Tamer Abdelaziz
Tamer Abdelaziz is a postdoctoral associate at SANAD Lab. Prior to this, he earned his doctoral degree from the National University of Singapore. His research primarily focuses on employing deep learning techniques to identify and mitigate security threats within smart contract source code, bytecode, and transactions. With a keen interest in security, privacy, distributed ledgers, programming languages, and software engineering, Abdelaziz delves into innovative approaches to bolster the security of blockchain systems. His current research endeavors explore the integration of blockchain verification techniques with the analysis of blockchain attacks. He is particularly dedicated to investigating the potential of deep learning in revolutionizing these fields.