceptibility patterns of Arcobacter butzleri isolated from seafood and its environment 🦠🌍
  6. Effects of rosemary extracts on textural and functional qualities of surimi gel from striped catfish 🐟🌿
  7. High prevalence of multiple antibiotic-resistant, Extended-Spectrum β-Lactamase (ESBL)-producing Escherichia coli in fresh seafood sold in retail markets of Mumbai 🛒🐟
  8. Quality assessment of fishes caught by single-day and multi-day gillnet fishing off Satpati coast, Maharashtra, India 🌊🎣
  9. Environmental pressure of active fishing method: a study on carbon emission by trawlers from northwest Indian coast 🚢🌍
  10. Characteristics and mechanism of potential probiotics with special reference to lactic acid bacteria from traditional fermented fish products 🦠🥘

Conclusion:

Dr. Asem Sanjit Singh is an exceptionally deserving candidate for the Young Scientist Award. His comprehensive research portfolio, coupled with his academic excellence, dedication to public health, and numerous recognitions, positions him as an emerging leader in microbiology, food safety, and environmental health. His work has already made significant contributions to the field of seafood safety and antibiotic resistance, and with further focus on public outreach and mentoring, he could amplify his impact. His ability to approach complex scientific issues from an interdisciplinary perspective makes him a standout candidate for the award.

Erdal Dinç | Cell Biology Research Award | Best Researcher Award

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prof. Dr. Erdal Dinç | Cell Biology Research Award | Best Researcher Award

Prof. Dr. Erdal Dinç , Ankara University, Faculty of Pharmacy, Department of Analytical Chemistry , Turkey

Erdal Dinç is a distinguished professor of Analytical Chemistry at the Faculty of Pharmacy, Ankara University, Turkey. With a prolific academic career, he has authored 195 research papers in SCI-indexed journals and 133 in Scopus-indexed journals. His work has received approximately 3013 citations, and he has an H-index of 29. His research interests focus on developing novel analytical methods for drug-DNA interactions, drug analysis, and the characterization of nano-films on modified electrode systems. Prof. Dinç has also contributed to books and conference proceedings in the field of analytical chemistry. Known for his significant contributions to chemometrics, chromatography, and spectroscopy, he has shaped the field with his innovative approaches in analytical methodologies, paving the way for advancements in pharmaceutical, food, and biological sciences.

Publication Profile:

Scopus

Strengths for the Award:

Professor Erdal Dinç is a distinguished academic with substantial contributions to analytical chemistry, particularly in the areas of drug analysis, drug-DNA interaction studies, and the development of new analytical methods. His impressive publication record includes 195 research papers in SCI-indexed journals and 133 in Scopus-indexed journals. His work has been cited over 3000 times, demonstrating a significant impact on the field. Additionally, his work on chemometrics, spectroscopy, and chromatography, along with his involvement in multiple ongoing research projects, showcases his innovative approach to solving complex analytical problems.

Areas for Improvement:

While Professor Dinç has an outstanding record in publishing and advancing analytical chemistry, expanding his collaborations internationally could further enhance the global reach and influence of his research. Additionally, translating some of his advanced techniques into more practical, industry-applicable tools could widen the real-world impact of his work.

Education:

Prof. Erdal Dinç completed his undergraduate education in Chemistry at the University of Ankara, followed by a master’s and Ph.D. in Analytical Chemistry. His doctoral research focused on chemometric approaches in chromatographic and spectroscopic analyses, which laid the foundation for his extensive career in the field. Over the years, he has been involved in numerous international collaborations and research programs. He continues to mentor graduate and post-graduate students in his field, guiding them through advanced research techniques and methodologies. His academic journey reflects a commitment to knowledge advancement, and his continuous work in both theoretical and applied chemistry makes him a leading figure in analytical sciences.

