COMPAS 26

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Call For Paper

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Research Areas

Conference Tracks

Explore cutting-edge research areas and emerging technologies across 8 comprehensive tracks

Track 01

Learning Theory, Models, and Intelligent Systems

Learning theory and generalization in modern AI systems
Neural architectures, optimization, and training dynamics
Representation learning and foundation models
Track 02

Language, Speech, and Multimodal Interaction

Computational linguistics and language modeling
Large language models and efficient adaptation
Multilingual and low-resource NLP
Track 03

Visual Computing and Multimodal Perception

Image, video, and 3D scene understanding
Visual representation learning and foundation vision models
Object detection, tracking, and activity recognition
Track 04

Data, Knowledge, and Decision Analytics

Data mining and large-scale knowledge discovery
Graph data analytics and graph neural networks
Time-series and spatiotemporal modeling
Track 05

Intelligent Cyber-Physical and Edge Systems

Internet of Things architectures and platforms
Edge and fog intelligence
AI-enabled cyber-physical systems
Track 06

Distributed Systems, Networks, and Security

Distributed systems architectures and protocols
Cloud, edge, and data-center systems
Software-defined and virtualized networks
Track 07

Algorithms, Computational Foundations, and Emerging Computing

Algorithm design, analysis, and complexity
Distributed, parallel, and high-performance algorithms
Optimization, metaheuristics, and evolutionary computation
Track 08

System Demonstration and Deployed Systems

Design and implementation of end-to-end systems, platforms, and services
System architectures, scalability, performance, and resource efficiency
Reproducibility, robustness, maintainability, and operational reliability
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8 Specialized Tracks covering the forefront of computing research