Team

DI

Thomas Pleschke

Silicon Austria Labs

Embedded Systems

 

“With the help of leading edge ML, advanced SP, IC design and communications science we seek to reduce the complexity, cost and  power-consumption of todays embedded systems for a highly innovative and a more sustainable tomorrow.”

Univ.-Prof. Dr.

Mario Huemer

JKU Linz

Institute of Signal Processing

 

“We strongly believe that with the huge amount of available data, the combination of classical model based signal processing approaches on the one hand and data driven machine learning tools and on the other hand will lead to most efficient solutions in many use cases.”

Univ.-Prof. Dr.

Sepp Hochreiter

JKU Linz

Institute for Machine Learning

“Artificial intelligence running on sophisticated hardware is key to our future with respect to economy, tackling climate change, mobility, and traffic, and improving our lives.”

Univ.-Prof. Dr.

Andreas Springer

JKU Linz

Institute for Communications Engineering and RF-Systems

“Wireless communication is one of the basic technologies in our highly networked world. However, wireless communication is just beginning to establish in industrial applications, where requirements such as reliability are significantly higher than in the field of consumer electronics. “

Univ.-Prof. Dr.

Robert Wille

JKU Linz

Institute for Integrated Circuits

“Incorporating emerging concepts such as neuromorphic computing, data-driven algorithms, or even quantum computing are promising ways forward but certainly open a whole set of new challenges. “

Dr.

Gorgoe Bognar

JKU Linz

Institute of Signal Processing

DI Dr.

Venkata Pathuri-Bhuvana

Silicon Austria Labs

Embedded Systems

PhD

Lothar Ratschbacher

Silicon Austria Labs

Embedded Systems

DI

Christian Huber

Silicon Austria Labs

Embedded Systems

MSc.

Markus Hofmarcher

JKU Linz

Machine Learning

MSc.

Simon Schmid

JKU Linz

Machine Learning

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