Cyber-Physical Intelligence
Learning, control, and decision-making for systems that couple computation with the physical world.
CPIL · MBZUAI · McGill University · Mila
Cyber-physical intelligence for networks, systems, and connected infrastructure.
CPIL develops AI methods for cyber-physical systems, communication networks, graph-grounded reasoning, multi-agent coordination, and intelligent infrastructure.
Open positions
PhD students, postdocs, visiting scholars, and research interns are invited to connect.
Mission
Intelligence that understands real systems.
CPIL studies how learning, reasoning, and control can improve infrastructure-scale systems where digital decisions meet physical constraints.
The lab emphasizes rigorous systems thinking, data-grounded AI, and deployable tools for communication networks, IoT, and complex cyber-physical environments.
Research Areas
What we work on
AI for Communication Networks
Adaptive network optimization, resource allocation, and resilient communication systems.
Large Language Models for Systems and Telecom
LLM-enabled reasoning, operations, and automation for complex systems and telecom workflows.
Graph-based Reasoning and Retrieval-Augmented Generation
Structured retrieval and graph reasoning for explainable, grounded system intelligence.
Multi-agent Systems
Collaborative agents for planning, diagnostics, and infrastructure-scale coordination.
Intelligent Infrastructure and IoT
Sensing, edge intelligence, and data-driven operations for connected infrastructure.
Featured Projects
Current research threads
Test Project Alpha
activeA neutral sample CPIL project entry for testing policy, planning, and optimization content layouts.
More details
Test Project Alpha is represented here as a structured sample project for the CPIL website. Add the verified project scope, methods, collaborators, and outcomes when available.
Members: Xue (Steve) Liu, CPIL members
- Cyber-Physical Intelligence
- AI for Communication Networks
- Multi-agent Systems
Test Project Beta
activeA neutral sample project entry for graph-oriented retrieval and grounded reasoning content.
More details
Test Project Beta is a sample project brief for graph-based reasoning and retrieval-augmented generation. Add verified datasets, architecture details, publications, and public artifacts when available.
Members: Xue (Steve) Liu, CPIL members
- Graph-based Reasoning and Retrieval-Augmented Generation
- Large Language Models for Systems and Telecom
- Intelligent Infrastructure and IoT
Test Project Gamma
activeA neutral sample project entry for visual and language-assisted infrastructure learning agents.
More details
Test Project Gamma is included as sample content for a CPIL project involving visual, language, and agentic reasoning for infrastructure workflows. Add verified project details when available.
Members: Xue (Steve) Liu, CPIL members
- Large Language Models for Systems and Telecom
- Multi-agent Systems
- Intelligent Infrastructure and IoT
Latest News
Recent updates
CPIL website scaffold launched
The CPIL website is ready with pages for people, projects, publications, news, joining the lab, and contact information.
Open positions for students and researchers
CPIL welcomes inquiries from PhD students, postdoctoral researchers, visiting scholars, and research interns interested in AI for cyber-physical systems.
Sample test project briefs added
Initial neutral test project entries are available as starting points for CPIL research summaries.
Join CPIL
Open positions across the research pipeline
CPIL welcomes PhD students, Postdoctoral researchers, Visiting scholars, Research interns with interests in AI, systems, networks, cyber-physical infrastructure, and applied machine learning.