Dr. Spiridon Penev

Professor

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Biography

Spiridon Penev is a Professor at the School of Mathematics and Statistics at the University of New South Wales, Sydney, where he has been associated since 1992. He completed his PhD in Mathematical Statistics at Humboldt University in Berlin, Germany. Over his academic career, he has been promoted from lecturer to Senior Lecturer and then to Associate Professor in 2011, achieving the rank of Professor in 2019. His teaching portfolio includes courses in Statistical Inference, Multivariate Analysis, Longitudinal Data Analysis, and various statistical methods pertinent to market research and experimental design. Penev has displayed substantial involvement in research, with interests in areas such as Wavelet Methods, non-parametric curve estimation, and Structural Equation Models, contributing significantly to the field of statistical inference and stochastic risk modeling. He has been recognized through awards such as the DAAD award and as an elected member of the International Statistical Institute.

Research Interests

Experience

Professor

2019-01-01 — Present

University of New South Wales • Sydney, NSW, Australia

Professor in the School of Mathematics and Statistics, focusing on various statistical methodologies and research.

Associate Professor

2011-01-01 — 2018-12-31

University of New South Wales • Sydney, NSW, Australia

Associate Professor in the School of Mathematics and Statistics.

Senior Lecturer

1999-01-01 — 2010-12-31

University of New South Wales • Sydney, NSW, Australia

Senior Lecturer responsible for teaching and research.

Lecturer

1992-01-01 — 1998-12-31

University of New South Wales • Sydney, NSW, Australia

Lecturer in the School of Mathematics and Statistics.

Awards

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DAAD Award

#

Elected Member

Courses

Statistical Inference Multivariate Analysis Longitudinal Data Analysis Categorical Data Analysis Statistical Methods for Social Market Research Design and Analysis of Experiments Regression

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.