Dr. Michael Davies

Professor

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Biography

Professor Michael E. Davies is a leader in the field of engineering, with a specialization in electronics and electrical engineering at the University of Edinburgh. As the Director of Research in the School of Engineering, he focuses on cutting-edge computational imaging and machine learning solutions. His current research themes emphasize the development of algorithmic frameworks that enhance imaging applications including medical imaging, sonar, radar, and seismic imaging. Through his work, Professor Davies aims to lay the groundwork for unsupervised machine learning methods in computational imaging that do not rely on extensive ground truth data. He is also engaged in data-driven computational sensing imaging, focusing on developing explainable and verifiable algorithmic solutions, especially in critical domains such as medicine and defense. His research involves a wide range of topics including sensor information fusion, adaptive data-driven sensor tasking, and the challenges of intelligence, surveillance, and reconnaissance using heterogeneous sensor networks. Professor Davies's significant contributions to the field are poised to redefine traditional approaches to imaging and sensing.

Research Interests

Experience

Director of Research

— Present

University of Edinburgh • Edinburgh

Overseeing the research initiatives within the School of Engineering, focusing on advancing imaging technologies and machine learning applications.

Requirements for University of Edinburgh

Master Program
Requirements
GPA Requirement
Required:3.25
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:100
Prerequisites
Undergraduate degree in business, management, or related subject
Application Checklist
  • Academic transcripts
  • Personal statement
  • One academic reference
  • CV/Resume
Specialization Notes

Department of Marketing