Ahmed, Qazi Arbab, Tobias Wiersema, and Marco Platzner. “Post-Configuration Activation of Hardware Trojans in FPGAs.”https://doi.org/10.1007/s41635-024-00147-5__Journal of Hardware and Systems Security, 2024.https://doi.org/10.1007/s41635-024-00147-5 .

Henke, Luca-Sebastian. Exploring Custom FPGA Accelerators for DNN-Based RF Fingerprinting, 2024.

Ahmed, Qazi Arbab, Muhammad Awais, and Marco Platzner. “MAAS: Hiding Trojans in Approximate Circuits.” In The 24th International Symposium on Quality Electronic Design (ISQED’23), San Francisco, Califorina USA, 2023.

Raeisi Nafchi, Masood. Reconfigurable Random Forest Implementation on FPGA. Paderborn University, 2023.

Yadalam Murali Kumar, Nihal. Data Analytics for Predictive Maintenance of Time Series Data. Paderborn University, 2023.

Hansmeier, Tim. XCS for Self-Awareness in Autonomous Computing Systems, 2023.

Lienen, Christian, Mathis Brede, Daniel Karger, Kevin Koch, Dalisha Logan, Janet Mazur, Alexander Philipp Nowosad, Alexander Schnelle, Mohness Waizy, and Marco Platzner. “AutonomROS: A ReconROS-Based Autonomous Driving Unit.”https://doi.org/10.1109/irc59093.2023.00056__In 2023 Seventh IEEE International Conference on Robotic Computing (IRC). IEEE, 2023.https://doi.org/10.1109/irc59093.2023.00056 .

Clausing, Lennart, Zakarya Guetattfi, Paul Kaufmann, Christian Lienen, and Marco Platzner. “On Guaranteeing Schedulability of Periodic Real-Time Hardware Tasks under ReconO.”https://doi.org/10.1007/978-3-031-42921-7_17__In Proceedings of the 19th International Symposium on Applied Reconfigurable Computing (ARC), 2023.https://doi.org/10.1007/978-3-031-42921-7_17 .

Lienen, Christian, Alexander Philipp Nowosad, and Marco Platzner. “Mapping and Optimizing Communication in ROS 2-Based Applications on Configurable System-on-Chip Platforms.”https://doi.org/10.1145/3637843.3637846__In Proceedings of the 2023 9th International Conference on Robotics and Artificial Intelligence (ICRAI), n.d.https://doi.org/10.1145/3637843.3637846 .

Lienen, Christian, Sorel Horst Middeke, and Marco Platzner. “FpgaDDS: An Intra-FPGA Data Distribution Service for ROS 2 Robotics Applications.”https://doi.org/10.1109/IROS55552.2023.10341921__In https://doi.org/10.1109/IROS55552.2023.10341921__Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.https://doi.org/10.1109/IROS55552.2023.10341921 .

Wehrheim, Heike, Marco Platzner, Eric Bodden, Philipphttps://doi.org/10.5281/zenodo.8068583__Schubert, Felix Pauck, and Marie-Christine Jakobs. “Verifying Software and Reconfigurable Hardware Services.”https://doi.org/10.5281/zenodo.8068583__In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:125–44. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.5281/zenodo.8068583 .

Haake, Claus-Jochen, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol. 412. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.17619/UNIPB/1-1797 .

Hansmeier, Tim, Tobias Kenter, Marius Meyer, Heinrich Riebler, Marco Platzner, and Christian Plessl. “Compute Centers I: Heterogeneous Execution Environments.”https://doi.org/10.5281/zenodo.8068642__In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:165–82. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.5281/zenodo.8068642 .

Boschmann, Alexander, Lennart Clausing, Felix Jentzsch, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “Flexible Industrial Analytics on Reconfigurable Systems-On-Chip.”https://doi.org/10.5281/zenodo.8068713__In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:225–36. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023.https://doi.org/10.5281/zenodo.8068713 .

