Scholar
Zhengchun Liu
Google Scholar ID: QmES0pkAAAAJ
Senior Applied Scientist @ AWS; Ex- Computer Scientist @ Argonne National Lab.; Scientist @ UChicago
Citations & Impact
Citations
1,495
H-index
21
i10-index
42
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- - 2022/07: IMPACT ARGONNE award for notable achievement in Innovation
- - 2021/11: Best paper awarded at the 3rd Annual Workshop on Extreme-Scale Experiment-in-the-Loop Computing
- - 2021/10: Future Generation Computer Systems 2021 Best Paper Award
- - 2020/05: IMPACT ARGONNE award for notable achievement in Innovation
- - 2019/12: Best paper award at the 2019 International Conference on Machine Learning for Networking (MLN’19)
- - 2019/11: Top Recognition Award in the Technical Challenge at SC’19 by SciNet for Real-Time Analysis of Streaming Synchrotron Data over High-Speed WAN using Deep Learning and HPC
- - 2019/03: 2019 Data Science and Learning Division Pacesetter Award by the Argonne National Laboratory
- - 2018/12: Best paper awarded at the 13th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities (TRIDENTCOM’18)
- - 2018/11: Best paper awarded at the 2018 International Conference on Machine Learning for Networking (MLN’18)
- - 2018/06: Extraordinary Doctorate Award by the Universitat Autònoma de Barcelona
Research Experience
- - Senior Machine Learning Scientist, AWS, Current Position
- - Computer Scientist, Data Science and Learning Division, Argonne National Laboratory, 8 years
- - Scientist At-Large, Consortium for Advanced Science and Engineering, University of Chicago, 8 years
Background
- - Research Interests: Development and research in Data, Artificial Intelligence, and High Performance Computing systems
- - Professional Field: AI for Science (AI4S) and computer systems including HPC, distributed computing, and AI systems
- - Brief Introduction: Currently working as a Senior Machine Learning Scientist at AWS, focusing on AI-powered scaling and optimization for AWS Data Warehouse services
Miscellany
- - Professional Membership: Association for Computing Machinery (ACM)
- - Co-Chair: SRMPDS 2017-2021, AI-Science 2019
- - Editorship: Journal of Future Generation Computer Systems, FGCS, 2020-2023
- - Technical Program Committee: Multiple international conferences
- - Conference Reviewer: Multiple international conferences
- - Journal Reviewer: Multiple journals
