Track I: Computing

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• Algorithmic Engineering
• Parallel and Distributed Computing
• Energy efficient pervasive computing
• Scalable storage systems
• Multicore computing
• GPU and accelerator computing
• Resilient/fault tolerant algorithms and systems
• Multicore computing
• Quantum computing

Track II: AI and Data Science

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• Natural language processing
• Machine Translation
• Nature inspired computing
• Intelligent computing and pattern recognition
• Deep learning
• Data engineering and distributed data mining
• Image and vision computing

Track III: Network, Cloud and Security

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• Security, trust and privacy
• Cloud communication and networking
• Enterprise, data center and storage area networks
• Fog computing and networking
• Network security and privacy
• Next generation networking
• Optical and grid networking
• Network design, optimization and management
• Quantum networking
• Cloud security

Track IV: Communication and Industrial Automation

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• Internet of things and smart cities
• Signal processing for communications
• Realtime communication services
• Underground and underwater communication
• Wireless and mobile communication
• Satellite communication and networking
• Mobile computing and vehicle communication
• Mobility and location management

Track V: Quantum Computing and Communication

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• Quantum algorithms and complexity for NISQ and fault-tolerant regimes
• Hybrid quantum-classical, variational and optimization algorithms (VQE, QAOA, quantum annealing)
• Quantum machine learning and AI-assisted quantum design and control
• Quantum software, compilers, simulators and HPC–quantum integration
• Quantum error correction, real-time decoding and error mitigation
• Quantum hardware: qubit technologies, photonics, control and readout electronics
• Quantum communication, QKD and post-quantum cryptography
• Quantum networks, repeaters and distributed quantum computing
• Quantum sensing and metrology
• Quantum applications, benchmarking and resource estimation