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IJSTEM-Cover
International Journal of Science, Technology, Engineering & Mathematics

ISSN 2799-1601 (Print) 2799-161X (Online)

Dr. Thomas Kinyanjui Njoroge

Akda Award Editors' Choice
Karatina University
Kenya

Lecturer

Dr._Thomas_Kinyanjui_Njoroge

Winning article

Edge-optimized multimodal cross-fusion architecture for efficient crop disease detection

https://doi.org/10.53378/ijstem.353186

International Journal of Science, Technology, Engineering & Mathematics, Volume 5 Issue 2, June 2025

Author profile

Dr. Thomas Kinyanjui Njoroge is an Artificial Intelligence expert, data scientist, full-stack developer, and technology consultant with extensive experience in software engineering, systems security, and intelligent systems design. He holds a PhD in Artificial Intelligence, a Master of Science in Information Technology specializing in Software Engineering and Systems Security, a Bachelor of Science in Applied Business Computing from the University of Sunderland, a Bachelor of Science in Information Technology, and a Higher Diploma in Information Systems. He serves as the Director of Quanty Host Limited, a consultancy firm providing advanced solutions in AI integration, cloud computing, cybersecurity, enterprise software development, and intelligent automation. Over the years, Dr. Njoroge has developed and deployed scalable applications, secure digital architectures, and AI-enabled platforms across multiple sectors. His portfolio includes building predictive analytics models for business intelligence, engineering AI-driven fraud detection systems, developing computer vision solutions for industrial quality inspection, designing intelligent NLP chatbots, implementing robotics automation frameworks using ROS, creating smart IoT home automation systems powered by edge AI, constructing cybersecurity threat intelligence engines, developing autonomous drone navigation systems using computer vision, and designing data-driven agricultural monitoring systems that integrate sensors with machine learning. His research interests span explainable AI, robotics, deep learning, natural language processing, embedded systems, cybersecurity intelligence, and data-driven innovation. Dr. Njoroge is committed to advancing intelligent automation, ethical AI, and high-impact digital solutions for business, industry, and society.

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