Research Article
Aim & Scope
Current Trends in Computing (CTC) is an international double blind peer-reviewed journal. It publishes original and high-quality unpublished research papers in all areas of computer sciences (engineerings). CTC gives oppurtunity to researchers and academic professors to share their knowledge with other researchers and professors in world-wide area.
The scope of CTC is as follows:
Modern Computing Paradigms:
• Quantum Computing and Quantum Information Systems
• Edge Computing and Fog Computing
• Green Computing and Sustainable IT
• Cloud Computing and Serverless Architectures
Security and Privacy:
• Cybersecurity and Network Security
• Privacy-Preserving Computing
• Blockchain and Distributed Ledger Technologies
• Cryptography and Information Security
Artificial Intelligence and Machine Learning:
• Artificial Intelligence
• Machine Learning
• Explainable AI and Interpretable Machine Learning
• Reinforcement Learning
• Natural Language Processing
• Computational Linguistics
• Neuroscience and applications
• Federated Learning and Distributed AI
Emerging Technologies:
• 6G Networks and Beyond
• Digital Twins
• Extended Reality (XR)
• Human-Computer Interaction
• Ambient Intelligence
• Computer Vision and Augmented Reality
Data Science and Analytics:
• Big Data Analytics
• Time Series Analysis
• Knowledge Graphs
• Recommendation Systems
• Bioinformatics
Author Guidelines
• Title of Manuscript: The title has to present the topic of the paper clearly.
• Abstract: For summarizing the paper. Healthy abstract should contain background/importance of research topic, purpose/hypothesis, design/methodology/ approach including procedures/data/ Observations, Findings and Conclusions.
• Introduction: State the objectives of the work and provide an adequate background, avoiding a detailed literature survey or a summary of the results.
• Related Works (Optional): In this section, previous studies conducted in the state of the art have to be reviewed.
• Materials and Methods/ Methodology/ Proposed Work: This section includes the new methodology /methodology applied/ proposed work.
• Results and Discussion: This section demonstrates the findings and provides analytical discussion.
• Conclusion(s) (and Future Work/ Optional): This section concludes the paper and highlights the contributions of the conducted study and sets the direction of the Future Work (Optional).
• References: relevant references have to be cited. You should follow the examples provided for correct citation:
a) For article: O. Dxxx, Title of Paper, Journal Name, Vol.x,N.y, pp.Aa-Bb (Year).
b) For book: J. Axxx, Book Name, Xxxx Press, City, (Year).
c) For conference: L.M. xxx and D. Pxxx, Title of Presentation, Conference Name, Location, (Year).
d) For thesis: F. Txxx, Title of Thesis. Ph.D. (or M.Sc.) Thesis. University Name, (Year).
e) Appendices (Optional): Source code, additional (results, figures, tables, equations), etc.
CTC only accepts latex for the article during the printing phase. You can access the journal template from the link .
During the submission, you must fill out the copyright form and upload it to the system. You can access the copyright form from the link.
Ethical Principles and Publication Policy
Peer Review Policy
Current Trends in Computing (CTC), applies double blind peer-review process in which both the reviewer and the author are anonymous. Reviewer selection for each submitted article is up to area editors, and reviewers are selected based on the reviewer’s expertise, competence, and previous experience in reviewing papers for CTC.
Every submitted article is evaluated by area editor, at least, for an initial review. If the paper reaches minimum quality criteria, fulfills the aims, scope and policies of CTC, it is sent to at least two reviewers for evaluation.
The reviewers evaluate the paper according to the Review guidelines set by editorial board members and return it to the area editor, who conveys the reviewers' anonymous comments back to the author. Anonymity is strictly maintained.
The double blind peer-review process is managed using “ULAKBİM Dergi Sistemleri”, namely Dergipark platform.
Originality and Plagiarism Policy
Authors by submitting their manuscript to CTC declare that their work is original and authored by them; has not been previously published nor submitted for evaluation; original ideas, data, findings and materials taken from other sources (including their own) are properly documented and cited; their work does not violate any rights of others, including privacy rights and intellectual property rights; provided data is their own data, true and not manipulated. Plagiarism in whole or in part without proper citation is not tolerated by CTC. Manuscripts submitted to the journal will be checked for originality using anti-plagiarism software.
