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