Associate Professor
Computer Science and Engineering
School of Computing, Informatics, and Decision Systems Engineering

Graduate Faculty of School of Electrical, Computer and Energy Engineering

Honors Faculty, Arizona State University


Ph.D., Princeton University
M.A., Princeton University
B.S., Cornell University

Research Interests

  • 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.

Curriculum Vitae

Wu Full CV(Updated on June 1, 2018)

My Students

  • Akhil Arunkumar (PhD candidate; 2013 — present)
  • Jhe-Yu Liou (PhD candidate; 2015 — present)
  • Srinath Dasari (PhD candidate; 2016 — present)

Post-doctoral Researcher

  • 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.