About
Alessandro Fogli is a PhD Student at Imperial College London in the Department of Computing, affiliated with the Large-Scale Data & Systems (LSDS) Group. His research focuses on systems support for data analytics in cloud environments, including distributed systems, resource management, and query processing.
- Education
- PhD in Computer Science, 2019–Present, Imperial College London
- MSc in Computer Science, 2015–2017, Roma Tre University
- BSc in Computer Science, 2012–2015, Roma Tre University
His research spans Distributed Systems, Databases, Data Analytics, and Modern Hardware. Recent work examines chiplet-based processor architectures and runtime mapping systems, with applications in performance optimization and hardware-aware query execution.
- Scientific Contributions
- Co-developed CHARM (2025), a runtime mapping system for chiplet heterogeneity
- Published in VLDB (2024) on OLAP processing for chiplet-based CPUs
- Contributed to HeatWave at Oracle Labs, improving query offloading to in-memory accelerators
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