The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.
Vikrant Bhateja is associate professor in Department of Electronics Engineering Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He holds a doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 20 years with around 190 publications in reputed international conferences, journals and online book chapter contributions; out of which 39 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as “Editor Choice Paper of the Issue'' in 2016. Among the international conference publications, four papers have received “Best Paper Award''. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as Publication/TPC chair and edited 52 book volumes from Springer-Nature as a corresponding/co-editor/author on date. He has delivered nearly 22 keynotes, invited talks in international conferences, ATAL, TEQIP and other AICTE sponsored FDPs and STTPs. He has been Editor-in-Chief of IGI Global--International Journal of Natural Computing and Research (IJNCR) an ACM & DBLP indexed journal from 2017-22. He has guest edited Special Issues in reputed SCIE indexed journals under Springer-Nature and Elsevier. He is Senior Member of IEEE and Life Member of CSI.
Xin-She Yang obtained his D.Phil. in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a senior research scientist. Now, he is a reader at Middlesex University London, and a co-editor of the Springer Tracts in Nature-Inspired Computing. He is also an elected fellow of the Institute of Mathematics and its Applications. He was the IEEE Computational Intelligence Society (CIS) chair for the Task Force on Business Intelligence and Knowledge Management (2015 to 2020). He has published more than 300 peer-reviewed research papers with more than 70,000 citations, and he has been on the prestigious list of highly-cited researchers (Clarivate Analytics/Web of Sciences) for seven consecutive years (2016–2022).
Marta Campos Ferreira is a researcher and invited assistant professor at Faculty of Engineering of University of Porto. She holds a Ph.D. in Transportation Systems from the Faculty of Engineering of University of Porto (MIT Portugal Program), a M.Sc. in Service Engineering and Management from the Faculty of Engineering of University of Porto, and a Lic. in Economics from the Faculty of Economics of University of Porto. She is the co-founder and co-editor of the Topical Collection "Research and Entrepreneurship: Making the Leap from Research to Business" with SN Applied Sciences and an associate editor of the International Journal of Management and Decision Making. She has been involved in several R&D projects in areas such as technology enabled services, transport, and mobility. Her current research interests include service design, human–computer interaction, data science, knowledge extraction, sustainable mobility, and intelligent transport systems.
Sandeep Singh Sengar is Lecturer in Computer Science at Cardiff Metropolitan University, UK. Before joining this position, he worked as Postdoctoral Research Fellow at the Machine Learning Section of Computer Science Department, University of Copenhagen, Denmark. He holds a Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India, and an M. Tech. degree in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India. His current research interests include medical image segmentation, motion segmentation, visual object tracking, object recognition, and video compression. His broader research interests include machine/deep learning, computer vision, image/video processing, andits applications. He has published several research articles in reputed international journals and conferences in the field of computer vision and image processing. He is Reviewer of several reputed international transactions, journals, and conferences including IEEE Transactions on Systems, Man and Cybernetics: Systems, Pattern Recognition, Neural Computing and Applications, Neurocomputing.
Carlos M. Travieso-González received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain; and Ph.D. degree in 2002 at University of Las Palmas de Gran Canaria (ULPGCSpain). He is a full professor on Signal Processing and Pattern Recognition and the head of Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 50 International and Spanish Research Projects, some of them as the head researcher. He has 440 papers published in international journals and conferences. He has published 7 patents in Spanish Patent and Trademark Office.
