Keith Bateman is a PhD Candidate in the Department of Computer Science at the Illinois Institute of Technology and a member of the Gnosis Research Center. His research focuses on intelligent data management and task-based I/O systems for the convergence of HPC, Big Data, and AI workflows. He is the developer of LuxIO and DTIO, and works under the guidance of Dr. Xian-He Sun and Dr. Anthony Kougkas.
Joined: Aug 2018Expected: May 2027
12Publications
8Projects
Research Interests
- HPC
- Distributed Storage
- Task Systems
- Data Management for AI
Projects
- ChronoLog (2020–present)
- Coeus (2022–2026)
- DeepIO (2023–present)
- DTIO (2021–2026)
- Hermes (2019–2025)
- IOWarp (2024–present)
- IRIS (2019–2023)
- LABIOS (2019–present)
Publications
2026
Agent Error Simulator: Fault Injection for Testing Recovery in Agentic Workflows
2026
AgentRecall: Provenance and Rewind for Multi-Agent Workflows
2025
DTIO: Data Stack for AI-driven Workflows
2025
A Unified Data Stack for AI Workflows
2025
Eris: A Trace-Driven Gym for AI-Powered Cache Optimization in HPC
2024
Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models
2024
TunIO: An AI-powered Framework for Optimizing HPC I/O
2022
LuxIO: Intelligent Resource Provisioning and Auto-Configuration for Storage Services
2021
HFlow: A Dynamic and Elastic Multi-Layered Data Forwarder
2021
Apollo: An ML-assisted Real-Time Storage Resource Observer
2020
ChronoLog: A Distributed Shared Tiered Log Store with Time-based Data Ordering
2020
