All publications can be found here. A list of recent publications is found below.
Recent publications
2025
Optimizing Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local Penalties (2025)In E-Energy '25: Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems (pp. 305-316). Association for Computing Machinery (ACM). Winschermann, L., Günzel, M., Chen, K.-H. & Hurink, J.https://doi.org/10.1145/3679240.3734593Artifact of the paper: Wedge-Parallel Triangle Counting for GPUs (2025)[Dataset Types › Dataset]. Zenodo. Spaan, J., Chen, K.-H., Bader, D. & Varbanescu, A.-L.https://doi.org/10.5281/zenodo.15611507Shielded reinforcement learning for fault-tolerant scheduling in real-time systems (2025)Real-time systems (E-pub ahead of print/First online). Shi, J. & Chen, K.-H.https://doi.org/10.1007/s11241-025-09441-zInTreeger: An End-to-End Framework for Integer-Only Decision Tree Inference (2025)[Working paper › Preprint]. ArXiv.org. Bart, D., Forlin, B. E., Varbanescu, A.-L., Ottavi, M. & Chen, K.-H.REAP-NVM: Resilient Endurance-Aware NVM-Based PUF Against Learning-Based Attacks (2025)In 2025 Design, Automation & Test in Europe Conference (DATE). Article 10992747. IEEE. Nassar, H., Wei, M.-L., Yang, C.-L., Henkel, J. & Chen, K.-H.https://doi.org/10.23919/DATE64628.2025.10992747TrackScorer: Skyrmion Logic-in-Memory Accelerator for Tree-Based Ranking Models (2025)In 2025 Design, Automation & Test in Europe Conference (DATE). Article 10992934. IEEE. Cishugi, E. S., Buschjäger, S., Noorlander, M., Ottavi, M. & Chen, K.-H.https://doi.org/10.23919/DATE64628.2025.10992934Embedded test instruments for ageing-aware multi-processor system-on-chips (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Ali, G.https://doi.org/10.3990/1.9789036566193Applications of neural networks for FMCW automotive radars: Techniques for improving detection and DoA estimation (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Lima de Oliveira, M. L.https://doi.org/10.3990/1.9789036566018Accelerating Selective Sweep Detection using AMD Deep Learning Processing Units and Vitis AI (2025)In 45th Symposium on Information Theory and Signal Processing (SITB 2025) (pp. 8-11) (Accepted/In press). Bunda, S., Alachiotis, N. & Spreeuwers, L.High-Level Synthesis using SDF-AP, Template Haskell, QuasiQuotes, and GADTs to Generate Circuits from Hierarchical Input Specification (2025)[Working paper › Preprint]. ArXiv.org. Folmer, H.https://doi.org/10.48550/arXiv.2504.07595Co-Designing NVM-based Systems for Machine Learning and In-memory Search Applications (2025)In Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2024. Article 125 (IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD). IEEE. Henkel, J., Siddhu, L., Nassar, H., Bauer, L., Chen, J. J., Hakert, C., Seidl, T., Chen, K. H., Hu, X. S., Li, M., Yang, C. L. & Wei, M. L.https://doi.org/10.1145/3676536.3697114Chronos: Compensating Hardware Related Overheads with Native Multi Timer Support for Real-Time Operating Systems (2025)[Working paper › Preprint]. ArXiv.org. Heider, K., Hakert, C., Chen, K.-H. & Chen, J.-J.https://doi.org/10.48550/arXiv.2503.01444FPGA Innovation Research in the Netherlands: Present Landscape and Future Outlook (2025)[Working paper › Preprint]. ArXiv.org. Alachiotis, N., van den Belt, S., van der Vlugt, S., van der Walle, R., Safari, M., Forlin, B. E., Matteis, T. D., Al-Ars, Z., Jordans, R., de Almeida, A. J. S., Corradi, F., Baaij, C. & Varbanescu, A.-L.https://doi.org/10.48550/arXiv.2502.02404Investigating Approximate Computing to design an energy-efficient deep learning architecture for anomaly detection from ECG signals (2025)[Contribution to conference › Abstract] 10th Dutch Biomedical Engineering Conference, BME 2025. Capitani, D., Gillani, G. & John, A.WCDT: Systematic WCET Optimization for Decision Tree Implementations (2025)[Working paper › Preprint]. ArXiv.org. Hölscher, N., Hakert, C., von der Brüggen, G., Chen, J.-J., Chen, K.-H. & Reineke, J.https://doi.org/10.48550/arXiv.2501.17428Evaluating the Impact of Racetrack Memory Misalignment Faults on BNNs Performance (2025)In Embedded Computer Systems: Architectures, Modeling, and Simulation (pp. 230-245) (Lecture Notes in Computer Science; Vol. 15226). Springer. Bereholschi, L. D., Yayla, M., Chen, J.-J., Chen, K.-H. & Khan, A. A.https://doi.org/10.1007/978-3-031-78377-7_16Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems - Part 2 (2025)ACM Transactions on Cyber-Physical Systems, 9(1). Article 7. Chen, K.-H., Li, J., Reghenzani, F. & Chen, J.-J.https://doi.org/10.1145/3712019Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators (2025)[Working paper › Preprint]. ArXiv.org. Meijer, R., Detterer, P., Yousefzadeh, A., Patino-Saucedo, A., Tang, G., Vadivel, K., Xu, Y., Gomony, M.-D., Corradi, F., Linares-Barranco, B. & Sifalakis, M.https://doi.org/10.48550/arXiv.2501.13610Fast and accurate deep learning scans for signatures of natural selection in genomes using FASTER-NN (2025)Communications Biology, 8(1). Article 58 (E-pub ahead of print/First online). van den Belt, S. & Alachiotis, N.https://doi.org/10.1038/s42003-025-07480-7Resilient Endurance-Aware NVM-based PUF against Learning-based Attacks (2025)[Working paper › Preprint]. ArXiv.org. Nassar, H., Wei, M.-L., Yang, C.-L., Henkel, J. & Chen, K.-H.https://doi.org/10.48550/arXiv.2501.06367