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

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

Lienen C, Brede M, Karger D, et al. AutonomROS: A ReconROS-based Autonomous Driving Unit. In: 2023 Seventh IEEE International Conference on Robotic Computing (IRC). IEEE; 2023. doi:10.1109/irc59093.2023.00056

Clausing L, Guetattfi Z, Kaufmann P, Lienen C, Platzner M. On Guaranteeing Schedulability of Periodic Real-time Hardware Tasks under ReconO. In: Proceedings of the 19th International Symposium on Applied Reconfigurable Computing (ARC). ; 2023. doi:https://doi.org/10.1007/978-3-031-42921-7_17

Lienen C, Nowosad AP, Platzner M. Mapping and Optimizing Communication in ROS 2-based Applications on Configurable System-on-Chip Platforms. In: Proceedings of the 2023 9th International Conference on Robotics and Artificial Intelligence (ICRAI). doi:https://doi.org/10.1145/3637843.3637846

Lienen C, Middeke SH, Platzner M. fpgaDDS: An Intra-FPGA Data Distribution Service for ROS 2 Robotics Applications. In: 10.1109/IROS55552.2023.10341921__Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). ; 2023. doi:10.1109/IROS55552.2023.10341921

Jentzsch F. Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML. In: 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL). IEEE; 2023. doi:10.1109/fpl60245.2023.00066

Witschen LM, Wiersema T, Reuter LD, Platzner M. Search Space Characterization for Approximate Logic Synthesis . In: 2022 59th ACM/IEEE Design Automation Conference (DAC).

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

Hansmeier T, Platzner M. Integrating Safety Guarantees into the Learning Classifier System XCS. In: Applications of Evolutionary Computation, EvoApplications 2022, Proceedings. Vol 13224. Lecture Notes in Computer Science. Springer International Publishing; 2022:386-401. doi:10.1007/978-3-031-02462-7_25

Clausing L, Platzner M. ReconO: A Hardware Operating System for Modern Platform FPGAs with 64-Bit Support. In: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE; 2022:120-127. doi:10.1109/ipdpsw55747.2022.00029

Hansmeier T, Brede M, Platzner M. XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion. In: GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM); 2022:2071-2079. doi:10.1145/3520304.3533977

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

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

Lienen C, Platzner M. Event-Driven Programming of FPGA-accelerated ROS 2 Robotics Applications. In: 2022 25th Euromicro Conference on Digital System Design (DSD). doi:10.1109/DSD57027.2022.00088

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

Awais M, Ghasemzadeh Mohammadi H, Platzner M. LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis. In: Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021. ACM; 2021:27-32. doi:https://doi.org/10.1145/3453688.3461506

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

Witschen LM, Wiersema T, Raeisi Nafchi M, Bockhorn A, Platzner M. Timing Optimization for Virtual FPGA Configurations. In: Hannig F, Derrien S, Diniz P, Chillet D, eds. Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21). Reconfigurable Computing: Architectures, Tools, and Applications. Springer Lecture Notes in Computer Science. doi:10.1007/978-3-030-79025-7_4

Hansmeier T. Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier System XCS. In: HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. Association for Computing Machinery (ACM); 2021. doi:10.1145/3468044.3468055