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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