Design research in this field can incorporate both generative and applied research modes to propose and produce designed propositions for cities and environments. Such design research investigates how existing environments can be reimagined to offer sustainable, resilient and inclusive urban futures, explores the ways and means of understanding and designing alternative solutions to configuring the urban/biosphere fabric, and considers how these alternative configurations might benefit a multi-species ecology of inhabitants. In this domain, design research projects can also consider how designers can collaborate with other development and built environment professionals to contribute to improved well-being and resilience in marginalized and displaced communities and in what ways and under what conditions the design of habitation and settlement infrastructure can contribute to wider education, health and livelihood goals for such communities. In addition, research can include the exploration of the intersection between the economic, environmental and cultural dynamics of spatial production and engage with the politics of urban and rural transformation through design practice and modes of advocacy. This may include (but is not limited to): Transitional Economies - collaborations with community and stakeholders; Disrupted Landscapes - temporal / dynamic master planning; Landscape driven development models; and the development of evidence-based practice in shelter, infrastructure and settlement design for communities marginalized by the increasing frequency and severity of conflict, poverty, disasters and climate change. This field of enquiry also encompasses an engagement with and the exploration of Indigenous Knowledges and associated vernacular / ethno-architectures and place-making practices, as well as the development of sovereign relationships and alternative governance models
College: Design & Social Context
School: Architecture & Urban Design
Discipline: Architecture; Urban design; Landscape Architecture; Interior design
Program Code: DR207
Campus: RMIT Vietnam
Project/Team Leader: Architecture Supervisors: Martyn Hook, Vivian Mitsogianni, Carey Lyon, Alisa Andrasek, Tom Kovac, Tom Holbrook, Nicholas Boyarsky, Eva Prats, Sand Helsel, Roland Snooks, Richard Black, Graham Crist, Paul Minifie, Anna Johnson, Jan van Schaik, Christine Phillips, Michael Spooner, Jan van Schaik, Leanne Zilka, John Doyle, Emma Jackson, Ben Milbourne, Peter Brew; Landscape Supervisors: Katrina Simon, Charles Anderson, Quentin Stevens, Kate Church, Bridget Keane, Heike Rahmann, Alice Lewis, Yazid Ninsalem, Philip Belesky, Ata Tara, John Fien, Esther Charlesworth, Leila Irajifar; Interior Design Supervisors: Suzie Attiwill, James Carey, Leslie Eastman, Olivia Hamilton, Roger Kemp, Adam Nash
Sustainable Development Goal(s): 2,3,6,7,9,11,12,13,14,15, 17
Funded Project:
Closing Date:
Enabling Capability Platform: Design and Creative Practice, Urban Futures, Social Change, Information Systems
FoR Code(s): Architectural Design 330102, Interior Design 330108, Landscape Architecture 330109, Urban Design 330411
The Generative Design Practice Research mode of creative research crosses boundaries between professional and academic/university-based research practices, and often between disciplines. This practice research approach enables practitioners to generate new kinds of practices - within a discipline, or through establishing new fields of practice - in response to challenges and concerns emerging in a changing world. Candidates might be early career, seeking to enter into a period of deep enquiry that transforms a set of practice-based interests into a more developed practice with a well-articulated emphasis, set of agendas and approaches. They might equally be mid- or later-career practitioners seeking to generate a new practice trajectory through a transformation of their established mastery. They demonstrate their findings publicly in ways most appropriate to the particularities of their practice research, usually through an exhibit, a written dissertation, and a presentation to examiners. This mode offers new knowledge in the form of previously unarticulated approaches to practice, informed by specific issues and challenges that direct their generative action.
