Dr. Peter Stuckey

Professor

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Biography

Professor Peter J. Stuckey is a leading academic in the Faculty of Information Technology at Monash University and a project leader at the Data61 CSIRO laboratory. He is a pioneer in constraint programming and specializes in solving complex combinatorial problems. His research interests encompass discrete optimization, programming languages—especially declarative programming languages—constraint solving algorithms, bioinformatics, and constraint-based graphics. With numerous publications in databases, timetabling, and system security, he has worked with companies like Oracle and Rio Tinto. He received his B.Sc and Ph.D. in Computer Science from Monash University in 1985 and 1988, respectively, and was recognized as an ACM Distinguished Scientist in 2009. In 2010, he was awarded the Google Australia Eureka Prize for Innovation in Computer Science for his work on lazy clause generation and received the University of Melbourne Woodward Medal for the most outstanding publication in Science and Technology across the university. In 2019, he was elected a Fellow of the Association for the Advancement of Artificial Intelligence. His expertise aligns with the UN Sustainable Development Goals, emphasizing his contribution to education and academic qualifications in Computer Science.

Research Interests

Awards

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Fellow

2019-01-31
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Eureka Prize

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Woodward Medal

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.