Dr. Maneesh Agrawala

Professor

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Biography

Maneesh Agrawala is the Forest Baskett Professor of Computer Science at Stanford University and also holds a courtesy appointment in Electrical Engineering. He leads the Brown Institute for Media Innovation and has a research focus that includes computer graphics and human-computer interaction, as well as visualization. His work investigates cognitive design principles that improve the effectiveness of audio/visual media. He aims to discover design principles and create interactive automated design tools. Agrawala has received numerous honors for his contributions to the field, including the Okawa Foundation Research Grant, the NSF CAREER Award, and the MacArthur Fellowship. At Stanford, he has played a significant role in the academic community, serving as a faculty affiliate in the Institute for Human-Centered Artificial Intelligence. He has previously held professorships at the University of California, Berkeley. Agrawala's courses cover various aspects of computer science, enabling students to engage in advanced studies in the field.

Research Interests

Experience

Professor of Computer Science

2015-01-01 — Present

Stanford University • Stanford, CA

Leads research and teaching in computer science with a focus on visualization and human-computer interaction.

Professor of Electrical Engineering

2015-01-01 — Present

Stanford University • Stanford, CA

Holds a courtesy appointment in the Electrical Engineering department, engaging in interdisciplinary research.

Professor

2005-01-01 — 2015-01-01

University of California, Berkeley • Berkeley, CA

Contributed to computer science and visualization research, teaching advanced courses.

Awards

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Research Grant

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CAREER Award

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Research Fellow

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Significant New Researcher Award

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Fellow

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Fellow

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.