Anantha Rao, Deepak Bhardwaj. Efficient Neural Network Inference for Velocity Estimation in Athletic Relay Races on a Microcontroller. Paderborn University, 2023.

Jentzsch, Felix. “Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML.”https://doi.org/10.1109/fpl60245.2023.00066__In 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL). IEEE, 2023.https://doi.org/10.1109/fpl60245.2023.00066 .

Mehlich, Florian. An Evaluation of XCS on the OpenAI Gym. Paderborn: Paderborn University, 2023.

Tadakamalla, Yashwanth . A Comparison of Algorithms for the Generation of Layouts Based on Reconfigurable Slots on FPGAs. Paderborn University, 2023.

Middeke, Sorel Horst. Design and Realization of Optimized Intra-FPGA ROS 2 Communication. Paderborn University, 2023.

Thiele, Simon. A Hardware/Software Co-Designed ORB-SLAM2 Algorithm for FPGA. Paderborn University, 2023.

Abooof, Alhussain. Implementation and Evaluation of a ReconROS-Based Obstacle Avoidance Architecture for Autonomous Robots. Paderborn University, 2023.

Rao, Aniruddh P. Multithreaded Software/Hardware Programming with ReconOS/Zephyr on a RISC-V-Based System-on-Chip. Paderborn University, 2023.

Simon-Mertens, Florian. Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation. Paderborn University, 2023.

Oviasogie, Marvin Osaretin. Demonstrator for Dataflow-Based DNN Acceleration for Vision Applications on Platform FPGAs. Paderborn University, 2023.

Reuter, Lucas David. Development of a Power Analysis Framework for Embedded FPGA Accelerators. Paderborn University, 2023.

Hamm, Robin. Verarbeitung von Sensordaten auf eingebetteten heterogenen FPGA-Systemen. Paderborn University, 2023.

Klassen, Alexander. Fast Partial Reconfiguration for ReconO on Xilinx MPSoC Devices. Paderborn University, 2023.

Tsague Dingo, Jorian. Ein Simulator Für Schedulability-Experimente Mit Periodischen Tasks Auf FPGAs. Paderborn University, 2023.

Brede, Mathis. Evaluation of Classifier Migration Between Multiple XCS Populations. Paderborn University, 2023.

Nowosad, Alexander. Design and Realization of an Intra-FPGA ROS 2 Communication Infrastructure for the ReconROS Executor. Paderborn University, 2023.

AlAidroos, Salem. Design and Implementation of a RadioML Demonstrator Based on an RFSoC Platform. Paderborn University, 2023.

Evers, Gerrit. Bewertung der Xilinx Runtime Library zur Hardware/Software-Kommunikation. Paderborn University, 2023.

Raeisi Nafchi, Masood. Reconfigurable Random Forest Implementation on FPGA. Paderborn University, 2023.

Witschen, Linus Matthias, Tobias Wiersema, Lucas David Reuter, and Marco Platzner. “Search Space Characterization for Approximate Logic Synthesis .” In 2022 59th ACM/IEEE Design Automation Conference (DAC), n.d.

Witschen, Linus Matthias, Tobias Wiersema, Matthias Artmann, and Marco Platzner. “MUSCAT: MUS-Based Circuit Approximation Technique.” In Design, Automation and Test in Europe (DATE), n.d.

Hansmeier, Tim, and Marco Platzner. “Integrating Safety Guarantees into the Learning Classifier System XCS.”https://doi.org/10.1007/978-3-031-02462-7_25__In Applications of Evolutionary Computation, EvoApplications 2022, Proceedings, 13224:386–401. Lecture Notes in Computer Science. Springer International Publishing, 2022.https://doi.org/10.1007/978-3-031-02462-7_25 .

