Research Areas

• Design and optimization of efficient machine learning hardware-software architectures

• Hardware accelerators for AI algorithms and systems, including emerging devices, e.g., RRAM (Resistive Random Access Memory), optical components, etc.

• Machine learning for eletronic design automation (EDA) of integrated circuits and systems

• Explainability of AI

• Neuromorphic computing

Research Projects

Reliability and Robustness Enhancement of RRAM-based Neuromorphic Computing, DFG research grant, 2022-2025

Academic CV

Since 2022 Assistant Professor (Tenure Track) for Hardware for Artificial Intelligence, TU Darmstadt

2018-2022 Group Leader on Heterogeneous Computing, TU Munich

2014-2018 Dr.-Ing. in Electrical and Computer Engineering (summa cum laude), TU Munich

Awards and Prizes

2024   2×Best Paper Award Nomination, Design Automation and Test in Europe (DATE)

2023   Best Paper Award Nomination, Design Automation and Test in Europe (DATE)

2019   Walter Gademann Preis for outstanding dissertation, TU Munich

2019   Dr.-Wilhelmy-VDI-Preis for outstanding dissertation, Germany

2016   Best Paper Award Nomination, ACM/IEEE Design Automation Conference (DAC)

2016   Silver Medal in ACM Student Research Competition on Electronic Design Automation

Publications