Our
A convergence point for experts in AI, network science, and complex systems.
Developing AI algorithms and models for analyzing complex networks in various fields.
Tackling intricate challenges and opportunities in AI integration.
Our
Dr. Canbaz, the director of the AI in Complex Systems Lab, is a leading expert in the fields of complex networks, graph data science, and multi-layer data representation and analytics. His research focuses on developing foundational models and algorithms for AI integration at the tactical edge. For more details please visit: drcanbaz.com
What We Do
Develop AI for IoT, enhancing resilience in smart grids, healthcare, and urban planning.
Analyze AI performance across networked systems, focusing on speed, accuracy, and resilience.
Curate and process extensive datasets to support AI model development and validation.
Optimize distributed AI architectures for efficiency in complex and data-intensive systems.
Build virtual representations of physical systems for real-time monitoring and analysis.
Develop ethical AI frameworks and governance models for responsible AI deployment.
Interdisciplinary Collaboration
We collaborate with experts across fields, including healthcare, urban planning, and more.
Tools & Frameworks
Develop custom AI tools for practical deployment, bridging academia and industry.
Efficiency & Resilience
Our solutions enhance system resilience, empowering industries to tackle complex challenges.
Meet the dedicated students contributing to our research
Ph.D. Student
Ph.D. Student
Ph.D. Student
Ph.D. Student
Ph.D. Student
Masters Student
Undergraduate Student
Undergraduate Student