The 7th International Conference on Information and Education Innovations (ICIEI 2022) will be held in Belgrade, Serbia (Virtual) during April 14-16, 2022. ICIEI 2022 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 ACM conference proceedings (ISBN: 978-1-4503-9619-6), which will be indexed by Scopus, Ei compendex, etc.
ICIEI 2021, ISBN: 978-1-4503-8948-8 (online),
Ei & Scopus
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
|Co-organized by||Technical Sponsored by|
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/iciei2022
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, Belgrade, Serbia 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.
Short biography: Francisco José García-Peñalvo did his undergraduate studies in Computing at the University of Salamanca and University of Valladolid and his Ph.D. at the University of Salamanca. Dr. García-Peñalvo is the head of the research group GRIAL (Research Group Interaction and eLearning). His main research interests focus on eLearning, Computers & Education, Adaptive Systems, Web Engineering, Semantic Web and Software Reuse. He has led and participated in over 50 research and innovation projects. He was Vice Chancellor for Innovation at the University of Salamanca between March 2007 and December 2009. He has published more than 300 articles in international journals and conferences. He has been guest editor of several special issues of international journals (Online Information Review, Computers in Human Behaviour, Interactive Learning Environments...). He is also a member of the program committee of several international conferences and reviewer for several international journals. Now, he is the Editor-in-Chief of the International Journal of Information Technology Research and the Education in the Knowledge Society Journal. Besides he is the coordinator of the multidisciplinary PhD Programme on Education in the Knowledge Society.
Prof. Lyudmila Mihaylova and her team are working to develop novel methods for autonomous intelligent systems: for sensing, tracking and decision making, machine learning and their engineering applications. Prof. Mihaylova undertook pioneering work on traffic flow estimation with particle filtering for intelligent transportation systems which was followed later with developments for large scale systems, including large scale transportation and video processing systems. She has experience with a range of image modalities, including optical, thermal, LIDAR, SAR and hyperspectral image processing. Previously she had academic positions with Lancaster University (2006-2013), University of Bristol (2004-2006), and research visiting positions with the University of Ghent, Belgium, the Katholic University of Leuven, Belgium and the Bulgarian Academy of Sciences, Bulgaria.
Her interests are in the area of nonlinear filtering, sequential Monte Carlo Methods, statistical signal processing and sensor data fusion. Her work involves the development of novel techniques, e.g. for high dimensional problems (including vehicular traffic flow estimation and image processing) and localisation and positioning in sensor networks. Prof. Mihaylova is an Associate Editor of the IEEE Transactions on Aerospace and Electronic Systems and an Associate Editor of Elsevier Signal Processing Journal. Prof. Mihaylova is a senior member of the IEEE, Signal Processing Society, the President of the International Society of Information Fusion (ISIF) and an ISIF board member.
Prof. Mihaylova has also been serving the scientific community as a member of the Programme/ Organising Committee of international conferences and symposia, including the International Conferences on Information Fusion, the American Control Conferences, EUSIPCO, conferences on Intelligent Transportation Systems and the German workshops on Multiple Sensor Data Fusion. She has given a number of invited talks, e.g. the keynote speech for the 5th IET International Conference on Wireless, Mobile and Multimedia Networks (2013), Beijing, China, and tutorials including for the EU Marie Curie ITN (2010, Sweden, 2012, Germany) and COST-NEARCTIS workshop (2010, Switzerland). Her research is funded by sponsors such as EPSRC, EU, MOD and industry.
Professor since 1994, Graduated respectively from Manchester University (UK) and Toulouse University (F). Industrial experience and Academic position at UC Berkeley, UC Irvine (USA) , HPI Berlin. Organised Training in software systems engineering for industry mainly on standards Systems. Published about 150 documents papers contract and supervised about 20 PHD and 50 masters thesis. Consultant on sofware systems engineering and associated standards to many big companies in defense , industrial and aeronautic companies.
I have worked at the University of Sunderland since 1992, having graduated from the University with a First Class Honours Degree in Combined Science (Computer Science and Physiology). I then went on to complete a PhD in applied artificial intelligence, focussing on the use of neural networks in predictive maintenance, which was awarded in 1996. During the 1990s I established a research centre – the Centre for Adaptive Systems – at the University, which became recognised by the UK government as a Centre of Excellence for applied research in adaptive computing and artificial intelligence. The Centre undertook many projects working with and for external organisations in industry, science and academia, and for three years ran the Smart Software for Decision Makers programme on behalf of the Department of Trade and Industry. I have successfully supervised in PhDs in fields ranging from neural networks, hybrid systems, and bioinformatics through to lean manufacturing, predictive maintenance, and business and maintenance strategies. I went on to become Associate Dean, and then Dean, of the School of Computing and Technology, covering Computer Science and Engineering; in 2008 I became the Dean of the Faculty of Applied Science, and in 2010 Pro Vice Chancellor of the University. I am, and have, been a member of many regional, national and international organisations linked to my own research or professional areas, or on behalf of the University. Since 1996 I have been the Editor-in-Chief of Neural Computing & Applications, an international scientific peer reviewed journal published by Springer Verlag. Prior to entering academia I worked in industry including several years working overseas on major civil and structural engineering projects, developing and implementing new computerised planning systems.
Since 2000, Paolo Terenziani is Full Professor at the Institute of Computer Science of DISIT, Università del Piemonte Orientale, Alessandria, Italy. The research activity of Paolo Terenziani has begun in 1987 and it concerns mainly the field of Artificial Intelligence, and specifically the areas of knowledge representation and automatic reasoning (with particular attention to representation and reasoning with temporal constraints), the fields of Temporal Databases and of Medical Informatics. Regarding these topics Paolo Terenziani has published more than 150 papers in peer-reviewed international journals, books, conference proceedings and workshops (in particular, he has achieved ten publications on the IEEE Transactions of Knowledge and Data Engineering in the last five years). Since 1997, Paolo Terenziani leads the GLARE project, in collaboration with the hospital San Giovanni Battista in Turin, for developing a prototype of a domain-independent software system for the acquisition, representation and execution of clinical guidelines. Since 2015 Paolo Terenziani is in the board of AIME (Artificial Intelligence in Medicine Europe). As early as in 1998, for his research activity, he won the “Artificial Intelligence Prize” from Italian Association for Artificial Intelligence. He has won “distinguished\best” paper awards in several international conferences, including AMIA 2012, Chicago, USA, November 2012 (more than 1000 submissions).