Dogancan Karan

The Cambridge Centre for Advanced Research and Education in Singapore

Papers

Total Citations

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About

Dogancan Karan is a pioneering researcher at the intersection of artificial intelligence, knowledge engineering, and autonomous scientific discovery. His primary research areas include distributed self-driving laboratories, dynamic knowledge graphs, and the automation of experimental workflows. Karan's major contribution lies in developing architectures that enable self-driving laboratories—autonomous systems that design, execute, and analyze experiments—to operate across organizational boundaries. His 2024 paper, "A dynamic knowledge graph approach to distributed self-driving laboratories," which has garnered 73 citations, introduces a framework for integrating resources and sharing knowledge among institutions, thereby accelerating the pace of scientific discovery. This work is particularly significant for addressing global challenges that require collaborative solutions. His earlier 2023 paper, "From Platform to Knowledge Graph: Distributed Self-Driving Laboratories" (12 citations), laid the groundwork for this approach by transitioning from centralized platforms to decentralized, knowledge-graph-based systems. Karan's research is notable for its potential to democratize and expedite scientific research, making him a key figure in the emerging field of autonomous experimentation.