About the Intelligent Systems Conference
Advancing Artificial Intelligence, Machine Learning, and Computer Vision
Founded in 2015, the Intelligent Systems Conference (IntelliSys) has spent a decade building a reputation for rigorous peer review and international reach, drawing participants from over 50 countries to advance the theory, methods, and applications of artificial intelligence and machine learning.
The conference provides a high-level forum for original research in AI, machine learning, and intelligent systems, fostering critical dialogue across disciplines and examining the societal and industrial implications of AI-driven technologies.
IntelliSys continues to shape the research agenda of the global AI and machine learning community.
Attended by researchers from the world's most prestigious universities
Why attend this computer science conference?
Proceedings
Proceedings will be published in Springer series "Lecture Notes in Networks and Systems".

Awards
The conference recognizes outstanding papers and posters presented at the conference. Awards are presented across various categories, with recipients recognized during the conference closing.
Keynote Talks
Our speakers represent the cream of computing research and development practitioners.
International Audience
Join a vibrant international community from 60+ countries on Cloud Computing, and HPC Conferences.
Past Speakers
A selection of past keynote talks from Intelligent Systems Conference.
Previous Editions
Explore past editions of Intelligent Systems Conference.
Frequently Asked Questions
See the Call for Papers page for tracks, deadlines, formatting templates and submission instructions.
- Manuscripts should generally be limited to 18 pages for the main text (excluding references and appendices of upto 7 pages). Submissions exceeding this limit may be considered at the chair's discretion, particularly for review or survey articles.
- Manuscripts should present original work and fall within the scope of the conference topics.
- It is the authors' responsibility to ensure the accuracy of all quotations, citations, figures, maps, and tables within their manuscript.
- The abstract should adhere to the 150-250 word limit as per the conference guidelines.
- Figures and tables must be positioned within the manuscript where they are discussed and should be clear and easily readable.
- All figures, tables, references, appendices, algorithms, annexures, and supplementary materials must be clearly numbered, properly cited in the text.
- Tables must be neatly aligned within the page margins and must not overflow the page boundaries.
- Figure captions and table headings should be concise, unique, and ideally limited to a maximum of two lines.
- References should be formatted correctly and consistently, including all the necessary details such as author names, paper titles, publication sources, and years. Every reference listed must be cited in the main text.
- The use of foreign languages in the manuscript is not allowed unless accompanied by a corresponding English translation.
- The manuscript must adhere to the provided template.
Submissions will be reviewed anonymously (double-blind). Therefore, your manuscript must not reveal your identity or affiliation. Specifically: omit author names and affiliations from the manuscript; anonymize citations and mentions of your own prior work that is closely related to the submitted paper; and exclude funding or other acknowledgments.
Each paper will undergo review by at least three regular program committee members or two senior program committee members. Acceptance will be based on novelty, technical depth, elegance, impact (practical or theoretical), and presentation quality.
- Original: The paper should explore a new idea, project, or issue; offer new insights on existing research; present new research; or provide a novel perspective on existing information.
- Engaging: The presentation should be interactive and engage the readers.
- Significant: The paper should address and discuss key issues related to improving the effectiveness of current techniques, and its content should be easily understood and widely applicable.
- Quality: Claims made in the paper must be substantiated with adequate data, reference relevant existing work, and honestly acknowledge any limitations.
- Clear: The intended outcomes should be easily understood.
- Relevant: The paper's topic must be relevant to at least one of the conference's designated tracks.
The conference permits the responsible use of Generative AI (GenAI) tools in manuscript preparation. Authors are required to observe the following:
- Declare Usage – Any use of GenAI must be disclosed in the manuscript (e.g., in a Declaration on Generative AI section).
- Maintain Responsibility – Authors must critically review and edit AI-assisted text; unedited AI output is not acceptable.
- No AI Authorship – GenAI tools cannot be listed as authors. Authorship is limited to humans who take full responsibility for the work.
- Limit Role of AI – GenAI may support drafting and language refinement, but the development of scientific ideas, arguments, results, and conclusions must be carried out by human authors.
- Accountability – Authors remain fully accountable for the accuracy, originality, and integrity of their manuscripts.
Note: Non-compliance with these guidelines will be treated as academic misconduct and may result in the removal of published work.
Yes - registered, presenting authors can request an invitation/visa support letter. Contact us via the Contact page once registered.
Registration Categories
- Author: Authors are those presenting a paper at the conference. Each author registration allows presentation of one paper only, and includes access to keynotes, paper sessions, and all conference activities.
- Participant: Participants are attendees who do not submit or present a paper but wish to attend presentations, keynotes, and sessions.
Payment Information
- Registration fees must be paid in advance. We accept most major international credit and debit cards.
- Payments can also be made via bank transfer. If you wish to pay by bank transfer, please contact us at [email protected] to request an invoice with the necessary payment details.
Registration Policy
- Each registration is valid for one delegate only.
- Each author registration permits the presentation of one paper.
- All registrations are final and non-refundable.
- Registrations are non-transferable to another delegate.
What People Say
“I am incredibly proud of what we have accomplished together.... It was an inspiring conference, and I'm excited about the future of this work and the connections made.”
“It was a great chance to discuss our approach, insights from the experimental setup, and the role of structured data acquisition in context-aware systems. Thank you for the professional and engaging experience.”
“A big thank you to the IntelliSys community for fostering such engaging discussions across multiple tracks such as Artificial Intelligence, Large Language Models (LLM's), Machine Learning and intelligent Systems.”
“It was a great experience to share this research, engage with leading experts, and gather valuable feedback that will shape the next stages of my PhD journey.”
Photos from 2025
Conference Tracks
Artificial Intelligence
- Deep Learning
- Large Language Models (LLMs)
- Computational Intelligence
- Natural Language Processing (NLP)
- Artificial General Intelligence (AGI)
- AI Governance
- Quantum Machine Learning
- Explainable AI
- Responsible AI
- AI for Healthcare
Computer Vision
- Human Computer Interaction
- Pattern Recognition
- Image and Video Processing
- Vision-Based Security
- Brain-Machine Interfaces
- Cloud & Edge-enabled Vision Systems
- Sentiment Analysis
- Multimodal Systems
- 3D Vision Systems
- Virtual, Augmented & Mixed Reality
IoT & Cyber-Physical Systems
- IoT Architectures and Protocols
- Wearables
- Sensing and Sensor Networks
- Smart Cities
- Geographic Information Systems
- AI for Energy
- Model-Driven Architecture
- ADAS & Autonomous Vehicles
- Digital Twins
- Decentralized Systems
Intelligent Systems
- Agents and Multi-agent Systems
- Robotics
- Pervasive Computing
- Distributed and Hybrid AI
- AI for Climate Change & Sustainability
- Affective Computing
- Secure Architectures
- Neuromorphic Systems
- Adaptive Intelligent Systems
- Decision-Making Systems
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