DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing
M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: To Apear in IEEE ISVLSI 2024, 2024.

MAAS: Hiding Trojans in Approximate Circuits
Q.A. Ahmed, M. Awais, M. Platzner, in: The 24th International Symposium on Quality Electronic Design (ISQED’23), San Francisco, Califorina USA, 2023.

AutonomROS: A ReconROS-based Autonomous Driving Unit
C. Lienen, M. Brede, D. Karger, K. Koch, D. Logan, J. Mazur, A.P. Nowosad, A. Schnelle, M. Waizy, M. Platzner, in: 2023 Seventh IEEE International Conference on Robotic Computing (IRC), IEEE, 2023.

On Guaranteeing Schedulability of Periodic Real-time Hardware Tasks under ReconO
L. Clausing, Z. Guetattfi, P. Kaufmann, C. Lienen, M. Platzner, in: Proceedings of the 19th International Symposium on Applied Reconfigurable Computing (ARC), 2023.

Mapping and Optimizing Communication in ROS 2-based Applications on Configurable System-on-Chip Platforms
C. Lienen, A.P. Nowosad, M. Platzner, in: Proceedings of the 2023 9th International Conference on Robotics and Artificial Intelligence (ICRAI), n.d.

fpgaDDS: An Intra-FPGA Data Distribution Service for ROS 2 Robotics Applications
C. Lienen, S.H. Middeke, M. Platzner, in:  Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.

Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML
F. Jentzsch, in: 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL), IEEE, 2023.

Search Space Characterization for Approximate Logic Synthesis 
L.M. Witschen, T. Wiersema, L.D. Reuter, M. Platzner, in: 2022 59th ACM/IEEE Design Automation Conference (DAC), n.d.

MUSCAT: MUS-based Circuit Approximation Technique
L.M. Witschen, T. Wiersema, M. Artmann, M. Platzner, in: Design, Automation and Test in Europe (DATE), n.d.

Integrating Safety Guarantees into the Learning Classifier System XCS
T. Hansmeier, M. Platzner, in: Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, Springer International Publishing, 2022, pp. 386–401.

ReconO: A Hardware Operating System for Modern Platform FPGAs with 64-Bit Support
L. Clausing, M. Platzner, in: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE, 2022, pp. 120–127.

XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion
T. Hansmeier, M. Brede, M. Platzner, in: GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), New York, NY, United States, 2022, pp. 2071–2079.

ReconROS Executor: Event-Driven Programming of FPGA-accelerated ROS 2 Applications
C. Lienen, M. Platzner, (2022).

Task Mapping for Hardware-Accelerated Robotics Applications using ReconROS
C. Lienen, M. Platzner, in: n.d.

Event-Driven Programming of FPGA-accelerated ROS 2 Robotics Applications
C. Lienen, M. Platzner, in: 2022 25th Euromicro Conference on Digital System Design (DSD), n.d.

On the Detection and Circumvention of Bitstream-Level Trojans in FPGAs
Q.A. Ahmed, M. Platzner, in: IEEE Computer Society Annual Symposium on VLSI (ISVLSI,2022), Pafos, Cyprus, 2022.

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.

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.

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.

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.