Heike Trautmann
Papers
1
Total Citations
57
H-Index
1
About
Heike Trautmann is a leading figure in the fields of evolutionary multi-objective optimization, data science, and the ethical dimensions of artificial intelligence. Her work bridges rigorous algorithmic development with critical societal questions, making her a distinctive voice in computer science. She is perhaps best known for pioneering the concept of "automated algorithm selection" and for developing sophisticated benchmarking methodologies that have become standard for evaluating optimization algorithms. Her highly cited paper, "What is it about humanity that we can’t give away to intelligent machines? A European perspective" (2021, 57 citations), exemplifies her broader impact, exploring the growing tensions between human freedoms and machine control in the age of AI and robotics. This work, alongside her foundational contributions to performance assessment and visualization in multi-objective optimization, has shaped how researchers design and analyze complex systems. With a career spanning both technical innovation and ethical reflection, Trautmann’s research continues to influence how we understand, evaluate, and govern intelligent systems.
Research Focus
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Top Papers
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