John Adejoh

Designation:

Lecturer 

Specializations:

• Cybersecurity,

• Artificial Intelligence,

• Machine Learning,

• Deep Learning

• IoT

• Large Language Model

John Adejoh

PhD (in view) in Computer Science @ African University of Science and Technology

MSc in Information Security @ Collège de Paris, France

BSc in Computer Science @ Federal University Lokoja, Nigeria

ORCID: https://orcid.org/0009-0007-6133-6092

Google Scholar: https://scholar.google.com/citations?hl=en&user=puWz_0EAAAAJ

Scopus: https://www.scopus.com/authid/detail.uri?authorId=58847440800

Web of Science: https://www.webofscience.com/wos/author/record/KZU-4469-2024

ajohn@staff.aust.edu.ng

Courses (Being taught at AUST):

• Software Testing and Quality Assurance

• Machine Learning Techniques

• Computer Network and Communication

• Web Application Development

• Programming I & II

• Introduction to Software Engineering

• Software Configuration and Management

• Introduction to Cyber Security and Strategy

John Adejoh  Publications:

• Enhanced Malware Detection through API Call Sequence Analysis: A GRU-GAN Model Approach (Future Internet, 2024)

• Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach (Big Data and Cognitive Computing, 2024)

• An Adaptive Unsupervised Learning Approach for Credit Card Fraud Detection (Big Data and Cognitive Computing, 2025)

• Static and Dynamic Malware Analysis Using CycleGAN Data Augmentation and Deep Learning Techniques (Applied Sciences, 2025)

John Adejoh Notable Achievements:

• Recognition at IT Security Postgraduate Colloquium (ISPC), Paris (2021): for publication in Q1/Q2 Journal.

• EC-Council Accredited Trainer and Lecturer: recognized for excellence in cybersecurity education.

• Certified CISCO Instructor, Cybersecurity and Data Science Professional: with expertise in ethical hacking, forensics, Network automation, Malware Analysis, DevNet, DevOps and Secured Artificial Intelligence.