Dr. Pavel Krivitsky

Assistant Professor

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Biography

Pavel Krivitsky is a Senior Lecturer in the School of Mathematics and Statistics at UNSW Sydney. He has a PhD in Statistics from the University of Washington. His research focuses on developing methods and models for collecting and analyzing complex network data, particularly in the fields of epidemiology and social sciences. Krivitsky is particularly interested in unusual and indirectly observed sampled network data, with a strong computational component, which includes the development and maintenance of numerous popular R packages available on CRAN. His contributions to the methodology of social network analysis have been recognized with various awards, including the Freeman Award for significant contributions as an early career researcher.

Research Interests

Experience

Senior Lecturer

2009-01-01 — Present

University of New South Wales • Sydney, NSW, Australia

Teaching and supervising students in mathematics and statistics, focusing on complex network analysis and statistical methodologies.

Awards

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Mid-career Impact Award

2024-01-01
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Freeman Award

2019-01-01
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Richards Award

2019-01-01

Courses

MATH3831 DATA5002 MATH5855/ZZSC5855 DATA1001

Requirements for University of New South Wales

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:23
Reading
Required:23
Writing
Required:23
Speaking
Required:23
Total
Required:90
PTE
Listening
Required:54
Reading
Required:54
Writing
Required:54
Speaking
Required:54
Overall
Required:64
Prerequisites
Recognised Bachelor degree Minimum 1 year relevant work experience for certain streams
Application Checklist
  • Academic Transcripts
  • Proof of English Language Proficiency
  • Curriculum Vitae (CV)
  • Personal Statement
  • Copy of Passport
Specialization Notes

Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.