21CIVIL ENGINEERING
Building Climate Resilience by Advancing Natural Resources Management
Ir Dr Izni Zahidi Senior Lecturer DEng
Research expertise : Informatics , Remote Sensing , Geographic Information System , Modelling
E : izni . mohdzahidi @ monash . edu T : + 603 5515 9734
Building information Modelling in the lifecycle of construction projects .
Dr Yaser Gamil Lecturer BEng , MEng , PhD , BEM Grad . Eng , PMP Certified
Research expertise : Building Information Modelling , facility management in the built environment , productivity , socioeconomic issues in construction , AR / VR in construction , Machine
E : yaser . g @ monash . edu T : + 603 5514 6017
Many developing countries face significant environmental threats that propel governments to enhance their natural resources management to mitigate the risks not only to the environment but also to the local communities . Increasing threats such as flooding , vegetation degradation and urban heat island effects are exacerbated by climate change , which then intensifies the socio-economic impacts on vulnerable communities . My primary research interest is in developing sustainable and climate-resilient communities through effective natural resources management . I leverage artificial intelligence / machine learning to model land uses , flood risks , vegetation indicators and urban heat island effects . By modelling the relationships between various variables , we can optimise them for the best designs to minimise environmental impacts . This
Automated progress monitoring using BIM assisted with VR and other technologies such as unmanned vehicles can offer efficient real time progress updates . This research aims to streamline the the monitoring of construction activities during execution of the projects .
Another research is about the use of VR / AR to improve the effectiveness and efficiency of facilty management assisted with the BIM model . This research can help to improve the facility management and promote proactive preventive maintenance . The use of the huge data and analyse them using machine learning can also help to improve decision making and forecasting in construction projects . approach enables responsive and data-driven decisions in natural resources management strategies . With advancements in technology such as remote
Mining environment monitoring via remote sensing
Existing buildings are equipped with evacuation plans especially old buildings , we are looking to see evacuation plans in existing buildings and transforming these plans into a BIM model to improve facility management and operations of the existing buildings . sensing , valuable additional information can be integrated into Geographic Information Systems to assess social , economic and environmental risks better .
Using machine learning to estimate land surface temperature ( LST ) based on local climate zone ( LCZ )
VR laboratory setup ( department of civil engineering , Monash University )
Building visualization using VR
21CIVIL ENGINEERING
RESEARCHER PROFILE 2025 / 2026