About ALIU Olaniyi Habib

Lecturer II|B.ENG (Computer Engineering), M.ENG (Computer Engineering)

School

SCHOOL OF ENGINEERING

Department

Computer Engineering

Programme

National Diploma & Higher National Diploma

Research Interest

Artificial Intelligence, Machine Learning, Computer Vision, Data Analysis

Teaching Areas

Electronic Design and Prototyping, Computer Hardware System Design, Introduction  to Computers and Information Technology, Electrical Measurement and Instrumentation I, Computer Hardware I

Selected Publications

Olasina, J. R., & Aliu, O. H. (2026). Mobile application–based management of student industrial work experience scheme (SIWES) in engineering education (pp. 66–92). In B. Idrizi (Ed.), Internet of things and artificial intelligence: Modern applications. Halic Publishing House. https://doi.org/10.5281/zenodo.18380540
Aliu, O. H., & Akinleye, O. A. (2025). A soft membership prediction model for partial facial expression recognition employing CNN and fuzzy logic. In M. Asilsoy (Ed.), Intelligent systems and applied AI: Innovations in robotics, vision, health, and digital transformation (pp. 183–202). Liberty Publishing House. https://doi.org/10.5281/zenodo.16927850
Olasina, J. R., and Aliu, O.H. (2025). Fuzzy-Enhanced Lightweight CNNs for Culturally Relevant Food Classification: Advancing Assistive Technology for Visually Impaired Nigerians. Systemic Analytics, 3(3), 164-176. https://doi.org/10.31181/sa33202553
Adaramola, O. J. and Aliu, O. H. (2025). Evaluating the Impact of Denial-of-Service (DoS) Attacks on Enterprise Networks Using Optimized Network Engineering Tools (OPNET 14.5) and Machine Learning. International Journal of Scientific Research in Network Security and Communication (IJSRNSC). Vol.13, Issue.2, pp.01-11, ISSN: 2321-3256 (Online) . Available online at: http://www.ijsrnsc.org
Aliu, O.H. and Olayiwola, J. O. (2025). Detection and Avoidance of Early Flood using Internet of Things (IoT). International Journal of Women in Technical Education and Employment (IJOWITED).Vol. 6 (1). pp:31-37. ISSN:2811-1567      URL: http://fpiwitedjournal.federalpoylilaro.edu.ng
Olasina, J. R. and Aliu, O. H.  (2024). Development of Convolutional Neural Network (CNN)-Based Automatic Food Classification (AFC) Model for Visual Impairments of Nigerians. Applied Mathematics, Modeling and Computer Simulation C.-H. Chen et al. (Eds.). pp. 316-324 (Scopus Indexed).
Olasina, J. R. and Aliu, O. H.  (2024). Mathematical Modeling and Simulation of Composite Wireless Channels for QAM Based Image Transmission and Datasets Generation. Applied Mathematics, Modeling and Computer Simulation C.-H. Chen et al. (Eds.). pp. 606-615 (Scopus Indexed).
Olayiwola, J.O and Aliu, O.H. (2022). Cellphone Network Jammer Circuit Using NE555 Timer. International Journal of Women in Technical Education and Employment (IJOWITED).Vol. 3 (1). pp:164-171. ISSN:2811-1567      URL: http://fpiwitedjournal.federalpoylilaro.edu.ng
Akingbade, L.O. and Aliu, O.H. (2022). A review on Repair and Maintenance of a Wireless Network-Based System. International Research Journal of Modernization in Engineering Technology and Science (IRJETS).  Vol. 4(10)   Pp. 1612-1618.  ISSN (Online): 2582-5208. 

