Carla Miranda | Advances in Food Microbiology | Excellence in Research Award

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Excellence in Research Award

Carla Miranda
Affiliation CESPU
Country Portugal
Scopus ID 56649542700
Documents 38
Citations 902
h-index 16
Subject Area Advances in Food Microbiology
Event International Food Scientist Awards
ORCID 0000-0001-9640-9377

Carla Miranda 
CESPU, Portugal

This academic recognition article presents a structured overview of Carla Miranda, a researcher affiliated with CESPU, Portugal. Her scholarly work is primarily associated with Advances in Food Microbiology, with research outputs indexed in international bibliographic databases. The profile summarizes available bibliometric indicators, institutional affiliation, research focus, and scholarly identifiers using a neutral, encyclopedia-inspired presentation suitable for academic recognition.[1]

Abstract

Carla Miranda has developed a substantial academic profile through peer-reviewed publications addressing topics in food microbiology and related life sciences. According to the supplied bibliometric information, her research record includes thirty-eight indexed documents, more than nine hundred citations, and an h-index of sixteen. These indicators demonstrate sustained scholarly engagement and measurable academic visibility while supporting transparent research assessment through internationally recognized scholarly databases.[1][2]

Keywords

Food Microbiology, Food Safety, Microbial Research, Scientific Publications, Research Impact, Bibliometrics

Introduction

Research in food microbiology plays an important role in understanding microbial ecology, food quality, food safety, preservation technologies, and public health. Academic evaluation frequently incorporates publication records, citation metrics, and persistent researcher identifiers to facilitate transparent assessment of scholarly productivity and influence.[1][3]

Research Profile

The supplied scholarly profile identifies Carla Miranda as a researcher affiliated with CESPU in Portugal. Her Scopus profile records thirty-eight indexed publications, nine hundred and two citations, and an h-index of sixteen, reflecting continued scientific activity within food microbiology and related interdisciplinary fields.[1]

  • Affiliation: CESPU
  • Country: Portugal
  • Research Area: Advances in Food Microbiology
  • Indexed Publications: 38
  • Total Citations: 902
  • h-index: 16

Research Contributions

The available scholarly record indicates contributions to advancing scientific understanding in food microbiology through peer-reviewed research. Topics within this discipline commonly include microbial detection, foodborne pathogens, preservation methods, antimicrobial resistance, fermentation science, and food quality assurance. Collectively, these research areas contribute to evidence-based improvements in food systems and public health.[1][2]

Publications

The research portfolio currently includes thirty-eight publications indexed within the Scopus database. Readers seeking comprehensive publication details, citation history, co-authorship information, and document metrics may consult the official Scopus Author Profile and ORCID record referenced below.[1][2]

Research Impact

With 902 recorded citations and an h-index of 16, the available bibliometric indicators suggest that Carla Miranda’s published research has achieved measurable scholarly visibility within the scientific community. Such metrics provide quantitative evidence supporting research dissemination while complementing qualitative assessments of originality, relevance, and scientific contribution.[1][3]

Award Suitability

The documented publication record, citation performance, and internationally recognized scholarly identifiers provide objective information that may support consideration within academic recognition initiatives such as the International Food Scientist Awards. Final eligibility and award decisions remain dependent upon the official evaluation criteria, peer review procedures, and organizational policies governing the award program.[4]

Conclusion

This article provides a structured academic overview of Carla Miranda based on the supplied institutional and bibliometric information. The combination of publication metrics, citation indicators, researcher identifiers, and external scholarly resources creates a transparent reference suitable for academic recognition, professional documentation, and informational purposes while maintaining a neutral encyclopedic presentation.[1][2]

References

  1. Elsevier. (n.d.). Scopus Author Details: Carla Miranda, Author ID 56649542700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56649542700
  2. ORCID. (n.d.). ORCID Record: Carla Miranda.
    https://orcid.org/0000-0001-9640-9377
  3. Silent Reservoirs: Antibiotic-Resistant Escherichia coli in Autochtonous Portuguese Laying Hens. https://www.mdpi.com/2076-0817/15/2/163
  4. International DOI Foundation. (n.d.). Citizen Science to Raise Antimicrobial Resistance Awareness in the Community: The MicroMundo Project in Spain and Portugal.
    https://pmc.ncbi.nlm.nih.gov/articles/PMC11878116/
  5. Dairy Cattle and the Iconic Autochthonous Cattle in Northern Portugal Are Reservoirs of Multidrug-Resistant Escherichia coli.
    https://www.mdpi.com/2079-6382/13/12/1208

Ebenezer Olaniyi | Food Quality | Best Researcher Award

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Mr. Ebenezer Olaniyi | Food Quality | Best Researcher Award

