Nassim Brahimi | Food Science/Modeling | Best Researcher Award

Dr. Nassim Brahimi | Food Science/Modeling | Best Researcher Award

Senior Researcher, Class B at Centre de Recherche en Technologies Agro-Alimentaires, Algeria

Dr. Nassim Brahimi is a dedicated and multidisciplinary researcher specializing in applied mathematics with a keen focus on modeling and optimization in the agro-food sector. He earned his PhD from the University of Béjaïa in 2018, with research centered on bio-inspired optimization algorithms. Currently serving as a Maître de recherche at the Centre de Recherche en Technologies Agro-Alimentaires in Algeria, Dr. Brahimi has published in several high-impact journals, including Trends in Food Science and Technology and Operations Research Letters. His work bridges mathematics and food science, contributing significantly to the evaluation and validation of kinetic models in food systems. Despite being early in his research career, he has demonstrated strong potential through innovative studies and collaborative publications. With a cumulative impact factor of 15.1 over the past three years and a growing academic presence, Dr. Brahimi is a promising researcher committed to advancing scientific knowledge through analytical rigor and interdisciplinary approaches.

Professional Profile

Education

Dr. Nassim Brahimi has an outstanding academic background rooted in mathematics and applied sciences. He began his higher education at the University of Béjaïa, Algeria, where he earned a Bachelor’s degree in Fundamental Mathematics in 2011, graduating as valedictorian with highest honors. He continued at the same university to complete his Master’s degree in Analysis and Probability in 2013, again earning top honors and graduating first in his class. His academic journey culminated in a PhD in Applied Mathematics, awarded in 2018, with a dissertation focused on the convergence analysis of population-based evolutionary algorithms for global optimization. This doctoral work combined theoretical depth with practical application in stochastic processes and heuristic optimization. Dr. Brahimi’s education reflects a solid foundation in mathematical theory, analytical techniques, and scientific research methodology, all of which underpin his current interdisciplinary research in the fields of optimization, data modeling, and food science.

Professional Experience

Dr. Nassim Brahimi has accumulated valuable professional experience in both academic research and applied scientific domains. Currently serving as a Maître de recherche classe B at the Centre de Recherche en Technologies Agro-Alimentaires (CRTAA) in Béjaïa, Algeria, he has been actively engaged in interdisciplinary research since June 2022. His work primarily focuses on the application of advanced mathematical and statistical models to challenges in the agro-food sector, with a strong emphasis on optimization, data analysis, and simulation. His academic training in applied mathematics, coupled with his skills in experimental design, heuristic analysis, and programming, enables him to address complex problems with precision and innovation. Dr. Brahimi’s professional profile is further enhanced by his participation in national and international conferences, collaborative research publications, and involvement in multidisciplinary projects. Although early in his research career, he demonstrates a proactive and responsible approach, continuously contributing to scientific advancement through dedicated research and innovation.

Research interest

Dr. Nassim Brahimi’s research interests lie at the intersection of applied mathematics, data science, and food technology, with a particular focus on optimization, modeling, and simulation. His work explores the development and analysis of heuristic and bio-inspired algorithms, including ant colony optimization and plant propagation algorithms, for solving complex global optimization problems. Recently, he has expanded his research to the agro-food sector, where he applies advanced statistical and mathematical modeling techniques to evaluate kinetic models and improve predictive accuracy in food science. His interdisciplinary approach bridges theoretical mathematics with practical applications, aiming to enhance the reliability and efficiency of scientific models used in food safety, quality control, and food process optimization. Dr. Brahimi is especially interested in uncertainty quantification and validation methods, contributing to more robust decision-making frameworks. His work not only advances computational methods but also addresses real-world challenges, making his research impactful across multiple scientific and industrial domains.

