Predicting, Preventing, and Mitigating Natural Disasters Through Advanced Technologies

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Shahriar Sajib Asif Noor

Predicting, Preventing, and Mitigating Natural Disasters Through Advanced Technologies

Name: Predicting, Preventing, and Mitigating Natural Disasters Through Advanced Technologies
Price: 402.26 AUD
Availability: OutOfStock
ISBN: 9798337364162

Shahriar Sajib, Asif Noor

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Paperback

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English

Engineering Science Reference
25 February 2026

Social impact of disasters; Meteorology & climatology; Natural disasters

Over the past decade, extreme natural disasters have imposed escalating human and economic tolls. Advances in data-driven artificial intelligence (AI) now offer the potential to extend forecast lead times and improve predictive accuracy, while innovations in unmanned aerial vehicles (UAVs) and robotics can bolster our capacity to mitigate and respond. By harnessing these technologies, it is reasonable to expect that humanity will develop the tools needed to prevent-or at least dramatically reduce-the impact of future natural disasters. Predicting, Preventing, and Mitigating Natural Disasters Through Advanced Technologies confronts the most destructive natural phenomena by systematically reviewing today's state-of-the-art predictive and preventive technologies. Each chapter provides an in-depth analysis of a specific hazard, examining how data-driven forecasting models, early-warning systems, and emerging drone and robotics-based interventions currently function, where they fall short, and what incremental advances could sharpen our ability to anticipate and avert catastrophe. Covering topics such as disaster risk reduction, cyclone readiness evaluation, and landslide susceptibility mapping, this book is an excellent resource for researchers and graduate students, disaster management engineers and technologists, policymakers and planners, non-profit and aid organizations, and more.

Edited by: Shahriar Sajib, Asif Noor
Imprint: Engineering Science Reference
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9798337364162
Pages: 314
Publication Date: 25 February 2026
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Dr. Shahriar Sajib is a researcher and technology strategist with interdisciplinary expertise spanning artificial intelligence, additive manufacturing, digital transaction systems, and algorithmic management. He holds a PhD in Strategic Management, along with master’s degrees in MBA, International Business, and Professional Accounting, and a bachelor’s degree in Computer Science. His research has attracted significant international citations, particularly in AI-driven decision systems and algorithmic bias. Dr. Sajib has conducted applied research and development work in additive manufacturing processes and smart production environments, alongside practical innovation in digital money receipt systems and thermal printing technologies for scalable, data-integrated transaction workflows. This combination of advanced manufacturing knowledge and AI-enabled digital infrastructure provides a strong foundation for his editorial leadership in the volume on The Role of AI in Material Science, where intelligent systems, automation, and data-driven material innovation intersect. He is also the founder of technology ventures including Maturedge and the Nearheal digital health platform, further demonstrating his commitment to translating AI and digital technologies into real-world impact. Asif Noor , a Principal Systems Engineer at Collins Aerospace in Dallas, Texas, has more than twenty years of experience spanning across telecommunications, IT infrastructure engineering, and cloud computing industries. Asif has led many large-scale projects involving network integrations, architected cloud-native solutions, and driven DevOps transformations for both government and commercial clients. His deep curiosity about cutting-edge technologies always keeps him active in researching emerging technologies. He is an active contributor to, online forums,technical publications and industry conferences. Asif completed Bachelor’s in Computer Science and holds a Master’s in Systems Engineering from the University of Texas at Dallas, USA.