University of Mauritius in cooperation with University of Oldenburg presents: CALL FOR PAPERS
The 2nd 2026 International Conference on Recent Advances in Information Systems (ICRAIS 2026)
30th Sep – 2nd Oct, 2026, Mauritius
Hybrid Conference (In-Person & Online Participation)
Paper Submission Deadline: March 31, 2026
INTRODUCTION
The 2nd International Conference on Recent Advances in Information Systems (ICRAIS 2026), organised jointly by the University of Oldenburg, Germany, and the University of Mauritius, provides an international forum for the presentation and discussion of contemporary research in information systems. Building on its inaugural edition, the conference will address recent advances and emerging themes in areas such as artificial intelligence, data analytics, cybersecurity, and related technologies. ICRAIS 2026 will be held in a hybrid format, supporting both in-person and virtual participation, and will continues as an annual conference series following its first edition in Mauritius in September 2025..
The general conference topics are:
* Cybersecurity, Data Privacy and Protection
* Cloud Computing
* Blockchain and Distributed Ledger Technologies
* Internet of Things (IoT)
* Quantum Computing
* Human-Computer Interaction
* Sustainable IT Practices
* IT in support of Sustainable Development
* Digital Transformation and Innovation
* AI in Education
* ICT4D & ICT
* Ethics in Information Systems
SPECIAL TRACK: AI & MACHINE LEARNING
This track focuses on the latest developments and applications in Computer Vision, Natural Language Processing, and Generative AI. We welcome contributions presenting both fundamental research and practical implementations across various domains.
Focus Areas
* Computer Vision: From image processing to object detection, instance segmentation or multiple object tracking
* Natural Language Processing: Text analysis, language processing, and multimodal systems
* Generative AI: Text-to-image, text-to-text, and multimodal generative models
Application Domains
The track covers various fields of application such as:
* Agriculture: Precision farming, harvest prediction, plant disease detection
* Education: Personalized learning, automated assessment systems, intelligent tutoring systems
* Industry: Quality control, predictive maintenance, process optimization
* Fundamental Research: Novel architectures, optimization methods, modeling approaches
While these are our primary areas of interest, submissions are not required to align strictly with any specific theme mentioned above. We encourage innovative approaches that may span multiple areas or introduce novel perspectives.
Methodological Focus
We particularly welcome contributions addressing cross-cutting methodological approaches such as:
* Federated Learning and Distributed Training
* Prompt Engineering and LLM Optimization
* Multi-task and Transfer Learning
* Explainable AI and Interpretability
* Green AI and Resource Efficiency
This track is aimed at researchers, developers, and practitioners who wish to share their insights and experiences from both academic research and industrial applications. We encourage exchange between different domains and welcome presentations of cross-domain solution approaches.
HYBRID CONFERENCE
This year’s conference will be conducted as a hybrid event, integrating face-to-face sessions with an online programme to support international participation.
PUBLISHER
All accepted papers will be included, in the book series “Progress in Information Systems” published by Springer. The book is indexed in Scopus.
WORKSHOP ON AI AND EDUCATION
By Ines Oldenburg, Clemens Hillenbrand, and Jorge Marx Gómez
Track Abstract: AI and Education
Artificial Intelligence (AI) plays an increasingly important role in the digital transformation of education across all learning stages, including school education, higher education, professional training, and lifelong learning. This track focuses on technical, algorithmic, and system-oriented perspectives on AI-based educational technologies, while explicitly considering pedagogical and didactical requirements. Contributions are invited that address the development, implementation, and evaluation of AI-driven methods and systems supporting learning, teaching, and assessment. Topics of interest include, but are not limited to, machine learning and data-driven approaches for personalization and adaptation, learning analytics and educational data mining, intelligent tutoring systems, automated assessment, and AI-supported teacher assistance. The track also encourages research on cross-context learning scenarios and the transferability of AI solutions between educational domains, as well as on ethical, explainable, and trustworthy AI for education.
Example Topics (non-exhaustive)
* Machine learning models and algorithms for adaptive and personalized learning systems
* Learning analytics and educational data mining across educational contexts
* Intelligent tutoring systems and AI-based learning companions
* Conversational agents and large language models in educational applications
* Automated assessment, feedback generation, and grading techniques
* AI-based decision support systems for teachers and instructors
* Generative AI for educational content creation and curriculum support
* AI literacy, computational thinking, and skills development for lifelong learning
* Explainable, fair, and trustworthy AI in educational systems
* Data privacy, security, and ethical considerations in AI-supported education
* Evaluation frameworks, benchmarks, and performance metrics for AI in education
SUBMISSION OF PAPERS
Instructions
* Authors are invited to submit original papers, which have not been published elsewhere and which are not currently under consideration for another journal or conference.
* Papers should have a minimum length of 10 pages and a maximum length of 16 pages, in the Springer 1-column format including the bibliography and any possible appendices. Extra page fees will apply for papers above 12 pages. Submissions longer than 16 pages will be rejected without review.
* Papers must be submitted in pdf format. You can find the templates at the following link:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
* All submissions must be made through Easychair.
* The submission link is: https://easychair.org/conferences/?conf=icrais2026
* All papers will be submitted to Turnitin to check for plagiarism.
* Authors are requested to anonymise their papers before submission.
* All papers will be double-blind reviewed by at least two reviewers. The decision will be based on technical quality, relevance to scope of the conference, originality, significance, and clarity of the paper.
Important Dates: https://icrais.org/important-dates/
Registrations: https://icrais.org/registration/
Venue: Beach Resort in Mauritius (to be announced soon)
Questions and inquiries should be sent to icrais@uom.ac.mu