Mr. SEYE EMMANUEL AKINSANYA

Assistant Lecturer | DEPARTMENT OF COMPUTER SCIENCE EXAMINATION OFFICER

Faculty of Computing · Department of Computer Science

Specialization Artificial Intelligence, Machine Learning, and Data Science.

Office: DEPARTMENT OF COMPUTER SCIENCE, FEDERAL UNIVERSITY OYE-EKITI, EKITI STATE

Phone: 08100381619

Email: seye.akinsanya@fuoye.edu.ng

Biography

Akinsanya Seye Emmanuel is an Assistant Lecturer in the Department of Computer Science at the Federal University Oye-Ekiti (FUOYE), Nigeria. He is an emerging researcher whose work focuses on advancing intelligent computing solutions to address contemporary challenges in cybersecurity, artificial intelligence, and data driven decision making. His academic interests span machine learning, deep learning, natural language processing, computer vision, blockchain technology, cryptography, cloud security, and computer networks.

His research has contributed to the development of explainable deep learning models for healthcare applications, including diabetic retinopathy prediction, as well as machine learning approaches for weather forecasting. He has also published scholarly works on blockchain technologies, elliptic curve cryptography, cloud computing security, and multilingual natural language processing, demonstrating a multidisciplinary approach to solving complex computational problems.

Akinsanya is committed to conducting impactful research that bridges theoretical innovation with practical application. His work emphasizes the design of secure, efficient, and intelligent systems capable of improving decision making across diverse sectors, including healthcare, environmental monitoring, and information security. As an academic, he is passionate about teaching, mentoring students, and promoting collaborative research that contributes to scientific advancement and technological innovation. He continues to expand his research portfolio through interdisciplinary collaborations and the application of emerging technologies, with the goal of developing trustworthy artificial intelligence and secure computing solutions that address both national and global challenges.

Research Interests

Machine Learning, Explainable Artificial Intelligence (XAI), Deep Learning, Computer Vision, Natural Language Processing, Cybersecurity, Information Security, Cryptography, Blockchain Technology, Cloud Security, Computer Networks, and AI Applications in Healthcare.

Qualifications

• BSc. Computer Science, Federal University Oye-Ekiti (2021)
• MSc. Computer Science, Federal University Oye-Ekiti (2025)

Selected Publications

1. ENHANCING CONTENT-BASED RECOMMENDER SYSTEMS WITH SELECTKBEST FEATURE SELECTION AND SVD-BASED CLASSIFICATION
   Authors: O Folorunsho, OA Fagbuagun, EM Durojaiye, SE Akinsanya, SO Michael
   JOURNAL OF INNOVATION SCIENCE AND TECHNOLOGY (2025)
2. Detection of Heart Disease Using Binary Classification Machine Learning Model
   Authors: AG Abiodun, KU Obumneme, SE Akinsanya, SU Chinaemerem
   International Information and Engineering Technology Association (IIETA) (2025)
3. Explainable ensemble deep learning model for predicting diabetic retinopathy based on APTOS 2019 eye pack dataset
   Authors: O Folorunsho, SE Akinsanya, OA Fagbuagun, SA Mogaji, SK Raji
   LAUTECH Journal of Engineering and Technology (2025)
4. Steganalysis of an Image-Based Semantic Segmented and Binary Pattern Complex Stego File Using RNN And DenseNet
   Authors: JN Ugwu, TT Odufuwa, SE Akinsanya, KV Fajembola
   FUOYE Journal of Pure and Applied Sciences (FJPAS) (2024)
5. Comparative Analysis of Different Multilevel States for Four Notable Cryptographic Schemes
   Authors: JN Ugwu, SA Mogaji, SE Akinsanya, JO Awoyemi, JC Obi
   Researchers Journal of Science and Technology (2024)
6. Comparative analysis of eight different blockchain technology schemes and their implementations
   Authors: JN Ugwu, JB Hassan, SE Akinsanya, BA Ayogu
   University of Ibadan Journal of Science and Logics in ICT Research (2024)
7. Legend at araieval shared task: Persuasion technique detection using a language-agnostic text representation model
   Authors: O Ojo, O Adebanji, H Calvo, D Dieke, O Ojo, S Akinsanya
   Proceedings of ArabicNLP 2023 (2023)
8. Elliptic Curve Cryptography Performance Evaluation for Securing Multi- Factor Systems in a Cloud Computing Environment
   Authors: GO Ogunleye, SE Akinsanya
   Iraqi Journal of Science (2022)
9. EKSU JOURNAL OF SCIENCE AND TECHNOLOGY (EJST): Systematic Comparative Analysis of Mobile Adhoc Network Routing Protocols
   Authors: SA Mogaji, SE Akinsanya, TT Odufuwa, MV Ige
   JOURNALS OF EKITI STATE UNIVERSITY, ADO EKITI, EKITI STATE (2022)

Paper Presentation - Local

• Optimising Prostate Cancer Prognosis Through Feature Selection-Driven and Interpretable Machine Learning on High-Dimensional Genomic Data - Conference/International Science Conference 2026/Federal University Oye-Ekiti (2025)

Photo Gallery / Picture Evidence