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CyberC (IEEE TCCC) 2024 : CyberC (IEEE TCCC) 2024 – The 16th Int. Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery


When Oct 24, 2024 - Oct 26, 2024
Where Guangzhou
Submission Deadline Jul 1, 2024
Notification Due Sep 1, 2024
Final Version Due Sep 20, 2024
Categories    AI   communications   computer vision   distributed computing

Call For Papers

CyberC (IEEE TCCC) 2024 – The 16th Int. Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
IEEE Conference Record #: 62439
Location & Date: Guangzhou, China, October 24-26, 2024
Publication: IEEE (EI & IEEE Xplore)
Paper Submission: EDAS ( or Send PDF to
Submission Deadline: 07/01/2024
Camera-ready Deadline (Submission via IEEE Publisher): 09/20/2024
Paper Publication Date: 10/24/2024

2024 Theme: Revolutionizing Computing and Communication in the AI Era

Organizer: Hong Kong University of Science and Technology - Guangzhou
Co-hosted by: IEEE TCCC (Sponsor), IEEE Computer Society (Sponsor), University of Louisville, Nanjing University of Posts & Telecommunications, Zhengzhou University, Guangzhou University, and Xi’an Jiaotong-Liverpool University

Financially Sponsored by: Huawei, ZTE, InfoBeyond, Hong Kong Univ. of Sci. and Tech. (Guangzhou)

Programs: CyberC 2024 includes Emerging Technology Summit, Keynotes, Panel Discussions, Tutorials, PhD workshops, AI & Big Data Competition, Best Paper awards, Competition Prizes, and Ceremony.

Scopes: CyberC promotes the research areas covered by the following tracks:

Track 1: AI, Machine Learning, Deep Learning, Autonomy, and Intelligence
• AI & machine learning theory, architecture, and system
• Soft computing, neural network, convolutional neural network, and deep learning
• Intelligence computing, inductive learning, reasoning
• Ensemble and evolutionary computation
• Large scale natural language processing
• Data analytics, social media, and web mining
• Fuzzy set theory, fuzzy controls and systems
• Feature engineering, feature learning, and feature fusion
• Web computing, intelligent and knowledge based systems
• Distributed and parallel systems & algorithms
• Database and data mining and analytics
• Pattern recognition and multimedia
• Data streaming and storage, and data analytics
• AI boundary and ethnicity challenges

Track 2: Mobile Computing, Communications, 5G and Beyond
• Spectrum sensing, fusion, decision-making and allocation
• Signaling process, PHY/link layer protocols and optimization
• Resource optimization, network, and distributed network computing
• Dynamic spectrum access, spectrum sharing, spectrum management
• AI/ML for cognitive radio network
• VNF/SDN (NFV, VIM, VNFs, service function chaining, network slicing, and Open Flow)
• Quantum communications, and network computing resources
• Quantum Computing in Disrupting the Moore’s Law
• Application of Quantum Computing in Cyber Security
• Quantum Computing in Large Scale AI.
• Sensor networks, mesh networks, MIMO and 6G
• Edge computing, IoT connectivity, and energy harvesting
• LEO (Low Earth Orbit) satellite/HAPS (High Altitude Platform System) Communication & its scale and applications
• LEOS/HAPS communication integration with terrestrial mobile networks
• LEOS/HAPS communication network neliability
• Industrial IoT, e.g., manufacturing, logistics, and supply chain
• Industry control network, networking theory and algorithms
• Wireless embedded sensor systems, body sensor, smart cities & security
• Cognitive radio and Soft defined radio
• Future generation communications and pervasive computing
• Peer-to-peer network computing and overlaying networks
• Directional antenna and networking
• FDMA/OFDMA modulations, synchronization, and power optimization
• Security & privacy, attacking models, confidentiality & security in communications
• Services, middleware, and multimedia on wireless networks
• QoS, reliability, performance, and communication theory
• Wireless network simulations, implementation, and applications

Track 3: Cloud computing, information system, and distributed computing
• Parallel and distributed algorithms, resource allocation, and load-balance
• Public and private cloud, mobile cloud, mobility-aware cloud data/streams
• SOA, web services, and mobile services (software, infrastructure)
• Cloud resource management and allocation
• Cloud utility models and service pricing
• New parallel/concurrent programming models for cloud computing
• Scientific computation and other applications in the cloud
• Mobility modeling, management and measurement for mobile clouds
• Mobile multimedia content delivery, transferring, and migration
• Content delivery networks using storage clouds
• User experience and cyber security
• Performance evaluation, measurement and optimization
• Communications and network security
• Information security, software security, system security, or cryptography
• Cloud tools, test-bed, simulations, and experimental environments
• Collaborative and cooperative environments
• Cloud QoS, autonomic, reliability, and fault-tolerance
• Web services and internet computing
• Web-caching, content delivery systems and data distribution systems
• Distributed applications, modeling language, and software engineering
• Pervasive/ubiquitous computing and intelligence
• Hyper performance of cloud computing & latency challenges
• ETE large scale cloud computing reliability

