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
Web: www.Cyberc.org
IEEE TCCC: https://cs-tccc.org/
Publication: IEEE (EI & IEEE Xplore)
Paper Submission: EDAS (https://edas.info/N32344) or Send PDF to Papers@cyberc.org
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


INFORMATION FOR AUTHORS
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 http://www.cyberc.org for precise formatting and submission instructions.

IMPORTANT DATES
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

STEERING COMMITTEE
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: papers@cyberc.org