Vision that understands.
Computer vision, multimodal AI and explainable video understanding through structured evidence.
Researcher. Engineer. Builder.
Hi, I’m
Intelligent ideas. Real-world systems.
Connecting computer vision, digital health and embedded engineering to build technology that understands the world.
Research StudentMohamed bin Zayed University
Electrical EngineeringUniversity of Moratuwa
I’m Nuwantha, a research student at Mohamed bin Zayed University of Artificial Intelligence and a final-year Electrical Engineering undergraduate at the University of Moratuwa.
I’m drawn to problems that connect intelligent software with the physical world: helping machines interpret video, connecting wearable data to meaningful health insights, and turning an idea into a working embedded system.
My work spans research and hands-on prototypes. I enjoy the whole process — asking the question, designing the system, building it, and learning from what happens next.
Computer vision, multimodal AI and explainable video understanding through structured evidence.
Connected wearables, physiological data and practical digital-health research.
Embedded systems, robotics, instrumentation and IoT — from a circuit to a connected prototype.
Research questions, working prototypes,
and ideas worth
exploring.
More experiments. More things in progress.
Explore my GitHub
The technologies I work with,
from models to microcontrollers.
Python · OpenCV · YOLO · MediaPipe · Vision-language models · Neo4j · Multimodal AI
Raspberry Pi · ESP32 · Arduino · STM32 · PCB design · Sensors & instrumentation
AWS IoT Core · Amazon S3 · MQTT · Node-RED · Wear OS · Spring Boot · MongoDB
C · Java · MATLAB · Simulink · LabVIEW · NI DAQ · SolidWorks · Git
A path shaped by research,
collaboration and hands-on
engineering.
Exploring intelligent systems at the intersection of computer vision, multimodal learning and digital health.
Final-year undergraduate. GPA: 3.60 / 4.00.
Supporting engineering communication and student-led initiatives. Broader EESOC contributions include EESPIRE 2025 and Spark Insight.
A shared drive for robotics, engineering challenges and turning ambitious ideas into working systems.
1st runner-upSLT-Mobitel TechNovation 2025 · AquaVac
1st runner-upIEEE ChallengeSphere Arduino Challenge 2024
Top 10ElectroCombat 2024
Continued learning in research, AI,
engineering and management.
Explore my publications and research writing
on my LinkedIn
profile.
Research, collaboration, or just an interesting idea?
I’d love
to hear from you. 👋
A research question, a project to build, or an opportunity to collaborate — send a note and let’s start there.