Dr. Angelo Cangelosi

Professor

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Biography

Angelo Cangelosi is a Professor at the University of Manchester, co-director and founder of the Manchester Centre for Robotics and AI. He has a diverse background in cognitive developmental robotics, neural networks, language grounding, human-robot interaction, and robot companions in health and social care. As a principal investigator, he has secured over £38 million in research grants, including for projects from the European Research Council and UKRI. Cangelosi has published more than 300 scientific works and is an editor-in-chief for several academic journals. His recent publications include the co-edited book 'Cognitive Robotics' and the authoring of 'Developmental Robotics: Babies Robots.' He holds significant academic positions, including a fellowship at the Alan Turing Institute, and has collaborated with industry giants such as Honda and BAE Systems. Cangelosi has played a key role in organizing numerous international conferences and has received multiple prestigious awards for his research contributions. His ongoing research includes numerous projects targeting cutting-edge developments in the fields of robotics and AI.

Research Interests

Experience

Professor

2018-08-01 — Present

University of Manchester • Manchester, ENG

Leading research in cognitive robotics and AI.

Turing Fellow

2018-10-01 — 2024-12-31

Alan Turing Institute • London, ENG

Conducting research as a Turing Fellow.

Visiting Professor

2019-01-01 — Present

Università Cattolica Del Sacro Cuore • Milan, IT

Teaching and research in media education.

Visiting Distinguished Research Fellow

2018-01-01 — 2022-12-31

AIRC • Tokyo, JP

Research fellowship at the National Institute of Advanced Industrial Science and Technology.

Awards

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ERC Advanced Grant

2023-03-01
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IEEE ICDL-EPIROB Modelbot Award

2019-08-21

Requirements for University of Manchester

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:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.