Artificial Intelligence for Sustainable Infrastructure and Environmental Systems

• Utgivningsdatum: 2027-01-18
• Mått: 178 x 254 x undefined mm
• Format: Inbunden
• Språk: Engelska
• Antal sidor: 352
• Förlag: Taylor & Francis Ltd
• ISBN: 9781041386551

• Referensverk och tvärvetenskap
• Tillverkningsteknik
• Artificiell intelligens
• Energiteknik

Akashbhai Ashokbhai Dave is currently working as Associate Professor in the Information Technology Department at Sardar Patel College of Engineering and Technology and Research. He is a research professional specializing in cloud computing and artificial intelligence, with a focus on AI-driven performance optimization and intelligent cloud infrastructure. He holds advanced academic qualifications in Computer Science/Engineering and is currently engaged in teaching, research, and scholarly publishing. His research centers on live virtual machine migration, workload prediction, and resource management, leveraging machine learning and deep learning techniques such as LSTM-based models and hybrid optimization frameworks. He emphasizes integrated, performance-oriented solutions that reduce migration time, downtime, and SLA violations, rather than isolated algorithmic improvements. His work involves both simulation-based and experimental evaluation of intelligent systems.Mariya Ouaissa is an Assistant Professor in Cybersecurity and Networks at FSSM, Cadi Ayyad University, Marrakech, Morocco. 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 a trainer/Professor in Networks and Systems from 2021 to 2023. She was working for Moulay Ismail University as a Visiting Professor from 2013 to 2021. She is an IEEE Senior Member of Institute of Electrical and Electronics Engineers (IEEE), as well as a member of the International Association of Engineers and International Association of Online Engineering, and since 2021, she is an "ACM Professional Member". Her main research topics are Cybersecurity, IoT, M2M, D2D, WSN, Cellular Networks, and Vehicular Networks.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. Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. He is also an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates, and an Adjunct Professor at the School of Technology, Woxsen University, India. Dr. Elngar is the Founder and Head of the Scientific Innovation Research Group (SIRG) and serves as the Director of the Technological and Informatics Studies Center (TISC) at the Faculty of Computers and Artificial Intelligence, Beni-Suef University. His interdisciplinary research extends to the application of Artificial Intelligence and Machine Learning techniques in Civil Engineering, where he actively supervises and collaborates on numerous master’s and Ph.D. theses. His work in this area focuses on AI-driven modeling, prediction, optimization, and intelligent decision-support systems for civil engineering applications, such as material performance analysis, structural behavior prediction, durability assessment, and smart infrastructure systems. C. Kishor Kumar Reddy is a seasoned academician and researcher with over 12 years of experience in computer science and engineering. Currently serving at Stanley College of Engineering and Technology for Women, Hyderabad, he holds a Ph.D. in Computer Science and Engineering and a Postdoctoral Fellowship from Universiti Kebangsaan Malaysia, Malaysia. Dr. Reddy has made significant contributions in areas such as Artificial Intelligence, Machine Learning, Deep Learning, Federated Learning, Cybersecurity, Healthcare 6.0, and Disaster Management.

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