Middleware Systems Research Group

University of Toronto, Canada

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E-mail

michael.dangana@mail.utoronto.ca

Personal Home Page

http://www.linkedin.com/in/michaeldangana

Biography

Michael Dang'ana received his bachelor's degree in Computer Engineering from McGill University, and his master's degree from Carleton University. He is pursuing the Ph.D. degree with University of Toronto, Canada. His research interests include the nonlinear models, containerization, distributed systems and hardware optimization. He is also broadly interested in machine learning and quantum computing algorithms.

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Publications

• Reaching Consensus in the Byzantine Empire: A Comprehensive Review of BFT Consensus Algorithms.
  Gengrui Zhang, Fei Pan, Michael Dang'ana, Yunhao Mao, and Hans-Arno Jacobsen.
  In Arxiv, 2022.
  Tags: bft, consensus algorithms, fault tolerance