Track 4: Computer Vision and Image Processing
• AI for computer vision and image processing
• NLP, image, vision learning, and deep learning
• Texture image representation and classification
• Image filtering and enhancement
• Image segmentation
• Object detection and recognition
• Tracking and motion analysis
• Image synthesis, 3D reconstruction and modeling
• Stereo vision and depth estimation
• Face recognition and biometrics
• Scene understanding and semantic segmentation
• Image and video compression
• Image and video restoration and super-resolution
• Optical character recognition
• Medical image analysis and processing
• Document analysis and recognition
• Video analysis and summarization
• Augmented reality and virtual reality
• Color, multispectral, and hyperspectral imaging
• Medical image computing
• Sensing, representation, modeling, and registration
• Stereoscopic, multiview, and 3D processing
• Biometrics, forensics, and security

Track 5: NLP, knowledge discovery, computational semantics
• NLP, lexical semantics, compositional semantics
• Semantic parsing, textual inference, entailment
• Question answering, event learning, causal and temporal relations,
• Knowledge mining and acquisition
• Text & data streaming, scalable computing, task deployments
• Information extraction, retrieval, and learning
• Multilingual and cross-lingual semantics
• Word sense disambiguation and induction
• Formal approaches to semantics
• Semantics in NLP applications and higher level NLP applications
• Text and speech processing
• Morphological analysis, syntactic analysis, lexical semantics, and discourse
• High performance computing, and intensive data networks
• Discourse, pragmatics, and dialogue
• Social media and social network analytics
• NLP computing security and information assurance
• Graph learning, mining, and opinion mining
• Cloud and high performance computing for big data

Track 6: Privacy, Security, and Cybersecurity
• Privacy enhancing, policy, access control, and regulation
• Privacy with surveillance, big data, machine learning, and IoT
• Privacy for healthcare, human-computer interaction, and other applications
• Network security, cybersecurity risk assessment, malware analysis
• Cryptography, cryptographic algorithm, post-quantum cryptography
• Attacks, DDoS, ransomware, and cybersecurity attacks and detection
• Cyber network, configuration, cloud, IoT, and wireless communications
• Multistage attacks, data security, AI and intrusion detection
• Risk assessment, management, and network monitoring
• Blockchain, cryptocurrency, smart contracts, identity management, and voting
• Blockchain applications, e.g., smart grid, healthcare, industrial control systems
• Cyber authentication and access control
• Deep learning for attack behavior, prediction, and game theory
• AI/ML and deep learning for security and privacy
• Cybersafety and privacy, standardization, compliance and forensics

Track 7: Metaverse architecture, intelligence, and applications
• Metaverse architectures and metaverse computing
• Edge/fog/cloud computing and distributed network systems for metaverse
• Augmented reality, mixed reality, and virtual reality for Metaverse
• Metaverse content creation, distribution, and management
• Future communications and networking for metaverse
• Intelligent metaverse technologies & applications
• AI, machine learning, deep learning, and NLP for metaverse
• Metaverse data privacy and security in AI-driven applications
• Metaverse for conference, education, entertainment, marketing, and other applications
• Blockchain technologies to support metaverse ownership and security
• Digital-twins and metaverse

The CyberC 2024 Proceedings will be published by IEEE CPS. Full papers for CyberC 2024 must not exceed 10 pages of IEEE 2-column format, while short papers must not exceed 4 pages. Please visit the conference web site at for precise formatting and submission instructions.

Submission deadline: 07/01/2024
Notification of acceptance: 08/01/2024
Registration due date: 09/20/2024
Camera-Ready Paper Submissions and Copyrights Due: 09/20/2024
Conference date: 10/24/2024-10/26/2024

Anup Kumar (Chair), University of Louisville, USA
Suryadip Chakraborty, Johnson C. Smith Univ., USA
Chi-Ming Chen, AT&T Labs, USA
Chih-Lin I, China Mobile, China
Yang Yang, ShanghaiTech, China
Jiangzhou Wang, University of Kent, UK
Tzyh-Jong (TJ) Wang, AT&T Labs, USA

Contact us at email:

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