
UNIFIED SENSOR & MONITORING TECHNOLOGY (USMTECH)
This website showcase, explain and share the technology develop within research centre and how the team can help solving industrial problems

This website showcase, explain and share the technology develop within research centre and how the team can help solving industrial problems

Think of tiny, smart gadgets with “eyes” (sensors) that constantly watch our surroundings – rivers, air, soil – for things like pollution, radiation, and weather changes. These gadgets use “brains” (IoT tech) to send the information they gather wirelessly to a central point, like Pusat Racun Negara, so experts can see what’s happening instantly and respond quickly to any problems.

Dr. Muaz Mohd Zaini Makhtar at Universiti Sains Malaysia (USM) is a leading researcher in Microbial Fuel Cells (MFCs), which use microorganisms to turn waste, like dewatered sludge, into electricity. He focuses on simpler, cheaper membrane-less MFC designs and uses co-cultures of bacteria to boost energy production. By adding IoT technology, he enables real-time monitoring and optimization of the energy recovery process. Dr. Muaz’s work shows that MFCs can both treat waste and create valuable energy.

Epidemic Intelligence Program (EIP) of Malaysia. This program was established in 2002 to enhance disease control within the country. It is a unique, two-year, in-service training program focused on field epidemiology. The program’s curriculum includes a combination of practical, on-the-job training and theoretical coursework, covering topics such as situational analysis, surveillance evaluation, and outbreak management. The website also provides access to course-related materials.

THE BEST
TECHNOLOGY SOLUTION FOR INDUSTRIES
OUR SOLUTION ON HEALTH
Our work leverages IoT and machine learning to revolutionize indoor air quality (IAQ) management. Systems like ThermoHygroSense use IoT sensors to continuously monitor critical IAQ parameters, including temperature, humidity, and pollutant levels. However, these systems go beyond simple monitoring by applying machine learning to identify patterns and predict potential IAQ issues, such as conditions that may lead to Sick Building Syndrome, before they escalate. This data can then be used to drive personalized environmental controls, adjusting building systems to create healthier and more comfortable environments for occupants. Furthermore, machine learning models can be trained to detect anomalies in the data, enabling the early detection of specific health risks like mould growth or poor ventilation. LEARN MORE


OUR SOLUTION ON ENVIRONMENT AND SUSTAINABILITY
Dr. Muaz’s MFC research offers a number of important benefits. MFCs can treat waste and create electricity at the same time, making waste management more sustainable. They also produce renewable energy, which reduces our dependence on fossil fuels. His focus on membrane-less designs makes the technology cheaper, and the use of bacterial co-cultures makes it more efficient. The integration of IoT allows for real-time monitoring and control, and MFC technology turns waste into a valuable resource. LEARN MORE

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