Dr. Mohammad Jalalzai

Senior Researcher | Monad Labs

Blockchain@UBC Alumni

Mohammad M. Jalalzai was a postdoctoral re-searcher in the Blockchain@UBC Cluster. He received his master’s degree in computer science from Technical University of Berlin in 2010 and his PhD from Louisiana State University (LSU) in 2019. His research is mainly focused on Distributed Systems, more specifically on designing, implementing and testing secure, efficient and scalable Byzantine Fault Tolerant (BFT) consensus algorithms for blockchain networks. He is also interested in the intersection of machine learning and cyber security.

Mohammad is now a PHD Research student at distributed systems lab, where he works to develop efficient and secure algorithms and implement them. Additionally, he is also collaborating with cyber security lab at LSU in a project to utilize machine learning/AI application in cyber security.

First Nations land acknowledegement

We acknowledge that the UBC Point Grey campus is situated on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm.

Blockchain@UBC

Computing, Information and Cognitive Systems, ICICS 179 – 2366 Main Mall
Vancouver, BC Canada V6T 1Z4
E-mail blockchain.ubc@ubc.ca

Research Excellence Clusters at UBC Vancouver is a joint initiative of the Provost and Vice-President, Academic, UBC Vancouver and the Vice-President, Research and Innovation. Funding support for the clusters is provided by Academic Excellence Funds – UBC Vancouver.

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