Adam Wierman's research interests center around resource allocation and scheduling decisions in computer systems and services. More specifically, his work focuses both on developing analytic techniques in stochastic modeling, queueing theory, scheduling theory, and game theory, and applying these techniques to application domains such as energy-efficient computing, data centers, social networks, and the electricity grid.
Steven Low's research is currently directed toward the control and optimization of communication networks and the electricity grid. In the past, he has developed a duality model of network congestion control that helps understand the current internet congestion control algorithms, expose their deficiencies, and design more efficient ones. Currently, he is focusing on developing new algorithms and architectures for handling intermittency in the electricity grid.
Lachlan Andrew (Monash University, Australia) studies resource allocation algorithms. His work has covered data networks, including the internet and wireless networks, energy efficiency in data centres, and energy storage algorithms.
- Southern California Edison
- Yuan Chen, HP Research
- Paul De Martini, Newport Consulting Group
- Sachin Adlakha, Ayasdi
- Lachlan Andrew, Senior Lecturer, Monash University, Australia
- Lijun Chen, Assistant Professor, University of Colorado at Boulder
- Libin Jiang, Qualcomm
- Yunjian Xu, Singapore University of Technology and Design
- Lingwen Gan, Facebook
- Minghong Lin, Facebook
- Zhenhua Liu, Assistant Professor, Stony Brook University
- Jayakrishnan Nair, Assistant Professor, IIT Bombay
- Michael Hirshleifer
- Katie Knister
- Iris Liu
- Benjamin Razon
- Eric Yizhen Wang