Institute of Microelectronics

M.Sc. Simon Wilhelmstätter

I studied electrical engineering at the University of Ulm, where I received my B.Sc. degree with a minor in Computer Science in 2020 and my M.Sc. degree in 2023. Beginning in April 2022, I completed a 7-month internship at the Robert Bosch Research and Technology Center in Sunnyvale, CA. The title of my Master's Thesis was "Design and Implementation of the Dataflow for a Versatile Neural-Network Inference-System".

In September 2023 I started working towards my Ph.D. degree at the Institute of Microelectronics at the University of Ulm under the supervision of Prof. Dr.-Ing. Maurits Ortmanns.

Student Theses

[mt] = Master thesis, [rp] = Bachelor thesis

Current theses

  • Daniel Zell
    Stochastic Methods for Side-Channel Attacks on FPGA-based Neural Network Accelerators[mt]
  • Julian Frimmel
    A Digital Interface for an Analog IMC Core[mt]

Abgeschlossene Arbeiten

  • Alexander Harrer
    Enabling the Inference of Transformer Networks on a RISC-V based System[mt]
  • Mohamed Alsharkawy
    Design of a Hardware in the Loop Test Setup for Neural Network Accelerators[mt]

Publications

2024

5.
Conrad, J.; Wilhelmstätter, S.; Asthana, R.; Belagiannis, V.; Ortmanns, M.
Differentiable Cost Model for Neural-Network Accelerator Regarding Memory Hierarchy
IEEE Transactions on Circuits and Systems I: Regular Papers ( Early Access )
October 2024
DOI:10.1109/TCSI.2024.3476534
4.
Conrad, J.; Kauffman, J. G.; Wilhelmstätter, S.; Asthana, R.; Belagiannis, V.; Ortmanns, M.
Confidence Estimation and Boosting for Dynamic-Comparator Transient-Noise Analysis
22nd IEEE Interregional NEWCAS Conference (NEWCAS)
September 2024
DOI:10.1109/NewCAS58973.2024.10666354
3.
Wilhelmstätter, S.; Conrad, J.; Upadhyaya, D.; Polian, I.; Ortmanns, M.
Enabling Power Side-Channel Attack Simulation on Mixed-Signal Neural Network Accelerators
IEEE International Conference on Omni-Layer Intelligent Systems (COINS), London, UK
July 2024
2.
Conrad, J.; Wilhelmstätter, S.; Asthana, R.; Belagiannis, V.; Ortmanns, M.
Too-Hot-to-Handle: Insights into Temperature and Noise Hyperparameters for Differentiable Neural-Architecture-Searches
6th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Abu-Dhabi, UAE
April 2024
DOI:10.1109/AICAS59952.2024.10595971
1.
Wilhelmstätter, S.; Conrad, J.; Upadhyaya, D.; Polian, I.; Ortmanns, M.
Attacking a Joint Protection Scheme for Deep Neural Network Hardware Accelerators and Models
6th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Abu Dhabi, UAE
April 2024
DOI:10.1109/AICAS59952.2024.10595935

Research Assistent

Simon Wilhelmstätter