College: Design & Social Context
School: Architecture & Urban Design
Discipline: Architecture; Urban design; Landscape Architecture; Interior design
Program Code: DR207
Campus: RMIT Vietnam
Project/Team Leader: Architecture Supervisors: Martyn Hook, Vivian Mitsogianni, Carey Lyon, Alisa Andrasek, Tom Kovac, Tom Holbrook, Nicholas Boyarsky, Eva Prats, Sand Helsel, Roland Snooks, Richard Black, Graham Crist, Paul Minifie, Anna Johnson, Jan van Schaik, Christine Phillips, Michael Spooner, Leanne Zilka, John Doyle, Emma Jackson, Ben Milbourne, Peter Brew Interior Design Supervisors: Suzie Attiwill, James Carey, Leslie Eastman, Roger Kemp, Adam Nash Landscape Supervisors: Charles Anderson, Katrina Simon, Quentin Stevens, Anton James, Heike Rahmann, Kate Church, Bridget Keane, Heike Rahmann, Yazid Ninsalem, Philip Belesky, Ata Tara, Alice Lewis
Sustainable Development Goal(s): 2, 3, 4, 6, 7, 9, 11, 12, 13, 14, 15, 17
Funded Project:
Closing Date:
Enabling Capability Platform: Design and Creative Practice
FoR Code(s): Architectural Design 330102, Interior Design 330108, Landscape Architecture 330109, Urban Design 330411
Reflective Industry Design Practice Research involves practitioners operating largely in a professional environment, generally with a peer-reviewed and award-winning body of work developed over 10 years or more. These practitioners have already developed recognised mastery in their field. They are invited to reflect upon the nature of that mastery within a critical framework, engaging them in reviewing the nature of their mastery, defining its enabling structures, its knowledge bases, and the implications of the nexus between these for emerging forms of research-led practice. They conclude by speculating through design on the nature of their future practice. They demonstrate their finding publicly, through an exhibit, a presentation to the examiners, and a written dissertation. Two kinds of knowledge are created by the research. One concerns the ways in which designers marshal their intelligence, to construct the mental space within which they practice design. The other reveals how public behaviours are invented and used to support design practice. This mode of research extends and develops the knowledge base of their profession, and thus its ability to serve society.
College: Design & Social Context
School: Architecture & Urban Design
Discipline: Architecture; Urban design; Landscape Architecture; Interior design
Program Code: DR207
Campus: RMIT Vietnam
Project/Team Leader: Architecture Supervisors: Martyn Hook, Vivian Mitsogianni, Carey Lyon, Alisa Andrasek, Tom Kovac, Tom Holbrook, Nicholas Boyarsky, Eva Prats, Sand Helsel, Roland Snooks, Richard Black, Graham Crist, Paul Minifie, Anna Johnson, Jan van Schaik, Christine Phillips, Michael Spooner, Leanne Zilka, John Doyle, Emma Jackson, Ben Milbourne, Peter Brew Interior Design Supervisors:Suzie Attiwill, James Carey, Leslie Eastman, Roger Kemp, Adam Nash Landscape Supervisors: Charles Anderson, Katrina Simon, Quentin Stevens, Heike Rahmann, Kate Church, Bridget Keane, Heike Rahmann, Yazid Ninsalem, Philip Belesky, Ata Tara, Alice Lewis
Sustainable Development Goal(s): 2, 3, 4, 6, 7, 9, 11, 12, 13, 14, 15, 17
Funded Project:
Closing Date:
Enabling Capability Platform: Design and Creative Practice
FoR Code(s): Architectural Design 330102, Interior Design 330108, Landscape Architecture 330109, Urban Design 330411
Research within this field engages with practices from the Arts, Ethnography, Design History and Theory, with a particular exploration of design for social change and cultural production. Major projects can be identified in the areas of design diplomacy, design for democracy, design for diversity and inclusion, design for affordable housing, ecological design, design for community development and cultural production. Design for social change encompasses working with social enterprises, NGOs, foundations, corporations and governments and includes concepts and processes such as social innovation, collaborative systems, co-design, co-production, curatorial practice and systemic change. A range of questions for research can underpin this field. In what ways and under what conditions can design and design thinking contribute to social change most effectively? How can collaboration across the spectrum of design methodologies and genres generate deeper and longer-lasting transformations? How could such collaborations be organized, funded, and implemented? How can the effectiveness of such collaborations be measured? What are the range of quantitative and qualitative metrics available for gauging sustained impact and value? How can programs and solutions be designed at a scale commensurate with the scale of the actual problems being confronted? What discourses within the design professions facilitate and/or constrain the practice of design for social change? In what ways can design education contribute to positive discourses and discursive practices in design for social change? Research in this area may be undertaken through both thesis and/or practice-based approaches, with lead supervision offered by staff with expertise in design for post-conflict and post–disaster settings, design with remote and Indigenous communities, sustainability and resliency policy and practices, social transformation processes, public participation and cultural production.
