Contact
Biography
Since 2025, Dr. Dongfang Zhao has been an adjunct assistant professor at the University of Washington
Paul G. Allen School of Computer Science & Engineering.
Since 2023, Dr. Dongfang Zhao has been a tenure-track assistant professor at the University of Washington Tacoma School of Engineering & Technology and
visiting the Allen School of Computer Science & Engineering, where he previously was a postdoc advised by
Prof. Magdalena Balazinska.
Prof. Zhao is a U.S. citizen naturalized in California originally relocating from Belgium,
where he completed his thesis in the Department of Mathematics van de Katholieke Universiteit Leuven.
Research
- I founded 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 with me on databases/HPC/AI, here in the following are some potential topics:
- [ICDM'25] ProHD: Projection-Based Hausdorff Distance Approximation
- [ECAI'25] IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning
- [ICWS'24] Privacy-Preserving Artificial Intelligence on Edge Devices: A Homomorphic Encryption Approach
- [PAKDD'24] Towards Nonparametric Topological Layers in Neural Networks
- [SIGMOD'23] Toward Efficient Homomorphic Encryption for Outsourced Databases through Parallel Caching
- [IPDPS'22] Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays
- [IPDPS'22] 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
- [NDSS'20] Consortium Blockchain for the Assurance of Supply Chain Security
- [PPoPP'20] Reflector: A Fine-Grained I/O Tracker for HPC Systems
- [SC'19] Swift machine learning model serving scheduling: a region based reinforcement learning approach
- [SC'19] HPChain: An MPI-Based Blockchain Framework for Data Fidelity in High-Performance Computing Systems
- [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
- If you are interested in working with me on algebraic geometry, I suggest reading the following texts first:
Teaching
I regularly offer the following courses every year (quarters may vary though):
Selected Professional Services
- Associate Editor: Journal of Big Data (Springer)
- Review Board: IEEE Transactions on Parallel and Distributed Systems (TPDS)
- Reviewer: zbMATH (European Mathematical Soceity)
Resources
- UW CSE: bicycle.cs.washington.edu
- UW Web: ovid.u.washington.edu
- UW HPC: klone.hyak.uw.edu
- TACC CPU: 129.114.109.34
- TACC GPU: 129.114.109.59
- UChicago GPU: 192.5.87.159
