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Abidemi Emmanuel ADENIYI

RESEARCHER / LECTURER
college of Computing and Communication Studies (COCCS)
Computer Science Programme

Abidemi Emmanuel Adeniyi is a dedicated and accomplished academic in the field of computer science, currently affiliated with Bowen University, Iwo, Nigeria. He has pursued an illustrious academic and research career, underpinned by a strong educational foundation and a passion for teaching and research in computer science.

Adeniyi’s career is marked by significant achievements and contributions to the academic community. He has a robust portfolio of professional qualifications, including certifications in cybersecurity, technical support fundamentals, and HTML5 from reputable institutions. His research interests span information security, IoT security, computational complexity of cryptographic algorithms, machine learning, and information systems.

Adeniyi has been recognized for his research contributions, being listed as one of the top 500 researchers/authors in Nigeria by SCOPUS/SCIVAL for 2021-2022. His proficiency in programming languages and frameworks like C/C++, Java, Python, Assembly Language, and others, underscores his technical expertise. He holds memberships in various professional bodies, demonstrating his commitment to the field.

His leadership and service extend beyond the classroom, with significant contributions to various committees and boards. Adeniyi is deeply involved in fostering academic excellence and research, as evidenced by his administrative roles and supervision of undergraduate projects.

Adeniyi’s dedication to his field is further evidenced by his extensive list of publications in refereed journals and conference proceedings, marking him as a significant contributor to the advancement of computer science and its applications. His work reflects a deep commitment to using computing knowledge to address societal challenges, positioning him as a valuable asset to the academic community and a role model for aspiring computer scientists.

Education
  • University of Ilorin 2022 – till date
  • Landmark University, Omu-Aran, Nigeria 2019 – 2021
  • Ladoke Akintola University of Technology, Ogbomoso, Nigeria 2017 – 2019
  • University of Ilorin, Ilorin, Nigeria 2015 – 2016
Research
  1. Internet of Things Security using modified cryptography algorithm: The IoT devices are used to collect and transport sensitive data and due to their limited constrained there is need to design a tailored lightweight encryption algorithm for these devices to secure and provide privacy for the sensitive data collected.
  2. IoMT-based wearable body sensors network healthcare monitoring system: The Internet of Medical Things (IoMT) is the gathering and implementation of healthcare tools connected to public healthcare technology infrastructure via Internet-based communications systems. Medical devices with wireless fidelity allow machine-to-machine interaction which is the basis of IoMT. The smart use of resources allowed by the IoMT has raised the prospects of both the technical and consumer communities. The IoMT healthcare system turns everyday physical objects, medical devices that surround us into a smart entrenched healthcare system. It is well known that an effective healthcare monitoring system can detect health conditions abnormalities in time and make diagnoses using wearable body sensors network. Despite significant progress within the monitoring device industry, there is still limited widespread integration of wearable body sensors network into medical practice. However, the design of an IoMT healthcare system, such as security, authentication, and data exchange, presents many challenges. Therefore, this chapter proposes an architecture of an intelligent IoMT healthcare system for monitoring patients’ health using a wearable body sensor network. The system will use ensemble tree-based learning to disclose patterns and knowledge on patient health condition and its possible preventions. The proposed method advises and alerts medical personnel in real-time about the changing of the health condition of patients to suggest preventive measures in saving lives. The integration of the IoMT-based wearable body sensors network shows improvement in patients’ health conditions.
Institutional Service
  • Level Advisor: Computer Science student.
  • Committee Member of Departmental Result processing
Professional Service

Reviewer for various reputation journals:

