Decision Intelligence Solutions (eBook)

This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision-making and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.


Dr. Nitasha Hasteer is a Professor & Head of the Information Technology Department and Dy. Director (Academics) at Amity School of Engineering and Technology, Amity University, India. She has 22 years of teaching, research, and administrative experience in academics and industry. She holds a Ph.D. in Computer Science and Engineering, and her interest areas are machine learning, cloud computing, crowdsourced software development, software project management, and process modeling through multi-criteria decision-making techniques. She has published more than 60 papers in various journals and international conferences in these areas and has guided many postgraduate students in their dissertations. She has been on the editorial board of many international conferences and obtained funding from government agencies such as the Science and Engineering Research Board, Department of Science Technology (DST), Defence Research and Development Organization (DRDO), Indian National Science Academy (INSA), and Council of Scientific & Industrial Research (CSIR) for organizing conferences in the area of Information Technology. She is a member of the International Association of Computer Science & Information Technology (IACSIT), Singapore, the Institution of Engineering and Technology (IET), UK, and various other professional bodies.

Dr. Manju Khari is Professor at Jawaharlal Nehru University (JNU), New Delhi. Before joining JNU, she worked with Netaji Subhas University of Technology, East Campus, under Govt. Of NCT Delhi. Her Ph.D. is in Computer Science and Engineering from the National Institute of Technology Patna, and she received her master's degree in Information Security from Guru Gobind Singh Indraprastha University, Delhi, India. She is also the co-author of two books, published by NCERT of XI and XII, and co-editor of 10 edited books. She has delivered expert talks, has been a guest speaker at international conferences, and member of the reviewer/technical program committee at various international conferences. Besides this, she has been associated with many research activities such as being Associate Editor/Guest Editor of Springer, Wiley, and Elsevier books and reviewer for various international journals.

Dr. Seán McLoone is Professor of Applied Computational Intelligence and Director of the Centre for Intelligent Autonomous Manufacturing Systems (i-AMS) at Queen's University Belfast. Prof McLoone's research interests are in the general area of intelligent systems with a particular focus on data-based modeling and analysis of dynamical systems. This encompasses techniques ranging from classical system identification, fault diagnosis, and statistical process control to modern artificial intelligence and biologically inspired adaptive learning algorithms and optimization techniques. His research has a strong application focus, with many projects undertaken in collaboration with the industry in areas such as process monitoring. control, optimization, time series prediction, and in-line sensor characterization.  At a professional level, Prof. McLoone is a Chartered Engineer, a Fellow of the Institute of Engineering Technology (IET), and a Senior Member of the Institute of Electrical and Electronic Engineers (IEEE). He is a member of the IFAC Technical Committees on Computational Intelligence in Control (TC3.2), and Modelling, Identification, and Signal Processing (TC1.1) and has previously served as a Member of the Accreditation Board of Engineers Ireland and as a non-executive Director on the Board of Directors of Irish Manufacturing Research Ltd. He currently serves as an Associate Editor for the 'Transactions of the Institute of Measurement and Control' and as a member of the Editorial Board of 'Engineering Applications of Artificial Intelligence'.

Dr. Purushottam Sharma is working as a Professor in the Department of Information Technology, Amity School of Engineering & Technology at Amity University Uttar Pradesh. He has more than 17 years of experience in research, academia, and industry. His research interest includes artificial intelligence, data analytics, temporal data mining, and high-performance networks. Dr. Sharma has published more than 70 research papers in SCI, ESCI, Scopus-indexed journals, and reputed international conferences. He has multiple technical patents in his name. He is a Cisco certified Instructor Trainer ITQ (Instructor Trainer Qualification) and has also obtained CCNA, CCNA(R&S) Global Certificate from Cisco System USA. He has delivered lectures on Networking related subjects in e-Learning mode to 29 African Countries using the Pan-African Network at Amity University Uttar Pradesh.

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This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision-making and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.