Computer Science and Engineering
School of Computing, Informatics, and Decision Systems Engineering
Honors Faculty, Arizona State University
Ph.D., Princeton University
M.A., Princeton University
B.S., Cornell University
- High-performance and energy-efficient heterogeneous architecture
- Energy harvesting for emerging computing devices
- Energy management for portable electronics
- Temperature-aware computing
- Advanced processor and system cooling designs and management
- Performance characterization, analysis and prediction
- High-performance and power-efficient memory designs
Carole-Jean Wu is an Associate Professor of Computer Science and Engineering in the School of Computing, Informatics, and Decision Systems Engineering in Arizona State University. She holds a Visiting Researcher position with Facebook’s AI Infrastructure. Before joining ASU, Prof. Wu held a number of industrial internship positions with Intel, IBM, and Google. She is a senior member of both ACM and IEEE.
Prof. Wu works in the area of Computer and System Architectures. In particular, her research interests include high-performance and energy-efficient computer architecture through hardware heterogeneity, energy harvesting techniques for emerging computing devices, temperature and energy management for portable electronics, performance characterization, analysis and prediction, and memory subsystem designs. She is the recipient of the 2018 IEEE ITHERM Best Paper Award, the 2017 NSF CAREER Award, the 2017 IEEE Young Engineer of the Year Award, the 2014 IEEE Best of Computer Architecture Letter Award, the 2013 Science Foundation Arizona Bisgrove Early Career Scholarship, and the 2011-12 Intel Ph.D. Fellowship. Her research has been supported by both industry sources and the National Science Foundation, to a level over $1.8 million.
She currently serves on the Executive Committee of the IEEE Technical Committee on Computer Architecture (TCCA) and is the Program Chair for the 2018 IEEE International Symposium on Workload Characterization. Prof. Wu completed her M.A. and Ph.D. degrees in Electrical Engineering from Princeton University. She received a B.Sc. degree in Electrical and Computer Engineering from Cornell University.
Wu Full CV(Updated on June 1, 2018)
- Akhil Arunkumar (PhD candidate; 2013 — present)
- Jhe-Yu Liou (PhD candidate; 2015 — present)
- Srinath Dasari (PhD candidate; 2016 — present)
- Viraj Wadhwa (High school intern from BASIS Chandler Primary, 2017-18; Now an undergraduate student at UT-Auston) [Improving Image Recognition with Tensor Flow API for Autonomous Driving]
- TJ Smith (Research Experience for Undergraduates (REU) from Princeton EE; 2017)
- Katherine Hann (High school intern from Xavier College Preparatory High School, 2017. Now an undergraduate student at University of Pennsylvania) [Designing A Paired Robotic Car Indoor Navigation and Tracking System]
- Rashmi Athavale (High school intern from Hamilton High School, 2017; Now an undergraduate student at Georgia Tech) [Designing A Paired Robotic Car Indoor Navigation and Tracking System]
- Benjamin Gaudette (PhD 2017; co-advised with Prof. Sarma Vrudhula) [First employment: Benchmark Electronics] [An Intelligent Framework for Energy-aware Mobile Computing Subject to Stochastic System Dynamics]
- Shin-Ying Lee (PhD 2017) [First employment: Samsung Austin R&D Center] [Intelligent Scheduling and Memory Management Techniques For Modern GPU Architectures]
- Received the Outstanding Computer Engineering PhD Graduate Student Award
- Kody Stribrny (BS 2017; co-advised with Prof. Sarma Vrudhula) [First employment: Amazon] [Honors Thesis: Mobile Waterway Monitor]
- Davesh Shingari (MS 2016) [First employment: Marvell] [Memory Interference Characterization and Mitigation for Heterogeneous Smartphones]
- Soochan Lee (PhD 2015; co-advised with Prof. Patrick E. Phelan) [First employment: LG Electronics] [A Study of Latent Heat of Vaporization in Aqueous Nanofluids]
- Ryan Brazens (BS 2014) [First employment: Intel]
- Dhinakaran Pandiyan (MS 2014) [First employment: Intel] [Data Movement Energy Characterization of Emerging Smartphone Workloads for Mobile Platforms]
- Received the Outstanding Computer Engineering MS Graduate Student Award
- Amrit Panda (PhD 2014; co-advised with Prof. Karam S. Chatha) [First employment: Qualcomm Research] [StreamWorks: An Energy-efficient Embedded Co-processor for Stream Computing]
- Ying-Ju Yu (2016-17) [First employment: Intel]
Note to New Students
- If you are a prospective student, please read this note before contacting me about graduate school. I am a faculty member in Computer Science and Engineering in the School of Computing, Informatics, and Decision Systems Engineering of Arizona State University. The department offers graduate degrees in Computer Science as well as Computer Engineering. Therefore, if you are interested in ASU, I encourage you to apply to the degree major that best suits your background and interests.
If you are a student at ASU and are interested in my research work, I encourage you to take my courses (Computer Architecture and/or Advanced Computer Architecture) and perform well in class. In general, I am happy to talk to students who show a sincere interest in understanding my research before expressing a generic interest in working with me.
If you are considering to apply for PhD programs, here is the document “Applying to Ph.D. Programs in Computer Science” written by Mor Harchol-Balter. Reading her document would be very instructive. I am also happy to discuss about graduate school opportunities with students who consider this path.