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  • Hi, Iā€™m @FadulSikder. I am a first-generation international student pursuing my Ph.D. in the United States.
  • Currently, my research interests are situated in the sphere of Blockchain, Smart Contract, and the security and trustability implications of those technologies. I am researching to apply traditional software analysis techniques like symbolic execution and fuzzing to create new tools and approaches for testing Smart Contracts on different Blockchain platforms like Ethereum, Cardona, Solana, etc.
  • Iā€™m currently learning Web3 Development and Spring Boot. I am proficient in C++, Object Oriented Programming. Additionally, I have expertise in Machine Learning, Semantic Analysis.
  • Iā€™m looking to collaborate on the research area mentioned earlier. Additionally, my long-term goal is to get expertise in Systems Design, which will enable me to develop complex systems. I am also open to collaboration in this area if possible.
  • Ping me in my LinkedIN if needed.

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Fadul Sikder's Projects

beigepaper icon beigepaper

Rewrite of the Yellowpaper in non-Yellowpaper syntax.

cyclic-toposort icon cyclic-toposort

Implements sorting algorithm for directed acyclic as well as cyclic graphs. The directed cyclic graphs are sorted by determining the minimal amount of cyclic edges and optionally then also determining the maximum amount of groupings possible with a minimal amount of cyclic edges.

fadulsikder.github.io icon fadulsikder.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

gnnscvuldetector icon gnnscvuldetector

Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)

ilf icon ilf

AI based fuzzer based on imitation learning

leetcode icon leetcode

Collection of LeetCode questions to ace the coding interview!

mythril icon mythril

Security analysis tool for EVM bytecode. Supports smart contracts built for Ethereum, Hedera, Quorum, Vechain, Roostock, Tron and other EVM-compatible blockchains.

xfuzz_tool icon xfuzz_tool

Tool of xfuzz, machine learning guided cross-contract fuzzing

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