Adeyinka Peace Adedigba

Artificial Intelligence Systems and Software Developer

Highly motivated career-driven, achiever and God-fearing; having great enthusiasm for work; with over Four (4) years of work and research experience in the field of Artificial Intelligence; Computer Vision Systems, embedded systems and Information Communication Technology; With proven skills to guarantee success in any task

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Research & Discoveries

Deep Learning-based Coronavirus Diagnosis and Detection

April 12, 2020

Deep learning-based Breast Histopathology analysis

Dec 4, 2019

Classification of Mammogram using deep convolutional neural network with small dataset

Dec 4, 2019

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Recent Publications

Adedigba, A. P., Adeshina, S. A., & Aibinu, A. M. (2019, December). Deep Learning-based Mammogram Classification using Small Dataset. In 2019 15th International Conference on Electronics, Computer and Computation (ICECCO) (pp. 1-6). IEEE

Adedigba, A. P., Zubair, A. R., Aibinu, A. M., Adeshina, S. A., Okubadejo, O., & Folorunso, T. A. (2019, December). Towards the Development of Intelligent Insulin Injection Controller For Diabetic Patients. In 2019 15th International Conference on Electronics, Computer and Computation (ICECCO) (pp. 1-6). IEEE.

S. A. Adeshina, A. P. Adedigba, A. A. Adeniyi and A. M. Aibinu, "Breast Cancer Histopathology Image Classification with Deep Convolutional Neural Networks," 2018 14th International Conference on Electronics Computer and Computation (ICECCO), Kaskelen, Kazakhstan, 2018, pp. 206-212.

Adedigba, A. P., Adeshina, S. A., Aina E.O., & Aibinu, A. M. (2020). Optimal Hyperparameter Selection of Deep Learning Models for COVID-19 Chest X-ray Classification. Submitted to Journal of Intelligent-base Medicine.

Aina, E.O, Adeshina, S.A, Adedigba, A.P, & Aibinu, A.M. (2020). Classification of Cervix Types using Optimized Hyperparameters of a Convolution Neural Network. Submitted to Journal of Clinical Imaging.

Adedigba, A. P., Adeshina, S. A., & Aibinu, A. M. (2020). Performance Evaluation of Deep learning Models on Mammogram Classification Using Small dataset. Submitted to Imaging Science Journal.

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Awards

Gold Medal: 26th Convocation Ceremony Exhibition Award (Research and Development )

My exhibit titled "Multiple Operators Enabled SIM Card" won the Gold medal in the 26th Convocation Ceremony. I represented the Department of Mechatronics Engineering in the exhibition, where I exhibited four projects: the Multiple Operators Enabled SIM Card, Portable Solar Inverter, Emergency call system and Robotics Kits and software.

2019 NCC Research Grant.

The Nigerian Communication Commission awarded a research grant for my project titled "Development of Intelligent Wireless Mobile Phone Battery Charger". The project was completed and delivered to NCC on October 20th, 2020.

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Contact Me

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