Guaranteeing Properties of Reconfigurable Hardware Circuits with Proof-Carrying Hardware
T. Wiersema, Guaranteeing Properties of Reconfigurable Hardware Circuits with Proof-Carrying Hardware, Paderborn University, Paderborn, 2021.

Design of Distributed Reconfigurable Robotics Systems with ReconROS
C. Lienen, M. Platzner, ACM Transactions on Reconfigurable Technology and Systems (2021) 1–20.

A Comparison of Machine Learning Techniques for the On-line Characterization of Tasks Executed on Heterogeneous Compute Nodes
C. Kashikar, A Comparison of Machine Learning Techniques for the On-Line Characterization of Tasks Executed on Heterogeneous Compute Nodes, Paderborn University, Paderborn, 2021.

LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis
M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, ACM, 2021, pp. 27–32.

Decomposition of Arithmetic Components for the Approximate Circuit Synthesis with EvoApproxLib
J.W. Rehnen, Decomposition of Arithmetic Components for the Approximate Circuit Synthesis with EvoApproxLib, 2021.

MCTS-Based Synthesis Towards Efficient Approximate Accelerators
M. Awais, M. Platzner, in: Proceedings of IEEE Computer Society Annual Symposium on VLSI, IEEE, 2021, pp. 384–389.

Implementation and Profiling of XCS in the Context of Embedded Systems
M. Brede, Implementation and Profiling of XCS in the Context of Embedded Systems, Paderborn University, Paderborn, 2021.

Timing Optimization for Virtual FPGA Configurations
L.M. Witschen, T. Wiersema, M. Raeisi Nafchi, A. Bockhorn, M. Platzner, in: F. Hannig, S. Derrien, P. Diniz, D. Chillet (Eds.), Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), Springer Lecture Notes in Computer Science, n.d.

Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis
A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, S. Dosen, Journal of NeuroEngineering and Rehabilitation 18 (2021).

Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs
A. Rodriguez, A. Otero, M. Platzner, E. De la Torre, IEEE Transactions on Computers (2021) 1–1.

Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS
T. Hansmeier, in: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, Association for Computing Machinery (ACM), New York, NY, United States, 2021.

Design and Implementation of a ReconROS-based Obstacle Avoidance System
M.A. Sheikh, Design and Implementation of a ReconROS-Based Obstacle Avoidance System, Paderborn University, 2021.

Design of Distributed Reconfigurable Robotics Systems with ReconROS
C. Lienen, M. Platzner, ArXiv:2107.07208 (2021).

An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS
T. Hansmeier, M. Platzner, in: GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2021, pp. 1639–1647.

Software/Hardware Co-Verification for Custom Instruction Set Processors
M.-C. Jakobs, F. Pauck, M. Platzner, H. Wehrheim, T. Wiersema, IEEE Access (2021).

Hardware Trojans in Reconfigurable Computing
Q.A. Ahmed, in: 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021.

Malicious Routing: Circumventing Bitstream-level Verification for FPGAs
Q.A. Ahmed, T. Wiersema, M. Platzner, in: 2021 Design, Automation &; Test in Europe Conference &; Exhibition (DATE), 2021 Design, Automation and Test in Europe Conference (DATE), Alpexpo | Grenoble, France, 2021.

ReconO: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip
L. Clausing, in: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, ACM, 2021.

FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics
H. Ghasemzadeh Mohammadi, F. Jentzsch, M. Kuschel, R. Arshad, S. Rautmare, S. Manjunatha, M. Platzner, A. Boschmann, D. Schollbach, in:  Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021.