Gerhard Weiss

 

Professor of Computer Science and Artificial Intelligence

 

Department of Data Science and Knowledge Engineering

Maastricht University, The Netherlands

 

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I am a Full Professor of Artificial Intelligence and Computer Science at the Department of Data Science and Knowledge Engineering (DKE) at Maastricht University since 2009. I am the chair of DKE, and within DKE I am head of the "Robots, Agents, and Interaction" (RAI) research group and co-director of the Swarmlab robotics laboratory. From 2014 to 2017 I was a Honorary Professor at the Department of Computer Science at the University of Liverpool (UK).

 

Before joining Maastricht University I was the Scientific Director of SCCH GmbH (Austria), where my main responsibilities were e.g. the supervision and control of R&D projects for companies, the national and international positioning, strategic alignment, research and innovation management, coordination of funding acquisition, and industrial and scientific networking. Before that I was Assistant Professor at the Computer Science Department at Technical University Munich (Germany), where I headed the AI/Cognition research group at the Chair for Theoretical Computer Science and Foundations of Artificial Intelligence. I received my PhD in Computer Science from Technical University Munich and the Habilitation Degree from Johannes Kepler University Linz (Austria).

 

I have been engaged as a scientific consultant for various European companies, including e.g. Siemens and EADS, and as an advisory board member of companies of different size. A particular focus of this engagement has been on the bi-directional know how transfer among industry and academia.

 

My main research interests are in automated knowledge processing and the foundations and practical applications of artificial intelligence and multiagent systems. I am particularly interested in adaptive, learning systems and in the design and analysis of smart software/hardware systems and devices that are able act and interact cooperatively and competitively in a flexible and autonomous way. My primary research focus is on machine learning (including multiagent and distributed learning), with applications in various domains such as automated negotiation, scheduling, manufacturing, brain-computer interfaces, and cognitive robotics.


Miscellaneous: My academic ancestry and my Erdös number.  

 

Thank you for your interest in my work.