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The Edge Computing Lab is part of the John Paulson School of Engineering and Applied Sciences at Harvard University, focusing on the design and development of edge computing platforms. The lab is supervised by Professor Vijay Janapa Reddi, who specializes in resilient and energy-efficient hardware architectures that deliver high performance across a diverse class of workloads. The research interests of the lab include architectures for low-power Internet of Things (IoT) devices, mobile computing systems, and intelligent runtime systems that extend edge computing capabilities. The lab’s team consists of computer system architects adept at solving fundamental computing challenges that arise in resource-constrained environments, utilizing both hardware and software solutions. The lab emphasizes a philosophy of problem-solving that prioritizes the identification of issues over the medium used to address them, allowing for creative approaches to complex computing problems. Current projects encompass areas such as autonomous machines, where the lab works on co-designing cyber-physical systems to enable intelligent robots to operate under resource constraints. The team’s work also spans to applications in mobile computing that account for device characteristics while ensuring user quality experience and the delivery of applications across high-performance edge servers.
Harvard University • Cambridge, MA
Supervising the Edge Computing Lab and conducting research in edge computing and its applications.
Administered by the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (GSAS).