About
Dr. Olalekan Joel Awujoola
A seasoned Chief System Analyst and Programmer with over two decades of experience, specializing in technological innovation, computational modeling, and algorithm development.
Professional Summary
With a Ph.D. in Computer Science and expertise in machine learning, deep learning, and artificial intelligence, I have dedicated my career to developing innovative AI-driven solutions that address real-world challenges. My research focuses on practical applications in healthcare, including brain tumor detection, breast cancer diagnosis, and leukemia identification, as well as cybersecurity solutions for network intrusion detection and malware classification. I am passionate about leveraging advanced computational models to drive impactful outcomes and have a proven track record of leading research projects and mentoring the next generation of technologists.
Ph.D. Computer Science
2024
Publications
Peer-reviewed journal articles and book chapters
2020 -2025
Work Experience
Chief System Analyst at Nigerian Defence Academy
2001 - Present
Key skill & Expertise
Machine Learning & AI
Programming
Cybersecurity
Resume
Summary
Dr Olalekan Joel Awujoola
A seasoned Chief System Analyst and Programmer with over two decades of experience, specializing in technological innovation, computational modeling, and algorithm development.
- Nigerian Defence Academy
PMB 2109, Kaduna, Kaduna State, Nigeria
Directorate of ICT - +234 803 705 3088
- ojawujoola@nda.edu.ng
- mctelex@gmail.com
Education
Ph.D. in Computer Science
2024
Nigerian Defence Academy, Kaduna, Nigeria
Machine Learning, Artificial Intelligence, Big Data, Deep Learning
M.Sc. in Information Technology
2024
National Open University of Nigeria
M.Sc. in Computer Science
2016
Ahmadu Bello University, Zaria
M.Sc. in Nuclear and Radiation Physics
2012
Nigerian Defence Academy, Kaduna
B.Tech in Mathematics Education with Computer Science
1995 - 1998
Federal University of Technology, Minna
Professional Experience
Chief System Analyst / Programmer
Nigerian Defence Academy, Kaduna
August 2001 - Present
- Led development of machine learning models for healthcare diagnostics and cybersecurity
- Authored 30+ peer-reviewed journal articles and book chapters on AI and deep learning
- Designed scalable systems for predictive analytics enhancing operational efficiency
- Mentored junior staff and trained cadets in software development methodologies
Adjunct Lecturer
Stepping Stone Advertising, New York, NY
2013 - Present
- Teaching formal methods of software development and net-centric computing
- Developing curricula for operating systems and data communication courses
- Training cadets in foundational and advanced technical skills
- Research supervision and academic mentorship
Publications
A comprehensive collection of peer-reviewed research articles and book chapters spanning machine learning, healthcare AI, and cybersecurity application
30+
Publication
15+
Journals Articles
15+
Book Chapters
5
Reasearch Areas
Integration of layer-wise relevance propagation, recursive data pruning, and convolutional neural networks for improved text classification
Ado, A., Awujoola, O. J., Abdullahi, S. D., & Ibrahim, S. H
Journal Article: FUDMA Journal of Sciences
Volume 9(7), Pages 35 - 41
2025
Machine Learning
Mitigating Class Imbalance in Tuberculosis Detection: Combining Smote and Tomek Link with Modified Focal Loss and Class Weighting In a Transfer Learning Framework
SH Ibrahim, ID Muraino, S Danlami, OJ Awujoola
Journal Article: FUDMA Journal of Sciences
Volume 9(7), Pages 226-234
2025
Healthcare AI
Performance evaluation of efficientnetv2 models on the classification of histopathological benign breast cancer images
Abioye, O. A., Evwiekpaefe, A. E., & Awujoola, A
Journal Article: Science Journal of University of Zakho
Volume 12(2), Pages 208-214
2024
Healthcare AI
A Combined Approach Of Adasyn And Tomeklink For Anomaly Network Intrusion Detection System Using Some Selected Machine Learning Algorithms
Nige Salihu, MN Musa, AJ Olalekan
Journal Article: International Journal of Web Research
Volume 7(4), Pages 51-64
2024
Cybersecurity
Malware detection and classification using embedded convolutional neural network and long short-term memory technique
Enem, T. A., & Awujoola, O. J.
Journal Article: Science World Journal
Volume 18(2), Pages 204-211
2023
Cybersecurity
Generic hybrid model for breast cancer mammography image classification using EfficientNetB2
Abioye, O., Thomas, S., Odimba, C., & Awujoola, O. J.
Journal Article: Duke University Journal of Physical and Applied Science
Volume 9(3b), Pages 281-289
DOI: 10.4314/dujopas.v9i3b.30
2023
Healthcare AI
View PaperGenomic data science systems of prediction and prevention of pneumonia from chest X-ray images using a two-channel dual-stream convolutional neural network
Awujoola, O. J., Ogwueleka, F. N., Odion, P. O., Awujoola, A. E., & Adelega
Book Chapter: Data Science for Genomics (Academic Press)
2023
Healthcare AI
Wrapper-based approach for network intrusion detection model with combination of dual filtering technique of resample and SMOTE
Awujoola, O. J., Ogwueleka, F. N., Irhebhude, M. E., & Misra, S.
Book Chapter: Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities (Springer International Publishing)
2021
Cybersecurity
DOI: 10.1007/978-3-030-72236-4_6
View PaperImproved breast cancer detection in mammography images: Integration of convolutional neural network and local binary pattern approach
Awujoola, O. J., Aniemeka, T. E., Ogwueleka, F. N., Abioye, O. A., Awujoola, A. E., & Uwa, C. O.
Book Chapter: Machine Learning Algorithms Using Scikit and TensorFlow Environments (IGI Global)
2024
Healthcare AI
DOI: 10.4018/978-1-6684-8531-6.ch011
View PaperMachine learning–driven digital twins for precise brain tumor and breast cancer assessment
Awujoola, J. O., Enem, T. A., Ogwueleka, F. N., Abioye, O., & Awujoola, E. A.
Book Chapter: Advances in machine learning and healthcare applications (Wiley)
2024
Healthcare AI
DOI: 10.1002/9781394287420.ch21
View PaperResearch Impact & Recognition
Research Focus Areas
Connect with me online
Get in touch with me
I'm always interested in discussing research opportunities, academic collaborations, and innovative AI solutions. Let's connect and explore how we can work together.
Location
Nigerian Defence Academy PMB 2109, Kaduna, Kaduna State, Nigeria Directorate of ICT
Call Us
+234 803 705 3088 Call during business hours (9 AM - 5 PM WAT)
Email Us
ojawujoola@nda.edu.ng
mctelex@gmail.com
Send me an email for research collaborations or inquiries