Danijela Cabric
Aditya Wadaskar
Ruifu Li
Rushabha Balaji
Yen-Chin Wang
Benjamin Domae
Ibrahim Pehlivan
Tianyi ZhaoT. Zhao, B. W. Domae, C. Steigerwald, L. B. Paradis, T. Chabuk and D. Cabric, "Drone RF Signal Detection and Fingerprinting: UAVSig Dataset and Deep Learning Approach," MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024
Cognitive Reconfigurable Embedded Systems Lab
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CORES Lab - UCLA
Ding Zhao
Hi! I’m a 2nd year MS student in the CORES Lab. My areas of research interest focus on wireless systems and networking, as well as mobile and ubiquitous computing.
Education
- M.S., Electrical and Computer Engineering, UCLA, 2022-2024
- B.E., Electronics Science and Technology, Zhejiang University, 2018-2022
Publications
T. Zhao, S. Sarkar, Y. Tian and D. Cabric, "Anomaly Transmitter Recognition and Tracking," 2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Washington, DC, USA, 2024
D. Zhao, I. Pehlivan, A. Wadaskar and D. Cabric, “Fast Frequency-Direction Mapping Design for Data Communication With True-Time-Delay Array Architecture, ” 2024 International Conference on Computing, Networking and Communications: Signal Processing for Communications (ICNC’24 SPC)
Structured Two-Stage True-Time-Delay Array Codebook Design for Multi-User Data CommunicationCode book Design for Multi - User Data Communication," GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 3378-3384, doi: 10.1109/GLOBECOM54140.2023.10437220.
T. Zhao, S. Sarkar, E. Krijestorac, and D. Cabric, "GAN-RXA: A Practical Scalable Solution to Receiver-Agnostic Transmitter Fingerprinting" in IEEE Transactions on Cognitive Communications and Networking, April 2024
J. Feng, T. Zhao, S. Sarkar, D. Konrad, T. Jacques, D. Cabric, and N. Sehatbakhsh. "Fingerprinting IoT Devices Using Latent Physical Side-Channels," Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7, 2, Article 54, June 2023
Contact
dingzhao99[at]ucla[dot]edu