Explain the difficult through the familiar.
A chai stall can explain OOP. A classroom can explain systems. A traffic jam can explain algorithms. The metaphor is not decoration; it is the bridge.
Academic Leader · Researcher · Innovator · Teacher
Ideas are meant to be understood, experienced and remembered.
The ideas behind the work
My work is not a collection of projects. It is a collection of beliefs.
Across engineering, education, AI, assessment and innovation, I keep returning to the same question: How can we make an idea easier to enter, harder to forget and more useful to apply?
Stop Teaching. Start Engaging.
Attention cannot be demanded into existence. Curiosity has to be designed, participation has to be invited, and learning has to become an experience.
Make the idea stick.
When an abstract concept becomes a picture, story, object or experience, knowledge gets an anchor. Good teaching creates that anchor.
A multidisciplinary journey
Different fields. One recurring instinct.
Mechanical engineering, CAD, bioinformatics, IoT, robotics, AI, generative AI and agentic systems may look like separate chapters. I see them as different ways of solving the same problem: understand complexity, then make it useful.
1987 →
Engineering
Mechanical engineering became the first language for understanding machines, systems and how things work.
1993 →
Visualising complexity
CAD and interactive graphics reinforced a lifelong instinct: if you can see a system, you can reason about it.
2005 →
Bioinformatics
Data, biology and computation widened the lens — complexity became something to model, connect and interpret.
NOW
Agentic learning
AI, education and assessment converge into systems designed not merely to automate work, but to improve how humans learn.
Ideas made tangible
Four living experiments. One philosophy.
TeachGenie, Engageneering, Assess-A-Thon and MARS explore the same territory from different directions: better teaching, deeper engagement, stronger assessment and resilient technology.
At a glance
A career shaped by curiosity.
The numbers matter. But what matters more is what they represent: decades of crossing disciplines, building things, asking questions and trying to make ideas travel.
3252Google Scholar citations
26h-index
46i10-index
38+years of professional journey
“The goal is not to make people admire the complexity. The goal is to make them understand it.”A philosophy that runs through teaching, research and innovation
Ideas in motion
Watch · think · learn.
TEDxIdeas worth
spreading▶
spreading▶
Speaking
TEDx & keynote ideas
Education, technology, curiosity and the future of learning.
BEYOND AIComputational
Thinking▶
Thinking▶
Engageneering
Thinking beyond coding
Patterns, decisions and problem solving hiding in everyday life.
NEW SERIESEk Cutting
Chai... OOPs!▶
Chai... OOPs!▶
The Everyday Decoder
Complex ideas, familiar stories
OOP, AI, algorithms and more — explained through things we already know.
Selected books
Eight books. Many intersections.
Getting Started for Internet of Things with Launch Pad and ESP8266
Cookbook for Mobile Robotic Platform Control
