School of Engineering Researcher Profiles | Page 45

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AR-Enhanced Hydroponics for Indoor Smart Farming

Dr Nur Hazliza Ariffin Lecturer PhD Electrical , Electronics & Systems Engineering
Research expertise : IoT , augmented reality , embedded system , control systems , robotic design and digital signal processing
E : nur . hazliza @ monash . edu T : + 603 5514 6249
Indoor smart farming is transforming agriculture by utilising advanced technologies to optimise plant growth and productivity . Traditional methods often involve manual adjustments and physical monitoring , which can be inefficient and limited in scope . Moreover , the reliance on physical control panels and bulky equipment can pose challenges in terms of space and cost . As an innovative solution , this research explores the use of Augmented Reality ( AR ) to enhance hydroponic systems in indoor smart farming . By integrating real-time data from IoT sensors and utilising LEDbased artificial grow lights , this system offers a modern , efficient approach to farming . AR overlays real-time data and virtual controls onto a technician ' s field of view , allowing for seamless interaction and adjustment of the hydroponic environment .
The proposed system leverages machine learning algorithms to analyse data collected from various environmental parameters , such as light intensity , humidity , temperature , and nutrient levels . These insights are then visualised through AR , enabling technicians to make informed decisions and adjustments in real-time . This approach not only enhances the efficiency and effectiveness of hydroponic farming but also provides a user-friendly interface for continuous monitoring and optimization . This research holds significant potential due to its ability to provide non-contact , realtime feedback and visualisation , improving user engagement and understanding of system operations . Additionally , developing these AR techniques into a smartphone app would make the system more convenient and economical , facilitating widespread
adoption and further advancing the field of indoor smart farming .
Figure shows the progress of plant growth under the artificial light source .

Multi-Disciplinary Design Methodology for the Development of Product Innovation

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Dr Issac Lim Sing Sheng Lecturer PhD Mechanical Engineering
Research expertise : Product design , ecoefficiency , innovation , patent circumnavigation , creative pedagogy , entrepreneurship , TRIZ
E : lim . sing . sheng @ monash . edu T : + 603 5514 9659
The design stage in the product development process has the single largest effect on any product ’ s overall impact on the environment . Product designers need to be assisted with design support that will enable them to improve the eco-innovation of their design . Current design supports for eco-innovation focus on setting design targets but lacks in helping designers to develop actual design solutions .
The TRIZEE design methodology was developed and found to be usable by even designers with minimal design experience , applicable in improving the ecoinnovation of a diverse range of products , and effective for actual product development .
The projects undertaken at the Medical Engineering & Technology Hub are test lungs for mechanical
ventilators , smart masks for healthcare professionals , fall detection radar , non-invasive glucose monitor , Parkinson tremor control glove , and stair climbing knee brace . The aim is to enhance healthcare outcomes through creative and practical design solutions .
Another area of product development is smart manufacturing solutions . The ongoing projects are 3D printer filament recyclers , dynamic payload modules with swarm capabilities , autonomous winged drones with vertical takeoff and lift , and Industry Revolution 4.0 adoption framework software . The aim is to make smart manufacturing solutions accessible and scalable for small and medium sized enterprises .
The figure represents the TRIZEE design methodology framework
The figure represents the ongoing medical device projects
RESEARCHER PROFILE 2025 / 2026