ISCICPS
International Symposium on Computational Intelligence for Cyber-Physical Systems
ISCICPS
International Symposium on Computational Intelligence for Cyber-Physical Systems
About ISCICPS Conference
International Symposium
The IEEE International Symposium on Computational Intelligence for Cyber-Physical Systems (ISCICPS) is a premier academic event designed to foster collaboration among researchers, engineers, and industry professionals working at the intersection of AI/Machine Learning and embedded physical infrastructure.
Tracks
Track 1: Edge AI & Embedded Intelligence
Track 3: Smart Energy & Industrial Infrastructure
Track 1: Edge AI & Embedded Intelligence
- Hardware-aware neural network acceleration
- On-device learning for IoT and microcontrollers
- Low-latency decision-making at the edge
Track 2: Autonomous Systems & Robotics
Track 3: Smart Energy & Industrial Infrastructure
Track 1: Edge AI & Embedded Intelligence
- Self-driving vehicles, drones, and mobile robotics
- Multi-agent coordination and swarm intelligence
- Real-time perception, localization, and mapping (SLAM)
Track 3: Smart Energy & Industrial Infrastructure
Track 3: Smart Energy & Industrial Infrastructure
Track 3: Smart Energy & Industrial Infrastructure
- Intelligent control in smart grids and microgrids
- Predictive maintenance for Industry 4.0 systems
- AI-driven resource optimization in manufacturing
Track 4: Security, Privacy & Resilience in CPS
Track 5: Trustworthy & Explainable AI for Physical Systems
Track 5: Trustworthy & Explainable AI for Physical Systems
- Threat detection and zero-trust architectures for IoT networks
- Physical-layer security and fault-tolerant control
- Adversarial defense mechanisms for safety-critical AI
Track 5: Trustworthy & Explainable AI for Physical Systems
Track 5: Trustworthy & Explainable AI for Physical Systems
Track 5: Trustworthy & Explainable AI for Physical Systems
- Verifiable and safety-constrained machine learning
- Explainable AI (XAI) for human-in-the-loop control
- Ethical considerations in autonomous infrastructure