Ashkan Vedadi Gargary
I’m a 4th-year PhD student at the Computer Science of UC Riverside, where I am very fortunate to be advised by Prof. Zhijia Zhao.
I’m a 4th-year PhD student at the Computer Science of UC Riverside, where I am very fortunate to be advised by Prof. Zhijia Zhao.
cuJSON is a highly parallel JSON parser that achieves 2.5x speedup over the state-of-the-art GPU JSON parser, GJSON, and 3.6x speedup over the best CPU JSON parser.
A parallel BFS system that adapts between TopDown and BottomUp traversal strategies. Achieved up to 34.6x speedup over serial BFS via hybrid partitioning and dynamic traversal.
A dynamic shortest-path algorithm combining delta* and rho-stepping for optimal parallel performance. Introduced graph classification via 4 structural metrics to automate the stepping method and parameter selection. Outperformed fixed-parameter baselines with up to 1.5x speedup on large-scale graphs.
First survey that cover the combination of Federated Learning and Generative Models.
Research Intern · RiSE Group
Working under the supervision of Tyler Sorensen.
PhD + Teaching & Research Assistant, Computer Science
Working under the supervision of Zhijia Zhao.
GPA: 3.75/4

Bachelor of Science, Computer Science
Overall GPA: 3.9/4 (18.76/20) | Last Two Years CGPA (60 Credits): 4/4 (19.38/20)
Diplmoa, Mathematics and Physics
Overall GPA: 4/4
[Oct 2026] Serving as an artifact-evaluation committee member for Ppopp 2027. [Website]
[Sep 2026] Serving as an artifact-evaluation committee member for ALENEX 2027. [Website]
[Jun 2026] Joined Microsoft Research as an intern with the RiSE group!
[May 2026] Received the Outstanding Teaching Award from UC Riverside for the second year in a row! 🏆
[Mar 2026] Presented cuJSON at ASPLOS 2026. [Slides][Poster]
[Feb 2026] Attended the 20th SoCal PLS at USC, with a poster session for cuJSON. [Poster]
[Jan 2026] Serving as an artifact-evaluation committee member for ASPLOS 2026.
[Dec 2025] Attended NeurIPS 2025 in San Diego. [Link]
[Nov 2025] Passed my PhD oral/written candidacy exam at UC Riverside! 🎓
[Jun 2025] Our paper “cuJSON: A Highly Parallel JSON Parser for GPUs” was accepted to ASPLOS 2026 (acceptance rate: 20/208 = 9.6%). [Paper][Code]
[May 2025] Received the Outstanding Teaching Award from the UCR CS Department. (Grateful 🤗) [Award]
[Apr 2025] Attended the SOCAMS 2025 Symposium at UC Riverside.
[Mar 2025] Presented “Hyb-Stepping” and “BFSBlitz” at FCPC 2025 (co-located with PPoPP 2025) in Las Vegas, NV.
[Feb 2025] Our paper “BFSBlitz: A Highly Parallel Graph System for Breadth-First Search” was accepted to FCPC 2025. It focuses on parallel graph processing and optimization techniques for CPU-based BFS. [Paper]
[Feb 2025] Our paper “Hyb-Stepping: Hybrid Stepping for Parallel Shortest Paths” was accepted to FCPC 2025. It focuses on parallel graph processing and optimization techniques for CPU-based SSSP. [Paper]
[Feb 2025] Placed Top 3 in the FastCode Programming Challenge (FCPC 2025) at PPoPP 2025! 🏆 [Link]
[Feb 2025] Attended the 19th SoCal PLS (Feb 7, 2025) at UC San Diego. [Link]
[Oct 2024] Attended SPLASH 2024 (ACM SIGPLAN: Systems, Programming, Languages, and Applications: Software for Humanity). [Link]
[May 2024] Published the first version of my paper “A Systematic Review of Federated Generative Models”. It is the first survey that covers the combination of Federated Learning and Generative Models. [Paper]
[Jan 2023] Joined UC Riverside as a PhD student in Computer Science.
[Sep 2022] Ranked in the Top 10% of Amirkabir University’s Computer Science graduating class (GPA: 3.9/4, 18.76/20).
[Oct 2018] Joined Amirkabir University of Technology as a B.S. student in Computer Science.
[Sep 2018] Ranked 357th among ~150,000 participants in Iran’s nationwide university entrance exam (Konkur).
Please Check my Github: https://github.com/ashkanvg
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