Contact
Biography
Dr. Dongfang Zhao joined the University of Washington (UW) in 2023 as a tenure-track assistant professor of computer science,
affiliated with the
Tacoma School of Engineering & Technology
and the
eScience Institute.
Previously, he was a Sloan postdoctoral fellow under the supervision of
Prof. Magdalena Bałazińska at the UW Allen School of Computer Science & Engineering.
Before relocating to the United States, he completed his thesis under the guaidance of
Prof. Irène Gijbels in the Department of Mathematics at Katholieke Universiteit Leuven, Belgium.
He is a U.S. citizen, naturalized in Sacramento, California.
Services
- Associate Editor: Journal of Big Data (Springer)
- Editorial Board: IEEE Transactions on Parallel and Distributed Systems (TPDS)
- Reviewer: zbMATH (European Mathematical Soceity)
- Technical Program Committee: SIGMOD/PODS, IPDPS, AAAI, WWW, etc.
Research
- I found the High-Performance Data-Intelligence Computing (HPDIC) research lab
- Publications indexed by third-parties: Google Scholar (overestimated due to my popular Chinese name), DBLP (missing some works)
- If you are interested in working or collaborating with me, here in the following are some potential topics:
- [SIGMOD'23] Toward Efficient Homomorphic Encryption for Outsourced Databases through Parallel Caching
- [IPDPS'22a] Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays
- [IPDPS'22b] DEAN: A Lightweight and Resource-efficient Blockchain Protocol for Reliable Edge Computing
- [ICDE'21] SciChain: Blockchain-enabled Lightweight and Efficient Data Provenance for Reproducible Scientific Computing
- [SC'21] BAASH: lightweight, efficient, and reliable blockchain-as-a-service for HPC systems
- [AAAI'20 oral] HDK: Toward High Performance Deep-Learning-Based Kirchhoff Analysis
- [SC'19] Swift machine learning model serving scheduling: a region based reinforcement learning approach
- [VLDB'17] Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads
- [TPDS'16] Towards Exploring Data-Intensive Scientific Applications at Extreme Scales through Systems and Simulations
- [IPDPS'13] ZHT: A Light-Weight Reliable Persistent Dynamic Scalable Zero-Hop Distributed Hash Table
- [TPAMI'09] Incremental Isometric Embedding of High-Dimensional Data Using Connected Neighborhood Graphs
Resources
- UW CSE: bicycle.cs.washington.edu
- UW Web: ovid.u.washington.edu
- UW HPC: klone.hyak.uw.edu
- TACC CPU: 129.114.109.16
- TACC GPU: 129.114.109.59
- UChicago GPU: 192.5.87.159
