Data-driven Improvement of Datacenter Performance

Project Summary

A team of students, under the direction of Prof. Benjamin C. Lee, will explore how a variety of statistical machine-learning techniques may be able to improve datacenter performance. The team will have frequent opportunities to interact with analytics leadership at Lenovo.

Themes and Categories
Contact
Paul Bendich
Mathematics
bendich@math.duke.edu

Disciplines Involved: Economics, all quantitative STEM

Project Lead: Benjamin C. Lee

Project Manager: Pengfei Zheng

Related Projects

We are seeking an exceptional researcher to work with Vahid Tarokh at the Information Initiative at Duke on foundations of Non-Commutative Information Theory, and the Design of Algorithms for the Processing of Multimodal Data based on these theoretical findings.

We are seeking up to two exceptional researchers to work on calculation of Fundamental Limits of Learning for High Dimensional, Purely High dimensional data, Sparse Data, and the Design of Limit Achieving Algorithms to work with Vahid Tarokh at the Information Initiative at Duke.

We are seeking an exceptional researcher to work on Change Detection for Multimodal Data, and Algorithm Design with Vahid Tarokh at the Information Initiative at Duke.