Conference Information
ICEA' 2025: International Conference on Intelligent computing and Its emerging Application
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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