University of Siegen, Siegen, Germany
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Associated Partners in USA

Big Data and Artificial Intelligence Made in Germany inspiring the US

Associated partners and involved staff

This initiative Bridge-US consists of three German and three US partners. The initiative is coordinated by the University of Siegen.

Dr.Louiqa Raschid from the University is a professor at the University of Maryland. She has more than two decades of experience in data science. Dr. Raschid has made groundbreaking contributions to addressing challenges in data integration, data management and data mining. Her multidisciplinary research ranges from computer science to business information systems, with strong links to key data science applications, including bio and health sciences, humanitarian disaster relief applications, modeling human behavior in social flows, and modeling and managing financial ecosystems. She has been an ACM Distinguished Scientist since 2008 and was named an ACM Fellow in 2016.

Dr. Rachel Cummings is Assistant Professor at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Her research interests are primarily in the area of data protection with links to machine learning, algorithmic economics, optimization, statistics, and information theory. Her work focuses on issues such as strategic aspects of data generation, incentives for truthful reporting of data, the development of privacy algorithms, the impact of privacy policies, and human decisions.

Dr. Shahram Rahimi is a professor at Mississippi State University. His research interests include computational intelligence and soft computing. The components of soft computing include: Neural Networks (NN), Fuzzy Systems (FS), Evolutionary Computing (EC), Swarm Intelligence, Probabilistic Computing and Chaos Theory. Dr. Rahimi is also an expert in multi-agent systems (MAS), a core area of computational intelligence, both in theory and in application. An example of his theoretical research was the development of the API-Calculus in 2002. API-Calculus is a formal modeling tool for the design and development of multi-agent systems.

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