I work at the intersection of mechanical engineering, technology education research, and engineering systems development — translating applied research into practical, well-engineered outcomes.
Core Practice
Each pillar reinforces the others: engineering judgment shapes the systems I build, those systems raise the questions I research, and that research feeds back into how I engineer.
Grounded in core mechanical principles — design, materials, and applied mechanics — carried through into every system I build.
Engineering principles, research, and systems development working together from problem definition to practical application.
Studying how technical and engineering knowledge is taught, understood, and applied, to make complex systems teachable.
Building the practical systems that connect engineering theory to working, testable outcomes in the field.
Research that informs practice.
Systems that create impact.
Education that transforms.
Harun Lucas — Workstation
My work sits between the workshop and the classroom. As a mechanical engineer, I design and build practical systems; as a technology education researcher, I study how that knowledge is best taught and understood; and as a systems developer, I turn both into working, testable tools.
This site documents that practice — the research, the projects, and the systems that connect them.
Focus Areas
My research sits across three connected areas — each feeding practical engineering systems and the way they are taught.
Thermodynamic optimization of energy systems, including working-fluid selection and heat-recovery configuration for industrial applications.
Applying data-driven and AI-based methods to condition monitoring, early fault detection, and maintenance decision-making.
How engineering and technical concepts are best taught — curriculum design, applied projects, and hands-on learning methods.
Hotspot Management System
A hotspot management system featuring voucher authentication, internet packages, active-session monitoring and shared bandwidth allocation across multiple access points.
Engineering AI Research
Applying artificial intelligence and data-driven methods to monitor equipment condition, predict faults before they occur, and support maintenance decision-making.
Engineering Systems / Technology Education
Exploring Python-driven CNC automation and G-code workflows to strengthen practical, hands-on engineering learning.
Commercial websites, software and business systems are delivered through HarunLucas Dev.
Every project follows the same disciplined path — from open research questions to tested, practical systems.
Research
Exploring open questions and prior work
Problem Definition
Framing the real constraint to solve
System Design
Architecting the approach and components
Development
Building the working implementation
Testing
Verifying behaviour against requirements
Practical Application
Deploying into real, working systems
Alongside engineering practice, I research how technical and engineering concepts are taught and learned — developing curriculum, applied projects, and teaching methods that hold up in both the classroom and the workshop.
Connecting classroom learning, workshop practice, and digital tools into one teachable framework.
View Educational ResearchFramework
Structuring what and how technical topics are taught
Testing teaching methods in real classroom and workshop settings
Studying how students engage with technical concepts
Translating complex ideas into clear, teachable form
How manufacturers can connect legacy machines using IoT sensors, gateways, cloud dashboards, analytics, and phased modernization strategies.
Read Article
Comparing preventive and predictive maintenance strategies — costs, benefits, and how to choose the right approach for industrial equipment.
Engineering thinking brings structure, reliability, testing, and lifecycle awareness to digital product development.
I'm open to research partnerships, engineering collaborations, and technology education initiatives.
