Dr. Samuel Kaski

Professor

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Biography

Samuel Kaski is a distinguished researcher in the field of Artificial Intelligence, currently serving as a Professor at the University of Manchester. His research focuses on Machine Learning, Probabilistic Modelling, and their applications in areas such as Bioinformatics and Computational Medicine. Kaski holds significant positions including Research Director at the Christabel Pankhurst Institute and Director of multiple AI-focused centers at Aalto University. He has been recognized for his contributions to the field, notably receiving the Turing AI Fellowship. Samuel's work intersects with the United Nations Sustainable Development Goals, reflecting his commitment to using technology for societal benefit. His interests span User-Centered Design, Brain Signal Analysis, and User Interaction. Kaski's extensive collaboration and leadership in AI research positions him as a key figure in advancing the field on both a national and international level.

Research Interests

Experience

Professor

2021-01-01 — Present

University of Manchester • Manchester, ENG, GB

Leading research and educational initiatives in Artificial Intelligence.

Director

2021-01-01 — Present

Christabel Pankhurst Institute • Manchester, ENG, GB

Overseeing research projects aligned with health technology.

Director

2018-01-01 — Present

Finnish Center for Artificial Intelligence • Helsinki, FI

Leading initiatives in AI research and application.

Vice Director

2006-01-01 — 2011-01-01

Center of Excellence in Adaptive Informatics Research • Helsinki, FI

Managed research collaborations and projects in adaptive informatics.

Awards

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Turing AI Fellowship

2021-01-01
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Aalto University's Pioneering Excellence Award

2022-10-04

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.