🧠 Computer Science | AI | Cybersecurity | Digital Forensics | Systems

🔬 Research-driven systems builder exploring the intersection of artificial intelligence, cybersecurity, digital forensics, formal methods, and adaptive systems.

I design and investigate intelligent and secure computing systems, connecting:

theory → mathematical models → algorithms → experiments → working systems

My current research direction explores how AI, formal models, and cybernetic principles can contribute to adaptive intrusion detection, cybersecurity, and forensic reconstruction.

• Artificial Intelligence & Cybersecurity
• Digital Forensics & Cybercrime Investigation
• AI-Driven Intrusion Detection
• Forensic Reconstruction of Cyber Incidents
• Cybernetic & Adaptive Systems
• Formal Methods & Theory of Computation
• Machine Learning for Cybersecurity
• Explainable & Trustworthy AI
• Secure Systems Engineering
• Graph-Based Cybersecurity Models

• Cybernetic Theory Lab – Experimental and theoretical work connecting cybernetic systems with graph theory, information theory, control, learning, stochastic processes, and formal methods.

• AI Forensics – Exploration of artificial intelligence in digital forensic analysis, evidence interpretation, and cybercrime investigation.

• ML Cybersecurity – Machine-learning approaches to cybersecurity problems, including detection and classification.

• Web Vulnerability Research – Practical security research, vulnerability analysis, exploitation concepts, and mitigation.

• Systems Programming – C, Linux, memory, processes, and low-level computing concepts.

• Theory of Computation – Automata, formal languages, computational models, and their application to cybersecurity.

My current research direction investigates the possibility of combining:

Artificial Intelligence + Formal Models + Cybernetics + Digital Forensics

to develop systems capable of:

Observe
   ↓
Detect
   ↓
Model
   ↓
Adapt
   ↓
Respond
   ↓
Reconstruct
   ↓
Explain

The broader objective is to investigate how intelligent systems can move beyond simple detection toward adaptive cybersecurity and evidence-based forensic reconstruction.

• 📝 Medium – Research reflections, technical analysis, and learning notes 👉 https://medium.com/@mngugi7

• 🔐 Sentry Information – Cybersecurity, digital forensics, technology, and security analysis 👉 https://sentryinformation.wordpress.com/

• Artificial Intelligence in Cybersecurity
• Digital Forensics & Cybercrime
• Adaptive & Cybernetic Systems
• Formal Methods
• Theory of Computation
• Machine Learning
• Secure Systems Engineering
• Privacy & Trustworthy AI
• Web & Application Security
• Forensic Evidence & Reconstruction

• Developing the Cybernetic Theory Lab
• Investigating AI-driven intrusion detection models
• Exploring formal models for cybersecurity events
• Developing AI-assisted digital forensic concepts
• Studying automata and formal systems for security applications
• Building reproducible cybersecurity research environments
• Documenting practical security research and experiments

• Building research-grade systems at the intersection of AI, cybersecurity, and digital forensics
• Connecting computer science theory with practical security systems
• Developing mathematical and formal foundations for adaptive cybersecurity
• Exploring cybernetic approaches to intelligent security systems
• Building a public research portfolio through reproducible experiments and documentation