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SEGi TECHNOVATION 2026
Celebrating Student Innovation with Real-World Impact
As part of SEGi TECHNOVATION 2026, the TECHSIC: TECHNOVATION Student Innovation Competition recognised outstanding student projects that demonstrated creativity, practical application and meaningful contribution to society.
The competition highlighted how students from the Faculty of Engineering, Built Environment and Information Technology are applying technical knowledge to address real challenges in sustainability, construction efficiency, water treatment, agriculture and smart technology.
Through the showcase, students presented their research, prototypes and solutions to academic and industry audiences, gaining valuable feedback while strengthening their confidence, communication skills and professional readiness.
Innovation and Creativity Excellence
Gold Award Recipient: Ngeow Quan Juen
Research Title: Breakthrough Curve Analysis and Fixed Bed Modelling of Immobilised nanoFeCu for Ammonia Removal
Supervisor: Ir. AP. Dr. Chan Mieow Kee
This award-winning project explores a more efficient approach to removing ammonia from wastewater using immobilised nanoFeCu in a continuous fixed bed system. Ammonia pollution remains a serious environmental and public health concern, particularly when it affects water resources and supply systems.
The project studied how different operating conditions, including bed height and flow rate, influenced ammonia removal efficiency. Through experimental analysis and predictive modelling, the system achieved complete ammonia removal for up to 2 hours and 23 minutes, demonstrating strong potential for future scale up and industrial application.
What makes this project significant is its ability to move nanomaterial based treatment beyond small-scale testing into a more practical continuous flow process. Compared to conventional biological treatment methods, the proposed system offers faster treatment performance and improved operational stability.
Application and Functionality Excellence
Gold Award Recipient: Lionel Mashagiro
Research Title: AI and BIM for Next Generation Construction Efficiency: A Case Study on Automated MEP Quantity Takeoffs
Supervisor: Chan Joo Aik
This project addresses a common challenge in the construction industry: the time consuming and error prone process of manual Mechanical, Electrical and Plumbing quantity takeoffs.
By integrating Artificial Intelligence with Building Information Modelling data, the project developed an automated system that can identify, classify and quantify MEP components more efficiently. The system uses Python tools, Industry Foundation Classes files and deep learning methods to improve accuracy and reduce inconsistencies often found in manual interpretation.
The project demonstrates how AI can support the future of construction by improving workflow efficiency, reducing duplication and assisting with engineering quality control. It also reflects the growing importance of digital transformation in the built environment sector.
Impact and Relevance: Sustainable Development Goals
Gold Award Recipient: Shanthi Thanapalan
Research Title: An Economic, Energy Efficient and Intelligent Irrigation System
Supervisor: Chong Hock Siong
This project introduces a smart irrigation system designed to support sustainable agriculture by reducing water wastage and improving crop monitoring.
Using an ESP32 microcontroller, soil moisture sensors, temperature and humidity sensors, water level sensors and IoT connectivity, the system monitors environmental conditions in real time and delivers water only when needed. This helps address the issue of excessive freshwater consumption in agriculture, where traditional irrigation methods often lead to unnecessary wastage.
The project also integrates solar power and AI enabled visual monitoring. Through an ESP32 AI camera and Gemini API, the system can analyse plant health and detect insect presence, providing farmers with useful insights through a mobile interface.
By combining IoT, AI and renewable energy, this project presents a practical and sustainable solution for modern farming. It supports resource efficiency, energy sustainability, operational safety and smarter decision making in agriculture.