College: Design & Social Context
School: Architecture & Urban Design
Discipline: Architecture; Urban design; Landscape Architecture; Interior design
Program Code: DR207
Campus: RMIT Vietnam
Project/Team Leader: John Fien, Esther Charlesworth, Leila Irajifar, Harriet Edquist, Christine Phillips, Charles Anderson, Nicholas Boyarsky, Alice Lewis, Suzie Attiwill, James Carey, Leslie Eastman, Olivia Hamilton, Roger Kemp, Adam Nash
Sustainable Development Goal(s): 1, 4, 5, 8, 10, 11, 13, 16, 17
Funded Project:
Closing Date:
Enabling Capability Platform: Social Change, Urban Futures, Design & Creative Practice
FoR Code(s): Architectural Design 330102, Interior Design 330108, Landscape Architecture 330109, Urban Design 330411, Architectural History, Theory and criticism 330104, Sustainable Architecture 330110
Life expectancy (LE) prediction is a critical problem in computational science, requiring the integration of diverse and dynamic variables. Traditional methods rely on generalized population statistics, limiting accuracy and individual relevance. This project proposes a computational framework for Personalized Life Expectancy (PLE) prediction, leveraging wearable technology, mobile health applications, and advanced machine learning. The framework processes real-time health metrics such as calorie expenditure, sleep patterns, and heart rate, collected via wearable devices and processed through cloud computing. Machine learning algorithms analyze this data to provide individuals with dynamic, personalized LE predictions. The project also emphasizes scalability, enabling the aggregation of anonymized health data to uncover population-level trends and inform healthcare resource allocation. This research addresses core challenges in computer science, including real-time data streaming, predictive modeling accuracy, and user-specific customization. Additionally, it explores the integration of edge computing to enhance data processing efficiency and ensure privacy in large-scale applications. The project aligns computational tools with societal needs, supporting preventive healthcare and encouraging healthier behaviors. Its scalable design can reduce healthcare costs and inform public health policies through actionable insights. Collaboration with industry stakeholders ensures practical implementation and real-world impact. By advancing the methodologies for data analytics, wearable integration, and predictive modeling, this project contributes to personalized healthcare, health informatics, and big data applications. It aims to establish a foundation for computational innovations that improve health outcomes and address global healthcare challenges.
College: STEM
School: School of Science Engineering and Technology (Vietnam)
Discipline: Computer Science
Program Code: DR221
Campus: RMIT Vietnam
Project/Team Leader: James Kang, Nalin Arachchilage
Sustainable Development Goal(s):
Funded Project:
Closing Date: 31/12/2027
Enabling Capability Platform: Biomedical and Health Innovation
FoR Code(s): 080702 - Health Informatics (50%) 080110 - Simulation and Modelling (25%) 111799 - Public Health and Health Services (25%)
Biometrics, such as retina, voice, and fingerprints, are commonly used for identification and authentication. However, these methods are unsuitable for remote authentication. Health data, often sensitive and containing personal information, poses significant privacy concerns, especially in electronic health (eHealth) and Internet of Health Things (IoHT) technologies. While individual health metrics like heart rate may seem insignificant, their combination with other data can reveal unique patterns for individuals.
This project explores the feasibility of using health data for secure identification. It will evaluate health data to determine meaningful traits and assess activity recognition for trait verification. Key outcomes include (1) assessing the accuracy of health data traits with measurable and standardized metrics, and (2) creating a structured model of attributes that influence the effectiveness of health data in identification.
The project will also involve developing an application to collect input data from users with health issues. This application aims to generate identification mechanisms capable of triggering automatic alarm notifications in emergencies. By integrating health data for remote authentication, this research addresses critical privacy concerns while advancing secure, user-centered IoHT solutions.
College: STEM
School: School of Science Engineering and Technology (Vietnam)
Discipline: Computer Science
Program Code: DR221
Campus: RMIT Vietnam
Project/Team Leader: James Kang, Nalin Arachchilage
Sustainable Development Goal(s):
Funded Project:
Closing Date: 31/12/2026
Enabling Capability Platform: Information in Society
FoR Code(s): 461304
The cryptocurrency ecosystem continues to be plagued by security breaches and exploits, with billions of dollars lost to hackers each year. In 2022, the Ronin Network suffered a $625 million hack, while Binance saw $570 million stolen in a single incident. These attacks highlight critical vulnerabilities in blockchain protocols, smart contracts, and exchange infrastructure. Traditional security approaches have struggled to keep pace with the evolving threat landscape in the cryptocurrency industry. There is an urgent need for more sophisticated threat modeling techniques that can anticipate novel attack vectors and simulate complex adversarial behaviors. Agent-based modeling offers a promising approach to capture the dynamic and decentralized nature of cryptocurrency systems and their potential vulnerabilities. RQs: How can agent-based models effectively simulate the behavior of different types of attackers (e.g. nation-state actors, organized crime groups, individual hackers) in cryptocurrency ecosystems? What are the most critical vulnerabilities in current cryptocurrency architectures as revealed through agent-based threat modeling, and how do these compare to real-world exploits? How can agent-based simulations be used to evaluate the effectiveness of different security measures and protocols in mitigating cryptocurrency vulnerabilities? Impact: The findings have potential to inform the development of more robust protocols and security measures, ultimately contributing to safeguard billions of dollars in digital assets.
