The 4th International Conference on Intelligent Systems and Data Science (ISDS 2026)

Yuan Ze University, Taiwan, 14-15 November, 2026

Call for papers

Following the success of the first ISDS 2023 organized at Can Tho University (CTU), the second ISDS 2024 organized at Nha Trang University, the third ISDS 2025 at CTU, this year, the ISDS 2026 will be held at Yuan Ze University, Taiwan. Objectives of this international conference is to attract domestic and foreign researchers to participate and present outstanding and recent research in the field of ICT. This is an opportunity for scientists to meet, exchange, and cooperate. The ISDS is also a place for students to report and learn new results in the field of ICT. This ISDS conference looks at state-of-the-art and original research issues (in the topics of intelligent systems and data science).

Topics of the conference relate to (but not limited to):

Track 1: Intelligent Systems & Recommender Systems
Track 2: Data Science & Machine Learing
Track 3: Image Processing & Pattern Recognition
Track 4: Natural Language Processing

Important dates

Deadline for submission: 30-July-2026 -> extented to 14-Aug-2026 (hard deadline)
Acceptance notification: 07-Sept-2026
Deadline for final papers: 14-Sept-2026
Conference dates: 14-Nov-2026 - 15-Nov-2026

Submission guidelines

All papers must be original and not simultaneously submitted to another journal or conference. Authors are invited to electronically submit full papers in English. The submitted papers must be in PDF in the LNCS/CCIS one-column page format. The length of submitted papers should be from 12-15 pages (for long papers) and 6-8 pages (for short papers). All papers have to be written in the English language.

We encourage authors to use the LaTeX template rather than the Word template. If two papers are of similar quality, preference will be given to the paper prepared in LaTeX.

Authors are invited to submit their papers at the EasyChair web site using the following URL: https://easychair.org/conferences/?conf=isds2026

Publications

All accepted papers will be published through one of the following methods (based on the review results):

+ Top 10% papers will be published by Journal on Information Technologies & Communications (ICT Research, ISSN 1859-3534)
- Registration fee: Vietnamese and Taiwanese authors: 150 USD;
- Foreign authors: 200 USD

+ 35% papers will be published by Springer Verlag in Communications in Computer and Information Science (CCIS, Scopus Q3).
- Registration fee: Vietnamese and Taiwanese authors: 250 USD;
- Foreign authors: 300 USD

+ 15% papers will be published by CTU Journal of Innovation and Sustainable Development (CTUJoISD, Scopus Q4), https://ctujs.ctu.edu.vn. These papers will be reformated according to the CTUJoISD template by the authors.
- Registration fee: Vietnamese and Taiwanese authors: 100 USD;
- Foreigner authors: 150 USD

Moreover, selected papers, after further revision and extension (at least 30%), will be considered for publication in special issues of the Springer Nature Computer Science (SNCS) journal. Scopus, Q1.

Scopus, Q3

Keynote 1: Is a code generated by ChatGPT or written by a human?

Recently, large language models have achieved state-of-the-art performance in code generation. Models such as ChatGPT can generate syntactically correct, highly optimized, and human-like code with remarkable accuracy. Additionally, tools like GitHub Copilot further enhance these models by assisting developers in writing high-quality code. As a result, LLMs are increasingly being adopted for code generation and programming-related tasks, transforming modern software development practices.

While LLMs offer numerous benefits, their widespread use also raises critical concerns regarding academic integrity, authorship attribution, and copyright infringement. One observes that students increasingly rely on AI systems to complete assignments and projects, and job candidates to misrepresent their programming abilities during technical interviews while they are not supposed to. Consequently, the ability to distinguish between human-written and AI-generated code is becoming increasingly important and leads to a growing interest in reliable methods for the automatic detection of AI-generated code. We will present some of the most promising methods used to address this issue, and their limits.

Prof. Dr. Franck LEPREVOSTHead of LACS (Laboratory of Algorithmics, Cryptology and Security), Co-Head of the Mathematics of Security Lab, University of Luxembourg.

Born in Cherbourg in 1965, Franck Leprévost is a French mathematician and computer scientist. He is professor at the University of Luxembourg since 2003, and was its Vice-President from 2005 to 2015. Before joining the University of Luxembourg, he was a researcher at the CNRS (Paris, France) and a professor at the University Joseph Fourier (Grenoble, France). He was researcher or visiting professor at many universities and member of the board of directors or member of the scientific council of private and public entities (ATTF, CEPS, FNR, Luxtrust S.A., UNICA, etc.). His scientific interests include algorithmic number theory, mathematics of cryptology, convolutional neural networks, deep learning, artificial intelligence and evolutionary algorithms on the one hand, and management of higher education and research organizations, international rankings and the civilizational role of universities on the other hand. He has published eight scientific journals, over 75 scientific peer-reviewed articles. His reports for the European Parliament, in particular his contribution to the report on the Echelon network, have had a substantial technical and legal impact in most European countries. Professor Leprévost's expertise in the field of higher education and research as well as his managerial skills are frequently solicited by organizations, governments and companies worldwide.