  • SN Computer Science 2023 Till Date
  • MDPI Journal 2023 Till Date
  • PLOS ONE Journal 2023 Till Date
  • IEEE Access 2021 Till Date
  • International Journal of Sustainability in Higher Education 2021 Till Date
  • Journal of the Nigerian Society of Physical Sciences 2021 Till Date
  • Egyptian Informatics Journal 2020 Till Date
Selected Publications
  1. Awotunde, J. B., Imoize, A. L., Jimoh, R. G., Adeniyi, E. A., Abdulraheem, M., Oladipo, I. D., & Falola, P. B. (2024). AIoMT Enabling Real-Time Monitoring of Healthcare Systems: Security and Privacy Considerations. Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things, 97-133.
  2. Abdulraheem, M., Adeniyi, E. A., Awotunde, J. B., Imoize, A. L., Jimoh, R. G., Oladipo, I. D., & Falola, P. B. (2024). Artificial Intelligence of Medical Things for Medical Information Systems Privacy and Security. In Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things (pp. 63-96). CRC Press.
  3. Awotunde, J. B., Jimoh, R. G., Adeniyi, A. E., Ayo, E. F., Ajamu, G. J., & Aremu, D. R. (2023). Application of Interpretable Artificial Intelligence Enabled Cognitive Internet of Things for COVID-19 Pandemics. In Explainable Machine Learning for Multimedia Based Healthcare Applications (pp. 191-213). Cham: Springer International Publishing.
  4. Oladipupo, M. A., Obuzor, P. C., Bamgbade, B. J., Adeniyi, A. E., Olagunju, K. M., & Ajagbe, S. A. (2023). An Automated Python Script for Data Cleaning and Labeling using Machine Learning Technique. Informatica, 47(6).
  5. Adeniyi A. E., Mukaila, O., Olufemi, O. S., & Bharany, S. (2023). Campus Information Dissemination System Using Short Message Service Technology. In K. Kumar (Ed.), Applications of Artificial Intelligence in Wireless Communication Systems (pp. 163-176). IGI Global. https://doi.org/10.4018/978-1-6684-7348-1.ch011
  6. Adeniyi, E. A., Imoize, A. L., Awotunde, J. B., Lee, C., Falola, P., Jimoh, R. G. & Ajagbe, S. A. (2023). Performance Analysis of Two Famous Cryptographic Algorithms on Mixed Data. Journal of Computer Science, 19(6), 694-706. https://doi.org/10.3844/jcssp.2023.694.706
  7. Awokola, A. J., Falola, B. P., Adeniyi, A. E., Abiodun, M. K., Madamidola, A. O., Awotunde, J. B., … & Omolehin, P. (2023, April). Development of an android-based reminder system for the covid-19 Management. In 2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG) (Vol. 1, pp. 1-11). IEEE.
  8. Adeniyi A. E., Awokola, J. A., Alam, S., Bharany, S., Agboola, P., Shuaib, M., & Ahmed, R. (2023). A Hybrid Framework of Blockchain and IoT Technology in the Pharmaceutical Industry: A Comprehensive Study. Mobile Information Systems, 2023. [Scopus Indexed]
  9. Ojo, O. S., Oyediran, M. O., Bamgbade, B. J., Adeniyi, A. E., Ebong, G. N., & Ajagbe, S. A. (2023). Development of an Improved Convolutional Neural Network for an Automated Face Based University Attendance System. ParadigmPlus, 4(1), 18-28. [Google Scholar]
  10. Adeniyi, A. E., Abiodun, K. M., Awotunde, J. B., Olagunju, M., Ojo, O. S., & Edet, N. P. (2023). Implementation of a block cipher algorithm for medical information security on cloud environment: using modified advanced encryption standard approach. Multimedia Tools and Applications, 1-15. [Scopus and SCI Indexed]
  11. AbdulRaheem, M., Awotunde, J. B., Chakraborty, C., Adeniyi, E. A., Oladipo, I. D., & Bhoi, A. K. (2023). Security and privacy concerns in smart healthcare system. In Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain (pp. 243-273). Academic Press. [Scopus Indexed]
  12. Awotunde, J. B., Arowolo, M. O., Imoize, A. L., Farhaoui, Y., & Adeniyi, A. E. (2023). A Machine Learning-Based Model for Energy Efficiency Classification of an Unmanned Aerial Vehicle. In Artificial Intelligence and Smart Environment: ICAISE’2022 (pp. 54-63). Cham: Springer International Publishing. [Scopus Indexed]
  13. Oyediran, M. O., Ojo, O. S., Bharany, S., Adeniyi, A. E., Imoize, A. L., Farhaoui, Y., & Awotunde, J. B. (2023). Speech Emotion Recognition Using yet Another Mobile Network Tool. In Artificial Intelligence and Smart Environment: ICAISE’2022 (pp. 729-739). Cham: Springer International Publishing. [Scopus Indexed]
  14. Awotunde, J. B., Adeniyi, E. A., Ajagbe, S. A., Imoize, A. L., Oki, O. A., & Misra, S. (2023). Explainable artificial intelligence (XAI) in medical decision support systems (MDSS): applicability, prospects, legal implications, and challenges. Explainable Artificial Intelligence in Medical Decision Support Systems, 45. [Scopus Indexed]
  15. Awotunde, J. B., Misra, S., Adeniyi, A. E., Abiodun, M. K., Kaushik, M., & Lawrence, M. O. (2022, July). A Feature Selection-Based K-NN Model for Fast Software Defect Prediction. In Computational Science and Its Applications–ICCSA 2022 Workshops: Malaga, Spain, July 4–7, 2022, Proceedings, Part IV (pp. 49-61). Cham: Springer International Publishing. [Scopus Indexed]
  16. Adeniyi, A. E., Olagunju, M., Awotunde, J. B., Abiodun, M. K., Awokola, J., & Lawrence, M. O. (2022, July). Augmented Intelligence Multilingual Conversational Service for Smart Enterprise Management Software. In Computational Science and Its Applications–ICCSA 2022 Workshops: Malaga, Spain, July 4–7, 2022, Proceedings, Part V (pp. 476-488). Cham: Springer International Publishing. [Scopus and WoS Indexed]
  17. Awotunde, J. B., Adeniyi, E. A., Ajamu, G. J., Balogun, G. B., & Taofeek-Ibrahim, F. A. (2022). Explainable Artificial Intelligence in Genomic Sequence for Healthcare Systems Prediction. In Connected e-Health: Integrated IoT and Cloud Computing (pp. 417-437). Cham: Springer International Publishing. [Scopus Indexed]
  18. Adeniyi, A. E., Misra, S., Daniel, E., & Bokolo Jr, A. (2022). Computational complexity of modified blowfish cryptographic algorithm on video data. Algorithms, 15(10), 373. [Scopus, WoS and SCI Indexed]
  19. Muyideen Abdulraheem, Joseph Awotunde, Abidemi E Adeniyi, Idowu Oladipo and Sekinat Adekola (2022). Weather Prediction Performance Evaluation on Selected Machine Learning Algorithms. IAES International Journal of Artificial Intelligence (IJ-AI), 11(4), 1535-1544. http://doi.org/10.11591/ijai.v11.14.pp1535-1544. [Scopus Indexed]
  20. Kehinde, A. J., Adeniyi, A. E., Ogundokun, R. O., Gupta, H., & Misra, S. (2022). Prediction of students’ performance with artificial neural network using demographic traits. In Recent Innovations in Computing: Proceedings of ICRIC 2021, Volume 2 (pp. 613-624). Singapore: Springer Singapore. [Scopus Indexed]