Call for Papers
The conference invites breakthroughs in Mathematical Modeling, Optimization Algorithms, and Statistical Modeling
Topics of Interest
Papers describing original work, as shown in any topic below, are invited. Acceptance will be based on quality, relevance, originality, and clarity. Topics of interest for submission include, but are not limited to:
Chapter One:
Computer Science & Artificial Intelligence
AI Algorithms and Applications: Machine Learning, Deep Learning, Reinforcement Learning, Federated Learning and Large Language Model (LLM) Technologies
Computer Vision and Image Processing: Object Detection and Tracking, 3D Vision, Medical Image Analysis, Multimodal Learning and Video Understanding
Natural Language Processing: Text Mining, Knowledge Graph, Machine Translation, Dialogue Systems and Sentiment Analysi
Trustworthy AI: Explainable AI, Privacy-Preserving Computation, Model Robustness, Algorithmic Fairness and Ethical Alignment
Computational Intelligence and Optimization: Swarm Intelligence Algorithms (PSO, Ant Colony Optimization, etc.), Neuroevolution, Fuzzy Systems and Approximate Reasoning
Quantum and Brain-Inspired Computing: Quantum Algorithms and Machine Learning, Spiking Neural Networks (SNN), Neuromorphic Hardware and Cognitive Architectures
Chapter Two:
Electronic Engineering & Communication Technology
Integrated Circuits and Systems: VLSI Design, FPGA and Reconfigurable Computing, Low-Power SoC, 3D-IC and Chiplet Technology
Advanced Communications and Networks: 6G Space-Air-Ground Integrated Networks, Massive MIMO, Integrated Sensing and Communication, Reconfigurable Intelligent Surfaces
Internet of Things and Sensor Networks: Industrial Internet of Things, Internet of Vehicles, Low-Power Wide-Area Network, Edge Intelligence and Wireless Power Transfer
Signal Detection and Processing: Adaptive Filtering, Compressed Sensing, Radar Signal Processing, Array Signal Processing and Biomedical Signal Analysis
RF, Microwave and Antennas: Millimeter-wave/Terahertz Components, Phased Array Antennas, Microwave Circuit Design, Electromagnetic Compatibility and Interference Suppression
Embedded Systems and Edge Computing: Real-Time Operating Systems, Heterogeneous Computing, On-Device AI Inference, System Security and Low-Power Design
Chapter Three:
Data Science & Engineering
Big Data Management and Analysis: Distributed Storage and Computing, Lakehouse Architecture, Data Governance and Data Quality
Data Mining and Knowledge Discovery: Association Rules, Clustering and Classification, Graph Neural Networks, Spatio-Temporal Data Mining and Anomaly Detection
High Performance Computing and Cloud Computing: Computing Power Network, Cloud-Native Architecture (K8s/Docker), Serverless, Containerized Deployment and Resource Scheduling
Database Systems: Distributed Transactions, NewSQL Technologies, Vector Databases, Graph Databases, In-Memory Databases and Index Optimization
Information Visualization and Visual Analytics: High-Dimensional Data Visualization, Interactive Dashboards, Data Storytelling and Large-Screen Visualization Technologyt
Chapter Four:
Network & Information Security
Network Infrastructure and Protocols: SDN/NFV, High-performance Router Architecture, IPv6 Evolution Technologies, QUIC and Next-generation Transport Protocols
Cryptography and Applications: Post-quantum Cryptography, Homomorphic Encryption, Zero-knowledge Proof, Secure Multi-party Computation and Blockchain Consensus Mechanisms
System and Software Security: Binary Vulnerability Mining, Malware Analysis, OS Kernel Protection, Trusted Execution Environment (TEE)
Network Security Defense: Intrusion Detection and Security Situational Awareness, Mimic Defense, AI-driven Security Operations, Deception Defense Technologies
Application Security and Privacy: Web Security, Mobile Security, Differential Privacy, Data Desensitization Algorithms and GDPR Compliance Technologies