Dr. David Luckham

Professor

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Biography

David Luckham is a Research Professor Emeritus in Electrical Engineering at Stanford University, with an extensive career in research and consulting in software technology. His interests include multi-processing languages, event-driven systems, complex event processing, and artificial intelligence, focusing on automated deduction and reasoning systems. He has held key academic positions at prestigious universities, including a Vinton Hayes Senior Research Fellowship at Harvard University and an Associate Professorship at UCLA's Computer Science Department. Among his notable contributions, Luckham has published four books and over 100 technical papers, receiving multiple awards for his work, including ACM/IEEE Paper Awards. His significant publications include 'The Power of Events' which provides a benchmark introduction to complex event processing and 'Event Processing Business' which outlines current applications in information technology. He has also served on review committees for important government and defense projects, showcasing his expertise at the intersection of research and practical implementation in advanced software methodologies.

Research Interests

Experience

Emeritus Faculty

— Present

Stanford University • Stanford, California

Conducts research in Electrical Engineering.

Vinton Hayes Senior Research Fellow

— Present

Harvard University • Cambridge, Massachusetts

Conducted research in software technology.

Senior Research Associate

— Present

Stanford Artificial Intelligence Laboratory • Stanford, California

Worked on automated deduction reasoning systems.

Associate Professor

— Present

UCLA Computer Science Department • Los Angeles, California

Taught courses related to programming languages and systems.

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.