Clausing, Lennart, and Marco Platzner. “ReconO: A Hardware Operating System for Modern Platform FPGAs with 64-Bit Support.”https://doi.org/10.1109/ipdpsw55747.2022.00029__In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 120–27. IEEE, 2022.https://doi.org/10.1109/ipdpsw55747.2022.00029 .

Hansmeier, Tim, Mathis Brede, and Marco Platzner. “XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion.”https://doi.org/10.1145/3520304.3533977__In GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2071–79. New York, NY, United States: Association for Computing Machinery (ACM), 2022.https://doi.org/10.1145/3520304.3533977 .

Ahmed, Qazi Arbab. Hardware Trojans in Reconfigurable Computing. Paderborn:https://doi.org/10.17619/UNIPB/1-1271__Paderborn University, Paderborn, Germany, 2022.https://doi.org/10.17619/UNIPB/1-1271 .

Lienen, Christian, and Marco Platzner. “ReconROS Executor: Event-Driven Programming of FPGA-Accelerated ROS 2 Applications,” 2022.

Lienen, Christian, and Marco Platzner. “Task Mapping for Hardware-Accelerated Robotics Applications Using ReconROS,” n.d.

Lienen, Christian, and Marco Platzner. “Event-Driven Programming of FPGA-Accelerated ROS 2 Robotics Applications.”https://doi.org/10.1109/DSD57027.2022.00088__In 2022 25th Euromicro Conference on Digital System Design (DSD), n.d.https://doi.org/10.1109/DSD57027.2022.00088 .

Witschen, Linus Matthias. Frameworks and Methodologies for Search-Based Approximate Logic Synthesis, 2022.https://doi.org/10.17619/UNIPB/1-1649 .

Ahmed, Qazi Arbab, and Marco Platzner. “On the Detection and Circumvention of Bitstream-Level Trojans in FPGAs.” Pafos, Cyprus: IEEE Computer Society Annual Symposium on VLSI (ISVLSI,2022), 2022.

Jentzsch, Felix, Yaman Umuroglu, Alessandro Pappalardo, Michaela Blott, and Marco Platzner. “RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures.”https://doi.org/10.1109/MM.2022.3202091__IEEE Micro 42, no. 6 (2022): 125–33.https://doi.org/10.1109/MM.2022.3202091 .

Tcheussi Ngayap, Vanessa Ingrid. FreeRTOS on a MicroBlaze Soft-Core Processor with Hardware Accelerators, 2022.

Manjunatha, Suraj. Dealing With Pre-Processing And Feature Extraction Of Time-Series Data In  Predictive Maintenance. Paderborn University , 2022.

Kaur , Parvinder. Analysis of Time-Series Classification in Conditional Monitoring Systems. Paderborn University , 2022.

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

Lienen, Christian, and Marco Platzner. “Design of Distributed Reconfigurable Robotics Systems with ReconROS.”https://doi.org/10.1145/3494571__ACM Transactions on Reconfigurable Technology and Systems, 2021, 1–20.https://doi.org/10.1145/3494571 .

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

Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “LDAX: A Learning-Based Fast Design Space Exploration Framework for Approximate Circuit Synthesis.”https://doi.org/10.1145/3453688.3461506__In Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, 27–32. ACM, 2021.https://doi.org/10.1145/3453688.3461506 .

Rehnen, Jakob Werner. Decomposition of Arithmetic Components for the Approximate Circuit Synthesis with EvoApproxLib, 2021.

Awais, Muhammad, and Marco Platzner. “MCTS-Based Synthesis Towards Efficient Approximate Accelerators.” In Proceedings of IEEE Computer Society Annual Symposium on VLSI, 384–89. IEEE, 2021.

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

Witschen, Linus Matthias, Tobias Wiersema, Masood Raeisi Nafchi, Arne Bockhorn, and Marco Platzner. “Timing Optimization for Virtual FPGA Configurations.”https://doi.org/10.1007/978-3-030-79025-7_4__In Proceedings of International Symposium on Applied Reconfigurable Computing (ARC’21), edited by Frank Hannig, Steven Derrien, Pedro Diniz, and Daniel Chillet. Reconfigurable Computing: Architectures, Tools, and Applications. Springer Lecture Notes in Computer Science, n.d.https://doi.org/10.1007/978-3-030-79025-7_4 .

