Emerging Trends in Expert Applications and Security : Proceedings of ICE-TEAS 2024, Volume 1

The book covers current developments in the field of computer system security using cryptographic algorithms and other security schemes for system as well as cloud. The proceedings compiles the selected research papers presented at ICE-TEAS 2024 Conference held at Jaipur Engineering College and Research Centre, Jaipur, India, during March 15–17, 2024. The book focuses on expert applications and artificial intelligence; information and application security; advanced computing; multimedia applications in forensics, security, and intelligence; and advances in web technologies: implementation and security issues.

Prof. (Dr.) Vijay Singh Rathore Presently working as Professor-CSE, Jaipur Engineering College & Research Centre, Jaipur (India), and in addition he is also Membership Chair, ACM Jaipur Chapter, and Past Chairman, CSI Jaipur Chapter. Having Teaching Experience of 20+ Years, 5 Patents published, 20 PhD Supervised, Published 94 Research Papers and 10 Books, Edited 12+ Conference Proceedings with Scopus/SCI indexing and associated as Editor & Reviewer in some reputed Journals, Received 20+ National and International Awards of Repute. His core research areas include Internet Security, Cloud Computing, Big Data, and IoT. He has organized and participated 25+ National & International Conferences of repute.His foreign visits for various academic activities (Delegate/Invited/Keynote Speaker/Session Chair/Guest) include USA, UK, Canada, France, Netherlands, Singapore, Egypt, Thailand, Vietnam, Nepal etc. He had been member of Indian Higher Education Delegation and visited 20+ leading universities at Canada (May, 2019), UK (July, 2017), and USA (Aug, 2018) supported by AICTE and GR foundation. Other Delegation visits include University of Amsterdam (2016), Nanyang Technological University, Singapore (2018), University of Lincoln, QMUL, Brunel University, Oxford Brookes University (2020) for discussions on academic and research collaborations.He is an active academician and always welcoming and forming innovative ideas in the various dimensions of education and research for the better development of the society.

João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001, and attained his Habilitation in Mechanical Engineering in 2015. He is a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and a Full Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP).João Tavares is co-editor of more than 80 books, co-author of more than 55 book chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been a committee member of several international and national journals and conferences, is co-founder and co-editor of the book series “Lecture Notes in Computational Vision and Biomechanics” published by Springer, founder, and Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization” published by Taylor & Francis, Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering” published by Taylor & Francis, and co-founder and co-chair of th international conference series: CompIMAGE, ECCOMAS VipIMAGE, ICCEBS, and BioDental. Additionally, he has been (co-)supervisor of several MSc and PhD thesis and supervisor of several post-doc projects, and has participated in many scientific projects, both as a researcher and as a scientific coordinator.His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human-computer interaction, and new product development.

(More information can be found at: www.fe.up.pt/~tavares)

Eva Tuba, Assistant Professor of Computer Science at Trinity University, San Antonio, TX, is included in Stanford University list of 2% of the most influential scientists in the world in all disciplines for the contribution in the previous year (for years 2020, 2021 and 2022). She is the author or coauthor of around 100 scientific papers (cited more than 3,000 times, h-index 35). Prof. Tuba is a member of the editorial board, scientific or technical committee of number of scientific journals and international conferences.Prof. Tuba received B. S. and M. S. degrees from Faculty of Mathematics, University of Belgrade, M. S.from the Graduate School of Computer Science, John Naisbitt University and PhD in Computer Science from Singidunum University. She is a member of the Management Committee and a participant of the EU COST Action Project on Randomised Optimisation Algorithms Research Network. Eva Tuba participated in several Short-Term Scientific Mission and workshops supported by EU COST Action project on Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice at the University of Coimbra, Portugal, University College Dublin, Ireland, University of Malaga, Spain, and Vilnius University, Lithuania. She received a grant for postdoc research at the Southern University of Science and Technology, Shenzhen, China. Prof. Tuba was teaching several computer science and mathematics courses such as Artificial Intelligence, Digital Image Processing, Computer Graphics, Optimization in AI, Introduction to Programming, Data Structures and Algorithms, Object Oriented Programming, Calculus, Linear Algebra, Probability and Statistics, Analytic Geometry, Discrete mathematics, at the Graduate School of Computer Science, John Naisbitt University, Singidunum University and Trinity University. Her research interests include Artificial Intelligence, Deep Learning, Neural Networks, Nature-inspired Optimization Algorithms, Image Processing, Computer Networks. She is a member of IEEE, ACM, AMS, SIAM.

Dr. Vladan Devedzic is a Professor of Computer Science and Software Engineering at the University of Belgrade, Faculty of Organizational Sciences, Belgrade, Serbia .Since 2021, he is a Corresponding Member of the Serbian Academy of Sciences and Arts (SASA).His long-term professional objective is to bring close together ideas from the broad fields of Artificial Intelligence / Intelligent Systems and Software Engineering. His current professional and research interests include artificial intelligence, programming education, software engineering, intelligent software systems and technology-enhanced learning (TEL).He is the founder and the chair of the GOOD OLD AI research network.