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)

Sugandh Arora | Food security | Editorial Board Member

Posted on by Food Scientist

Assist. Prof. Dr. Sugandh Arora | Food security | Editorial Board Member

Assistant Professor | Ajeenkya DY Patil University | India

Assist. Prof. Dr. Sugandh Arora is a distinguished academician and researcher whose professional journey includes extensive experience in academia, serving as an Assistant Professor in a School of Management and holding prior roles as a financial advisor in the finance industry and as a faculty member at top universities. She completed her doctoral research at the Mittal School of Business and has an academic career spanning several years. Her research interest is primarily concentrated in the interdisciplinary areas of household food security, agricultural economics, international trade, vulnerability, maternal health, and national food security reforms, including the integration of modern technologies like blockchain in the food system. Her research skills are evidenced by her competency in rigorous quantitative analysis, conceptual framework development, systematic reviews, and expertise in data analysis tools like SPSS. She has significantly contributed to her field through numerous publications in reputed journals, including those indexed in Scopus. Her awards and honors include receiving the Best Paper Award at a national conference and securing two copyrights from the Government of India. Furthermore, she has been recognized with international exposure through engagements in Poland and Indonesia, reflecting her global research relevance. In conclusion, Assist. Prof. Dr. Sugandh Arora has established herself as a valuable and globally engaged scholar dedicated to addressing critical issues in economic policy and food security, with a strong commitment to impactful research and academic excellence.

Profile: Scopus | ORCID

Featured Publications:

Arora, S., Oberoi, S., Nabi, T., & Verma, B. (2024). How does blockchain impact sustainable food security? Insights from literature review. International Journal of Information Management Data Insights, 4(2), 100276. (16 Citations)

Arora, S., & Nabi, T. (2022). Blockchain adoption in banking systems: A boon or bane? Applications, challenges, and opportunities of blockchain technology in …. (14 Citations)

Oberoi, S., Arora, S., Verma, B., & Roy, K. K. (2024). What do we know about artificial intelligence and blockchain technology integration in the healthcare industry? Driving decentralization and disruption with digital technologies, 124–138. (12 Citations)

Arora, S., & Nabi, T. (2022). Determinants affecting household food security in India: A critical review. International Journal of Economic Policy in Emerging Economies, 15(2–4), 317–330. (11 Citations)

Verma, B., Bhardwaj, M., Arora, S., & Oberoi, S. (2025). Unveiling the impact of remittances on productive efficiencies: Investigating productivity growth of prominent remittance-receiving developing nations. International Journal of Productivity and Performance Management, 74(4). (4 Citations)

Arora, S., Nabi, T., & Bhardwaj, M. (2023). Blockchain technology: A double-edged sword when it comes to sustainable food security. The Empirical Economics Letters, 22, 67–88. (4 Citations)

Arora, S., Nabi, T., Oberoi, S., & Awasthi, V. (2024). Prevalence of household food security and health-related quality of life: Special consideration on the expectant mothers in Punjab. The Indian Economic Journal, 72(3), 540–553. (2 Citations)