Dr. Weina Wang

Associate Professor

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Biography

Weina Wang is an Associate Professor in the Computer Science Department at Carnegie Mellon University, having joined in Fall 2018. She previously held postdoctoral positions at the University of Illinois at Urbana-Champaign and Arizona State University, where she worked with Prof. R. Srikant and Lei Ying. Wang received her Ph.D. in Electrical Engineering from Arizona State University in 2016, under the advisement of Prof. Junshan Zhang. She was awarded the Dean’s Dissertation Award at the Ira Fulton Schools of Engineering at Arizona State University in 2016. Additionally, she has received the Kenneth C. Sevcik Outstanding Student Paper Award at the ACM SIGMETRICS in 2016 and the ACM MobiHoc 2022 Paper Award. Wang is an active co-organizer of the SNAPP (Stochastic Networks, Applied Probability, Performance) seminar series. Her research interests include algorithms, complexity, machine learning, and performance modeling & analysis, particularly focusing on the characterization of latency in large-scale computing systems, the coordination of data and computation, and investigating scaling behaviors in modern data centers.

Research Interests

Experience

Associate Professor

2018-08-01 — Present

Carnegie Mellon University • Pittsburgh, PA

Joined as an Associate Professor in the Computer Science Department.

Awards

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Dean’s Dissertation Award

2016-05-01
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Kenneth C. Sevcik Outstanding Student Paper Award

2016-06-01
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ACM MobiHoc 2022 Paper Award

2022-06-01
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NSF CAREER Award

2022-01-01

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.