Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of algorithms, computing and systems including, but not limited to

    Track 1: Algorithms and Complexity

    ▪ Design and analysis of algorithms
    ▪ Randomized and approximation algorithms
    ▪ Parallel and distributed algorithms
    ▪ Computational complexity and lower bounds
    ▪ Quantum algorithms and complexity
    ▪ Algorithmic game theory and mechanism design
    ▪ Optimization algorithms for machine learning
    ▪ Online learning and reinforcement learning algorithms
    ▪ Federated learning and privacy-preserving algorithms 	
    ▪ Graph algorithms and network flows
    ▪ Combinatorial optimization and integer programming
    ▪ Dynamic programming and greedy algorithms
    ▪ Streaming algorithms and sublinear algorithms
    ▪ Computational geometry and topology
    ▪ Bioinformatics algorithms and computational biology
    ▪ Cryptographic algorithms and protocols
    ▪ Approximation and online algorithms for scheduling

    Track 2: Computing Technologies

    ▪ High-performance computing and supercomputing
    ▪ Cloud computing and edge computing
    ▪ GPU computing and FPGA-based acceleration
    ▪ Distributed systems and blockchain technologies
    ▪ Consensus algorithms and fault tolerance
    ▪ Peer-to-peer networks and distributed databases
    ▪ Quantum computing and hybrid quantum-classical systems
    ▪ Scalable computing architectures
    ▪ Serverless computing and microservices 	
    ▪ Energy-efficient computing and green IT
    ▪ In-memory computing and storage systems
    ▪ Mobile computing and ubiquitous systems
    ▪ Edge AI and on-device machine learning
    ▪ Computational storage and memory-centric computing
    ▪ Neuromorphic computing and brain-inspired architectures
    ▪ Reconfigurable computing and adaptive systems
    ▪ High-availability and fault-tolerant systems

    Track 3: Artificial Intelligence and Machine Learning

    ▪ Deep learning architectures and models
    ▪ Explainable AI and interpretability
    ▪ Natural language processing and text generation
    ▪ Computer vision and image processing
    ▪ Reinforcement learning and autonomous systems
    ▪ Generative models (e.g., GANs, diffusion models)
    ▪ AI for healthcare, finance, and robotics 	
    ▪ Multimodal AI systems and applications
    ▪ Transfer learning and domain adaptation
    ▪ Self-supervised and unsupervised learning
    ▪ Federated learning and decentralized AI
    ▪ AI-powered recommendation systems
    ▪ AI for cybersecurity and anomaly detection

    Track 4: Systems and Networks

    ▪ Operating systems and resource management
    ▪ Real-time and embedded systems
    ▪ Virtualization and containerization technologies
    ▪ Network architectures and protocols (e.g., 5G/6G, IoT)
    ▪ Software-defined networking (SDN)
    ▪ Network security and privacy
    ▪ Cryptography and secure communication
    ▪ Intrusion detection and prevention systems
    ▪ Privacy-preserving technologies (e.g., differential privacy) 	
    ▪ Internet of Things (IoT) and edge networking
    ▪ Wireless and mobile networks
    ▪ Network function virtualization (NFV)
    ▪ Content delivery networks (CDNs)
    ▪ Network performance optimization and QoS
    ▪ Blockchain and decentralized network systems
    ▪ Cyber-physical systems and industrial IoT
    ▪ Network simulation and modeling tools
    ▪ Next-generation internet architectures

    Track 5: Applications and Emerging Trends

    ▪ Data science and big data analytics
    ▪ Data mining and knowledge discovery
    ▪ Human-computer interaction and user experience
    ▪ Augmented reality (AR) and virtual reality (VR)
    ▪ Internet of Things (IoT) and smart cities
    ▪ Autonomous systems and robotics
    ▪ Green computing and sustainable technologies
    ▪ Wearable computing and ubiquitous systems
    ▪ Digital twins and simulation-based optimization
    ▪ Emerging applications in healthcare, education, and industry 	
    ▪ Computational social science and digital humanities
    ▪ Smart agriculture and precision farming
    ▪ AI-driven climate modeling and environmental monitoring
    ▪ Fintech and blockchain applications
    ▪ E-governance and smart public services
    ▪ Personalized medicine and healthcare analytics
    ▪ Educational technology and AI in learning
    ▪ Entertainment computing and gaming technologies
    ▪ Disaster management and emergency response systems