Ebenezer Olaniyi | Food Quality | Best Researcher Award

Posted on by Food Scientist

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

Posted on by Food Scientist

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)