Profile Details

Create Project

★★★★★

☆☆☆☆☆

USD 30 /hr

★★★★★

☆☆☆☆☆

Hire MONDAY O.

Slovakia

USD 30 /hr

PhD Researcher in Explainable AI & Ontologies | Technical Editor for AI, Cybersecurity, and Computer Science

Profile Summary

I am a PhD candidate in Applied Informatics at Comenius University in Bratislava, specializing in ontology engineering, explainable AI, and cybersecurity. My research focuses on combining knowledge representation, graph neural networks, and probabilistic logic to develop interpretable malware detection systems. I have strong experience in academic writing, technical editing, literature reviews, and structuring complex AI and computer science manuscripts. I help researchers improve clarity, logical flow, and technical precision while maintaining academic rigor, particularly in artificial intelligence, knowledge representation, semantic technologies, and cybersecurity research.

Subject Matter Expertise

• ☆ Computational Biology
• ☆ Evolutionary Biology
• ☆ Biostatistics
• ☆ Computer Science
• ☆ Computer Hardware
• ☆ Information Technology
• ☆ Data Analysis
• ☆ Data Collection
• ☆ Neural Networks
• ☆ Artificial Intelligence
• ☆ Knowledge Management
• ☆ Plasma Technology
• ☆ Cybersecurity
• ☆ Information & Knowledge Management
• ☆ Computer Science Education

Services

• Research

Research User Research, Gap Analysis, Scientific and Technical Research, Systematic Literature Review

Work Experience

Research Assistant

Comenius University Bratislava

May 2024 - Present

Assistant Lecturer

Federal University of Health Sciences Otukpo

November 2021 - Present

Education

PhD Computer Science (Applied Informatics )

Comenius University Bratislava

May 2024 - Present

MSc Computer Science (Computer Science)

University of Jos

2018 - 2023

Certifications

• Certification details not provided.

Publications

PREPRINT

Monday Onoja, Peter Anthony, Zekeri Adams, Kefas Rimamnuskeb Galadima, Martin Homola, Štefan Balogh, Ján Kľuka, Roderik Ploszek, Temidayo Oluwatosin Omotehinwa, Abayomi Joshua Jegede (2026). Dynamic Features for Robust Malware Detection: A Systematic Review, Taxonomy, and Practical Analysis Framework .

CONFERENCE PAPER

Anthony, P., Galadima, K.R., Adams, Z., Onoja, M., Arp, D., Homola, M., Balogh, Š.(2026). Rule Extraction and Interaction-Aware Explainability for AI-Driven Malware Detection . Lecture Notes in Computer Science. 16144 LNCS. p. 137-155.

Onoja, M.(2025). Integrating Ontology and Graph Neural Network for Explainable Malware Detection . Ceur Workshop Proceedings. 4078. p. 33-38.

Monday Onoja, Abayomi Jegede, Jesse Mazadu, Gilbert Aimufua, Ayodele Oyedele, Kolawole Olibodum (2022). Exploring the Effectiveness and Efficiency of LightGBM Algorithm for Windows Malware Detection . 2022 5th Information Technology for Education and Development (ITED).

Onoja, M., Jegede, A., Mazadu, J., Aimufua, G., Oyedele, A., Olibodum, K. (2022). Exploring the Effectiveness and Efficiency of LightGBM Algorithm for Windows Malware Detection . Information Technology for Education and Development (ITED).

Onoja, M., Jegede, A., Mazadu, J., Aimufua, G., Oyedele, A., Olibodum, K.(2022). Exploring the Effectiveness and Efficiency of LightGBM Algorithm for Windows Malware Detection . Proceedings of the 5th International Conference on Information Technology for Education and Development Changing the Narratives Through Building A Secure Society with Disruptive Technologies Ited 2022.

Magaji, M.M., Jegede, A., Gurumdimma, N.Y., Onoja, M., Aimufua, G., Oloyede, A. (2022). Fast Tree Model for Predicting Network Security Incidents . Information Technology for Education and Development (ITED).

Magaji, M.M., Jegede, A., Gurumdimma, N.Y., Onoja, M., Aimufua, G., Oloyede, A.(2022). Fast Tree Model for Predicting Network Security Incidents . Proceedings of the 5th International Conference on Information Technology for Education and Development Changing the Narratives Through Building A Secure Society with Disruptive Technologies Ited 2022.

Monday Onoja Hybrid Approach with Bayesian Optimization for the Classification of Breast Cancer from Ultrasound Images .

BOOK CHAPTER

Monday Onoja, Peter Anthony, Kefas Rimamnuskeb Galadima, Zekeri Adams, Daniel Arp, Martin Homola, Štefan Balogh (2026). Rule Extraction and Interaction-Aware Explainability for AI-Driven Malware Detection .

JOURNAL ARTICLE

Monday Onoja, Temidayo Oluwatosin Omotehinwa, Rock Adeiza Ezekiel, Emmanuel Chizoba Omeye, Yakubu Aliyu Ibrahim (2025). Comparative Evaluation of Transformer-Based Models for Automated Short-Answer Grading . NIPES Journal of Science and Technology Research.

Monday Onoja, Abayomi Jegede, Ayotinde Fadele, Gilbert Aimufua, Ismaila Jesse Mazadu(2022). Trends and Future Directions in Automated Ransomware Detection . Journal of Computing and Social Informatics. 1. (2). p. 17--41. {UNIMAS} Publisher

Monday Onoja, Abayomi Jegede, Nachamada Blamah, Abinbola Victor Olawale, Temidayo Oluwatosin Omotehinwa(2022). EEMDS: Efficient and Effective Malware Detection System with Hybrid Model based on XceptionCNN and LightGBM Algorithm . Journal of Computing and Social Informatics. 1. (2). p. 42--57. {UNIMAS} Publisher

Monday Onoja, Abayomi Jegede, Nachamada Blamah, Abinbola Victor Olawale, Temidayo Oluwatosin Omotehinwa (2022). EEMDS: Efficient and Effective Malware Detection System with Hybrid Model based on XceptionCNN and LightGBM Algorithm . Journal of Computing and Social Informatics.

Monday Onoja, Abayomi Jegede, Ayotinde Fadele, Gilbert Aimufua, Ismaila Jesse Mazadu (2022). Trends and Future Directions in Automated Ransomware Detection . Journal of Computing and Social Informatics.

CONFERENCE POSTER

Monday Onoja, Marcus Musa Magaji, Abayomi Jegede, Nentawe Yusuf Gurumdimma, Gilbert Aimufua, Ayodele Oloyede (2022). Fast Tree Model for Predicting Network Security Incidents . 2022 5th Information Technology for Education and Development (ITED).