Price Policy
* CTC does not request any fees for article submission, reviewing and editing processes, page-layout and publication (page or color fees).
* CTC does not pay any fees to authors, reviewers, editors and editorial board members.
* All papers on CTC are free to read and download.
* All papers on CTC are archived with LOCKSS (Lots Of Copies Keep Stuff Safe) system through TÜBİTAK ULAKBİM DergiPark.
* CTC does not accept announcements, advertisements, sponsorships, etc. due to its publication policy.
* CTC is an open-access journal that does not request any subscription fees.
* We do not offer a reprint service for those requiring professional-quality reproductions of papers.
* All expenses of the CTC journal are covered by Karabuk University.
Indexes
Other Indexes
Journal Boards
Editor in Chiefs
Associate Editors
Kürşat M. KARAOĞLAN, Ph.D. is currently an Assoc. Prof. Dr. in the Department of Computer Engineering at Karabük University, Turkiye. He received his bachelor's degree in Computer Engineering from Selcuk University in 2008, and went on to complete his master's degree in Mechatronics Engineering at Karabük University. He earned his PhD in Computer Engineering from the same institution.
Dr. KARAOĞLAN teaches Image Processing, Programming, and Web Programming courses at the undergraduate level, as well as Natural Language Processing course at the graduate level. His research interests include Deep Learning, Computational Linguistics, Natural Language Processing, Machine Learning, and Data Mining. In addition to teaching, he conducts research in these areas, supervises undergraduate and graduate student research projects, and participates in academic and administrative committees.
Omar Dakkak is an Assistant Professor at the Faculty of Engineering, Department of Computer Engineering, Karabük University, Türkiye. He received his B.E. degree in Telecommunication Engineering from Ittihad University (Syria). He completed his Ph.D. in Computer Science and M.Sc. from Universiti Utara Malaysia (UUM). In his Ph.D., he worked on scheduling problems in Grid Computing, analyzing the performance of the scheduling policies based on real workloads for better Quality of Service (QoS) criteria and building scheduling mechanisms considering High-Performance Computing (HPC) applications requirements through simulation approach using real workloads. His research interests include Scheduling Algorithms, Performance Evaluation, Optimization in Scheduling and Analyzing Datasets on HPC platforms and recently he carried out research in the field of Generative AI in Cybersecurity. He conducted several studies in other research areas such as Cloud Computing, IoT, WAN, IoV, energy efficiency for WSN, MANET and modeling and simulation for Electrical systems.
Managing Editors
Language Editor
Journal Secretary
Area Editors
Yousef Fazea is an Assistant Professor in the Department of Computer Sciences and Electrical Engineering at Marshall University, Huntington, West Virginia, USA. He earned his Ph.D. in Computer Science from Universiti Utara Malaysia in 2017. Dr. Fazea serves as an editor for numerous esteemed journals and special issues, including a book in Springer Lecture Notes on Data Engineering and Communications Technologies, the International Journal of Reconfigurable and Embedded Systems, MDPI Processes, MDPI Quantum Report, Southeast Europe Journal of Soft Computing, Emerging technologies and Electronic Integrated Computer Algorithm Journal.
With a prolific academic career, Dr. Fazea has published over 60 peer-reviewed scientific papers indexed in ISI and Scopus databases, authored two books, was editor of a Springer book, contributed five book chapters, and holds a patent. His research excellence has been recognized with best paper awards at IEEE ISCAIE-2017, IEEE ICCIS-2020, and Springer IRICT-2023. He has received several prestigious accolades, such as the Summer Research Award for two consecutive years (2022 and 2023), the John Marshall Research Award 2024, and nominations for the Pickens-Queen Teacher Award 2022. Additionally, he has mentored students for the Summer Undergraduate Research Experience Award 2023, won a bronze medal at I-RIA-2019, and was the second runner-up in the 3MT-2016 competition. His outstanding contributions to student and alumni development were acknowledged in 2019.