Experience:

Prof. Erdal Dinç has over 20 years of academic experience at Ankara University, where he has taught various analytical chemistry courses and supervised numerous research projects. His extensive research expertise spans across multiple areas, including spectrophotometry, chromatography, chemometrics, and drug analysis. Throughout his career, Prof. Dinç has led several significant research projects, many of which have been funded by organizations like TÜBİTAK and Ankara University. His work involves pioneering new methods for analyzing drug-DNA interactions, bioanalysis, and plant analysis. His academic contributions are reflected in his published articles and books, making him a globally recognized expert in the field of analytical chemistry. Prof. Dinç has been a key player in advancing chemical analysis in pharmaceutical, biological, and food sciences, and his work continues to inspire new generations of researchers.

Awards and Honors:

Prof. Erdal Dinç has received numerous accolades in recognition of his significant contributions to analytical chemistry. His research, spanning over two decades, has earned him national and international recognition in the field. Notably, he has been a recipient of several prestigious research grants from TÜBİTAK (The Scientific and Technological Research Council of Turkey) and Ankara University, facilitating cutting-edge work in drug analysis and chemical methodologies. His scientific achievements are further acknowledged by his high citation index and H-index of 29, which reflect his influence and reputation in the global scientific community. Prof. Dinç’s expertise in spectroscopic analysis and chemometric techniques has made him a sought-after researcher and speaker at conferences, where he shares his innovative methodologies with professionals worldwide. His work continues to impact the development of analytical tools and techniques in various sectors of science and industry.

Research Focus:

Prof. Erdal Dinç’s research focuses on the development of innovative analytical techniques for drug analysis, particularly in the areas of drug-DNA interaction studies, drug quantification, and the characterization of complex mixtures. His work explores advanced methods in chromatography (HPLC, UPLC), voltammetry, and spectrophotometry (UV-VIS, spectrofluorimetry, IR). He is particularly interested in applying chemometrics to resolve complex analytical problems, such as multi-component pharmaceutical formulations and kinetic reaction monitoring in biological and food samples. Prof. Dinç has developed novel models for analyzing interactions at the molecular level, such as those between pharmaceuticals and DNA, which can help in understanding drug efficacy and safety. Additionally, his research extends to the analysis of food products, biological fluids, and plant compounds, where he applies multidimensional spectral techniques to improve analytical accuracy and precision.

Publications Top Notes:

  1. Dinç, E., & Üçer, A. (2025). A new three-dimensional modeling of fluorescence excitation-emission measurements to explore the interaction of hydroxychloroquine and DNA, and to quantify their binding constant. Colloids and Surfaces B: Biointerfaces 💊🧬
  2. Üçer A., Ertekіn Z.C., Dіnç E (2024). A comparative application of spectrophotometric and spectrofluorimetric methods to estimate levofloxacin-DNA and ofloxacin-DNA interactions. Journal of Fluorescence 🔬🧫
  3. Üstündağ, Ö., & Dinç, E. (2024). A Rapid DMeyer-CWT Method Application to the Spectrophotometric Data for the Quantification of Losartan Potassium and Hydrochlorothiazide in a Binary Mixture. Sakarya University Journal of Science 💊⚙️
  4. Ertekin, Z. C., Büker, E., Oral, E. V., & Dinç, E. (2024). Application of continuous wavelet transforms for simultaneous estimation of domperidone and lansoprazole in capsule formulations. Measurement 💊📊
  5. Üçer, A., Üstündağ, Ö., & Dinç, E. (2023). Monitoring ascorbic acid oxidation with H2O2 and analyzing food supplements using parallel factor analysis model. Journal of Food Composition and Analysis 🍊🔬
  6. Di̇Nç, E., Üçer, A., Ünal, N. (2023). A multiway spectral analysis model to monitor the kinetic chlorination reaction of caffeine in commercial drinks. Food Chemistry 🥤☕

Conclusion:

Professor Erdal Dinç’s expertise, prolific publication record, and innovative research make him a strong candidate for the Best Researcher Award. His contributions to analytical chemistry are commendable, and with continued focus on global collaborations and practical applications, his future work could have even broader implications for the field.