Dr. Frank Tompa

Professor

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Biography

Frank Wm. Tompa is a Distinguished Professor Emeritus and Adjunct Professor at the David R. Cheriton School of Computer Science at the University of Waterloo. His research and teaching interests include data structures and databases, with a particular focus on designing text management systems for large reference texts, including the Oxford English Dictionary, and managing expansive heterogeneous text collections. Over his career, he has received numerous accolades, including being named a Fellow of the Asia-Pacific Artificial Intelligence Association in 2022 and an ACM Fellow in 2010 for significant contributions to text-dominated semi-structured data management. He has been recognized for his exceptional success in graduate supervision and has served on various educational initiatives aimed at promoting university-level education in software engineering. His profound impact on the field is highlighted by his awards and honors, including the Queen Elizabeth II Diamond Jubilee Medal in 2012. Tompa remains active in various professional organizations and committees to further advancements in computer science education and research.

Research Interests

Experience

Distinguished Professor Emeritus

2000-01-01 — Present

University of Waterloo • Waterloo, Ontario, Canada

Research and teaching in data structures and databases.

Awards

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Fellow

2022-01-01
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Lifetime Achievement Award

2015-01-01

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.