Decision Intelligence Solutions / Lecture Notes in Electrical Engineering Bd.1080 (PDF)

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.