Konstantin Lübeck

Konstantin Lübeck is a Researcher at the Chair of Embedded Systems, Department of Computer Science, University of Tübingen. He holds a B.Sc. and M.Sc. in Computer Science from the same institution (2015, 2018), with academic focus on computer engineering and embedded systems. He studied at Uppsala University in 2016 as an Erasmus student and received a Stiftung Industrieforschung scholarship for his Master's thesis in 2017.

• B.Sc. and M.Sc. from University of Tübingen
• Erasmus exchange student at Uppsala University (2016)
• Stiftung Industrieforschung scholarship recipient (2017)

His research centers on machine learning accelerator performance modeling, combining computer architecture descriptions (from register-transfer to abstract diagrams) with DNN parameters for rapid design space exploration in neural network-hardware co-design. Key methodologies include analytical models for latency, throughput, and roofline analysis of AI accelerators.

The 8 listed publications (2016-2025) reveal trends in:

• Neural network-hardware co-design
• Abstract architecture modeling
• Ultra-low power AI accelerators
• Performance representatives for benchmarking
• Formal hardware description languages
• AutoML for accelerator optimization

Scientific contributions include

• Stiftung Industrieforschung scholarship (2017)

He has lectured on computer architecture since 2018 for the Bosch Learning Company initiative at Tübingen's technology transfer center and supervised 12+ theses projects (4 completed) involving Pico-CNN frameworks, cache modeling, RISC-V implementations, and systolic array architectures.