Dr. Ulrik Egede

Professor

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Biography

Ulrik Egede is a professor specializing in Experimental High Energy Physics at Monash University. His research focuses on searching for phenomena beyond the Standard Model of particle physics. He has significant experience in the application of artificial intelligence techniques for real-time data processing and selection, particularly in flavour tagging for electron-positron colliders and in the study of electroweak penguin decays. His work includes developments and upgrades to the LHCb detector, providing essential contributions to understanding weak decays and the properties of Higgs bosons. Egede has a long-standing collaboration with numerous research initiatives, including projects at CERN, and has mentored students in complex data analysis involving machine learning. His notable publications include critical evaluations of quark coupling strengths and investigations into the non-factorisable effects in particle decays. He received his PhD from Lund University, focusing on the search for the Standard Model Higgs using innovative techniques developed during his academic career. With an h-index of 155, he continues to significantly contribute to advances in particle physics research.

Research Interests

Experience

Professor

2001-01-01 — Present

Monash University • Melbourne, Australia

Engaged in teaching and advanced research in high energy physics, focusing on particle physics and detector technology.

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.