Conference Information
ICEA' 2025: International Conference on Intelligent computing and Its emerging Application
https://icea2025.github.io/latrobe/Submission Date: |
2025-07-06 |
Notification Date: |
2025-08-30 |
Conference Date: |
2025-12-03 |
Location: |
Melbourne, Australia |
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Call For Papers
Introduction International Conference on Intelligent computing and Its emerging Application 2025 (ICEA 2025) is dedicated to fostering the latest innovations and advancements in both Electrical Engineering and Computer Science. The conference serves as a premier platform for researchers, engineers, and industry experts to share groundbreaking ideas, novel methodologies, and transformative technologies shaping the future of these disciplines. Within Electrical Engineering, the conference will focus on topics such as power systems, renewable energy integration, smart grid technologies, embedded systems, and Internet of Things (IoT) applications. It aims to address the latest advancements in energy-efficient designs, wireless communication, and next-generation electronic devices. In the realm of Computer Science, ICEA 2025 will highlight key developments in artificial intelligence, machine learning, cybersecurity, quantum computing, and high-performance computing. The event will also provide discussions on cutting-edge areas such as edge computing, cloud computing, big data analytics, blockchain applications, and emerging trends in automation. The conference encourages interdisciplinary research that bridges Electrical Engineering and Computer Science to solve real-world challenges. Participants will have the opportunity to engage in dynamic discussions, present their findings, and collaborate with leading experts across academia and industry. Conference Tracks Track 1: Artificial Intelligence & Machine Learning Deep Learning and Neural Networks Reinforcement Learning AI for Edge Computing Explainable AI (XAI) Natural Language Processing Track 2: Cybersecurity & Privacy Blockchain for Security IoT and Smart Grid Security Cryptographic Techniques Privacy-Preserving Machine Learning AI for Threat Detection Track 3: Smart Grids & Energy Systems Decentralized Energy Trading Microgrid Optimization Renewable Energy Forecasting Electric Vehicle Integration Energy Storage Systems Track 4: Quantum Computing Quantum Machine Learning Quantum Cryptography Optimization using Quantum Computing Quantum Communication Networks Quantum Software Development Track 5: 5G/6G Networks & Edge Computing 5G and Beyond Edge-AI Integration Network Virtualization Massive MIMO Systems Cloud-Edge Continuum
Last updated by Dou Sun in 2025-05-26
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