Runhua Xu (许,润华)
is a Professor in
the School of
Computer Science and Engineering at
Beihang University.
Prior to that, he served as a Research Staff Member
at IBM
Research (AI S&P Solutions team).
He earned his Ph.D. in Information Security from
the School of Computing and
Information,
University of
Pittsburgh,
under the guidance of IEEE Fellow, Prof. James Joshi.
He also holds an M.S. in Computer Science from
Beihang University,
where he was advised by Prof. Bo Lang,
and a B.E. in Software Engineering from
NWPU.
Research Areas
Privacy-Enhancing Technologies and Secure Federated Learning
AI Privacy, Security, and Trustworthiness
Applied Cryptography, Blockchain, and Access Control
Trustworthy Computing Infrastructure for Edge and Cloud Systems
Dr. Runhua Xu is a Professor in the School of Computer Science and Engineering at Beihang University. His research focuses on privacy-enhancing technologies and secure federated learning, AI privacy, security, and trustworthiness, applied cryptography, blockchain, access control, and trustworthy computing infrastructure for edge and cloud systems. His work has appeared in leading conferences and journals including ACM CCS, USENIX Security, NeurIPS, AAAI, IEEE TDSC, and IEEE TIFS, and has received the ACM CCS 2023 Distinguished Paper Award, the 2023 China Blockchain Excellent Paper Award, and the sole Best Paper Award at IEEE CLOUD 2022. He serves as Vice Chair of the Power Artificial Intelligence Subcommittee under the IEEE PES Power System Communications and Cybersecurity Technical Committee, an Executive Committee Member of the CCF Technical Committee on Blockchain and the CCF Technical Committee on Network and System Security, a Senior Member of the Chinese Institute of Electronics, and a committee member of the CIE Technical Committee on Cyberspace Security. He is also an Associate Editor of IEEE Transactions on Dependable and Secure Computing and a Youth Editorial Board Member of ELSP Blockchain, and served on the Youth Editorial Board of Chinese Journal of Electronics.