
Professor 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 — PresentMonash University • Clayton, Australia
Teaching and research in mathematics, specializing in algebra and group theory.
Awards
Australian Research Council Discovery Early Career Researcher Award
Cheryl E. Praeger Visiting Research Fellowship
Marie Curie Fellowship
Monash Faculty of Science Commendation Award for Excellence in Research by an Early Career Researcher
Simons Visiting Professorship
Courses
Requirements for Monash University
Master Program
Requirements
GPA Requirement
IELTS
TOEFL
Prerequisites
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.