International Conference on Algorithms, Intelligent Control and Signal Processing (AICSP 2026)

The International Conference on Algorithms, Intelligent Control and Signal Processing (AICSP 2026) focuses on advanced algorithms, intelligent control systems, and next-generation signal processing by examining artificial intelligence, autonomous systems, adaptive learning, data fusion, and real-time intelligent computing technologies.

Key Topics

• Advanced algorithms and computational intelligence
  • Theoretical and graph-based algorithms
  • Optimization and stochastic computing methods
  • Quantum and bio-inspired algorithm design
  • Machine learning and artificial intelligence algorithms
  • Reinforcement learning and adaptive dynamic programming
  • Federated, distributed, and swarm learning systems
  • Deep learning architectures for system modeling
  • Explainable ai and interpretable decision-making
  • Online learning and multi-armed bandit methods
• Intelligent control and autonomous technologies
  • Adaptive and learning-based control systems
  • Model predictive and data-driven control
  • Neural network and fuzzy logic control
  • Cyber-physical and networked control systems
  • Autonomous robotics and intelligent automation
  • Perception, planning, and autonomous navigation
  • Multi-agent and swarm robotics coordination
  • Human-in-the-loop and shared control systems
  • Smart transportation and autonomous vehicles
  • Precision agriculture and industrial automation
  • Smart grid and energy management systems
• Signal processing and information fusion
  • Intelligent and sparse signal processing
  • Ai-enhanced audio, video, and communication processing
  • Event-based and neuromorphic signal analysis
  • Sensor fusion and multimodal data integration
  • Bayesian and kalman filtering approaches
  • Signal processing for iot and sensor networks
  • Integrated sensing and communication systems
  • Biomedical and neuro-signal analysis
  • 6g wireless signal processing technologies
• Cross-disciplinary and secure intelligent systems
  • Secure and trustworthy intelligent systems
  • Cyberattack-resistant control architectures
  • Privacy-preserving signal processing
  • Adversarial machine learning applications
  • Edge ai for real-time processing
  • Energy-efficient and lightweight algorithm design
  • Embedded intelligent hardware and software co-design

Who should Attend

• Researchers in algorithms and artificial intelligence
• Control systems and robotics engineers
• Signal processing and communication specialists
• Experts in autonomous systems and cyber-physical systems
• Machine learning and deep learning professionals
• Engineers working on iot and embedded systems
• Academic faculty and graduate students in intelligent computing
• Industry professionals in smart transportation and automation
• Security researchers in intelligent and distributed systems
• Developers of edge ai and real-time computing technologies