The 10th International Conference on Algorithms, Computing and Systems (ICACS 2026)

The 10th International Conference on Algorithms, Computing and Systems (ICACS 2026) advances research in algorithms, computing technologies, intelligent systems, and networked infrastructures, addressing theoretical foundations and practical innovations across modern digital applications.

Key Topics

• Artificial intelligence and machine learning
  • Deep learning architectures and generative models
  • Explainable AI and interpretability
  • Natural language processing and computer vision
  • Reinforcement learning and autonomous systems
  • Federated, self supervised, and transfer learning
• Algorithms and computational theory
  • Design and analysis of algorithms
  • Randomized, approximation, and online algorithms
  • Graph algorithms and combinatorial optimization
  • Computational complexity and quantum algorithms
  • Cryptographic algorithms and privacy preserving methods
• Systems and network infrastructures
  • Operating systems and resource management
  • Software defined networking and network virtualization
  • Wireless, mobile, and IoT networks
  • Network security and secure communication
  • Blockchain and decentralized network systems
• Computing technologies and architectures
  • High performance and cloud computing
  • GPU, FPGA, and reconfigurable computing
  • Edge computing and serverless architectures
  • Quantum and neuromorphic computing systems
  • Energy efficient and memory centric computing
• Applications and emerging trends
  • Data science and big data analytics
  • Human computer interaction and immersive technologies
  • Autonomous systems and robotics
  • Smart cities, digital twins, and industrial IoT
  • AI applications in healthcare, finance, and climate modeling

Who should Attend

• Researchers in algorithms, computing, and artificial intelligence
• Engineers and system architects in distributed and networked systems
• Academics in computer science and information technology
• Industry professionals in data science and emerging technologies
• Graduate students in computing and related disciplines