Dr. Zerina Kapetanovic

Assistant Professor

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Biography

Zerina Kapetanovic is an Assistant Professor in the Department of Electrical Engineering at Stanford University, specializing in low-power wireless communication, sensing, and Internet of Things (IoT) systems. Before joining Stanford, she was a postdoctoral researcher at Microsoft Research in the Networking Research Group. Her research has been recognized with the Yang Research Award and the Distinguished Dissertation Award from the University of Washington, where she completed her Ph.D. in Electrical Engineering in 2022. In addition, she received the Microsoft Research Distinguished Dissertation Grant and was selected to attend the 2020 UC Berkeley Rising Stars in EECS Workshop. At Stanford, she has been awarded the Gabilan Fellowship and the Terman Faculty Fellow position in 2023, further underlining her contributions to the field and her commitment to academic excellence.

Research Interests

Experience

Assistant Professor

2022-07-01 — Present

Stanford University • Stanford, CA

Teaching and researching in the fields of low-power wireless communication, sensing, and IoT systems.

Postdoctoral Researcher

— Present

Microsoft Research • Redmond, WA

Conducted research in networking and wireless communication.

Awards

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Yang Research Award

2022-01-01
#1

Distinguished Dissertation Award

2022-01-01
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Gabilan Fellow

2023-01-01
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Terman Faculty Fellow

2023-01-01

Courses

EE 186 EE 284A EE 392D EE 300 EE 191 EE 391 EE 191W EE 390

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.