Dr. Ethan Macdonald

Associate Professor

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Biography

Ethan MacDonald is an Associate Professor in the Department of Electrical and Software Engineering at the University of Calgary, and an Adjunct Associate Professor in the Department of Radiology at the Cumming School of Medicine. He is a full member of the Hotchkiss Brain Institute and the Alberta Children's Hospital Research Institute. With a strong educational background, MacDonald holds a PhD and MSc in Biomedical Engineering from the University of Calgary, where he also completed a postdoctoral fellowship in Radiology. His research focuses on Magnetic Resonance Imaging (MRI), including aspects such as data acquisition, big data applications, and machine learning in biomedical settings. MacDonald's research themes encompass software and hardware for MRI, data integration, and intelligent algorithm generation inspired by brain circuits. He promotes a lab culture that values work-life balance, equity, diversity, and inclusion, aiming to prepare his trainees for successful careers in academia and industry.

Research Interests

Magnetic Resonance Imaging Big Data Machine Learning Biomedical Applications Image Acquisition Data Analytics

Experience

Associate Professor

2020-01-01 — Present

University of Calgary • Calgary, AB, Canada

Teaching and research in the Department of Electrical and Software Engineering.

Adjunct Associate Professor

2020-01-01 — Present

University of Calgary • Calgary, AB, Canada

Conducting research in the Department of Radiology.

Courses

BMEN 415 Sensor Systems & Data Analytics BMEN 509 Introduction Biomedical Imaging Applications ENSF 619.03 Advanced Data Analytics MDSC 689.02 Advanced Magnetic Resonance Imaging

Requirements for University of Calgary

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:97
GRE General
Verbal
Required:150
Quantitative
Required:159
Analytical Writing
Required:5.5
Overall
Required:5.5
Prerequisites
4-year Bachelor's degree in Computer Science or equivalent 3rd or 4th year course in Theory of Computation 3rd or 4th year course in Software Engineering 3rd or 4th year course in Systems (OS, Compilers, Networking) 3rd or 4th year course in Application (AI, Graphics, Databases)
Application Checklist
  • Unofficial Transcripts
  • Curriculum Vitae
  • Statement of Purpose
  • Two Letters of Reference
Specialization Notes

Department of Computer Science Master's program. GRE scores are expected for international students.