Meet Our Plenary Speakers
Ayse Coskun is a full professor in the Electrical and Computer Engineering Department at Boston University and also serves as the Director of the Center for Information and Systems Engineering.
Coskun received a Ph.D. degree from the Computer Science and Engineering Department at UC San Diego.
Coskun’s research interests are broadly in design automation, computer architecture, and embedded systems, particularly focusing on energy efficiency, thermal challenges, and using analytics for intelligent system management. Coskun received the Ernest Kuh Early Career Award in 2017 for contributions to energy-efficient system-level design and an IBM Faculty Award in 2020 for work on applying AI-based methods for DevSecOps.
Current research directions include:
- design of future energy-efficient computer systems using new integration technologies (e.g. 3D-stacking, silicon photonic networks-on-chip, emerging on-chip cooling),
- applied machine learning for improving cloud and HPC performance, and
- sustainability in data centers via integration into smart grid programs.
Coskun currently serves as an associate editor of the IEEE Transactions on CAD and the IEEE Transactions on Computers.
Carole-Jean Wu is currently a Research Scientist and Technical Lead Manager at Meta. Her research sits at the intersection of computer architecture and machine learning with emphasis on developing energy- and memory-efficient systems and microarchitectures, optimizing systems for machine learning execution at-scale, and designing learning-based approaches for system design and optimization. She is passionate about pathfinding and tackling system challenges to enable efficient, responsible AI execution. Carole-Jean chairs the MLPerf Recommendation Benchmark Advisory Board, co-chaired MLPerf Inference, and serves on the MLCommons Board as a Director. Prior to Facebook/Meta, she was a tenured Associate Professor at ASU. Carole-Jean receives her M.A. and Ph.D. from Princeton and B.Sc. from Cornell.
Carole-Jean is the technical program co-chair for the 2022 Conference on Machine Learning and Systems (MLSys) and as the program chair for the 2018 IEEE International Symposium on Workload Characterization (IISWC). She has served on the technical program committees of ACM/IEEE ISCA, MICRO, and HPCA and on the editorial board of IEEE Computer Architecture Letters and IEEE Micro. She is the recipient of the NSF CAREER Award, Distinction of Honorable Mention of the CRA Anita Borg Early Career Award, the IEEE Young Engineer of the Year Award, the Science Foundation Arizona Bisgrove Early Career Scholarship, and the Intel PhD Fellowship, among a number of IEEE Micro Top Picks, IEEE Best Paper Awards.