Dr. Mert Pilanci

Assistant Professor

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Biography

Mert Pilanci is an Assistant Professor in the Department of Electrical Engineering at Stanford University. He received his Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley in 2016. Before joining Stanford, he was an Assistant Professor at the University of Michigan, where he also contributed to research in mathematics and signal processing. His research interests focus on large-scale machine learning, mathematical optimization, information theory, neural networks, and signal processing. He has been recognized for his scholarly work with several awards, including the CAREER Award from the National Science Foundation and the Early Career Award from the U.S. Army Research Office. Mert Pilanci actively participates in the academic community and has mentored numerous students during his tenure at Stanford.

Research Interests

Experience

Assistant Professor

2017-01-01 — Present

Stanford University • Stanford, CA

Assistant Professor in the Department of Electrical Engineering.

Assistant Professor

2017-01-01 — Present

University of Michigan • Ann Arbor, MI

Assistant Professor in the Department of Electrical Engineering and Computer Science.

Postdoctoral Fellow

2016-01-01 — 2017-01-01

Stanford University • Stanford, CA

Math+X postdoctoral fellow working with Emmanuel Candès.

Awards

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CAREER Award

2023-01-01
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Early Career Award

2021-01-01
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ICASSP Paper Award

2021-01-01
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Poster Award

2020-01-01
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Faculty Research Award

2020-01-01
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Faculty Research Award

2019-01-01
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Terman Faculty Fellow

2018-01-01
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Math+X Postdoctoral Fellowship

2016-01-01
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PhD Fellowship

2013-01-01
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Paper Award

2010-01-01

Courses

CME 364B EE 364B EE 301 EE 269 CME 390 APPPHYS 290 EE 300 CME 400 CME 391 EE 391 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.