School of Science & Technology - Research Clusters
Smart Cities: Cutting-Edge research for the benefit of Vietnamese cities
The School of Science & Technology's overall research focus is the “Smart City”. This is an intelligent, user-friendly adaptive urban system with interconnected elements and a strong relationship between all stakeholders, such as people, government, infrastructure and business.
The benefits of smart cities are the innovative ways to solve community problems through the rapid development of technology, with communication as a fundamental element.
The main benefits from the smart cities are:
- Reduction of resources consumption, particularly water and energy with lower emissions
- Higher utilisation of existing infrastructure resulting in improved quality of life
- Shorter and easier ways to develop and introduce modern services
- Improvement of commercial enterprises by utilising the real-time status of the city and its infrastructure
- Improvement of the city environment through the analysis of the peak usage of resources and transport in order to smooth these peaks through appropriate government solutions.
This research theme greatly benefits Vietnam, as it provides a deep understanding of the nature of Smart Cities and gives a fundamental strategy to convert cities in Vietnam to the Smart City concept.
Engineering and IT Education: Innovating Educational Methodologies for the Benefit of Vietnamese Higher Education System
The speed and richness of communications brought by the Internet necessitates new educational innovations that move away from the traditional classroom. New methods, such as Project Based Learning, have great potential in dramatically improving Engineering and IT education in Vietnam. The School of Science & Technology is actively conducting research in new educational methodologies in the face of a changing world.
1. Intelligent Load Management with Battery-Ultracapacitor Storage System
Intelligent electrical load management system is one of the key approaches for an overall energy management system for modern microgrids, as a way to improve the usage of renewable energy generation and utilisation. Research shows that the a proper load sharing approach may provide energy savings of up to 15%. There are several different approaches that can be implemented for load management strategies using various controllers.
This project is aimed at custom construction, programming and testing of an intelligent load management system, which can be applied to manage DC Microgrids and, at the same time, can be assumed as an advanced energy management system for Electric Vehicles (EV).
2. Approaches, Spaces and Perceptions: Implementing the Project Based Learning (PBL) Model in a Vietnamese Transnational Education Context in Technology
Researchers investigate a methodology for educators to resolve challenges in adopting the Project Based Learning (PBL) model for technology students transitioning to higher education in a first year course. The project employs a transnational educational approach, such as RMIT University Vietnam, and more generally in the regional context.
The work also explores students’ approaches to learning and their perceptions on PBL, with the emphasis on the early stage of their higher education. Further understanding on this topic will support educators to improve the effectiveness of PBL methods in a customised context.
3. Activity Modelling of People and Vehicles for Creating Intelligent Streets and Buildings
The activity of people is reflected on the way they move about in their daily activities. This includes how they move about in buildings, how they walk around on the street, and how their vehicles move on the road. Modelling these activities is key to understanding how to make smarter buildings and safer streets - leading to better life in the city.
We create a data capture, analysis and visualisation platforms for modelling the activities of people and vehicles. A network of specialist computer Android sensors are deployed inside buildings and on the streets to analyse real-time images and measure person and vehicle movement parameters including counts, speed and direction. This data from multiple sensors are then analysed to discover patterns of behaviour that would be the basis of different activity models.