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B. Murali Manohar Rao is an Assistant Professor in the Department of Civil Engineering at TKR College of Engineering and Technology, Meerpet, Hyderabad, Telangana, India. His academic background is in civil engineering. His contribution addresses the use of AI and IoT technologies for disaster prediction, management, and resilience.
Catastrophes resulting from natural phenomena and anthropogenic actions present considerable dangers to human existence, structural integrity, economic viability, and ecological balance. Traditional disaster management strategies frequently encounter obstacles such as sluggish information dissemination, restricted monitoring scope, disjointed communication, and insufficient forecasting abilities. IoT apparatus, such as environmental sensors, meteorological stations, seismic detectors, water-level gauges, drones, and interconnected infrastructure, facilitate ongoing data acquisition from disaster-affected regions. Mathematical models for forecasting hazards, evaluating risks, and optimising resources are provided to bolster the conceptual framework. The section additionally explores data dependability, model ambiguity, interoperability, privacy, cybersecurity, and ethical implications. Ultimately, novel research trajectories such as digital twins, federated learning, autonomous drones, satellite-driven analytics, and robust smart infrastructure are recognised. The section establishes a theoretical basis for creating intelligent, scalable, and robust disaster management systems.