Mr. SEYE EMMANUEL AKINSANYA photograph
FUOYE Academic Staff Profile

Mr. SEYE EMMANUEL AKINSANYA

Assistant Lecturer

Department of Computer Science, Faculty of Computing

Area of Specialization: Artificial Intelligence, Machine Learning, and Data Science.

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

DegreeInstitutionYear
BSc. Computer ScienceFederal University Oye-Ekiti2021
MSc. Computer ScienceFederal University Oye-Ekiti2025

Paper Presentation - Local

Optimising Prostate Cancer Prognosis Through Feature Selection-Driven and Interpretable Machine Learning on High-Dimensional Genomic Data Β· 2025

Conference/International Science Conference 2026/Federal University Oye-Ekiti

Selected Publications

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 β€’ 2025

Open publication

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) β€’ 2025

Open publication

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 β€’ 2025

Open publication

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) β€’ 2024

Open publication

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 β€’ 2024

Open publication

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 β€’ 2024

Open publication

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 β€’ 2023

Open publication

Elliptic Curve Cryptography Performance Evaluation for Securing Multi- Factor Systems in a Cloud Computing Environment

Authors: GO Ogunleye, SE Akinsanya

Iraqi Journal of Science β€’ 2022

Open publication

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 β€’ 2022

Open publication

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