
Explainable AI (XAI) for Sustainable Development
Description
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* Focuses on virtual machine placement and migration techniques for cloud data centres
* Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services
* Includes application of placement techniques for quality of service, performance, and reliability improvement
* Explores data centre resource management, load balancing and orchestration using machine learning techniques
* Analyses dynamic and scalable resource scheduling with a focus on resource management
The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.
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Persons
Mr. Ravi Shekhar Tiwari is a Researcher, Innovator, and an Engineer. He has written more than 0.5 billion lines of code that are adding value to people's lives. He has 4+ years of industry experience working as an Artificial Intelligence Engineer, Penetration Tester, and MFDI Engineer in Multinational IT companies as well as start-ups. He also holds a position as a reviewer and editor in reputed journals and as an author in technical magazines with Indian Patents, SCI research papers SCOPUS research papers, Book Chapters SCOPUS indexed, and as an Editor in Book Series titled 'Futuristic Trend in Artificial Intelligence' and 'Futuristic Trend in IoT''. He has won awards as a Researcher and contribution to Student Development. Ravi Shekhar Tiwari's research domain includes Time Series Analysis, Protein Structure Prediction and Generation, Federated Learning, the Internet of Things, Microcontrollers, Gait Analysis, AI and Healthcare, XAI, Cloud Computing, Computer Vision, Parallel and Distributed Computing in the cloud. Currently, he is pursuing his Master in Technology in Mahindra University with a Specialization in Artificial Intelligence and Data Science with Teaching Assistant. As a responsible member, he always tries to enhance and uplift society by teaching students remotely. He has been invited as a guest speaker at 2 international conferences. He is also a teacher and mentor without the border where he teaches students to overcome difficulties and pursue their interests as their careers. He also writes poems and short inspirational stories in periodicals.
Dr Rajesh Kumar Dhanaraj is a distinguished Professor at Symbiosis International (Deemed University) in Pune, India. His academic and research achievements have earned him a place among the top 2% of scientists globally, a recognition bestowed upon him by Elsevier and Stanford University. He has authored and edited over 50 books on various cutting-edge technologies and holds 21 patents. Furthermore, he has contributed over 100 articles and papers to esteemed refereed journals and international conferences, in addition to providing chapters for several influential books. Dr. Dhanaraj has earned the distinction of being a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He is also a member of the Computer Science Teacher Association (CSTA) and the International Association of Engineers (IAENG). Dr. Dhanaraj's commitment to academic excellence extends to his role as an Associate Editor and Guest Editor for renowned journals, including Elsevier Computers and Electrical Engineering, Human-centric Computing and Information Sciences, Emerald - International Journal of Pervasive Computing and Communications, and Hindawi - Mobile Information Systems. His expertise has earned him a position as an Expert Advisory Panel Member of Texas Instruments Inc., USA.
Prof. Kadry has a bachelor's degree in 1999 from Lebanese University, an MS degree in 2002 from Reims University (France) and EPFL (Lausanne), Ph.D. in 2007 from Blaise Pascal University (France), an HDR degree in 2017 from Rouen University (France). His research currently focuses on Data Science, medical image recognition using AI, education using technology, and applied mathematics. He is an IET Fellow and IETE Fellow, member of European Academy of Sciences and Arts. He is a full professor of data science at Noroff University College, Norway.
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