About the Computing Conference
The 14th Computing Conference 2026 is a peer-reviewed international forum for computing and AI research. Since 2013, the conference has brought together academics, researchers, and engineers from 60+ countries to advance foundational computing, artificial intelligence, large language models, quantum computing, cybersecurity, and scalable systems.
Submissions are evaluated through a rigorous double-blind peer-review process, with each paper assessed by at least three programme committee members. The conference maintains a selective acceptance rate of 37–39%.
All accepted papers are published by Springer in the Lecture Notes in Networks and Systems (LNNS) series and submitted for indexing in Web of Science, SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, and SCImago.
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.
Conference Tracks
Future Computing Architectures
- Quantum Computing
- High Performance Computing (HPC)
- Edge and Fog Computing
- Cloud Computing
- Neuromorphic Computing
- Heterogeneous Systems
- Cyber-Physical Systems
- Green Computing
- Human-centred Computing
- Digital Twins
AI & Machine Learning
- Deep Learning
- Large Language Models (LLMs)
- Foundation Models
- Federated and Distributed Learning
- Agents and Multi-agent Systems
- Explainable AI
- Causal AI and Reasoning
- Computational Optimization
- Swarm Intelligence
- Sustainable AI
Computer Vision
- Human-Computer Interaction (HCI)
- Image and Video Analysis
- Multimodal Interaction Systems
- Gesture and Voice Interfaces
- Spatial Computing
- Brain-Machine Interfaces
- Assistive and Adaptive Interfaces
- Augmented Reality (AR)
- Virtual Reality (VR)
- UX and Design in AI Systems
Data Science
- Big Data
- Predictive Analytics
- Data Fusion
- Sentiment Analysis
- Natural Language Processing
- Information Retrieval
- Synthetic Data Generation
- Data-centric AI
- Data Mining
- Data Governance
Intelligent Systems
- Robotics and Automation
- Human-Robot Interaction
- Brain-Computer Interfaces
- 5G/6G Network Evolutions
- Autonomous Vehicles and Drones
- Affective Computing
- Cognitive Architectures
- Robot Perception and Navigation
- Embodied AI
- Bioinformatics
Cybersecurity, Privacy & Trust
- Cryptography
- AI for Cybersecurity
- Intrusion Detection
- Secure Protocols
- Privacy-preserving Machine Learning
- Bias Mitigation
- Zero Trust Architectures
- Blockchain and Decentralized Security
- Post-Quantum Security
- Surveillance, Ethics, and Regulation
Computing for Society
- Smart Cities
- Intelligent Transportation Systems
- Smart Grids and Energy Networks
- AI for Climate Modeling
- Green ICT
- Ambient Assisted Living
- Wearable Technology
- Tech for Public Health
- Digital Transformation
- Ethical AI
Technology-enhanced Education
- Intelligent Tutoring Systems
- Adaptive Learning Platforms
- VR/AR in Education
- Mobile and Ubiquitous Learning
- Collaborative Learning
- Data-Driven Education
- Gamified Learning Environments
- Cognitive and Affective Models
- Learning Analytics
- Educational Technology Design