Bio


Zerina Kapetanovic is an Assistant Professor in the Department of Electrical Engineering at Stanford University working in the area of low-power wireless communication, sensing, and Internet of Things (IoT) systems. Prior to starting at Stanford, Kapetanovic was a postdoctoral researcher at Microsoft Research in the Networking Research Group and Research for Industry Group.

Kapetanovic's research has been recognized by the Yang Research Award, the Distinguished Dissertation Award from the University of Washington. She also received the Microsoft Research Distinguished Dissertation Grant and was selected to attend the 2020 UC Berkeley Rising Stars in EECS Workshop. Kapetanovic completed her PhD in Electrical Engineering from the University of Washington in 2022.

Academic Appointments


Honors & Awards


  • Gabilan Fellow, Stanford University (2023)
  • Terman Faculty Fellow, Stanford University (2023)

Professional Education


  • PhD, University of Washington, Electrical Engineering (2022)

Stanford Advisees


All Publications


  • Communication by means of modulated Johnson noise PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA Kapetanovic, Z., Morales, M., Smith, J. R. 2022; 119 (49): e2201337119

    Abstract

    We present the design of a passive wireless communication method that does not rely on ambient or generated RF sources. Instead, the method modulates the Johnson (thermal) noise of a resistor to transmit information bits wirelessly. By selectively connecting or disconnecting a matched resistor to an antenna, the system can achieve data rates of up to 26 bps and distances of up to 7.3 m. This communication method operates at very low power, similar to that of an RFID tag, with the advantage of not requiring a preexisting RF signal to reflect.

    View details for DOI 10.1073/pnas.2201337119

    View details for Web of Science ID 001016364000002

    View details for PubMedID 36445963

    View details for PubMedCentralID PMC9894108

  • Carrier-Free RFID: Using Modulated Noise Communication to Read UHF RFID Tags IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION Garman, S., Saffari, A., Kobuchi, D., Stotland, D., Smith, J. R., Kapetanovic, Z. 2024; 8: 196-205
  • Cosmic Backscatter: New Ways to Communicate via Modulated Noise Kapetanovic, Z., Garman, S., Stotland, D., Smith, J. R., ACM ASSOC COMPUTING MACHINERY. 2023: 165-171
  • Modulated Noise Communication: Reading UHF RFID tags without a carrier Garman, S., Saffari, A., Kobuchi, D., Smith, J. R., Kapetanovic, Z., IEEE IEEE. 2023: 13-18
  • Whisper: IoT in the TV White Space Spectrum Chakraborty, T., Shi, H., Kapetanovic, Z., Priyantha, B., Vasisht, D., Vu, B., Pandit, P., Pillai, P., Chabria, Y., Nelson, A., Daum, M., Chandra, R., USENIX ASSOC USENIX ASSOC. 2022: 401-417
  • Democratizing Data-Driven Agriculture Using Affordable Hardware IEEE MICRO Chandra, R., Swaminathan, M., Chakraborty, T., Ding, J., Kapetanovic, Z., Kumar, P., Vasisht, D. 2022; 42 (1): 69-77
  • Low-Cost Aerial Imaging for Small Holder Farmers Jain, A., Kapetanovic, Z., Kumar, A., Swamy, V., Patil, R., Vasisht, D., Sharma, R., Swaminathan, M., Chandra, R., Badam, A., Ranade, G., Sinha, S., Nambi, A. N., Assoc Comp Machinery ASSOC COMPUTING MACHINERY. 2019: 41-51
  • Wireless Quantization Index Modulation: Enabling Communication Through Existing Signals Kapetanovic, Z., Talla, V., Parks, A., Qian, J., Smith, J. R., IEEE IEEE. 2018
  • EXPERIENCES DEPLOYING AN ALWAYS-ON FARM NETWORK GETMOBILE-MOBILE COMPUTING & COMMUNICATIONS REVIEW Kapetanovic, Z., Vasisht, D., Won, J., Chandra, R., Kimball, M. 2017; 21 (2): 16-21
  • WISPCam: An RF-Powered Smart Camera for Machine Vision Applications Naderiparizi, S., Kapetanovic, Z., Smith, J. R., ACM ASSOC COMPUTING MACHINERY. 2016: 19-22
  • WISPCam: A Battery-Free RFID Camera Naderiparizi, S., Parks, A. N., Kapetanovic, Z., Ransford, B., Smith, J. R., IEEE IEEE. 2015: 166-173