EBENEZER OLANIYI

• Precision Variety Identification of Shelled and in-shell Pecans Using Hyperspectral Imaging and Machine Learning, Ebenezer Olaniyi, Christopher Kucha, Priyanka Dahiya, Allison Niu, Infrared Physics and Technology, 142, 105570
• Miniaturized hand-held near-infrared spectroscopy and machine learning for precision monitoring of solid fat content, Christopher Kucha, Ebenezer O Olaniyi, Michael Ngadi, Journal of Food Measurement and Characterization,Volume 18, pages 4417–4428
• Applications of hyperspectral imaging in meat tenderness detection: Current research and potential for digital twin technology, Christopher Kucha, Ebenezer O Olaniyi, Food Bioscience, Volume 58, April 2024, 103754
• Non-destructive Assessment of Microbial Spoilage of Broiler Breast Meat Using Structured illumination Reflectance Imaging with Machine Learning, Ebenezer Olaniyi, Yuzhen Lu, Xin Zhang, Anuraj T Sukumaran, Hudson T Thames, Diksha Pokhrel, Food Analytical Methods, 17(5), 652-663
• Beef marbling assessment by structured-illumination reflectance imaging with deep learning, Jiaxu Cai, Yuzhen Lu, Ebenezer Olaniyi, Shangshang Wang, Chelsie Dahlgren, Derris Devost-Burnett, Thu Dinh, Journal of Food Engineering, 369, 111936
• Non-destructive Assessment of White Striping in Broiler Breast Meat Using Structured Illumination Reflectance Imaging and Deep Learning, Ebenezer Olaniyi, Yuzhen Lu, Theradiyil Sukumaran, Tessa Jarvis, Clinton Rowe, Journal of ASABE, Accepted
• Online volume measurement of sweet potatoes by A LiDAR-based machine vision system, Jiajun Xu, Yuzhen Lu, Ebenezer Olaniyi, Lorin Harvey, Journal of Food Engineering, 361, 111725
• Feasibility of Imaging Under Structured Illumination for Evaluation of White Striping in Broiler Fillets, Ebenezer Obaloluwa Olaniyi, Yuzhen Lu, Jiaxu Cai, Anuraj Theradiyil Sukumaran, Tessa Jarvis, Clinton Rowe, Journal of Food Engineering, 342, 2023, 111359
• Generative adversarial network (GANs) for Image augmentation in agriculture: A systematic review, Yuzhen Lu, Dong Chen, Ebenezer Olaniyi, Yanbo Huang, Computers and Electronics in Agriculture, 200, 2022, 107208
• Diagnostic test accuracy of deep learning detection of COVID-19: a systematic review and meta-analysis, Temitope Emmanuel Komolafe, Cao Yuzhu, Benedictor Alexander Nguchu, Patrice Monkam, Ebenezer O. Olaniyi, Haotian Sun, Jian Zheng, Xiaodeng Yang, Academic Radiology, 28, 11, November, 2021, 1507-1523
• Prevalence of COVID-19 Diagnostic Output with Chest Computed Tomography: A Systematic Review and Meta-Analysis, Temitope Emmanuel Komolafe, John Agbo, Ebenezer O. Olaniyi, Kayode Komolafe, X Yang, Diagnostics, 10, 12, 1023
• In-line grading system for mango fruits using GLCM feature extraction and soft-computing techniques, Ebenezer O. Olaniyi, Oyebade K Oyedotun, Clement A Ogunlade, Adnan Khashman, International Journal of Applied Pattern Recognition, 2019, 6, 1, 58-75, 10.1504/IJAPR.2019.1042943
• Automatic system for grading banana using GLCM texture feature extraction and neural network arbitrations, Olaniyi E. O, Adekunle A. A, Odekuoye T, Khashman A, J Food Process Eng., 2017, 10.1111/jfpe.12575
• Intelligent Grading System for Banana Fruit Using Neural Network Arbitration, Olaniyi E. O., Oyedotun O. K., Adnan K., Journal of Food Process Engineering, January, 2017, 10.1111/jfpe.12335
• Diagnosis of Heart Disease using Neural Network Arbitration, E. O. Olaniyi, O.K. Oyedotun, K. Adnan, International Journal of Intelligent Systems and Applications, 12, 72-79, 10.5815/ijisa.2015.12.08
• Onset Diabetes Diagnosis Using Artificial Neural Network, E. O. Olaniyi, K. Adnan, International Journal of Scientific and Engineering Research, 5, 10, October, 2014
• A Simple and Practical Review of Over-Fitting in Neural Network Learning, Oyebode K. Oyedotun, Ebenezer O. Olaniyi, Adnan Khashman, International Journal of Applied Pattern Recognition, 4, 4, 307-328, 2017
• Diabetic Retinopathy Diagnosis Using Neural Network Arbitration, Adefemi A. Adekunle, Adnan Khashman, Ebenezer O. Olaniyi, Oyebade K. Oyedotun, Bulletin of the Transilvania University of Braşov – Series III Mathematics, Informatics, Physics, 10, 1, 179-192, 2017
• Evaluation of Seminal Quality with RBF Neural Network, Abdulkadir HELWAN, Adnan KHASHMAN, Ebenezer O. OLANIYI, Oyebade K. OYEDOTUN, Oyetade A. OYEDOTUN, Bulletin of the Transilvania University of Braşov – Series III Mathematics, Informatics, Physics, 9, 2, 2016
• Disk Hernia and Spondylolisthesis Diagnosis Using Biomechanical Features and Neural Network, O.K. Oyedotun, E.O. Olaniyi, A. Khashman, Technology and Health Care Journal, 24, 2, 267-279, 2016
• Deep Learning in Character Recognition considering Pattern Invariance Constraints, O.K. Oyedotun, E. O. Olaniyi, K. Adnan, International Journal of Intelligent Systems and Applications, 7, 7, 2015, 1-10, 10.5815/ijisa.2015.07.01

