Zerina Kapetanovic
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science and of Geophysics
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
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Assistant Professor, Electrical Engineering
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Assistant Professor (By courtesy), Computer Science
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Assistant Professor (By courtesy), Geophysics
Honors & Awards
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Gabilan Fellow, Stanford University (2023)
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Terman Faculty Fellow, Stanford University (2023)
Professional Education
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PhD, University of Washington, Electrical Engineering (2022)
2024-25 Courses
- Introduction to Embedded Systems
EE 186 (Spr) - Wireless Sensing Systems
EE 392D (Win) -
Independent Studies (5)
- Master's Thesis and Thesis Research
EE 300 (Aut, Win, Spr) - Special Studies and Reports in Electrical Engineering
EE 191 (Aut, Win, Spr) - Special Studies and Reports in Electrical Engineering
EE 391 (Aut, Win, Spr) - Special Studies and Reports in Electrical Engineering (WIM)
EE 191W (Aut, Win, Spr) - Special Studies or Projects in Electrical Engineering
EE 390 (Aut, Win, Spr)
- Master's Thesis and Thesis Research
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Prior Year Courses
2023-24 Courses
- Digital System Design
EE 108 (Win) - Wireless Sensing Systems
EE 392D (Aut)
- Digital System Design
Stanford Advisees
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Doctoral Dissertation Advisor (AC)
Geneva Ecola -
Doctoral (Program)
Chae Young Lee, Bill Yen, Jida Zhang
All Publications
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Communication by means of modulated Johnson noise
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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
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FarmBeats: An IoT Platform for Data-Driven Agriculture
USENIX ASSOC. 2017: 515-529
View details for Web of Science ID 000427296400033
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Carrier-Free RFID: Using Modulated Noise Communication to Read UHF RFID Tags
IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION
2024; 8: 196-205
View details for DOI 10.1109/JRFID.2024.3379189
View details for Web of Science ID 001216331700003
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Cosmic Backscatter: New Ways to Communicate via Modulated Noise
ASSOC COMPUTING MACHINERY. 2023: 165-171
View details for DOI 10.1145/3626111.3628203
View details for Web of Science ID 001124843800022
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Modulated Noise Communication: Reading UHF RFID tags without a carrier
IEEE. 2023: 13-18
View details for DOI 10.1109/RFID58307.2023.10178464
View details for Web of Science ID 001035483700003
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Whisper: IoT in the TV White Space Spectrum
USENIX ASSOC. 2022: 401-417
View details for Web of Science ID 000876762200024
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Democratizing Data-Driven Agriculture Using Affordable Hardware
IEEE MICRO
2022; 42 (1): 69-77
View details for DOI 10.1109/MM.2021.3134743
View details for Web of Science ID 000752012500010
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Low-Cost Aerial Imaging for Small Holder Farmers
ASSOC COMPUTING MACHINERY. 2019: 41-51
View details for DOI 10.1145/3314344.3332485
View details for Web of Science ID 000503976700005
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Wireless Quantization Index Modulation: Enabling Communication Through Existing Signals
IEEE. 2018
View details for Web of Science ID 000444773200007
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EXPERIENCES DEPLOYING AN ALWAYS-ON FARM NETWORK
GETMOBILE-MOBILE COMPUTING & COMMUNICATIONS REVIEW
2017; 21 (2): 16-21
View details for DOI 10.1145/3131214.3131220
View details for Web of Science ID 000416305100004
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WISPCam: An RF-Powered Smart Camera for Machine Vision Applications
ASSOC COMPUTING MACHINERY. 2016: 19-22
View details for DOI 10.1145/2996884.2996888
View details for Web of Science ID 000392303700004
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WISPCam: A Battery-Free RFID Camera
IEEE. 2015: 166-173
View details for Web of Science ID 000370662400023