10th International Conference on Computer Science, Information Technology and Artificial Intelligence (COMIT 2026)
May 23 ~ 24, 2026, Vancouver, Canada
https://comit2026.org/index
Scope & Topics
The 10th International Conference on Computer Science, Information Technology and Artificial Intelligence (COMIT 2026) will provide an outstanding international forum for the presentation and exchange of innovative research results, cutting edge methodologies, and advanced applications across the broad domains of Computer Science, Information Technology, and Intelligent Systems. As digital technologies continue to transform every aspect of society, COMIT 2026 aims to bring together leading researchers, academics, industry professionals, and practitioners to discuss emerging trends, share breakthrough discoveries, and explore the future of intelligent computing.
The conference seeks to foster collaboration between academia and industry by offering a dynamic platform for presenting theoretical contributions, experimental studies, practical implementations, and real world case analyses. Participants will have the opportunity to engage with state of the art developments in artificial intelligence, machine learning, data science, distributed systems, cybersecurity, next generation networks, and a wide range of interdisciplinary technologies shaping the next decade of innovation.
Authors are invited to contribute to the conference by submitting high quality articles that present original research results, ongoing projects, comprehensive survey papers, and industrial experiences that demonstrate significant advances in the following areas, but are not limited to:
Topics of interest include, but are not limited to, the following
Machine Learning and Artificial Intelligence
- Machine Learning Theory and Foundations
- Optimization for ML
- Deep Learning and Representation Learning
- Reinforcement Learning and Sequential Decision Making
- Generative AI and Foundation Models
- Multimodal Learning (Vision Language, Speech Language, etc.)
- Federated, Distributed and Edge AI
- Trustworthy, Explainable and Responsible AI
- AI Safety, Alignment and Ethics
- Human AI Interaction and Interactive Learning
- AI for Science, Engineering and Healthcare
- Computational Neuroscience and Cognitive Modeling
Natural Language Processing and Speech Technologies
- Large Language Models and NLP Foundations
- Text Understanding, Summarization and Generation
- Machine Translation and Multilingual NLP
- Information Retrieval and Text Mining
- Dialogue Systems and Conversational AI
- Speech Recognition, Synthesis and Audio Understanding
Computer Vision, Graphics and Robotics
- Computer Vision and Image Understanding
- 3D Vision, AR/VR and Spatial Computing
- Neural Rendering and Generative Graphics
- Vision Language Models
- Robotics Perception, Planning and Control
- Autonomous Vehicles and Intelligent Transportation
- Human Robot Interaction
- Multi Agent and Swarm Systems
Data Science, Big Data and Knowledge Systems
- Data Mining and Knowledge Discovery
- Big Data Systems and Scalable Analytics
- Database Systems and Data Engineering
- Graph Learning and Knowledge Graphs
- Data Privacy, Fairness and Governance
- Data Driven Decision Systems
Systems, Cloud, Edge and High Performance Computing
- Distributed Systems and High Performance Computing
- Cloud, Edge and Serverless Computing
- Parallel Computing and Scalable Architectures
- Operating Systems and Virtualization
- AI Hardware, Accelerators and Efficient ML Systems
- Model Compression, Quantization and Efficient Inference
- Internet of Things (IoT) and Cyber Physical Systems
- Real Time and Embedded Intelligent Systems
Networking, Communications and Cybersecurity
- Next Generation Networks (5G/6G)
- Networked AI Systems
- Software Defined Networking and Network Virtualization
- Network Security and System Security
- Cryptography and Secure Protocols
- Privacy Preserving Computation (MPC, DP, Homomorphic Encryption)
- Blockchain and Decentralized Systems
Algorithms, Theory and Computational Foundations
- Algorithms and Complexity Theory
- Computational Learning Theory
- Information Theory and Coding
- Quantum Computing and Quantum Information
- Computational Biology and Bioinformatics
- Modeling, Simulation and Optimization
Emerging Technologies and Interdisciplinary Computing
- Digital Twins and Intelligent Simulation
- Smart Cities and Urban Computing
- Health Informatics and Biomedical AI
- Climate, Sustainability and Environmental AI
- Geospatial AI and Remote Sensing
- Human Computer Interaction and Intelligent Interfaces
- AI Governance, Fairness and Societal Impact
Paper Submission
Authors are invited to submit papers through the conference Submission System by February 28, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from COMIT 2026, after further revisions, w ill be published in the special issue of the following journals.
- International Journal of Computer Networks & Communications (IJCNC)- Scopus, ERA Indexed
- The International Journal of Network Security & Its Applications (IJNSA) - ERA Indexed
- The International Journal of Wireless & Mobile Networks (IJWMN)- ERA Indexed
- International Journal of Computer Science & Information Technology (IJCSIT) - INSPEC Indexed
- International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks (GRAPH-HOC)
- International Journal of Multimedia & Its Applications (IJMA)- ERA Indexed
- Information Technology in Industry (ITII)
Important Dates
Submission Deadline : February 28, 2026
Authors Notification : March 28, 2026
Final Manuscript Due : April 04, 2026
Contact Us: [email protected]
Paper Submission URL: https://comit2026.org/submission/index.php
Event Venue
Vancouver, Canada
