Infrastructure represents capital goods that support production and marketing for industries within a country, and is critical for economic progress. Malaysia’s infrastructure is one of the most highly developed amongst the newly industrialising countries in Asia.

The Malaysian Government recognises infrastructure’s importance as the bedrock of the economy, and as such has allocated more funding to infrastructure than to any other sector in national development plans since 1966.

The School of Engineering seeks to contribute to this important area in the following sub-themes:

  1. Management of Natural Phenomena
  2. Monitoring and Surveillance

 

Management of Natural Phenomena

All infrastructure have interaction with natural phenomena, and hence when they are being built/planned, consideration must be given to factors caused by nature. In this field, engineers employ their expertise to identify vulnerability, manage risk and enhance the resilience of critical infrastructures against the forces of nature.

The School of Engineering offers expertise to address different challenges within this theme, where areas such as soil dynamics, earthquake engineering, infrastructure management due to climate risk, asset management and integrated drainage system are being actively studied.

Staff involved in this research area are:

 Dr. Raghunandan working on the ground response analysis and seismic-zonation using local soil profile and conditions

Dr. Raghunandan working on the ground response analysis and seismic-zonation using local soil profile and conditions

 

Monitoring and Surveillance

Monitoring, surveillance and maintenance of infrastructure are equally important aspects as its planning and construction. Here engineers use intelligent systems, complex computer networks, and sophisticated engineering tools to monitor and evaluate performance, detect malfunctions, and improve the efficiency in critical infrastructure.

Areas of research at the School of Engineering include fault detection in power transmission lines, unmanned automonous systems, swarm robotics and mobile robots.

Staff involved in this research are are: