13th International Conference on Computer Science and Information Technology (CSIT 2026) July 25 ~ 26, 2026, Toronto, Canada Hybrid -- Registered authors can present their work online or face to face. Scope & Topics The 13th International Conference on Computer Science and Information Technology (CSIT 2026) provides a premier international forum for researchers, practitioners, and industry experts to share knowledge, exchange ideas, and present the latest advances in the theory, methodology, and applications of Computer Science and Information Technology. As computing continues to evolve at an unprecedented pace—driven by breakthroughs in artificial intelligence, next generation systems, high performance architectures, and intelligent software—CSIT 2026 aims to bring together leading voices shaping the future of the discipline.
The conference welcomes significant contributions across all major areas of computer science, ranging from foundational algorithms and intelligent systems to cutting edge developments in distributed computing, cybersecurity, networking, data engineering, and emerging computing paradigms. CSIT 2026 serves as a dynamic platform for academic researchers and industry innovators to meet, collaborate, and explore the latest trends that are redefining modern computing.
Authors are invited to submit high quality papers presenting original research results, innovative projects, survey studies, and industrial experiences that demonstrate meaningful advances in Computer Science, Engineering, and IT driven applications.
Topics of interest include, but are not limited to, the following Artificial Intelligence, Machine Learning and Intelligent Systems
- Machine Learning, Deep Learning and Reinforcement Learning
- Generative AI (LLMs, Diffusion Models, Multimodal Foundation Models)
- Agentic AI, Autonomous Agents and Multi Agent Systems
- Embodied AI, Vision Language Action Models and Robotics Intelligence
- Continual Learning, Lifelong AI and Adaptive Systems
- Neuro Symbolic AI and Hybrid Reasoning Systems
- On Device AI, TinyML and NPU Accelerated Intelligence
- Explainable AI (XAI), Fairness, Ethics and Responsible AI
- AI Engineering, LLMOps, MLOps and Model Lifecycle Management
- AI Driven Software Development and Autonomous Coding Systems
- Automated Science, AI Driven Discovery and Closed Loop Research Systems
Data Science, Big Data and Data Engineering
- Big Data Analytics and Large Scale Data Processing
- Cloud Native Data Engineering, Data Lakes and Lakehouses
- Distributed Data Mining and Scalable ML (Spark, Flink, Ray)
- Vector Databases, Embedding Based Retrieval and Semantic Search
- Data Governance, Lineage, Provenance and Compliance
- Real Time Data Pipelines, Streaming Analytics and Event Processing
- Synthetic Data Generation, Simulation and Data Augmentation
- Data Observability, Monitoring and Drift Detection
Computer Architecture, Systems and High Performance Computing
- Modern CPU/GPU/TPU Architectures and Accelerators
- Heterogeneous, Memory Centric and Disaggregated Architectures (CXL, NVMe oF)
- Parallel and Distributed Systems, Algorithms and Runtime Systems
- High Performance Computing (HPC), Exascale Systems and Green Computing
- AI Native Operating Systems and Model Centric Scheduling
- Hardware Software Co Design for AI Systems
- Operating Systems, Virtualization, Containerization and Serverless Systems
- Edge, Fog and Cloud Computing Systems
- Quantum Computing, Quantum AI Convergence and Hybrid Systems
- Neuromorphic Computing, Memristor Based Systems and Bio Inspired Hardware
- Sustainable Computing, Carbon Aware Scheduling and Energy Efficient Systems
Networking, Communications and Cyber Physical Connectivity
- Next Generation Networking (5G/6G, Network Slicing, SDN/NFV)
- AI Accelerated Networking and Compute in Network Systems
- High Performance Networking, Data Center Networks and In Network Computing
- IoT, Industrial IoT, Smart Environments and Sensor Networks
- Satellite, Space Edge Computing and Interplanetary Networking (DTN)
- GNSS Integrated Systems and Space Based Communication
- Mobile, Ubiquitous and Pervasive Computing
- Vehicular Networks, Autonomous Mobility and V2X Systems
- AI Driven Autonomous Network Management and Self Optimizing Networks
Cybersecurity, Privacy and Trust
- Security Architecture, Zero Trust Systems and Identity Resilience
- Cryptography, Post Quantum Security and Blockchain Security
- Secure Software Engineering, Vulnerability Detection and Fuzzing
- AI Security, Adversarial ML and Model Robustness
- Privacy Preserving Computing (Differential Privacy, MPC, Homomorphic Encryption)
- Cyber Physical Security, IoT Security and Embedded System Protection
- Threat Intelligence, Malware Analysis and Security Analytics
- AI Safety Engineering, Red Teaming and Harmful Output Detection
- Formal Verification of AI Systems and Secure by Design AI
Software Engineering, Programming Languages and DevOps
- Software Architecture, Design Patterns and Refactoring
- DevOps, MLOps, AIOps and Continuous Delivery
- Formal Methods, Verification, Testing and Reliability Engineering
- Programming Languages, Compilers and Runtime Optimization
- Autonomous Software Systems and Self Healing Applications
- AI Assisted Development, Code Generation and Automated Testing
- Game Development, Simulation Engines and Interactive Media Engineering
Databases, Information Systems and Knowledge Technologies
- Intelligent Information Systems and Knowledge Graphs
- Database Systems, Query Optimization and Transaction Processing
- Information Retrieval, Search Systems and Recommender Systems
- NLP, Speech Processing and Multilingual AI
- GIS, Spatial Computing and Location Aware Systems
- Digital Twins for Industry, Science and Smart Cities
- Web3 Native Computing, Decentralized Storage and Distributed Identity (DID)
- Privacy Enhancing Technologies (PETs) and Zero Knowledge Systems
Multimedia, Vision and Signal Processing
- Image, Video and Audio Processing
- Computer Vision, Pattern Recognition and Multimodal Fusion
- AR/VR/XR Systems and Immersive Computing
- Vision Language Models and Multimodal Understanding
- Synthetic Reality, Digital Humans and Virtual Workforce Systems
- Multimedia Systems, Streaming and Content Delivery Networks
Modeling, Simulation and Emerging Computing Paradigms
- Modeling and Simulation of Complex Systems
- Digital Twins and Simulation Driven Intelligence
- Bioinformatics, Computational Biology and Health Informatics
- Evolutionary Computation, Swarm Intelligence and Optimization
- Robotics, Autonomous Systems and Human Robot Interaction
- Cognitive Computing and Brain Inspired Systems
- Bio Computing, DNA Storage and Molecular Computing
- Planetary Scale Computing and Global Edge Infrastructure
- Interdisciplinary Computing for Science, Medicine and Engineering
Paper Submission Authors are invited to submit papers through the conference Submission System by June 13, 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 Computer Science Conference Proceedings (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from CSIT 2026, after further revisions, will be published in the special issue of the following journals. Important Dates | Submission Deadline | : | June 13, 2026 | | Authors Notification | : | July 12, 2026 | | Final Manuscript Due | : | July 18, 2026 |
Co - Located Events ***** The invited talk proposals can be submitted to csit@csit2026.org
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