Dr. Gerhard Weiss

Professor

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Biography

Gerhard Weiss is a Full Professor of Artificial Intelligence in the Department of Advanced Computing Sciences at Maastricht University, Netherlands. He has a distinguished academic background, receiving his PhD in Computer Science from Technical University Munich and a Habilitation Degree from Johannes Kepler University Linz in Austria. Weiss served as a Chair of DACS from 2010 to 2020 and was also an Honorary Professor in the Department of Computer Science at the University of Liverpool from 2014 to 2017. In addition to his academic roles, he has been involved in industrial research and development projects as the Scientific Director of SCCH GmbH in Austria, where he focused on strategic alignment and innovation management. Weiss led the AI/Cognition research group at the Technical University of Munich and has engaged as a scientific consultant for several European companies, emphasizing knowledge transfer between industry and academia. His main research interests lie in automated knowledge processing, machine learning—including multi-agent distributed learning—and various applications such as automated negotiation, scheduling, and cognitive robotics. He has contributed significantly to the fields of smart software/hardware systems capable of adaptive and autonomous interactions.

Research Interests

Experience

Full Professor

2010-01-01 — 2020-01-01

Maastricht University • Maastricht, Netherlands

Led research and academic activities in Artificial Intelligence.

Honorary Professor

2014-01-01 — 2017-01-01

University of Liverpool • Liverpool, UK

Engaged in teaching and research in the Department of Computer Science.

Scientific Director

2009-01-01 — Present

SCCH GmbH • Austria

Supervised R&D projects and managed strategic alignment between industry and academia.

Assistant Professor

2009-01-01 — 2010-01-01

Technical University Munich • Munich, Germany

Headed the AI/Cognition research group.

Requirements for Maastricht University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
GMAT
Total Score
Required:515
Writing
Required:4
Overall
Required:515
Prerequisites
Relevant Bachelor degree in Business, Economics, or related field Sufficient knowledge of quantitative methods and statistics
Application Checklist
  • Grades transcript of bachelor's programme
  • Copy of diploma
  • Curriculum Vitae
  • Motivation Letter (1-2 pages)
  • Passport picture
  • Copy of valid passport or ID
  • Permission for document verification form
Specialization Notes

The School of Business and Economics (SBE) encompasses departments like Organization, Strategy, Entrepreneurship, Finance, and Economics.