Conferences Attended

Aliu, O. H., and Olayiwola, J. O. (2026). Predicting Extreme Events Caused By Climate Change In Nigeria Using Machine Learning And Reanalysis Of Climate Data. 15th International Zeugma Congress On Scientific Research. 19-21st, January 2026 / Gaziantep, Türkiye
Aliu, O. H., and Olasina, J. R. (2025). A Streamlined Machine Learning Method For Predicting Urban Heat Island Intensity In Nigerian Cities Using Environmental And Demographic Factors. The 5th International World Energy Conference (IWEC). 12–13th, December, 2025 / Kayseri,Türkiye
Aliu, O. H., and Olasina, J. R. (2025). Assessing The Ethical And Environmental Implications Of Energy Consumption In Machine Learning Training. The 6th International Ethics Congress, Ankara, Turkiye. 8th-9th, December, 2025.
Aliu, O. H., and Olasina, J. R. (2025). Integration Of Clinical Biochemistry And Machine Learning In Improving Diagnostic Accuracy Of Human Liver Disorders. The 4th International Congress Of Veterinary Biochemistry And Clinical Biochemistry. September 04-07, 2025 / Sivas, Türkiye 
Aliu, O. H., and Olasina, J. R. (2025). Exploring Artificial Intelligence In Creative Digital Art Design With Publicly Available Image Datasets. The International Art and Design Symposium, Istanbul Arel University, Istanbul, Turkiye. 24th-25th, October, 2025.
Olayiwola, J.O. and Aliu, O. H. (2025). Prediction of Fungal Risk Due to Leaf Wetness using Machine Learning Algorithms. International Congress on Rangeland & Forage Crops-III, Aydin Adnan Menderes University, Didim, Turkiye. 12th-14th, September, 2025.
Olorunnipa, S. O. and Aliu, O. H. (2025). Enhancing Public Service Delivery With Artificial Intelligence: Policy Opportunities And Challenges In Developing Nations. The 18th ISPEC International Conference on Agriculture, Animal Science & Rural Development, Necmettin Erbakan University, Konya, Turkiye. 24th-26th, October, 2025.
Ogunyinka, O. I. and Aliu, O. H. (2025). A Comparative Analysis Of Lightweight Convolutional Neural Network Architectures For Accurate Poultry Disease Identification. The 7th International Congress On Innovative Approaches In Scientific Research, Åžanlıurfa, Turkiye. 19th-21st, October, 2025. 
Ogunyinka, O. I. and Aliu, O. H. (2025). Investigating an Enhanced Deep Learning Ensemble Model for Automated Poultry Disease Detection Using Multi-Stage Lightweight CNNs. A paper presented at the 5th International Conference, on Food Security and Agriculture Transformation: Innovations and Strategies for Sustainable Economic Growth. The Federal Polytechnic Ilaro, Ogun State, Nigeria in collaboration with Ecole Polytechnique Universite D’Abomey-Calavi, Cotonou, Republic of Benin. 27th-30th April, 2025.
Olasina, J. R. and Aliu, O. H.  (2025). Fuzzy-Enhanced Lightweight CNNs for Culturally Relevant Food Classification: Advancing the Assistive Technology for Visually Impaired Nigerians. 1st International Society of Fuzzy Sets Extensions and Applications Conference (ISFSEA). 5th - 6th May, 2025.
Aliu, O. H. and Olayiwola, J. O. (2025). Evaluating the Effectiveness of Digital Teaching Methods on Student Academic Performance in Tertiary Institutions. International Scholarship of Teaching and Learning Congress, Istanbul, Turkiye. 18th - 20th April, 2025.
Olasina, J. R. and Aliu, O. H.  (2025). Engineering an Automated Model for Food Classification (CNNAFCM) Based on Pictures of Nigeria Indigenous Lunches with the Purpose of AI in Agriculture. 4th SIVAS international Conference on Scientific and Innovation Research, Turkiye. 30th-31st May, 2025.
Aliu, O. H. and Akinleye, O. A. (2025). Impact Of Cybercrime On Academic Achievement Among Tertiary Institution Students In Ogun State, Nigeria. International Ohrid Scientific Researches And Innovation Congress, North Macedonia. 8th - 9th March, 2025.
Aliu, O. H. and Olayiwola, J.O. (2025). Artificial Intelligence’s Role In International Security And Crisis Management. 6th International Conference on Globalization and International Relations, New York, USA. 3rd  March, 2025.
Aliu, O. H. and Olayiwola, J.O. (2025). AI-Driven Biochemical Carbon Sequenstration Strategies Using Deep Learning And Remote Sensing. EJONS 18th International Congress: Artificial Intelligence Trends: Theory to Practice, New Delhi. 10th -11th February, 2025.
Olasina, J. R. and Aliu, O. H. (2024). Design and Implementation of a Genetic-Algorithm-based Automatic Time Tabling System. 2nd National Conference of Nigerian Society of Engineers, Ilaro Branch on Emerging Technologies and Innovations: Ingredients For the Next Generation Engineering Revolution. 18th - 21st August, 2024.
Olayiwola, J.O. and Aliu, O. H. (2023). Waste Management with the Application of Deep Learning. 6th School of Engineering National Conference on Enhancing Indigenous Engineering and Technical Innovations for National Development. The Federal Polytechnic Ilaro, Ogun State, Nigeria. 7th- 9th August, 2023.
Aliu, O. H. and Olayiwola, J. O. (2023). Classification of Driver Drowsiness Detection Using a Lightweight Neural Network Model. A paper presented at the 4th International Conference, The Federal Polytechnic Ilaro, Ogun State, Nigeria in collaboration with Tarkoradi Technical University, Takoradi, Ghana. 3rd- 7th September, 2023.
Aliu, O. H. and Olayiwola, J. O. (2022). Digital Marketing and Its Impact on Society. 2nd National Conference of School of Communication and Information Technology on Emerging Trends in Information and Communication Practices For Societal Advancement. The Federal Polytechnic Ilaro, Ogun State, Nigeria. 19TH-22TH July, 2022.
Aliu, O. H. and Adamu, D. (2022). Bitcoin Mining Technologies and Their Effect As a Form of Investment. 3rd International Conference on Revamping the Economy: The TVET Perspectives. The Federal Polytechnic Ilaro, Ogun State, Nigeria. 16th-17th August, 2022.
Aliu, O. H. and Akingbade L.O. (2021). 3D Printing Technologies and it’s Application in Engineering. 5th National Engineering Conference on Impact of Engineering and Technological Advancement Towards achieving SDG 2030 In Nigeria. The Federal Polytechnic Ilaro, Ogun State, Nigeria. 08TH-10TH November, 2021.

Summary of Profile

Mr. Aliu, Olaniyi Habib is a Lecturer II in the Department of Computer Engineering at The Federal Polytechnic, Ilaro, Nigeria. He holds an M.Eng. in Computer Engineering from the Federal University, Oye-Ekiti, and a B.Eng. from Ekiti State University. He is a registered member of the Nigerian Society of Engineers (NSE). His research focuses on Artificial Intelligence, Machine Learning, Internet of Things (IoT), Data Analysis, and Network Security. He has published widely in peer-reviewed journals and presented papers at international conferences across Europe, Asia, and Africa. His recent works explore deep learning models, climate change prediction, assistive technologies, and AI applications in agriculture and healthcare. He is passionate about innovative research, engineering education, and the practical application of emerging technologies to solve real-world problems.