Zhuo Lu (吕卓), Ph.D., Associate Professor
Electrical Engineering / Florida Center for Cybersecurity, University of South Florida.
4202 E. Fowler Avenue, ENG030, Tampa, FL 33620.
Office: ENB 347. Email: email@example.com.
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Dr. Zhuo Lu is an Associate Professor in Department of Electrical Engineering, University of South Florida. He is also affiliated with the Florida Center for Cybersecurity (CyberFlorida) and by courtesy with Department of Computer Science and Engineering. Dr. Lu received his Ph.D. degree from North Carolina State University in 2013. He currently leads the Communications, Security, and Analytics (CSA) Lab at University of South Florida. His research has been supported by NSF, ARO, ONR, DOE and Florida Center for Cybersecurity. He received the NSF CISE CRII award in 2016, the Best Paper Award from IEEE GlobalSIP in 2019, and the NSF CAREER award in 2021. Dr. Lu's research has been mainly focused on both theoretical and system perspectives on communication, network, and security. His recent research is equally focused on machine learning and AI perspectives on networking and security. He is a senior member of IEEE and a member of ACM and USENIX.
|[May, 2022] Generalized federated learning via sharpness aware minimization is to appear in ICML 2022.|
|[Apr, 2022] Perception-aware attack towards creating adversarial music has been accepted by ACM CCS 2022.|
|[Dec, 2021] Subverting MU-MIMO user selection is accepted by IEEE INFOCOM 2022 and secure federated learning is to appear in IEEE TDSC.|
|[Sep, 2021] The work of warmonger attack against cloud serverless functions is accepted by ACM CCS 2021.|
|[Jul, 2021] Combating adversarial network topology inference is to appear in IEEE/ACM Trans. Networking.|
|[Jun, 2021] Properly testing wireless channel for security is to appear in IEEE Trans. Information Forensics and Security.|
|[May, 2021] Shangqing and Zhengping join University of Oklahoma and Rider University as Assistant Professor of Computer Science, respectively.|
|[Nov, 2020] AI-empowered attack modeling against spectrum sensing is to appear in IEEE Transactions on Mobile Computing.|