LImbiC: An adaptable architecture description language model for developing an application-specific image processor. - Carsten Tradowsky; Tanja Harbaum; Shaver Deyerle; Jürgen Becker 001 (ISVLSI, 2013)

A Content Adapted FPGA Memory Architecture with Pattern Recognition Capability for L1 Track Triggering in the LHC Environment. - Tanja Harbaum; Mahmoud Seboui; Matthias Norbert Balzer; Jürgen Becker 001; Marc Weber (FCCM, 2016)

Auto-SI: An adaptive reconfigurable processor with run-time loop detection and acceleration. - Tanja Harbaum; Christoph Schade; Marvin Damschen; Carsten Tradowsky; Lars Bauer; Jörg Henkel; Jürgen Becker 001 (SoCC, 2017)

A Content - Adapted FPGA Memory Architecture with Pattern Recognition Capability and Interval Compressing Technique. - Tanja Harbaum; Matthias Norbert Balzer; Marc Weber; Jürgen Becker 001 (SoCC, 2018)

A Hardware Perspective on the ChaCha Ciphers: Scalable Chacha8/12/20 Implementations Ranging from 476 Slices to Bitrates of 175 Gbit/s. - Johannes Pfau; Maximilian Reuter; Tanja Harbaum; Klaus Hofmann; Jürgen Becker 001 (SoCC, 2019)

Hardware-aware Partitioning of Convolutional Neural Network Inference for Embedded AI Applications. - Fabian Kreß; Julian Höfer; Tim Hotfilter; Iris Walter; Vladimir Sidorenko; Tanja Harbaum; Jürgen Becker 001 (DCOSS, 2022)

Hardware-aware Workload Distribution for AI-based Online Handwriting Recognition in a Sensor Pen. - Fabian Kreß; Alexey Serdyuk; Tim Hotfilter; Julian Höfer; Tanja Harbaum; Jürgen Becker 001; Tim Hamann (MECO, 2022)

Automated Search for Deep Neural Network Inference Partitioning on Embedded FPGA. - Fabian Kreß; Julian Höfer; Tim Hotfilter; Iris Walter; El Mahdi El Annabi; Tanja Harbaum; Jürgen Becker 001 (PKDD/ECML Workshops (1), 2022)

Runtime Adaptive Cache Checkpointing for RISC Multi-Core Processors. - Fabian Kempf; Julian Höfer; Fabian Kreß; Tim Hotfilter; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2022)

A Hardware-Centric Approach to Increase and Prune Regular Activation Sparsity in CNNs. - Tim Hotfilter; Julian Höfer; Fabian Kreß; Fabian Kempf; Leonhard Kraft; Tanja Harbaum; Jürgen Becker 001 (AICAS, 2023)

The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective. - Fabian Kempf; Julian Höfer; Tanja Harbaum; Jürgen Becker 001; Nael Fasfous; Alexander Frickenstein; Hans-Jörg Vögel; Simon Friedrich; Robert Wittig; Emil Matús; Gerhard P. Fettweis; Matthias Lüders; et al. (DATE, 2023)

ATLAS: An Approximate Time-Series LSTM Accelerator for Low-Power IoT Applications. - Fabian Kreß; Alexey Serdyuk; Micha Hiegle; Disnebio Waldmann; Tim Hotfilter; Julian Höfer; Tim Hamann; Jens Barth; Peter Kämpf; Tanja Harbaum; Jürgen Becker 001 (DSD, 2023)

Mitigating Masking in Automotive Communication Systems: Modeling and Hardware Generation. - Matthias Stammler; Matthias Hamann; Tanja Harbaum; Jürgen Becker 001 (DSD, 2023)

SiFI-AI: A Fast and Flexible RTL Fault Simulation Framework Tailored for AI Models and Accelerators. - Julian Höfer; Fabian Kempf; Tim Hotfilter; Fabian Kreß; Tanja Harbaum; Jürgen Becker 001 (ACM Great Lakes Symposium on VLSI, 2023)

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

Non-Intrusive Runtime Monitoring for Manycore Prototypes. - Fabian Lesniak; Nidhi Anantharajaiah; Tanja Harbaum; Jürgen Becker 001 (DroneSE/RAPIDO@HiPEAC, 2023)

A Hardware-Aware Sampling Parameter Search for Efficient Probabilistic Object Detection. - Julian Höfer; Tim Hotfilter; Fabian Kreß; Chen Qiu; Tanja Harbaum; Jürgen Becker 001 (ICVS, 2023)

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

Design Space Exploration on Efficient and Accurate Human Pose Estimation from Sparse IMU-Sensing. - Iris Fürst-Walter; Antonio Nappi; Tanja Harbaum; Jürgen Becker 001 (IROS, 2023)

DREAM: Distributed Reinforcement Learning Enabled Adaptive Mixed-Critical NoC. - Nidhi Anantharajaiah; Yunhe Xu; Fabian Lesniak; Tanja Harbaum; Jürgen Becker 001 (ISVLSI, 2023)

