About KAIROS
KAIROS is a research project conducted at the Distributed Systems Lab at USI - Università della Svizzera italiana. The project is headed by Eliã Batista and Prof. Fernando Pedone and includes other students and researchers at USI. Its goal is to investigate distributed architectures for incremental reasoning over evolving graph-based knowledge sources.
Research Aim
Study how AI agents can reason over evolving, distributed knowledge graphs with incremental and dependable data access.
Scientific Challenges
Knowledge graphs, LLM interfaces, consistency, fault tolerance, and real-time updates raise open problems across AI and distributed systems.
Long-term Direction
Build and evaluate a research prototype that advances scalable, available, and consistent graph-based reasoning for agentic AI.
Research Team
Dr. Eliã Batista
Project Lead
Received the PhD degree from Università della Svizzera italiana (USI), Switzerland, in a cotutelle program with PUCRS, Brazil. His work focuses on distributed dependable systems, State Machine Replication, parallel scheduling, state management, recovery, and graph-based reasoning infrastructure.
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Prof. Dr. Fernando Pedone
Professor and Faculty Lead
Full Professor at USI with expertise in dependable distributed systems, replication protocols, and fault-tolerant architectures. He supervises and guides the research direction of KAIROS within the Distributed Systems Lab.
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Research Contributors
KAIROS is developed as a collaborative research effort involving PhD students, students, and researchers at USI, with contributions spanning distributed systems, knowledge graphs, benchmarking, and AI-oriented data access.
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