Boschmann, Alexander, Dorothee Neuhaus, Sarah Vogt, Christian Kaltschmidt, Marco Platzner, and Strahinja Dosen. “Immersive Augmented Reality System for the Training of Pattern Classification Control with a Myoelectric Prosthesis.”https://doi.org/10.1186/s12984-021-00822-6__Journal of NeuroEngineering and Rehabilitation 18, no. 1 (2021).https://doi.org/10.1186/s12984-021-00822-6 .

Rodriguez, Alfonso, Andres Otero, Marco Platzner, and Eduardo De la Torre. “Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable FPGAs.”https://doi.org/10.1109/tc.2021.3107196__IEEE Transactions on Computers, 2021, 1–1.https://doi.org/10.1109/tc.2021.3107196 .

Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using the Learning Classifier System XCS.”https://doi.org/10.1145/3468044.3468055__In HEART ’21: Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. New York, NY, United States: Association for Computing Machinery (ACM), 2021.https://doi.org/10.1145/3468044.3468055 .

Sheikh, Muhammad Aamir. Design and Implementation of a ReconROS-Based Obstacle Avoidance System. Paderborn University, 2021.

Lienen, Christian, and Marco Platzner. “Design of Distributed Reconfigurable Robotics Systems with ReconROS.” ArXiv:2107.07208, 2021.

Hansmeier, Tim, and Marco Platzner. “An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS.”https://doi.org/10.1145/3449726.3463159__In GECCO ’21: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1639–1647. New York, NY, United States: Association for Computing Machinery (ACM), 2021.https://doi.org/10.1145/3449726.3463159 .

Jakobs, Marie-Christine, Felix Pauck, Marco Platzner, Heike Wehrheim, and Tobias Wiersema. “Software/Hardware Co-Verification for Custom Instruction Set Processors.”https://doi.org/10.1109/ACCESS.2021.3131213__IEEE Access, 2021.https://doi.org/10.1109/ACCESS.2021.3131213 .

Ahmed, Qazi Arbab. “Hardware Trojans in Reconfigurable Computing.”https://doi.org/10.1109/vlsi-soc53125.2021.9606974__In 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC), 2021.https://doi.org/10.1109/vlsi-soc53125.2021.9606974 .

Ahmed, Qazi Arbab, Tobias Wiersema, and Marco Platzner. “Malicious Routing: Circumventing Bitstream-Level Verification for FPGAs.”https://doi.org/10.23919/DATE51398.2021.9474026__In 2021 Design, Automation &; Test in Europe Conference &; Exhibition (DATE). Alpexpo | Grenoble, France: 2021 Design, Automation and Test in Europe Conference (DATE), 2021.https://doi.org/10.23919/DATE51398.2021.9474026 .

Clausing, Lennart. “ReconO: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip.”https://doi.org/10.1145/3468044.3468056__In Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. ACM, 2021.https://doi.org/10.1145/3468044.3468056 .

Ghasemzadeh Mohammadi, Hassan, Felix Jentzsch, Maurice Kuschel, Rahilhttps://doi.org/10.1007/978-3-030-93736-2_27__Arshad, Sneha Rautmare, Suraj Manjunatha, Marco Platzner, Alexander Boschmann, and Dirkhttps://doi.org/10.1007/978-3-030-93736-2_27__Schollbach. “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.”https://doi.org/10.1007/978-3-030-93736-2_27__In https://doi.org/10.1007/978-3-030-93736-2_27__Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Springer, 2021.https://doi.org/10.1007/978-3-030-93736-2_27 .

