The 8th International Conference on Information and Education Innovations (ICIEI 2023) will be held in Manchester, United Kingdom during April 13-15, 2023. ICIEI 2023 aims to bring together researchers around the world to exchange their experiences. The conference will be held annually to provide an ideal platform for people to share new ideas, and research results about all aspects of Information and Education Innovations, and discuss the practical challenges encountered and the solutions adopted. It is one of the leading international conferences for presenting novel and fundamental advances in the field.
Attention: The organizing committee will not ask delegates to provide credit card information for any purpose. The registration will be completed only via conference system. Please be alert.
Accepted and presented papers would be published by conference proceedings , which will be indexed by Scopus, Ei compendex, etc.
ICIEI 2022, ISBN: 978-1-4503-9619-6 (online soon)
ICIEI 2021, ISBN: 978-1-4503-8948-8 (online), Ei & Scopus index
ICIEI 2020, ISBN: 978-1-4503-7575-7 (online), Ei & Scopus index
ICIEI 2019, ISBN: 978-1-7281-3322-5 (online), Ei & Scopus index
ICIEI 2018, ISBN: 978-1-5386-5382-1 (online), Ei & Scopus index
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The manuscript is in one column format, regular papers must have 8-10 pages. Manuscripts must be written in English and follow the instructions at Manuscript Formatting and Templates.
To ensure the high quality of the accepted papers, all submissions will be peer-reviewed.Please only submit original material where copyright of all parts is owned by the authors declared and which is not currently under review elsewhere.
Online Submission System:https://www.zmeeting.org/submission/iciei2023
ICIEI 2021, ISBN: 978-1-4503-8948-8, online: https://dl.acm.org/doi/proceedings/10.1145/3470716
ICIEI 2020, ISBN: 978-1-4503-7575-7, online: https://dl.acm.org/doi/proceedings/10.1145/3411681
ICIEI 2019, ISBN: 978-1-4503-7169-8, online: https://dl.acm.org/citation.cfm?id=3345094
ICIEI 2018, ISBN: 978-1-4503-6440-9, online: https://dl.acm.org/citation.cfm?id=3234825
Xin-She Yang obtained his DPhil 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 Reader in Modelling and Optimization at Middlesex University, an elected Bye-Fellow at Cambridge University and Adjunct Professor at Reykjavik University (Iceland). He is the Chair of the IEEE CIS Task Force on Business Intelligence and Knowledge Management. He has given many keynote talks at over 20 international conferences such as IEEE Mendel'12 (Czech Republic), BIOMA'12 (Slovenia), EU/ME'14 (Turkey), ICCS'15 (Iceland), SIBGRAPI'15 (Brazil), OIPE'16 (Italy), ISCBI'16 (Switzerland), BDIOT'17 (UK) and HS'17 (Spain). He has published more than 250 articles in peer-reviewed journals and 20 books with over 32000 citations. He has been on the prestigious list of Clarivate Analytics/Web of Science Highly Cited Researchers in 2016, 2017 and 2018.
Milan Tuba is the Vice Rector for International Relations, Singidunum University, London, United Kingdom and was the Head of the Department for Mathematical Sciences at the State University of Novi Pazar and the Dean of the Graduate School of Computer Science at John Naisbitt University. He received B. S. in Mathematics, M. S. in Mathematics, M. S. in Computer Science, M. Ph. in Computer Science, Ph. D. in Computer Science from the University of Belgrade and New York University. From 1983 to 1994 he was in the U.S.A. first at Vanderbilt University in Nashville and Courant Institute of Mathematical Sciences, New York University and later as Assistant Professor of Electrical Engineering at Cooper Union School of Engineering, New York. During that time he was the founder and director of Microprocessor Lab and VLSI Lab, leader of scientific projects and theses supervisor. From 1994 he was Assistant Professor of Computer Science and Director of Computer Center at University of Belgrade, from 2001 Associate Professor, Faculty of Mathematics, University of Belgrade, from 2004 also a Professor of Computer Science and Dean of the College of Computer Science, Megatrend University Belgrade. He was teaching more than 20 graduate and undergraduate courses, from VLSI Design and Computer Architecture to Computer Networks, Operating Systems, Image Processing, Calculus and Queuing Theory. His research interest includes nature-inspired optimizations applied to computer networks, image processing and combinatorial problems. Prof. Tuba is the author or coauthor of more than 200 scientific papers and coeditor or member of the editorial board or scientific committee of number of scientific journals and conferences. He was invited and delivered around 60 keynote and plenary lectures at international conferences. Member of the ACM, IEEE, AMS, SIAM, IFNA.
For all general questions, please contact Dr. Jane Wilson.
Invitation letters will not be provided until registration is completed.