Dr. Vanessa Chen

Associate Professor

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Biography

Vanessa Chen is an Associate Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. She received her Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2013. Prior to her current position, she was an assistant professor at Ohio State University. She has worked at Qualcomm, focusing on intelligent data-acquisition systems for mobile devices, and held a research internship at IBM T. J. Watson Research Center in 2012. Her research emphasizes self-healing systems and high-speed data-conversion interfaces, contributing to discussions at top academic conferences such as the IEEE International Solid-State Circuits Conference (ISSCC). Dr. Chen has received several accolades, including the NSF CAREER Award in 2019, the Analog Devices Outstanding Student Designer Award in 2013, and the IBM Ph.D. Fellowship in 2012. Her research interests primarily involve hardware-algorithm co-design, machine learning, security, and neural interfaces.

Research Interests

Experience

Associate Professor

2019-01-01 — Present

Carnegie Mellon University • Pittsburgh, PA

Teaching and research in the field of electrical and computer engineering.

Assistant Professor

2013-01-01 — 2019-01-01

Ohio State University • Columbus, OH

Conducted research and taught courses in electrical and computer engineering.

Awards

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NSF CAREER Award

2019-01-01
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Analog Devices Outstanding Student Designer Award

2013-01-01
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IBM Ph.D. Fellowship

2012-01-01

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.