College: STEM
School: School of Science Engineering and Technology (Vietnam)
Discipline: Computer Science
Program Code: DR221
Campus: RMIT Vietnam
Project/Team Leader: Jeff Nijsse, Hai Dong
Sustainable Development Goal(s):
Funded Project:
Closing Date: 31/12/2026
Enabling Capability Platform: Information in Society
FoR Code(s): 460202 Autonomous agents and multiagent systems (50%) 460402 Data and information privacy (25%) 461101 Adversarial machine learning (25%)
As central banks worldwide race to develop digital currencies, cybersecurity has emerged as a critical concern. The potential launch of CBDCs represents one of the most significant changes to the global financial system in decades. However, recent high-profile hacks of cryptocurrency exchanges and decentralized finance protocols have highlighted the immense security challenges facing digital assets. A report by Chainalysis found that crypto hacks reached an all-time high of $3.8 billion stolen in 2022, with North Korean hackers alone accounting for over $1 billion in theft. These incidents underscore the urgent need for robust security measures to be integrated into CBDC designs from the ground up. However, there are few studies examining the comprehensive security services required for widespread acceptance of digital currencies. Without addressing the risks comprehensively, hasty deployment can undermine public trust and financial stability. The research will employ a mixed methods approach combining qualitative and quantitative methodologies.
College: STEM
School: School of Science Engineering and Technology (Vietnam)
Discipline: Computer Science
Program Code: DR221
Campus: RMIT Vietnam
Project/Team Leader: Jeff Nijsse
Sustainable Development Goal(s):
Funded Project:
Closing Date: 31/12/2026
Enabling Capability Platform: Information in Society
FoR Code(s): 460407 System and network security (50%) 460406 Software and application security (25%) 350299 Banking, finance and investment not elsewhere classified (25%)
The total crypto scam revenue from 2019 to 2023 reached a staggering amount of nearly US $40 billion [Chainalysis]. Immunefi also reported a global loss of $1.2B to hacks and rug pulls in August 2024 alone.
In this project, to contribute to the global effort in combating digital fraud, we take a deep dive into the dark land of crypto scammers. The first and most crucial step is to perform a systematic investigation to understand how the scammers of each type of scam operated and laundered their scam money via privacy-protecting services such as mixers and bridges and centralized exchanges. The next step is to develop rule-based and machine learning algorithms including graph neural networks and large language models like GPT to detect and track various scam activities among the vast publicly available on-chain data. We will build various scam datasets for popular chains such as Ethereum, BNB, Arbitrum, and Solana, to address the lack of up-to-date and well-curated datasets in crypto scam and facilitate future research. We will also build visualization tools that will not only assist our research but also potentially help community and law enforcement in tracking crypto scammers in real time.
College: STEM
School: School of Science Engineering and Technology (Vietnam)
Discipline: Computer Science
Program Code: DR221
Campus: RMIT Vietnam
Project/Team Leader: Jeff Nijsse, Son Hoang Dau, Huong Ha
Sustainable Development Goal(s):
Funded Project:
Closing Date:
Enabling Capability Platform: Information in Society
FoR Code(s): 461106 Semi- and unsupervised learning (50%) 460404 Digital forensics (25%) 460206 Knowledge representation and reasoning (25%)
This project aims to enhance gamified learning environments by integrating AI technologies. The system will use AI to adapt educational games based on students’ progress, learning styles, and preferences, making the experience more interactive and engaging. The platform will offer personalized challenges, rewards, and feedback, encouraging motivation and deepening understanding. The integration of AI will provide real-time insights into student performance, enabling educators to tailor the gaming experience to improve learning outcomes while making education enjoyable and immersive.
College: STEM
School: School of Science Engineering and Technology (Vietnam)
Discipline: Computer Science
Program Code: DR221
Campus: RMIT Vietnam
Project/Team Leader: Linh Duc Tran, Minh Dinh, Maria Spichkova
Sustainable Development Goal(s):
Funded Project:
Closing Date:
Enabling Capability Platform: Sustainable Technologies and Systems Platform
FoR Code(s): 4602 Artificial Intelligence (40%) 4612 Software engineering (40%) 4608 Human-Centred Computing (20%)