My name is Nan Cheng, and I am currently pursuing my PhD in the Cybersecurity and Applied Cryptography group led by Professor Katerina. My research focuses on multi-party secure computation, specifically on enhancing concrete efficiency through the design of more efficient cryptographic primitives or the development of specialized protocols. These protocols aim to improve efficiency in various secure computation challenges, including Private Set Intersection (PSI), secure machine learning inference, and secure aggregation, etc. My goal is to integrate more efficient MPC technologies into practical applications.

I earned my MSc in Cryptography Technology from Fudan University in 2021. Before embarking on my academic path, I gained industry experience working as a software engineer from 2012 to 2017. Prior to this, I obtained my Bachelor's degree in Computer Science from Jiangxi Agricultural University.