Kan Yang

Kan Yang is an Associate Professor in the Department of Computer Science at the University of Memphis, where he serves as director of the CryptoSec Lab and founder of the CyberCorps Scholarship for Service program. He holds roles in the Center for Information Assurance (CAE-CD, CAE-R) and oversees the cybersecurity program at both undergraduate and graduate levels.

Education: B.Eng. in Information Security from the University of Science and Technology of China (2008), PhD in Computer Science from City University of Hong Kong (2013). Postdoctoral research at City University of Hong Kong (2013–2014) and the University of Waterloo (2014–2016).

Research focuses on data security (cloud/IoT), blockchain (privacy/consensus), adversarial machine learning (federated/deep learning), and network security (5G/VANET). Notable achievements include over 50 high-impact publications, a $3.8M NSF CyberCorps grant, and awards like the ACM AsiaCCS Best Paper (2024).

Awards highlight contributions to security and privacy, including World’s Top 2% Scientists (2019–2024) and IEEE IoTJ Best Paper Runner-Up (2021). His work spans secure federated learning, blockchain-based systems, and privacy-preserving protocols.

Grants include NSF CyberCorps SFS ($3.8M), FedEx-funded projects on APT detection and federated learning. Advises PhD/Master’s students and leads initiatives like the Mid-South Cybersecurity Summit.

Labs/Teams: CryptoSec Lab, CyberCorps program, and collaborations with industry (e.g., FedEx Institute of Technology).