High-Performance Triboelectric Nanogenerator Based on Recycled Materials for Mechanical Energy Harvesting

High-Performance Triboelectric Nanogenerator Based on Recycled Materials for Mechanical Energy Harvesting

The growing need for emission-free energy has led to the development of triboelectric nanogenerators (TENGs), which convert mechanical energy into electricity. This project designs a high-performance TENG using polydimethylsiloxane (PDMS) and recycled graphene oxide (GO) from spent batteries. The eco-friendly GO/PDMS TENG can power LEDs, charge capacitors, and harvest energy from body movements. The study includes material fabrication and pilot deployment phases.
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Microbiological Environmental Monitoring Map Construction: A pilot study

Microbiological Environmental Monitoring Map Construction: A pilot study

The project focuses on analyzing pathogenic microbes, particulate matter (PM), and the physico-chemical properties of ambient air and wastewater at Vinhomes Ocean Park 1 by creating an open-access environmental monitoring map. This model could be applied in other areas to help detect and prevent respiratory and digestive diseases, improving residents' quality of life. With Vietnam’s air quality index and PM2.5 levels consistently above WHO standards, this project offers a solution for better monitoring and early prevention of disease and food poisoning outbreaks.
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An advanced AI-enabled HVAC control system: Towards greener and healthier indoor facilities in Vietnam

An advanced AI-enabled HVAC control system: Towards greener and healthier indoor facilities in Vietnam

Principal Investigators & Key Members:
Le Duy Dung
Heating, Ventilation, and Air Conditioning (HVAC) systems are pivotal in enhancing and maintaining indoor air quality, but consume a significant portion of the building's energy use. This project aims to develop an intelligent energy management platform called V-IndoorSMART for multi-user facilities (e.g. public rooms, labs, etc.) in buildings. The platform is designed to optimize HVAC operation by leveraging modeling, simulation, and AI technologies, ensuring thermal comfort for occupants while conserving energy consumption efficiency and maintaining indoor pollutants at permissible levels.
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High-Performance Triboelectric Nanogenerator Based on Recycled Materials for Mechanical Energy Harvesting

High-Performance Triboelectric Nanogenerator Based on Recycled Materials for Mechanical Energy Harvesting

As global energy demands rise, the need for emission-free sources is growing. Triboelectric nanogenerators (TENGs), invented in 2012, are key in energy harvesting by converting mechanical energy into electricity. This project focuses on designing a high-performance TENG using polydimethylsiloxane (PDMS) and graphene oxide (GO) synthesized from recycled battery graphite. The GO/PDMS TENG is efficient, reliable, and eco-friendly, capable of powering LEDs, charging capacitors, and driving devices. It can also be integrated into clothing and insoles to harvest energy from movements like walking and running.
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Green Serverless Computing for Resource-Efficient AI Training

Green Serverless Computing for Resource-Efficient AI Training

Principal Investigators & Key Members:
Kok-Seng Wong, PhD
As AI demand grows, there is a need for sustainable computation solutions for AI model training. Traditional servers consume significant energy, raising environmental and cost concerns, while serverless computing offers on-demand, scalable resources. This research explores using serverless computing to optimize AI training by reducing energy consumption and resource use.
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