Award and Honor

As of now, Dr. Nassim Brahimi has not received formal awards or honors; however, his academic and research achievements reflect a strong foundation for future recognition. Throughout his education, he consistently demonstrated academic excellence, graduating as valedictorian in both his Bachelor’s and Master’s programs at the University of Béjaïa. His selection as a presenter at international conferences, such as the EMCEI-23 in Italy, signifies his growing presence in the global research community. Moreover, his recent publication in the prestigious journal Trends in Food Science and Technology highlights the impact and quality of his work. His research has contributed to important advancements in modeling and optimization within the food science domain. Although still early in his research career, Dr. Brahimi’s consistent academic excellence, innovative publications, and commitment to interdisciplinary collaboration position him as a promising candidate for future awards and honors in both national and international scientific communities.

Research skill

Dr. Nassim Brahimi possesses a diverse and well-rounded set of research skills that bridge theoretical and applied domains. With a strong foundation in applied mathematics, he excels in optimization techniques, heuristic analysis, stochastic processes, and statistical modeling. His proficiency in experimental design and data analysis allows him to address complex research questions, particularly in the agro-food sector, where he models and validates kinetic processes. Dr. Brahimi is skilled in using programming tools such as R and other mathematical software, enabling him to develop simulations and perform in-depth computational analysis. He also brings technical competence in areas like web and software programming, database management, and design, which supports his ability to manage and analyze large data sets effectively. His strong analytical thinking, attention to detail, and adaptability make him capable of working independently or within multidisciplinary teams. These skills collectively enable Dr. Brahimi to deliver high-quality, innovative, and impactful research outcomes.

Conclusion

Dr. Nassim Brahimi is a promising early-career researcher with strong academic foundations, interdisciplinary expertise, and impactful recent publications. His work demonstrates originality and relevance, particularly in applying advanced mathematical techniques to food science. However, his current research profile suggests that he is still in the developmental phase of building a broader academic footprint.

Publications top Noted 

  • Title: Convergence analysis of the plant propagation algorithm for continuous global optimization

  • Authors: Nassim Brahimi, Abdellah Salhi, Megdouda Ourbih-Tari

  • Journal: RAIRO – Operations Research

  • Year: 2018

  • Publisher: EDP Sciences

  • Volume/Issue: Volume 52, Issue 2

  • Pages: 429–438

  • DOI: 10.1051/ro/2017037

  • Citations: 3 (as of the latest available data)

  • Access: Open access

Won-Bo Shim | Food Science and Technology | Best Researcher Award

Prof. Won-Bo Shim | Food Science and Technology | Best Researcher Award

Assistant Professor of Gyeongsang National University, South Korea

Prof. Won-Bo Shim is an esteemed Associate Professor at Gyeongsang National University in the Department of Food Science and Technology, located in Jinju, South Korea. With a career spanning from his undergraduate studies at Gyeongsang National University to post-doctoral research in Moscow and Florida, Prof. Shim has garnered extensive expertise in food science and technology. His research focuses on innovative methods for detecting foodborne pathogens, mycotoxins, and pesticides using advanced immunoassays and biosensors. Recognized for his contributions to the field, Prof. Shim has received notable awards from the Korean Society of Food Science and Technology and the Korean Society of Food Hygiene and Safety. Fluent in Korean and English, he actively engages in international collaborations and maintains memberships in several prestigious societies. 🌍🧪🎓

Professional Profile:

Education🎓 

Prof. Won-Bo Shim’s educational journey is marked by dedication and expertise. He earned his Bachelor’s degree in Food Science and Technology from Gyeongsang National University in 2001 📚🎓. He continued his studies at the same institution, completing his Master’s in Applied Life Science in 2003 🎓. His academic pursuit culminated with a Ph.D. in Applied Life Science from Gyeongsang National University in 2006 🎓. His rigorous training laid a solid foundation for his distinguished career in food science and technology. 🌟📖

