LETSCOPE: Lifecycle Extensions Through Software-Defined Predictive Control of Power Electronics. - Anqi Chu; Chris Manuel Hermann; Johannes Silz; Johannes Pfau; Kevin Muñoz Barón; Nidhi Anantharajaiah; Patrick Schmidt 003; Tim Hotfilter; Xiang Xie; Jürgen Becker 001; Ingmar Kallfass; Jörg Roth-Stielow; et al. (EUROCON, 2023)

An Analytical Model of Configurable Systolic Arrays to find the Best-Fitting Accelerator for a given DNN Workload. - Tim Hotfilter; Patrick Schmidt 003; Julian Höfer; Fabian Kreß; Tanja Harbaum; Jürgen Becker 001 (DroneSE/RAPIDO@HiPEAC, 2023)

EFFECT: An End-to-End Framework for Evaluating Strategies for Parallel AI Anomaly Detection. - Matthias Stammler; Julian Höfer; David Kraus; Patrick Schmidt 003; Tim Hotfilter; Tanja Harbaum; Jürgen Becker 001 (INNS DLIA@IJCNN, 2023)

Context-Aware Layer Scheduling for Seamless Neural Network Inference in Cloud-Edge Systems. - Matthias Stammler; Vladimir Sidorenko; Fabian Kreß; Patrick Schmidt 003; Jürgen Becker 001 (MCSoC, 2023)

Automated Replacement of State-Holding Flip-Flops to Enable Non-Volatile Checkpointing. - Fabian Kreß; Johannes Pfau; Fabian Kempf; Patrick Schmidt 003; Zhuofan He; Tanja Harbaum; Jürgen Becker 001 (NorCAS, 2023)

CNNParted: An open source framework for efficient Convolutional Neural Network inference partitioning in embedded systems. - Fabian Kreß; Vladimir Sidorenko; Patrick Schmidt 003; Julian Höfer; Tim Hotfilter; Iris Walter; Tanja Harbaum; Jürgen Becker 001 (Comput. Networks, 2023)

EMDRIVE Architecture: Embedded Distributed Computing and Diagnostics from Sensor to Edge. - Patrick Schmidt 003; Iuliia Topko; Matthias Stammler; Tanja Harbaum; Jürgen Becker 001; Rico Berner; Omar Ahmed; Jakub Jagielski; Thomas Seidler; Markus Abel; Marius Kreutzer; Maximilian Kirschner; et al. (DATE, 2024)

Ph.D. Project: Compiler-Driven Hardware/Software Co- Design for Embedded AI. - Patrick Schmidt 003; Jürgen Becker 001 (FCCM, 2024)

ICE TEA: Insertion of Custom Early Exits for Time-, Energy- & Anomaly-Aware Neural Networks. - Matthias Stammler; Julian Höfer; Patrick Schmidt 003; Tanja Harbaum; Jürgen Becker 001 (ISVLSI, 2024)

ZuSE-KI-Mobil AI Chip Design Platform: An Overview. - Shaown Mojumder; Simon Friedrich; Emil Matús; Gerhard P. Fettweis; Matthias Lüders; Martin Friedrich; Oliver Renke; Holger Blume; Julian Höfer; Patrick Schmidt 003; Jürgen Becker 001; Darius Grantz; et al. (NorCAS, 2024)

A Dynamically Pipelined Dataflow Architecture for Graph Convolutions in Real-Time Event Interpretation. - Marc Neu; Christian Maximilian Karle; Patrick Schmidt 003; Julian Höfer; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2024)

RVVe: A Minimal RISC-V Vector Processor for Embedded AI Acceleration. - Patrick Schmidt 003; Johannes Pfau; Tim Hotfilter; Matthias Stammler; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2024)

A Pixel Histogram-Based Safety Mechanism and Fault Detection Methodology for a Robust Image Signal Processor. - Julian Höfer; Patrick Schmidt 003; Hella Toto-Kiesa; Sebastian Höfer; Gregor Schewior; Dietmar Engelke; Karl-Heinz Eickel; Darius Grantz; Tanja Harbaum; Jürgen Becker 001 (ACM Great Lakes Symposium on VLSI, 2025)

Deep Neural Network Inference Partitioning in Embedded Hybrid Analog-Digital Systems. - Fabian Kreß; Julian Höfer; Qiushi Lin; Patrick Schmidt 003; Zhenhua Zhu; Yu Zhu; Tanja Harbaum; Yu Wang; Jürgen Becker 001 (ISQED, 2025)