Reinforcement Learning Enabled Multi-Layered NoC for Mixed Criticality Systems. - Nidhi Anantharajaiah; Fabian Lesniak; Tanja Harbaum; Jürgen Becker 001 (MCSoC, 2023)

Low-latency inter-domain communication on the Xen hypervisor. - Fabian Lesniak; Tanja Harbaum; 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; Zhuofan He; Tanja Harbaum; Jürgen Becker 001 (NorCAS, 2023)

Leveraging Mixed-Precision CNN Inference for Increased Robustness and Energy Efficiency. - Tim Hotfilter; Julian Höfer; Philipp Merz; Fabian Kreß; Fabian Kempf; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2023)

Approximate Accelerators: A Case Study using Runtime Reconfigurable Processors. - Fabian Lesniak; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2023)

Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen. - Alexey Serdyuk; Fabian Kreß; Micha Hiegle; Tanja Harbaum; Jürgen Becker 001; Florent Imbert; Yann Soullard; Romain Tavenard; Éric Anquetil; Jens Barth; Peter Kämpf (WF-IoT, 2023)

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

KIHT: Kaligo-Based Intelligent Handwriting Teacher. - Tanja Harbaum; Alexey Serdyuk; Fabian Kreß; Tim Hamann; Jens Barth; Peter Kämpf; Florent Imbert; Yann Soullard; Romain Tavenard; Éric Anquetil; Jessica Delahaie (DATE, 2024)

EMDRIVE Architecture: Embedded Distributed Computing and Diagnostics from Sensor to Edge. - Patrick Schmidt; 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)

BayWatch: Leveraging Bayesian Neural Networks for Hardware Fault Tolerance and Monitoring. - Julian Höfer; Matthias Stammler; Fabian Kreß; Tim Hotfilter; Tanja Harbaum; Jürgen Becker 001 (DFT, 2024)

VHDL Crash Course: A Multimedia-Based Teaching Approach. - Fabian Kreß; Vladimir Sidorenko; Iuliia Topko; Kai Lukas Unger; Tanja Harbaum; Jürgen Becker 001 (GeCon, 2024)

Enhanced Accelerator Design for Efficient CNN Processing with Improved Row-Stationary Dataflow. - Fabian Lesniak; Annina Gutermann; Tanja Harbaum; Jürgen Becker 001 (ACM Great Lakes Symposium on VLSI, 2024)

A Challenge-Based Blended Learning Approach for an Introductory Digital Circuits and Systems Course. - Julian Höfer; Michael Gauß; Manuela Adams; Fabian Kreß; Fabian Kempf; Christian Maximilian Karle; Tanja Harbaum; Andreas Barth 001; Jürgen Becker 001 (ISCAS, 2024)

Automated Deep Neural Network Inference Partitioning for Distributed Embedded Systems. - Fabian Kreß; El Mahdi El Annabi; Tim Hotfilter; Julian Höfer; Tanja Harbaum; Jürgen Becker 001 (ISVLSI, 2024)

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

Towards a General Compilation Approach for On-device Training in Embedded Systems. - Iuliia Topko; Tanja Harbaum; Jürgen Becker 001 (NorCAS, 2024)

Improving Online Handwriting Trajectory Reconstruction Based on Temporal Convolutional Networks. - Alexey Serdyuk; Fabian Kreß; Iuliia Topko; Tanja Harbaum; Jürgen Becker 001; Tim Hamann; Peter Kämpf (SDF, 2024)

Modular Hardware Design for High-Performance MIMO-Capable SDR Systems to Accelerate 6G Development. - Christian Maximilian Karle; Marc Neu; Benjamin Nuss; Jiayi Chen; Lukas Witte; Andre Scheder; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2024)

Scalable Multi-Level Synchronization Technique of Distributed Multi-RFSoC-Server Systems for 6G. - Christian Maximilian Karle; Marc Neu; Benjamin Nuss; Lukas Witte; Andre Scheder; Eva Waldner; Ema Shkurtaj; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2024)

On Metric-Driven Development of Embedded Neuromorphic AI. - Jann Krausse; Moritz Neher; Iris Fürst-Walter; Carmen Weigelt; Tanja Harbaum; Klaus Knobloch; Jürgen Becker 001 (SOCC, 2024)

LOTTA: An FPGA-based Low-Power Temporal Convolutional Network Hardware Accelerator. - Fabian Kreß; Alexey Serdyuk; Denis Kobsar; Tim Hotfilter; Julian Höfer; Tanja Harbaum; Jürgen Becker 001 (SOCC, 2024)

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

RVVe: A Minimal RISC-V Vector Processor for Embedded AI Acceleration. - Patrick Schmidt; 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; 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; Zhenhua Zhu; Yu Zhu; Tanja Harbaum; Yu Wang; Jürgen Becker 001 (ISQED, 2025)

Hardware-Accelerated On-Device Learning: Training, Partitioning, and Compilation for Constrained Edge AI. - Iuliia Topko; Alexey Serdyuk; Tanja Harbaum; Jürgen Becker 001 (ISVLSI, 2025)