Guetttatfi, Zakarya, Paul Kaufmann, and Marco Platzner. “Optimal and Greedy Heuristic Approaches for Scheduling and Mapping of Hardware Tasks to Reconfigurable Computing Devices.” In Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC), 2020.

Chandrakar, Khushboo. Comparison of Feature Selection Techniques to Improve Approximate Circuit Synthesis, 2020.

Henke, Luca-Sebastian. Evaluation of a ReconOS-ROS Combination Based on a Video Processing Application, 2020.

Gatica, Carlos Paiz, and Marco Platzner. “Adaptable Realization of Industrial Analytics Functions on Edge-Devices Using Reconfigurable Architectures.”https://doi.org/10.1007/978-3-662-59084-3_9__In Machine Learning for Cyber Physical Systems (ML4CPS 2017). Berlin, Heidelberg, 2020.https://doi.org/10.1007/978-3-662-59084-3_9 .

Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Proof-Carrying Approximate Circuits.”https://doi.org/10.1109/TVLSI.2020.3008061__IEEE Transactions On Very Large Scale Integration Systems 28, no. 9 (2020): 2084–88.https://doi.org/10.1109/TVLSI.2020.3008061 .

Ho, Nam, Paul Kaufmann, and Marco Platzner. “Evolution of Application-Specific Cache Mappings.” International Journal of Hybrid Intelligent Systems, 2020.

Witschen, Linus Matthias, Tobias Wiersema, and Marco Platzner. “Search Space Characterization for AxC Synthesis.” Fifth Workshop on Approximate Computing (AxC 2020), n.d.

Lienen, Christian, Marco Platzner, and Bernhard Rinner. “ReconROS: Flexible Hardware Acceleration for RO Applications.” In Proceedings of the 2020 International Conference on Field-Programmable Technology (FPT), 2020.

Thiele, Simon. Implementing Machine Learning Functions as PYNQ FPGA Overlays, 2020.

Jaganath, Vivek. Extension and Evaluation of Python-Based High-Level Synthesis Tool Flows, 2020.

Hansmeier, Tim, Paul Kaufmann, and Marco Platzner. “An Adaption Mechanism for the Error Threshold of XCSF.”https://doi.org/10.1145/3377929.3398106__In GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1756–64. New York, NY, United States: Association for Computing Machinery (ACM), 2020.https://doi.org/10.1145/3377929.3398106 .

Anwer, Jahanzeb, Sebastian Meisner, and Marco Platzner. “Dynamic Reliability Management for FPGA-Based Systems.”https://doi.org/10.1155/2020/2808710__International Journal of Reconfigurable Computing, 2020, 1–19.https://doi.org/10.1155/2020/2808710 .

Bellman, K., N. Dutt, L. Esterle, A. Herkersdorf, A. Jantsch, C. Landauer, P. R. Lewis, Marco Platzner, N. TaheriNejad, and K. Tammemäe. “Self-Aware Cyber-Physical Systems.” ACM Transactions on Cyber-Physical Systems Accepted for Publication (2020): 1–24.

Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “A Hybrid Synthesis Methodology for Approximate Circuits.”https://doi.org/10.1145/3386263.3406952__In Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, 421–26. ACM, 2020.https://doi.org/10.1145/3386263.3406952 .

Hansmeier, Tim, Paul Kaufmann, and Marco Platzner. “Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold.”https://doi.org/10.1145/3377929.3389968__In GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, 125–26. New York, NY, United States: Association for Computing Machinery (ACM), 2020.https://doi.org/10.1145/3377929.3389968 .

Lösch, Achim, and Marco Platzner. “MigHEFT: DAG-Based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes.”https://doi.org/10.1109/ipdpsw50202.2020.00012__In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020.https://doi.org/10.1109/ipdpsw50202.2020.00012 .

Jentzsch, Felix P. Design and Implementation of a ReconOS-Based TensorFlow Lite Delegate Architecture, 2020.