Dr. Fazea is a Senior Member of the IEEE and an active member of the IEEE Communications Society, involved in various executive and counselor roles since 2018. He is also a member of the Internet Society (ISOC) since 2014 and participates in the ISOC New York and Washington D.C. chapters. He serves as a reviewer for leading journals in Computer Science and Information Technology, including the IEEE Internet of Things Journal, IEEE Internet of Things Magazine, IEEE Access Journal, OSA Optics Express, Elsevier Microelectronics Journal, Elsevier Microwave and Optical Technology Letters, Elsevier International Journal of Electronics and Communications, and Fiber and Integrated Optics-Taylor and Francis.
Dr. Yousef Fazea’s research interests include optical and wireless communications, channel modeling and network security, next-generation computing, and enabling and emerging technologies.
Nataliia Lotoshynska received a degree of engineer-technologist of printing production at Ukrainian Academy of Printing, Lviv, Ukraine in 1992 and Ph.D in Engineering Sciences at Ukrainian Academy of Printing, Lviv, Ukraine in 1998. Currently a Associate Professor of the Department of Information Technologies of Publishing at Lviv Polytechnic National University, Lviv, Ukraine, since 2002. She is the author or co-author of more than 150 scientific papers, four scientific manuals and a textbook, has five copyright certificates for inventions and patents. Her research interests include information technology and systems, 3D modeling technologies, data analysis, image processing, and data protection.
Academic and Professional Career
Dr. Abdulkadir Taşdelen serves as an Assistant Professor in the field of Software Engineering at Ankara Yıldırım Beyazıt University. He conducts research in areas such as Computer Science and Engineering, Bioinformatics, Artificial Intelligence, and Blockchain Technologies.
Education Background
Dr. Taşdelen obtained his doctoral degree in Computer Engineering from Ankara Yıldırım Beyazıt University's Institute of Natural and Applied Sciences.
Research and Publications
Dr. Taşdelen has authored a series of publications in the fields of computer science and bioinformatics. He is particularly known for his research involving artificial intelligence and deep learning methods in topics such as pre-miRNA classification and COVID-19. Additionally, he has presented at various international conferences and participated in supported projects. His recent studies also focus on blockchain technologies. Currently, he works as a postdoctoral researcher at the Faculty of Engineering, International Islamic University Malaysia.
Academic and Administrative Roles
In addition to his academic career, Dr. Taşdelen has held various administrative positions. He served as the Deputy Dean at Ankara Yıldırım Beyazıt University and provided consultancy at the Council of Higher Education.
Kemal Akyol received B.Sc. degree in the Electronic and Computer Systems Education Department from Gazi University, Ankara/ Türkiye, and also in the Computer Engineering Department from Ondokuz Mayıs University, Samsun/Türkiye. He received his M.Sc. and Ph.D. degrees in Computer Engineering from the Natural and Applied Sciences department at Karabuk University, Karabuk/Türkiye. His main areas of interest include data mining, machine learning, image processing, decision support systems, and expert systems.
Publishing Boards
Prof Dr Ismail Rakip Karas was the Member of Executive Committee in CAYDAG-TUBITAK (A committee under the Scientific and Technological Research Council of Turkey) between 2017 and 2019. He has also carried out administrative duties such as Head of Computer Science Division of the Department, Director of Safranbolu Vocational School, Dean of Safranbolu Fine Art and Design Faculty, and acting Dean of Faculty of Architecture in the Karabük University. Currently, he is the Deputy Rector in the same university. As a keynote speaker, Prof Karas has been invited to the different high level conferences. He is the author of more than a hundred international and Turkish publications and papers on various areas of Geoinformation Science. He has organized and chaired some important conferences and workshops such as Geo-Advances 2017. He is in the editorial board of "International Journal of Geo-Spatial Knowledge and Intelligence", "American Journal of Geographic Information System", and some others. He has involved in Tubitak, EU, and other national and international projects and got various awards and supports during his research activities. For more information please visit; http://www.ismailkaras.com
