Danijela Cabric, professor of electrical engineering in the UCLA Samueli School of Engineering, and doctoral student Samer Hanna recently won the best paper award at the Institute of Electrical and Electronics Engineers International Conference on Computing, Networking and Communication.
Their paper, titled “Deep Learning Based Transmitter Identification using Power Amplifier Nonlinearity,” presents a promising physical layer security approach for authenticating thousands of IoT devices based on their radio frequency fingerprints.
Cabric’s research interests include wireless communications system design, cognitive radio networks and performance analysis and experiments on embedded platforms. She has been honored by IEEE in the past, winning their 2018–2019 ComSoc distinguished lecturer award. Her other awards include a National Science Foundation career award and an Okawa Foundation award.
The Institute of Electrical and Electronics Engineers is the world's largest technical professional organization for the advancement of technology. Their conference, held in Honolulu this February, is the premier meeting in the computer and communications fields.