Speaker: Dr. Katrin Bergener and Dr. Armin Stein

Abstract: tba

Short Bio: tba

Speaker: Prof. Dr. Patrick Zschech

Speaker: Dr. Markus P. Zimmer

Speaker: Prof. Herbert Kuchen

Abstract: The talk will give an overview of the research of my research groups over the years. Starting from the design and implementation of programming languages topics such as the integration of programming paradigms, high-level parallel programming, model-driven software engineering, process-driven applications, debugging, and testing will be touched. In particular, the visualization of data flows and the automatic generation of test cases covering them will be considered.

Speaker: Dr. Shweta Singh

Abstract: In order to mitigate algorithmic AI biases, there has been ample research to develop ‘de-biased’ AI solutions. However, researchers also acknowledge that technological fixes of AI bias and a mathematical notion of AI fairness is hard to come by. Thus, we propose a unique and novel technique to understand biases from the AI models and argue to integrate this knowledge in our society, in order to have bias free community, society and humanity.

Speaker: Prof. Daniel Beverungen