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: firstname.lastname@example.org.
Tracking Communications, Network, and Security Conferences: Click Here.
Ph.D. Student Recruitment: Click Here.
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.
|[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.|
|[Mar, 2020] The video presentation for comb decoding in NSDI 2020 has been posted at YouTube.|
|[Dec, 2019] One paper to appear in NSDI 2020: designing comb decoding towards a collision-free WiFi enviornment.|
|[Dec, 2019] Two papers to appear in IEEE INFOCOM 2020: combating adversarial topology inference and learning Optimal Sniffer Channel Assignment.|