Research Assistant | University of Georgia | United States 

Mr. Ebenezer Olaniyi is a distinguished researcher whose profile spans Food Science and Technology and Electrical/Electronic Engineering, with a core focus on developing intelligent systems for non-destructive quality assessment. His educational background includes advanced degrees in his technical field. His professional experience includes roles as a Lecturer in engineering and his current capacity as a Graduate Research Assistant, contributing to cutting-edge food safety projects. Mr. Olaniyi’s primary research interest lies in applying Artificial Intelligence, Machine Learning, and Computer Vision for solving real-world challenges in the food industry, such as rapid and objective evaluation of meat quality (e.g., white striping and microbial spoilage) and the grading of agricultural products like sweet potatoes and bananas. His specific research skills encompass advanced techniques like Structured Illumination Reflectance Imaging (SIRI), Pattern Recognition, Deep Learning, and Neural Networks for feature extraction and classification. The available information, while comprehensive on his research output, does not list specific formal awards or honors at this time. In conclusion, Mr. Olaniyi is an interdisciplinary scholar positioned to make transformative contributions to the efficiency and safety of global food production through his innovative application of machine vision systems.

Profile: Google scholar | ORCID

Featured Publications:

Lu, Y., Chen, D., Olaniyi, E. O., & Huang, Y. (2022). Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review. Computers and Electronics in Agriculture, 200, 107208. (Citations: 344)

Olaniyi, E. O., Oyedotun, O. K., & Adnan, K. (2015). Heart diseases diagnosis using neural networks arbitration. International Journal of Intelligent Systems and Applications, 7(12), 72. (Citations: 230)

Olaniyi, E. O., Khashman, A. (2014). Onset diabetes diagnosis using artificial neural network. International Journal of Scientific and Engineering Research, 5(10), 754-759. (Citations: 90)

Olaniyi, E. O., Adekunle, A. A., Odekuoye, T., & Khashman, A. (2017). Automatic system for grading banana using GLCM texture feature extraction and neural network arbitrations. Journal of Food Process Engineering, 40(6), e12575. (Citations: 60)

Olaniyi, E. O., Oyedotun, O. K., & Khashman, A. (2017). Intelligent grading system for banana fruit using neural network arbitration. Journal of Food Process Engineering, 40(1), e12335. (Citations: 59)

Ozerdem, O. C., Olaniyi, E. O., & Oyedotun, O. K. (2017). Short term load forecasting using particle swarm optimization neural network. Procedia Computer Science, 120, 382-393. (Citations: 53)

Phatthira Yingleardrattanakul | Food Science | Best Researcher Award

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Mrs. Phatthira Yingleardrattanakul | Food Science | Best Researcher Award

Mrs. Phatthira Yingleardrattanakul | Food Science | Senior Professional Medical Scientist |  King Mongkut′s Institute of Technology Ladkrabang | Thailand

Mrs. Phatthira Yingleardrattanakul is a notable researcher in Food Science and Technology, focusing particularly on the stability and encapsulation of bioactive food compounds. Her professional experience and research interests center on developing novel microencapsulation techniques, such as spray drying and electrospinning, to enhance the stability, retention, and controlled release of sensitive micronutrients like folic acid (vitamin B9) and vitamin C in various food matrices. Mrs. Phatthira Yingleardrattanakul’s work often involves evaluating the efficacy of different biopolymers like alginate, pectin, and chitosan as encapsulating agents. Key research skills she employs include microencapsulation technology, chromatography (HPLC) for compound analysis, and the evaluation of stability under different processing conditions (e.g., heat, extrusion). While specific details on her full education and awards are not available in the public snippets, her extensive publication record demonstrates her significant contribution to improving food fortification and the shelf life of functional foods. In conclusion, Mrs. Phatthira Yingleardrattanakul’s research is highly relevant to solving critical challenges in food science by enhancing nutrient bioavailability and stability in the food industry.

Profile: Scopus

Featured Publications: 

Encapsulation of vitamin C in triphosphate linked chitosan microspheres by spray drying. (2005, 175)

Susceptibility of 5-methyltetrahydrofolic acid to heat and microencapsulation to enhance its stability during extrusion processing. (2012, 102)

Encapsulation of folic acid and its stability in sodium alginate-pectin-poly(ethylene oxide) electrospun fibres. (2012, 85)

Ion pair-based dispersive liquid–liquid microextraction followed by high performance liquid chromatography as a new method for determining five folate derivatives in foodstuffs. (2015, 60)

Evaluation of spray drying microencapsulation for folic acid fortification of dried rice vermicelli (Khanom Jeen). (2018, 22)

Preliminary evaluation and studies on the preparation, characterization and in vitro release studies of different biopolymer microparticles for controlled release of folic acid. (2020, 11)

Evaluation of the efficiency of various folic acid microencapsulation techniques for rice vermicelli (Khanom Jeen) fortification. (2020, 1)