Professional Experience 💼

Prof. Won-Bo Shim has an extensive and diverse professional background. After completing his Ph.D., he undertook a Post-Doc position at Moscow State University’s Department of Enzyme Chemistry from December 2006 to December 2007 🧪🇷🇺. He then returned to Korea as a Research Professor at Gyeongsang National University’s Institute of Agriculture and Life Science from March 2008 to March 2010 🌾🇰🇷. Prof. Shim broadened his experience further with a Post-Doc Fellowship in Florida State University’s Department of Nutrition, Food, and Exercise Science from April 2010 to March 2012 🌴🍴. Following that, he worked as a Research Fellow at Gwangju Institute of Science and Technology from 2012 to 2014 🔬. He continued his career as a Senior Researcher at the World Institute of Kimchi from 2014 to 2015 🥢. Additionally, he served as the Executive Director of the Korean Society of Food Hygiene and Safety from 2013 to 2015 🏅. Since 2015, Prof. Shim has been an Associate Professor at Gyeongsang National University, contributing significantly to his field 🎓📈.

Research interest🔍

Prof. Won-Bo Shim’s research interests are centered around advanced methods in food safety and technology. He is dedicated to developing colorimetric LAMP assays for the rapid detection of foodborne pathogens and viruses 🦠🔬. His work also includes creating monoclonal antibodies and immunochromatographic assays for detecting mycotoxins, antibiotics, food pathogens, and pesticides 🧪🍴. Prof. Shim is pioneering the development of monoclonal antibodies specific to pork fat 🥩 and innovative biosensors for identifying food fraud 🌐🔍. His research extends to simultaneous immunoassays for detecting multiple mycotoxins and studying protein arrays for the detection of mycotoxins, antibiotics, and pesticides in food 🌾🍽️.

Award and Honor🏅

Prof. Won-Bo Shim has earned significant recognition for his contributions to food science and technology. He was awarded the 1st Prize by the Korean Society of Food Science and Technology in 2006 for his work on “Simultaneous Detection Immunochromatography Using Two Colloidal Gold-Antibody Probes for Analysis of Aflatoxin B1 and Ochratoxin A” 🏆🔬. In 2008, he received another 1st Prize from the Korean Society of Food Hygiene and Safety for developing a fluorescence polarization immunoassay (FPIA) for imidacloprid and its metabolite 6-chloronicotinic acid 🏅🧪. These accolades highlight his exceptional achievements and ongoing impact in the field of food safety and technology. 🌟🎖️

Research Skill🔍

Prof. Won-Bo Shim possesses a diverse and advanced set of research skills. He excels in the development of colorimetric LAMP assays for rapid pathogen detection 🦠🔬 and is adept at creating monoclonal antibodies and immunochromatographic assays for identifying mycotoxins, antibiotics, and foodborne pathogens 🧪🍴. His expertise extends to designing biosensors for detecting food fraud 🌐🔍 and simultaneous immunoassays for multi-toxin detection 🧬. Prof. Shim is also skilled in protein array studies, which are crucial for simultaneous detection of various contaminants in food 🌾🍽️. His innovative approach and technical proficiency continue to advance the field of food science and technology. 🌟🔍

Achievements🏆

  • 1st Prize from the Korean Society of Food Science and Technology (2006) for developing a simultaneous detection immunochromatography method 🏆🔬.
  • 1st Prize from the Korean Society of Food Hygiene and Safety (2008) for creating a fluorescence polarization immunoassay for imidacloprid 🏅🧪.
  • Extensive experience as a Senior Researcher at the World Institute of Kimchi, contributing to advancements in food safety and technology 🥢🔬.
  • Held the role of Executive Director of the Korean Society of Food Hygiene and Safety, demonstrating leadership in the field 🏅👨‍🏫.
  • Developed innovative biosensors and colorimetric LAMP assays for rapid food pathogen detection 🌐🔍.
  • Pioneered the creation of monoclonal antibodies and immunoassays for detecting various food contaminants 🧪🍴.

