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Prof. Dr. Andreas Pester Appointed Editor-in-Chief of ATAIML
06-11-2022, Acadlore News

We are pleased to announce that Prof. Dr. Andreas Pester has been appointed Editor-in-Chief of Acadlore Transactions on AI and Machine Learning (ATAIML).

Prof. Dr. Andreas Pester currently serves as professor for machine and deep learning at the British University in Egypt in Sherouk. He was and is involved in more than 20 EU- and national projects, as project leader or as collaborator, including Erasmus +, TEMPUS, MINERVA, etc. He was a co-organizer of the IEEE Global Engineering Education Conference (EDUCON’21), Interactive Collaborative and Blended Learning (ICBL) conferences from 2008 – 2019, and is member of the PC of several other conferences. In 2021, he chaired the EDUCON 21 conference 12th edition in Vienna. He was awarded with the EDUCON Meritorious Service Award. He is a member of IEEE, IAOE and IGIP. His research interests had been in online simulation. In the last six years, he concentrated on deep learning, especial GAN and GDL architectures and mood data analysis, and taught modules like Artificial neural network, Data analysis and visualization, Deep Learning, and Natural language processing. He is the author and co-author of more than 75 publications.

Acadlore Transactions on AI and Machine Learning (ATAIML) ( is an open access journal of computer science, artificial intelligence, machine and deep learning, graph neural networks, synthetic data, and other related fields, theory, methods, as well as interdisciplinary applications, algorithms, data and implementations on different platforms. ATAIML offers an advanced meeting place for studies related to AI and machine learning topics and their applications. The journal welcomes original submissions in various forms, including reviews, regular research papers, and short communications as well as Special Issues on particular topics. The journal has a special focus on the relation between AI and extended reality, to synthetic data, and to graph neural networks.

More information about Prof. Dr. Andreas Pester and his research works can be found at: ORCID, ResearchGate, GoogleScholar