Lösch, Achim, and Marco Platzner. “MigHEFT: DAG-Based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes.”https://doi.org/10.1109/IPDPSW50202.2020.00012__In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 6–16, 2020.https://doi.org/10.1109/IPDPSW50202.2020.00012 .

Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi, Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.”https://doi.org/10.1016/j.microrel.2019.04.003__Microelectronics Reliability 99 (2019): 277–90.https://doi.org/10.1016/j.microrel.2019.04.003 .

Witschen, Linus Matthias, Hassan Ghasemzadeh Mohammadi, Matthias Artmann, and Marco Platzner. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.” Fourth Workshop on Approximate Computing (AxC 2019), n.d.

Witschen, Linus Matthias, Hassan Ghasemzadeh Mohammadi, Matthias Artmann, and Marco Platzner. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.”https://doi.org/10.1145/3299874.3317998__In Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19. New York, NY, USA: ACM, 2019.https://doi.org/10.1145/3299874.3317998 .

Boschmann, Alexander, Andreas Agne, Georg Thombansen, Linus Matthias Witschen, Florian Kraus, and Marco Platzner. “Zynq-Based Acceleration of Robust High Density Myoelectric Signal Processing.”https://doi.org/10.1016/j.jpdc.2018.07.004__Journal of Parallel and Distributed Computing 123 (2019): 77–89.https://doi.org/10.1016/j.jpdc.2018.07.004 .

Hansmeier, Tim, Marco Platzner, Md Jubaer Hossain Pantho, and David Andrews. “An Accelerator for Resolution Proof Checking Based on FPGA and Hybrid Memory Cube Technology.”https://doi.org/10.1007/s11265-018-1435-y__Journal of Signal Processing Systems 91, no. 11 (2019): 1259–72.https://doi.org/10.1007/s11265-018-1435-y .

Ho, Nam, Paul Kaufmann, and Marco Platzner. “Optimization of Application-Specific L1 Cache Translation Functions of the LEON3 Processor.” In World Congress on Nature and Biologically Inspired Computing (NaBIC). Advances in Nature and Biologically Inspired Computing. Springer, 2019.

Kumar Jeyakumar, Shankar. Incremental Learning with Support Vector Machine on Embedded Platforms, 2019.

Keerthipati, Monica. A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking. Universität Paderborn, 2019.

Sabu, Nithin S. FPGA Acceleration of String Search Techniques in Huge Data Sets. Paderborn University, 2019.

Mehta, Jinay. Multithreaded Software/Hardware Programming with ReconOS/FreeRTOS on a Reconfc03gurable System-on-Chip, 2019.

Hansmeier, Tim. Autonomous Operation of High-Performance Compute Nodes through Self-Awareness and Learning Classifiers. Universität Paderborn, 2019.

Guettatfi, Zakarya, Marco Platzner, Omar Kermia, and Abdelhakim Khouas. “An Approach for Mapping Periodic Real-Time Tasks to Reconfigurable Hardware.”https://doi.org/10.1109/ipdpsw.2019.00027__In 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2019.https://doi.org/10.1109/ipdpsw.2019.00027 .

Ahmed, Qazi Arbab, Tobias Wiersema, and Marco Platzner. “Proof-Carrying Hardware Versus the Stealthy Malicious LUT Hardware Trojan.”https://doi.org/10.1007/978-3-030-17227-5_10__In Applied Reconfigurable Computing, edited by Christian Hochberger, Brent Nelson, Andreas Koch, Roger Woods, and Pedro Diniz, 11444:127–36. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019.https://doi.org/10.1007/978-3-030-17227-5_10 .

Lienen, Christian. Implementing a Real-Time System on a Platform FPGA Operated with ReconOS. Universität Paderborn, n.d.

Platzner, Marco, and Christian Plessl. “FPGAs im Rechenzentrum.”https://doi.org/10.1007/s00287-019-01187-w__Informatik Spektrum, 2019.https://doi.org/10.1007/s00287-019-01187-w .