Projects📊

  • Development of colorimetric LAMP assays for rapid detection of foodborne pathogenic bacteria and viruses 🦠🔬.
  • Creation of monoclonal antibodies and immunochromatographic assays for detecting mycotoxins, antibiotics, food pathogens, and pesticides 🧪🍴.
  • Development of monoclonal antibodies specific to pork fat to enhance food safety 🥩🔍.
  • Design of biosensors for identifying food fraud and ensuring product authenticity 🌐🕵️.
  • Development of simultaneous immunoassays based on membrane technology for detecting multiple mycotoxins at once 🧬📊.
  • Study of protein arrays for the simultaneous detection of mycotoxins, antibiotics, and pesticides in food 🌾🍽️.

Publications📜

  • Direct competitive ELISA based on a monoclonal antibody for detection of aflatoxin B1. Stabilization of ELISA kit components and application to grain samples
    📄 Authors: AY Kolosova, WB Shim, ZY Yang, SA Eremin, DH Chung
    📅 Year: 2006
    📚 Citations: 306
  • An aptamer-based dipstick assay for the rapid and simple detection of aflatoxin B1
    📄 Authors: WB Shim, MJ Kim, H Mun, MG Kim
    📅 Year: 2014
    📚 Citations: 242
  • Chemiluminescence competitive aptamer assay for the detection of aflatoxin B1 in corn samples
    📄 Authors: WB Shim, H Mun, HA Joung, JA Ofori, DH Chung, MG Kim
    📅 Year: 2014
    📚 Citations: 176
  • A regeneratable, label-free, localized surface plasmon resonance (LSPR) aptasensor for the detection of ochratoxin A
    📄 Authors: JH Park, JY Byun, H Mun, WB Shim, YB Shin, T Li, MG Kim
    📅 Year: 2014
    📚 Citations: 160
  • Development of immunochromatography strip-test using nanocolloidal gold-antibody probe for the rapid detection of aflatoxin B1 in grain and feed samples
    📄 Authors: WB Shim, ZY Yang, JS Kim, JY Kim, SJ Kang, GJ Woo, YC Chung, …
    📅 Year: 2007
    📚 Citations: 135
  • A structure-switchable aptasensor for aflatoxin B1 detection based on assembly of an aptamer/split DNAzyme
    📄 Authors: Y Seok, JY Byun, WB Shim, MG Kim
    📅 Year: 2015
    📚 Citations: 131
  • Detection of ochratoxin A (OTA) in coffee using chemiluminescence resonance energy transfer (CRET) aptasensor
    📄 Authors: EJ Jo, H Mun, SJ Kim, WB Shim, MG Kim
    📅 Year: 2016
    📚 Citations: 119
  • Fluorescence polarization immunoassay based on a monoclonal antibody for the detection of ochratoxin A
    📄 Authors: WB Shim, AY Kolosova, YJ Kim, ZY Yang, SJ Park, SA Eremin, IS Lee, …
    📅 Year: 2004
    📚 Citations: 105
  • Fluorescence polarization immunoassay based on a monoclonal antibody for the detection of the organophosphorus pesticide parathion-methyl
    📄 Authors: AY Kolosova, JH Park, SA Eremin, SJ Kang, DH Chung
    📅 Year: 2003
    📚 Citations: 100
  • Immunochromatography using colloidal gold− antibody probe for the detection of atrazine in water samples
    📄 Authors: WB Shim, ZY Yang, JY Kim, JG Choi, JH Je, SJ Kang, AY Kolosova, …
    📅 Year: 2006
    📚 Citations: 98
  • Comparative study of three immunoassays based on monoclonal antibodies for detection of the pesticide parathion-methyl in real samples
    📄 Authors: AY Kolosova, JH Park, SA Eremin, SJ Park, SJ Kang, WB Shim, HS Lee, …
    📅 Year: 2004
    📚 Citations: 95