About me
I am a Postdoctoral Fellow in Machine Learning and Blockchain at UdeM. My research interests include machine learning for crypto price prediction, Blockchain scalability, probabilistic security analysis of sharding-based Blockchain protocols. I have been helping Jax.Network and Shardus startups in analyzing the security of their protocols.
Interests
- Machine Learning
- Blockchain Scalability
- Applied Probability
Education
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Postdoctoral Fellow in Machine Learning and Blockchain (expected), 2023
Montreal University
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Ph.D. in Applied Probability and Blockchain, 2021
Moulay Ismail University
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M.Sc. in Mathematical engineering, 2017
Abdelmalek Essaâdi University
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B.Sc. in Mathematics and their Applications, 2013
Moulay Ismail University
Recent & Upcoming Talks
Recent Publications
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(2022).
A Tractable Probabilistic Approach to Analyze Sybil Attacks in Sharding-Based Blockchain Protocols.
In IEEE Transactions on Emerging Topics in Computing.
Experience
Postdoctoral Fellow
Responsibilities include:
- Crypto price prediction using machine learning
- Security analysis of sharding-based Blockchain protocols
- Probabilistic security analysis of Shardus protocol
Visiting Research Student
Probabilistic security analysis of sharding-based Blockchain protocols.
Contact
- abdelatif.hafid@umontreal.ca
- 514 572 91 90
- 2920 chemin de la Tour, Montreal, CA H3T 1J4