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- Gengrui (Edward) Zhang is a PhD candidate in the Department of Electrical & Computer Engineering at the University of Toronto under the supervision of Hans-Arno Jacobsen. His research focuses on distributed systems, especially consensus algorithms and fault tolerance. He aims to develop architectures and algorithms that target high performance, fortify security, generalize better, and uncover the structure underlying a problem. He is especially interested in developing consensus algorithms binding efficiency and robustness under various fault-tolerant models and applying theoretical problems to real-world applications. Towards these objectives, he is also broadly interested in questions related to consistency models, blockchain systems, distributed file systems, cloud databases, P2P systems, and CRDTs.
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- Prosecutor: An efficient BFT consensus algorithm with behavior-aware penalization against Byzantine attacks.
Gengrui Zhang and Hans-Arno Jacobsen.
In Proceedings of the 22nd International Middleware Conference, December 2021.
Tags: blockchains, dlt, distributed ledger, consensus, bft
- Blockchain for V2X: A Taxonomy of Design Use Cases and System Requirements.
Hans-Arno Jacobsen, Shashank Motepalli, Gengrui Zhang, Hans-Arno Jacobsen, and Shiquan Zhang.
In BRAINS, September 2021.
Tags: blockchains, dlt, v2x, distributed ledgers