AI and IoT for Proactive Disaster Management

In our rapidly evolving digital landscape, the threat of natural disasters looms large, necessitating innovative solutions for effective disaster management. Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) presents a transformative approach to addressing these challenges. However, despite the potential benefits, the field needs more comprehensive resources that explore the full extent of AI and IoT applications in disaster management. AI and IoT for Proactive Disaster Management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies. Targeted at undergraduate and postgraduate students, academicians, research scholars, industry professionals, and technology enthusiasts, this book serves as a comprehensive guide to understanding the intersection of AI, IoT, and disaster management. It offers insights into emerging trends, ethical considerations, and best practices, making it an essential resource for anyone interested in leveraging technology to mitigate the impact of natural disasters.

Mariyam Ouaissa is currently an Assistant Professor in Networks and Systems at ENSA, Chouaib Doukkali University, El Jadida, Morocco. She received her Ph.D. degree in 2019 from National Graduate School of Arts and Crafts, Meknes, Morocco and her Engineering Degree in 2013 from the National School of Applied Sciences, Khouribga, Morocco. She is a communication and networking researcher and practitioner with industry and academic experience. Dr Ouaissa's research is multidisciplinary that focuses on Internet of Things, M2M, WSN, vehicular communications and cellular networks, security networks, congestion overload problem and the resource allocation management and access control. She is serving as a reviewer for international journals and conferences including as IEEE Access, Wireless Communications and Mobile Computing. Since 2020, she is a member of “International Association of Engineers IAENG” and “International Association of Online Engineering”, and since 2021, she is an “ACM Professional Member”. She has published more than 60 research papers (this includes book chapters, peer-reviewed journal articles, and peer-reviewed conference manuscripts), 15 edited books, and 6 special issue as guest editor. She has served on Program Committees and Organizing Committees of several conferences and events and has organized many Symposiums / Workshops / Conferences.

Mariya Ouaissa is currently an Assistant Professor in Cybersecurity and Networks at Cadi Ayyad University and practitioner with industry and academic experience. She is a Ph.D. graduated in 2019 in Computer Science and Networks from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a Co-Founder and IT Consultant at IT Support and Consulting Center. She was working for School of Technology of Meknes Morocco as a Visiting Professor from 2013 to 2021. She is member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she is an “ACM Professional Member”. She is Expert Reviewer with Academic Exchange Information Centre (AEIC) and Brand Ambassador with Bentham Science. She has served and continues to serve on technical program and organizer committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair also as a reviewer of numerous international journals. Dr. Ouaissa has made contributions in the fields of information security and privacy, Internet of Things security, and wireless and constrained networks security. Her main research topics are IoT, M2M, D2D, WSN, Cellular Networks, and Vehicular Networks. She has published over 70 papers (book chapters, international journals, and conferences/workshops), 25 edited books, 1 authored book, and 10 special issue as guest editor.

Zakaria Boulouard is currently a Professor at Department of Computer Sciences at the “Faculty of Sciences and Techniques Mohammedia, Hassan II University, Casablanca, Morocco”. In 2018, he joined the “Advanced Smart Systems” Research Team at the “Computer Sciences Laboratory of Mohammedia”. He received his PhD degree in 2018 from “Ibn Zohr University, Morocco” and his Engineering Degree in 2013 from the “National School of Applied Sciences, Khouribga, Morocco”. His research interests include Artificial Intelligence, Big Data Visualization and Analytics, Optimization and Competitive Intelligence. Since 2017, he is a member of “Draa-Tafilalet Foundation of Experts and Researchers”, and since 2020, he is an “ACM Professional Member”. He has served on Program Committees and Organizing Committees of several conferences and events and has organized many Symposiums/Workshops/Conferences as a General Chair. He has served and continues to serve as a reviewer of numerous international conferences and journals. He has published several research papers. This includes book chapters, peer-reviewed journal articles, peer-reviewed conference manuscripts, edited books and special issue journals.

Celestine Iwendi is an IEEE Brand Ambassador. He has a PhD in Electronics Engineering, is a Past ACM Distinguished Speaker, a Senior Member of IEEE, a Seasoned Lecturer, and a Chartered Engineer. A highly motivated researcher and teacher with an emphasis on communication, hands-on experience, willingness to learn, and 23 years of technical expertise. He has developed operational, maintenance, and testing procedures for electronic products, components, equipment, and systems; provided technical support and instruction to staff and customers regarding equipment standards, assisting with specific, difficult in-service engineering; Inspected electronic and communication equipment, instruments, products, and systems to ensure conformance to specifications, safety standards, and regulations. He is a wireless sensor network Chief Evangelist, AI, ML, and IoT expert and designer. Celestine is a Reader (Professor) at the University of Bolton, United Kingdom. He is also the IEEE University of Bolton, Student Branch Counselor and former Board Member of the IEEE Sweden Section, a Fellow of The Higher Education Academy, United Kingdom, and a fellow of the Institute of Management Consultants to add to his teaching, managerial, and professional experiences. Celestine is an Ambassador in the prestigious Manchester Conference Ambassador Programme, a Visiting Professor to five Universities, and an IEEE Humanitarian Philanthropist. Celestine has received the prestigious recognition of the Royal Academy of Engineering through the Exceptional Talent Scheme, acknowledging his substantial contributions to Artificial Intelligence and its medical applications. Additionally, he takes pride in his three-year inclusion in Elsevier's publication, featuring the World's Top 2% Influential Scientists. Celestine is the Chair of the Election Committee of IEEE Computer Society Worldwide.

Dr. Moez Krichen obtained his HDR (Ability to Conduct Researches) in Computer Science from the University of Sfax (Sfax, Tunisia) in 2018. He obtained his PhD in Computer Science in 2007. He is currently an Associate Professor at the University of Al-Baha (KSA) and a member of the Research Laboratory on Development and Control of Distributed Applications - REDCAD (Sfax, Tunisia). His main Research Interest is Model-Based Conformance/Load/Security Testing Methodologies for Real-Time, Distributed, and Dynamically Adaptable Systems. Moreover, he works on applying Formal Methods to several Modern Technologies like Smart Cities, Internet of Things (IoT), Smart Vehicles, Drones, Healthcare Systems, etc. Currently, he is also working on Formal Aspects related to Deep Learning, Data Mining, Block-chain, Smart Contracts and Optimization.