Homepage: https://zhuozhaoli.github.io/

1. Research Areas

High Performance Computing, Distributed Systems, Cloud/Edge Computing

2. Education

University of Virginia，Ph.D., May, 2018

University of Southern California, M.S., May, 2012

Zhejiang University, B.E., July, 2010

3. Experience

2021.08-Present , Assistant Professor, Department of Computer Science and Engineering, Southern University of Science and Technology, China

2018.07 – 2021.07，University of Chicago, Postdoctoral Scholar

4. Awards

ACM HPDC Best Paper Nominees, 2019

IEEEMASSService Award,2019

Outstanding Graduate Research Assistant, University of Virginia, 2018

5. Papers

Zhuozhao Li, Ryan Chard, Logan Ward, Kyle Chard, Tyler J. Skluzacek, Yadu Babuji, Anna Woodard et al. "DLHub: Simplifying publication, discovery, and use of machine learning models in science." Journal of Parallel and Distributed Computing (JPDC),vol. 147, pp. 64-76, 2021

Ryan Chard, Yadu Babuji, Zhuozhao Li, Tyler Skluzacek, Anna Woodard, Ben Blaiszik, Ian Foster, and Kyle Chard. "FuncX: A federated function serving fabric for science." In Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2020

Zhuozhao Li and Haiying Shen, "Co-scheduler: Accelerating Data-Parallel Jobs in Datacenter Networks with Optical Circuit Switching," in Proceedings of 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), 2019

YaduBabuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski et al. "Parsl: Pervasive parallel programming in python." In Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2019 (Best Paper Nominees)

Zhuozhao Li, Haiying Shen and C. Miles, "PageRankVM: A PageRank Based Algorithm with Anti-Collocation Constraints for Virtual Machine Placement in Cloud Datacenters," in Proceedings of 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018

Zhuozhao Li and Haiying Shen, "Measuring Scale-Up and Scale-Out Hadoop with Remote and Local File Systems and Selecting the Best Platform," IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 28, no. 11, pp. 3201-3214, 1 Nov. 2017

Zhuozhao Li, Haiying Shen, WalterLigon and Jeffrey Denton, "An Exploration of Designing a Hybrid Scale-Up/Out Hadoop Architecture Based on Performance Measurements,"IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 28, no. 2, pp. 386-400, 1 Feb. 2017

Zhuozhao Li and Haiying Shen. "Designing a hybrid scale-up/out hadoop architecture based on performance measurements for high application performance." In 2015 44th International Conference on Parallel Processing (ICPP), 2015.

10. Others

Openings:

Postdocs, Research Assistants

PhD, Master, and Visiting students