Kontakt
Raum: 43.2.410
Tel. +49 (0)731 - 50 26218
simon.wilhelmstaetter(at)uni-ulm.de
M.Sc. Simon Wilhelmstätter
Ich habe Elektrotechnik an der Universität Ulm studiert, wo ich 2020 meinen B.Sc. Abschluss mit Nebenfach Informatik und 2023 meinen M.Sc. Abschluss gemacht habe. Ab April 2022 absolvierte ich ein 7-monatiges Praktikum am Robert Bosch Forschungs - und Technologiezentrum in Sunnyvale, CA. Der Titel meiner Masterarbeit lautete "Design and Implementation of the Dataflow for a Versatile Neural-Network Inference-System".
Im September 2023 begann ich mit der Arbeit an meinem Ph.D. Abschluss am Institut für Mikroelektronik der Universität Ulm unter der Leitung von Prof. Dr.-Ing. Maurits Ortmanns.
Studentische Arbeiten
[mt] = Masterarbeit, [rp] = Bachelorarbeit
Past theses
- Julian Frimmel
A Digital Interface for an Analog IMC Core [mt] - Daniel Zell
Stochastic Methods for Side-Channel Attacks on FPGA-based Neural Network Accelerators [mt] - 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]
Publikationen
2025
7.
J. Conrad,
S. Wilhelmstätter,
H. Mandry,
P. Kässer,
A. Abdelaal,
R. Asthana,
V. Belagiannis and
M. Ortmanns,
"PSumSim: A Simulator for Partial-Sum Quantization in Analog Matrix-Vector Multipliers",
IEEE International Symposium on Circuits and Systems (ISCAS), London, United Kingdom,
Mai
2025.
| DOI: | 10.1109/ISCAS56072.2025.11043442 |
6.
J. Conrad,
S. Wilhelmstätter,
H. Mandry,
P. Kässer,
A. Abdelaal,
R. Asthana,
V. Belagiannis and
M. Ortmanns,
"PSumSim: A Simulator for Partial-Sum Quantization in Analog Matrix-Vector Multipliers",
IEEE International Symposium on Circuits and Systems (ISCAS), London, United Kingdom, pp. 1-5,
Mai
2025.
| DOI: | 10.1109/ISCAS56072.2025.11043442 |
2024
5.
J. Conrad,
S. Wilhelmstätter,
R. Asthana,
V. Belagiannis and
M. Ortmanns,
"Differentiable Cost Model for Neural-Network Accelerator Regarding Memory Hierarchy",
IEEE Transactions on Circuits and Systems I: Regular Papers ( Early Access ),
Okt.
2024.
| DOI: | 10.1109/TCSI.2024.3476534 |
4.
J. Conrad,
J. G. Kauffman,
S. Wilhelmstätter,
R. Asthana,
V. Belagiannis and
M. Ortmanns,
"Confidence Estimation and Boosting for Dynamic-Comparator Transient-Noise Analysis",
22nd IEEE Interregional NEWCAS Conference (NEWCAS),
Sep.
2024.
| DOI: | 10.1109/NewCAS58973.2024.10666354 |
3.
S. Wilhelmstätter,
J. Conrad,
D. Upadhyaya,
I. Polian and
M. Ortmanns,
"Enabling Power Side-Channel Attack Simulation on Mixed-Signal Neural Network Accelerators",
IEEE International Conference on Omni-Layer Intelligent Systems (COINS), London, UK,
Jul.
2024.
2.
J. Conrad,
S. Wilhelmstätter,
R. Asthana,
V. Belagiannis and
M. Ortmanns,
"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,
Apr.
2024.
| DOI: | 10.1109/AICAS59952.2024.10595971 |
1.
S. Wilhelmstätter,
J. Conrad,
D. Upadhyaya,
I. Polian and
M. Ortmanns,
"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,
Apr.
2024.
| DOI: | 10.1109/AICAS59952.2024.10595935 |
Wissenschaftl. Mitarbeiter
