Technical and methodological enhancement of hazards and disaster research is identified as a critical question in disaster management. Artificial intelligence (AI) applications, such as tracking and mapping, geospatial analysis, remote sensing techniques, robotics, drone technology, machine learning, telecom and network services, accident and hot spot analysis, smart city urban planning, transportation planning, and environmental impact analysis, are the technological components of societal change, having significant implications for research on the societal response to hazards and disasters. Social science researchers have used various technologies and methods to examine hazards and disasters through disciplinary, multidisciplinary, and interdisciplinary lenses. They have employed both quantitative and qualitative data collection and data analysis strategies. This study provides an overview of the current applications of AI in disaster management during its four phases and how AI is vital to all disaster management phases, leading to a faster, more concise, equipped response. Integrating a geographic information system (GIS) and remote sensing (RS) into disaster management enables higher planning, analysis, situational awareness, and recovery operations. GIS and RS are commonly recognized as key support tools for disaster management. Visualization capabilities, satellite images, and artificial intelligence analysis can assist governments in making quick decisions after natural disasters.

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Flooding is the most common natural disaster in Malaysia, resulting in chaos and disruptions to social and economic activities, damage to roads and railway tracks, vehicles, affecting the level of properties, loss of life, and rise in vulnerability. In addition to natural causes, floods are mainly attributed to continuous heavy rainfall, rapid development, unplanned urbanization, poor drainage system, and environmental degradation. This annual occurrence of floods has given a big impact on the lives of humans and other living beings. Due to the negative effects of floods, we need to pay serious attention and take alternative ways to reduce this disaster. This study aimed to investigate the vulnerability factors and understand the concept of vulnerability and resilience to manage floods in Sarawak. The researcher primarily focused on reviewing the printed and documented material of disasters in order to find the vulnerability factors. Based on the findings, it can be concluded that nature, human, and governance factors, contributed mostly to floods. The present study shows that vulnerability reduction along with emergency preparedness can reduce flood damages and fatalities. The innovative technologies must have to be considered to reduce vulnerability and build resilience for sustainable disaster risk reduction.

This research is aimed to discuss the implementation of Autonomous Robot as Fourth Industrial Revolution (4IR) Technology approaches in facing this current epidemic outbreak. The Fourth Industrial Revolution is the current and emerging environment in which technologies has transformed the way we live and work. Since Sustainable Development Goals (SDG 9): Industry, Innovation and Infrastructure aimed to build resilient infrastructures, promote inclusive and sustainable industrialization and encourage innovation, it is believed that 4IR technology can help to achieve that. World Economic Forum (2017) emphasizes that 4IR innovation can promote system transformation across the environment and natural resource security agenda including enhancing the Risk Reduction agenda Disaster (DRR). A comprehensive solution is needed to prevent or slow down the spread of COVID-19. The objective of the paper is to discuss the implementation of Autonomous Robot as Fourth Industrial Revolution (4IR) Technology approaches in facing this current pandemic outbreak in Malaysia and overseas. The methodology used for this paper is Visual Analysis method. 15 YouTube videos from 12 countries were reviewed. Therefore, gaps determined will help innovators especially in improving the existing function of Autonomous Robots used during COVID-19.

The recent evets of flooding, earthquakes, uncontrolled wildfires, hurricanes, and deadly storms in world has considered a serious threat to mankind and preparing for devastating disasters has never been more critical and urgent. Emergency Events Database suggests that by year 2050 the damages to flood related incidents to coastal cities will cost near to US$1 trillion. Risk from acts of nature cannot be fully prevented but needs to minimize and safe the innocent lives and property by utilizing disaster management technique to mitigate the losses. This paper presents Information Technologies applications in disaster management phases such as Mitigation, Preparedness, Response and Recovery. Geographic Information System, Remote Sensing, mobile technology, drone, and satellite imagery and MOBILISE analytic platform considered as effective and efficient ways of strengthening resilience when disaster strikes and tremendously helpful for coordinating responses and accelerating the recovery of individuals and communities in the aftermath of recent natural disasters.