International Journal of Computational Systems Engineering
- Editor in Chief
- Prof. Valentina E. Balas
- ISSN online
- 2046-3405
- ISSN print
- 2046-3391
- 4 issues per year
IJCSysE is a fully refereed scholarly international journal that provides a forum for professionals, academics and researchers in the fields of computational algorithms, intelligent information systems, computer applications and other related areas of science and engineering. It focuses on the state-of-the-art of aspects of theoretical analysis and practical application with emphasis on computational methods and systems engineering.
IJCSysE is an Open Access journal and article processing charges (APCs) apply.
Topics covered include
- Fuzzy systems, rough sets
- Evolutionary computation, neural networks
- Human-machine learning systems
- Knowledge discovery, data mining
- Approximate reasoning, artificial intelligence/expert systems
- Knowledge-based/management systems, decision support systems
- E-education/commerce/governance systems
- Social systems analysis, social computing
- Behavioural modelling
- Computer games, virtual reality, CAD
- Computer graphics/multimedia
- Computing practices/applications
- Software engineering/management
- Human-computer interaction
- Real-time systems
Objectives
The objectives of IJCSysE are to establish an international forum to report latest developments from interdisciplinary computational algorithms, intelligent information systems and computer applications. It aims to encourage those emerging theories, techniques and applications which help to understand complex behaviours and patterns of all engineering and social systems
Readership
IJCSysE provides a vehicle to help professionals, academics and researchers working in the fields of science, technology, engineering and possibly social/education studies to disseminate information and to learn from each other's work.
Contents
IJCSysE publishes original papers, review papers, and occasional technical reports. Special Issues devoted to important topics in interdisciplinary computational algorithms, intelligent information systems and computer technology will occasionally be published.
Browse issues












Editor in Chief
- Balas, Valentina E., Aurel Vlaicu University of Arad, Romania
(balasdrbalas.ro)
Regional Editor Asia Pacific
- Chen, Wu-Hua, Guangxi University, China
Regional Editor Europe
- Pintea, Camelia, Technical University of Cluj Napoca, Romania
Regional Editor Middle East
- Dey, Rajeeb, National Institute of Technology, Silchar, India
Regional Editor North America
- Modi, Bhuvan, AT&T, USA
Regional Editors Americas
- Oliveira, Gustavo H. C., Federal University of ParanĂ¡ , Brazil
Editorial Board Members
- Al-Khannak, Rafid, Buckinghamshire New University, UK
- Alinejad-Rokny, Hamid, University of New South Wales, Australia
- Arif, Muhammad, Superior University Sargodha Campus, Pakistan
- Behera, H. S., Veer Surendra Sai University of Technology (VSSUT), India
- Bhatnagar, Vishal, Ambedkar Institute of Advanced Communication Technologies and Research, India
- Connor, Andy, Auckland University of Technology, New Zealand
- Fan, You-Ping, Wuhan University, China
- Kuchaki Rafsanjani, Marjan, Shahid Bahonar University of Kerman, Iran
- Liao, Mingyu (Gloria), National Kaohsiung University of Applied Sciences, Taiwan, Province of China
- Mabrouk, Mai S., Misr University for Science and Technology, Egypt
- Mishra, Vimal, Government Girls Polytechnic , India
- Ozel, Cenap, Dokuz Eylul University, Turkey
- Pavone, Mario, University of Catania, Italy
- Raja, S.P., Vellore Institute of Technology, India
- Ratnayake, R.M. Chandima, University of Stavanger, Norway
- Sallam, Amer, University of Hyderabad, India
- Samui, Pijush, National Institute of Technology Patna, India
- Sangaiah, Arun Kumar, VIT University, India
- Sarkar, Joy Lal, Amrita Vishwa Vidyapetham, India
- Senthilkumar, Sukumar, Vellore Institute of Technology, India
- Shen, Yan-jun, Three Gorges University , China
- Singh, Jasvir, Guru Nanak Dev University, India
- Song, Li-Zhong, Naval University of Engineering, China
- Song, Zhuoyi, University of Sheffield, UK
- Stan, Sergiu-Dan, Technical University of Cluj-Napoca, Romania
- Verma, K.D., Shri Varshney College of Post Graduate Studies and Research, India
- Wang, Tony, University of West of England , UK
- Xiao, Shen-Zhong, Guangdong AIB College, China
- Xu, Jian-sheng, Chinese Academy of Sciences, China
- Yao, Qiong-hui, Naval University of Engineering, China
- Yu, Hui, Three Gorges University, China
- Yu, Zhou, University of Leeds, UK
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- There is an article processing charge to publish in this journal of USD $1600. You can find more information on Open Access here. Authors who have submitted articles prior to 15 August 2024 will still have a choice of publishing as a standard or an Open Access article.
- All articles for this journal must be submitted using our online submissions system.
- View Author guidelines.
Submission process
Journal news
Smells like clean data
6 August, 2025
A new approach to sniffing out user behaviour on social networks could improve how service providers understand and respond to their users' needs. The work discussed in the International Journal of Computational Systems Engineering offers a more accurate way to track "browsing trajectories", the path a user takes through a sequence of pages and content. Critically, the approach cleans up this data by filtering out the digital noise that has always been the bane of such analyses [...]
More details...Speak easy
8 August, 2025
Research conducted at a Chinese university and reported in the International Journal of Computational Systems Engineering has looked at how machine learning and big data techniques might be used to identify the most influential factors in English language learning for non-English majors. The researchers analysed the academic progress of 1,805 students using a refined machine learning model and found that student motivation was the single most important driver of improvement, outweighing even the teaching methods or mode of instruction [...]
More details...AI supports career choices for vocational students
25 August, 2025
A new research-led recommendation model could make vocational education more effective in guiding students towards suitable employment after graduation, according to research in the International Journal of Computational Systems Engineering. The approach has developed in response to increasing concerns in China and globally regarding youth unemployment and the efficacy of vocational training systems. As such, the algorithm reflects a more subtle approach to matching students with career paths that align better with their individual strengths and preferences [...]
More details...Keep up-to-date
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