A5065203284- Evacuation and Crowd Dynamics
- Traffic and Road Safety
- Transportation Planning and Optimization
- Disaster Management and Resilience
- Virtual Reality Applications and Impacts
- Fire effects on ecosystems
- Human-Automation Interaction and Safety
- Flood Risk Assessment and Management
- Urban Transport and Accessibility
- Augmented Reality Applications
- Fire dynamics and safety research
- Human Mobility and Location-Based Analysis
- BIM and Construction Integration
- Traffic Prediction and Management Techniques
- Cerebrospinal fluid and hydrocephalus
- Safety Warnings and Signage
- Occupational Health and Safety Research
- Urban Design and Spatial Analysis
- Educational Games and Gamification
- Traffic control and management
- 3D Surveying and Cultural Heritage
- Mobile Crowdsensing and Crowdsourcing
- Risk and Safety Analysis
- Data Visualization and Analytics
- Data Management and Algorithms
Massey University
2018-2025
University of Auckland
2016-2019
Polytechnic University of Bari
2013-2016
University of Bari Aldo Moro
2013-2016
Edinburgh Napier University
2014
University of Toledo
2009
Artificial light at night (ALAN) is ever-present in modern society and has revolutionised our lives. Along with its many benefits, ALAN can have adverse effects that are studied across fields, including astronomy, epidemiology, ecology. This paper collates multi-disciplinary knowledge on measuring pollution through a systematic review of 140 articles. The measurement tools used each context comprehensively discussed, gaps identified current techniques, benchmarking information provided to...
Unsafe behaviour in the workplace and disaster events can lead to serious harm damage. Safety training has been a widely studied topic over past two decades. Its primary aim is save lives minimise damage but requires regular refreshers. New digital technologies are helping process of enhancing safety for better knowledge acquisition retention. Among them, Virtual Reality (VR) provide an engaging exciting experience, there need evaluate its application effectiveness training. This study aims...
Perivascular Spaces (PVS) are a recently recognised feature of Small Vessel Disease (SVD), also indicating neuroinflammation, and an important part the brain's circulation glymphatic drainage system. Quantitative analysis PVS on Magnetic Resonance Images (MRI) is for understanding their relationship with neurological diseases. In this work, we propose segmentation technique based 3D Frangi filtering extraction from MRI. Based prior knowledge neuroradiological ratings PVS, used ordered logit...
Crowd models can be used for the simulation of people movement in built environment. model outputs have been evaluating safety and comfort pedestrians, inform crowd management perform forensic investigations. Microscopic allow representation each person obtainment information concerning their location over time interactions with physical space/other people. Pandemics such as COVID-19 posed several questions on safe building usage, given risk disease transmission among occupants. Here we show...
Crowds can be subject to intrinsic and extrinsic sources of risk, previous records have shown that, in the absence adequate safety measures, these risk jeopardise human lives. To mitigate risks, we propose that implementation multiple layers measures for crowds—what label The Swiss Cheese Model Crowd Safety—should become norm crowd practice. Such system incorporates a multitude protection including regulations policymaking, planning assessment, operational control, community preparedness,...
This paper investigates the application of mechanics-informed artificial intelligence to civil structural systems. Structural analysis is a traditional practice that involves engineers solve different real-life problems. Several approaches can be used for this task, going from "by hand" computation recent advanced finite element method. However, when structures become complex, success complicated, often requiring high computational efforts and time. To tackle challenge, high-demanding...