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- Gengrui Zhang received the M.Sc. degree from University of Chinese Academy of Sciences, China, in 2018. He is currently pursuing the Ph.D. degree with University of Toronto, Canada. His research interests include the development of efficient consensus algorithms for blockchains, cloud services, and distributed and parallel systems. He is also broadly interested in reinforcement learning and deep learning with an emphasis on optimizing event processing algorithms.
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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