Dr. Michael Rovatsos

Professor

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Biography

Michael Rovatsos is a Professor of Artificial Intelligence at the University of Edinburgh, where he has been part of the academic staff since 2004 after completing his PhD at the Technical University of Munich. His research focuses on multiagent systems, developing ethical and responsible AI algorithms. He has held various leadership roles, including Director of the Bayes Centre and Deputy Vice Principal Research for AI. Michael has coordinated projects worth over £18 million, working on social orchestration systems and algorithmic fairness. He emphasizes the importance of aligning AI-driven systems with human values and has interests in areas such as automated planning, game-theoretic AI, and neuro-symbolic approaches. Alongside his research, Michael is involved in teaching at both undergraduate and postgraduate levels, particularly in courses related to AI and entrepreneurship. He is an advocate for increasing female representation in AI and encourages students from underrepresented groups to apply for PhD programs under his supervision.

Research Interests

Experience

Professor

2019-01-01 — Present

University of Edinburgh • Edinburgh

Lead research in artificial intelligence and oversee multiple funded projects.

Reader

2017-01-01 — 2019-01-01

University of Edinburgh • Edinburgh

Conduct research and lecture on AI-related subjects.

Senior Lecturer

2013-01-01 — 2017-01-01

University of Edinburgh • Edinburgh

Teach and supervise students in artificial intelligence and related fields.

Lecturer

2004-01-01 — 2013-01-01

University of Edinburgh • Edinburgh

Started academic career teaching computer science and AI courses.

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