Dr. Heiko Dietrich

Professor

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Biography

Heiko Dietrich is a Professor in the School of Mathematics at Monash University and serves as the Associate Dean of Graduate Education in the Faculty of Science. His research focuses on algebra and group theory, with a particular emphasis on computational group theory and mathematical areas that utilize computational methods in algebra. He is passionate about supervising students interested in computational algebra and welcomes discussions with those eager to explore research opportunities in this field. In addition to his research activities, Professor Dietrich is involved in various teaching efforts, primarily coordinating and lecturing units such as MTH2141/3141 (Algebra 1: Group Theory), MTH3150 (Algebra 2: Rings and Fields), MTH4141/5141 (Computational Group Theory), and MAT9004 (Mathematical Foundations of Data Science and AI). His contributions to the mathematics community also include active involvement with CSIRO's STEM Professionals in Schools program since 2013. Professor Dietrich's notable research interests encompass computational group theory, finite groups, and Lie algebras. He has led multiple research projects as the Primary Chief Investigator, showcasing his commitment to advancing knowledge in these areas.

Research Interests

Experience

Professor

2005-01-01 — Present

Monash University • Clayton, Australia

Teaching and research in mathematics, specializing in algebra and group theory.

Awards

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Australian Research Council Discovery Early Career Researcher Award

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Cheryl E. Praeger Visiting Research Fellowship

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Marie Curie Fellowship

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Monash Faculty of Science Commendation Award for Excellence in Research by an Early Career Researcher

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Simons Visiting Professorship

Courses

MTH2141/3141 (Algebra 1: Group Theory) MTH3150 (Algebra 2: Rings and Fields) MTH4141/5141 (Computational Group Theory) MAT9004 (Mathematical Foundations of Data Science and AI)

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.