Dr. Michael Matonya

PhD, PEng.(T) · Licensed Industrial Process Engineer

Better manufacturing through engineering and AI

I help manufacturers improve productivity and reduce environmental impact using industrial engineering and AI.

For the current publication record and citation metrics, visit my Google Scholar profile.

Engineering · Research · Education

Connecting industrial problems with data and learning.

My work brings together industrial process engineering, process mining and artificial intelligence. This website connects that research with opportunities for collaboration and a dedicated learning space for my students.

Explore engineering expertise

Understand the process

Map how work actually moves through a production system. Use event data to investigate bottlenecks, traceability and conformance.

Support better decisions

Explore modelling, optimisation and machine learning in relation to productivity, quality and environmental impact.

Build practical understanding

Connect theory to worked examples, visual explanations and independent practice in engineering education.

A dedicated space for students

Dr. Matonya E-learning

Prepare before class, participate during lessons and practise afterwards. Access subject notes, teaching slides, interactive exercises and quizzes through your student account.

Learning materials are private. Registration requires lecturer approval, and students receive access only to their assigned subjects.

Enter E-learning Explore the subject catalogue

Fluid Mechanics

Understand flow, pressure and the behaviour of fluids through worked problems and practical learning.

Registered students

Industrial Automation

Connect control principles to PLC logic, CNC programming and industrial systems.

Registered students

Artificial Intelligence

Explore how intelligent systems learn, solve problems and support engineering decisions.

Registered students

Engineering Maintenance

Build a systematic approach to equipment reliability, maintenance planning and fault diagnosis.

Registered students

Choose your path

What brings you here?

I'm here for research

Explore publications, methodologies, and collaboration opportunities in process mining and sustainable manufacturing.

Visit Research

I want to collaborate

Looking for a research partner, technical reviewer, or industry consultant. Let's talk about your project.

Get in Touch

I need credentials

View the full CV, download a PDF, and verify academic qualifications and professional registrations.

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Research in action

A closer look at the evidence

One featured study: the challenge it examines, what it found, and the supporting paper.

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Methodology demonstration using illustrative scenarios. No live factory data is connected.

Interactive Methodology

From production data to better decisions

Understand where production slows down, compare improvements, and choose a practical balance between productivity and environmental impact.

01
Understand
Use production records to identify delays, waste, and missed quality checks.
02
Compare
Evaluate changes against cost, production time, and environmental impact.
03
Decide
Choose an improvement that fits the factory’s priorities and constraints.