Solutions Architect, Amazon Web Services
Sireesha Muppala is a solutions architect at Amazon Web Services. Her area of depth is machine learning and artificial intelligence, and she provides guidance to AWS customers on their ML and AI workloads. She led the Colorado University team to win and successfully complete a two-year research grant from the Air Force Research Lab on “Autonomous Job Scheduling in Unmanned Arial Vehicles.” She’s an experienced public speaker and has presented research papers at international conferences, such as CoSAC: Coordinated Session-Based Admission Control for Multi-Tier Internet Applications at the IEEE International Conference on Computer Communications and Networks (ICCCN) and Regression Based Multi-Tier Resource Provisioning for Session Slowdown Guarantees at the IEEE International Conference Performance, Computing and Communications (IPCCC). She’s published technical articles, such as Coordinated Session-Based Admission Control with Statistical Learning for Multi-Tier Internet Applications in the Journal of Network and Computer Applications (JNCA), Regression-Based Resource Provisioning for Session Slowdown Guarantee in Multi-Tier Internet Servers, and Multi-Tier Service Differentiation: Coordinated Resource Provisioning and Admission Control in the Journal of Parallel and Distributed Computing (JPDC). Sireesha earned her PhD and postdoctorate from the University of Colorado, Colorado Springs, while working full time. Her PhD thesis is Multi-Tier Internet Service Management Using Statistical Learning Techniques.
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