Benjamin Gaudette is currently a Ph.D. student in the computer engineering program at Arizona State University.  Under the guidance of Professor Sarma Vrudhula and Professor Carole-Jean Wu, Benjamin has conducted extensive research on improving user experience on smartphone devices.  A fundamental but often overlooked difference of mobile computing devices from their desktop and server counterparts is the increased variability in run-to-run execution -- resulting in dramatically varying QoS and power characteristics. To address this issue, Ben has developed novel modeling frameworks which accurately and efficiently capture the effects of these non-deterministic effects and is able to predict the energy and quality of service for mobile workloads.

Past Academic Career

Benjamin Gaudette pursued his undergraduate degree in Computer Systems Engineering at Arizona State University from 2006 to 2010.  During his undergraduate work he co-op at a small startup company in which his work was presented at the Consumer Electronics Show in 2010. He graduated Summa Cum Laude and was presented the Moeur award for his academic achievements.  He continued his academic career at Arizona State University by pursuing a Master’s of Science degree in Computer Science.  During this endeavor he joined ASU as a research assistant under Dr. Sarma Vrudhula and studied energy efficient operation of wireless sensor networks.  The course of his work produced two major publications.  The first was featured at a globally leading conference in Computer Networking, IEEE INFOCOM 2012.  The second was a Journal paper for a prestigious journal on Sensor Networks, ACM Transactions on Sensor Networks.

Upon completion of his Master’s degree, Ben is currently pursuing a Ph.D. in Computer Engineering.  He has shifted his studies slightly to performance and energy optimization of computer systems and currently is examining the smartphone domain.  He has extensive knowledge in system level design, mobile computing, and optimization.  His current achievements include a major publication at The International Symposium on High-Performance Computer Architecture, and significant involvement with industry partners to help recognize actual computer system issues which affect society today.  He has spent the summer of 2016 interning with Qualcomm during which time he developed thermal/performance simulators for their future smartphone processors.  Additionally, Ben is very active with the Center for Embedded in which members of industry discuss potential research issues with academia.  In the future Ben wishes to extend his work into approximately two journals papers and is targeting high quality computer science journals such as ACM Transactions on Embedded Computing Systems or ACM Transactions on Architecture and Code Optimization.

Research Interests

Computer Architectures, Stochastic Control Algorithms, HW/SW Co-design, SoC Design, Embedded systems


PhD. in Computer Engineering, Arizona State University [expected October 2017]
M.S. in Computer Science, Arizona State University [August 2012]
B.S.E in Computer Systems Engineering, Arizona State University [August 2010]