• Evaluation of White Striping in Broiler Meat Using Structured Illumination Reflectance Imaging, E.O. Olaniyi, Yuzhen Lu, Jiaxu Cai, Anuraj Theradiyil Sukumaran, Tessa Jarvis, 2022 ASABE Annual International Meeting, Houston, Texas, 07/17/22 - 07/20/22
• Neural Network Diagnosis of Heart Disease, E.O. Olaniyi, O.K. Oyedotun, Helwan A., Adnan Khashman, 3rd IEEE International Conference on Advances in Biomedical Engineering (ICABME), Beirut, 09/16/15 - 09/18/15, 10.1109/ICABME.2015.7323241
• Liver Disorder Diagnosis Based on Neural Network, E. O. Olaniyi, Khashman A., Advance in Computational Intelligence, Rome, Italy, 11/07/15 - 11/09/15, 48-53
• Identification System for Grading Banana in Food Processing Industry, E. O. Olaniyi, O.K. Oyedotun, Khashman Adnan, 17th International Conference on Multimedia Computing, Systems and Applications, 07/09/15 - 07/10/15, Prague, Czech Republic

• American Society of Agricultural and Biological Engineering, 02/01/22
• The Council for Regulation of Engineering in Nigeria (COREN), 44389, 08/01/18
• Association of Engineers (IAENG), 166301, 09/01/16
• Science and Engineering Institute (SCIE), 09/01/14

• Graduate Student Scholarship, 09/01/13 - 07/01/15
• Mississippi State University Graduate Research Assistantship, Fall 2021, Spring 2022, Fall 2022, Spring 2022

Python programming (NumPy, pandas, matplotlib, scipy, scikit-learn, jupyter notebooks), Machine Learning (support vector machine, Artificial Neural Network, Random Forest, Linear discrimination analysis), Deep Learning, Keras, Google TensorFlow, GitHub, MATLAB, Simulink, MS Excel, OpenCV, Machine Learning, Deep Learning, Digital Image Processing, Programmable logic controller, Pattern recognition, Data Mining, Coding Theory, Reinforcement Learning