@inproceedings{67501,
  author       = {{Spaan, Jeffrey and Chen, Kuan-Hsun and Varbanescu, Ana-Lucia}},
  booktitle    = {{Proceedings of the 23rd ACM International Conference on Computing Frontiers}},
  publisher    = {{ACM}},
  title        = {{{How Much Energy Is Wasted in LLM operations? Evidence from Kernel-Level DVFS}}},
  doi          = {{10.1145/3801487.3801822}},
  year         = {{2026}},
}

@inproceedings{67506,
  author       = {{Cishugi, Elijah Seth and Chen, Kuan-Hsun and Ottavi, Marco}},
  booktitle    = {{2026 IEEE European Test Symposium (ETS)}},
  publisher    = {{IEEE}},
  title        = {{{Efficient Hash-to-Index via Rejection Sampling for Online Fault Detection with Bloom/Cuckoo Filters}}},
  doi          = {{10.1109/ets69887.2026.11591729}},
  year         = {{2026}},
}

@inproceedings{66145,
  author       = {{Hölscher, Nils and Heider, Kay and von der Brüggen, Georg and Günzel, Mario and Chen, Kuan-Hsun and Chen, Jian-Jia}},
  booktitle    = {{2026 IEEE 32nd Real-Time and Embedded Technology and Applications Symposium (RTAS)}},
  publisher    = {{IEEE}},
  title        = {{{Releaser Design and Schedulability Analysis for Care-Taking Tasks in Real-Time Systems}}},
  doi          = {{10.1109/rtas68450.2026.00012}},
  year         = {{2026}},
}

@article{67533,
  author       = {{Cishugi, Elijah Seth and Smit, Tijmen T. and Forlin, Bruno and Cazzaniga, Carlo and Chen, Kuan-Hsun and Ottavi, Marco}},
  issn         = {{1558-2574}},
  journal      = {{IEEE Transactions on Device and Materials Reliability}},
  number       = {{3}},
  pages        = {{752--760}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Instruction Error Detection With Bloom Filters: Architecture, Radiation Testing, and Fault Injection}}},
  doi          = {{10.1109/tdmr.2026.3707731}},
  volume       = {{26}},
  year         = {{2026}},
}

@article{66150,
  abstract     = {{<jats:p>
            Releasing jobs and performing scheduling decisions in real-time operating systems (RTOSes) is often realized within tick interrupts. In each tick interrupt, a set of tasks that are waiting to release new jobs, namely, the waiting set, is inspected to determine the jobs that should be released at this tick. Such a waiting set is sorted whenever a job has finished, by which the release process can be efficiently achieved. However, the overhead of sorting can vary vastly depending on the task set, which has to be taken into account in the worst-case timing analysis. Moreover, the tick interrupt in common practices is backed by a single hardware timer that is configured to trigger interrupts, either with a fixed period or reconfigured to the next release time (so-called one-shot timer). Since not necessarily at every interrupt a job will be released, several tick interrupts might be redundant. For the one-shot timers, the reconfiguration during runtime also incurs overheads at a variable interval. To reduce such variability and amount of overhead, in this work, we propose
            <jats:italic toggle="yes">LazyTick</jats:italic>
            which partitions the task set and distributes the subsets over multiple timers. Specifically, we propose two job release procedures with constant operations overhead—one for harmonic task sets and one for non-harmonic task sets. We implemented the support for multiple hardware timers in FreeRTOS and conducted intensive experimental evaluations. The evaluation shows that
            <jats:italic toggle="yes">LazyTick</jats:italic>
            can reduce the variability in overhead by up to ≈ 5 × in peak and ≈ 3× on average in comparison to the default implementation. Additionally, the combined overhead of the job release process is reduced by up to ≈ 6.1 × in peak and ≈ 3.6× on average.
          </jats:p>}},
  author       = {{Heider, Kay and Hakert, Christian and Chen, Kuan-Hsun and Chen, Jian-Jia}},
  issn         = {{1539-9087}},
  journal      = {{ACM Transactions on Embedded Computing Systems}},
  number       = {{5s}},
  pages        = {{1--25}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{LazyTick: Lazy and Efficient Management of Job Release in Real-Time Operating Systems}}},
  doi          = {{10.1145/3762651}},
  volume       = {{24}},
  year         = {{2025}},
}

@article{66147,
  abstract     = {{<jats:title>Abstract</jats:title>
          <jats:p>Reinforcement Learning (RL) has emerged as a promising tool for decision-making in various applications, particularly in uncertain environments. While its adoption in embedded systems—especially hard real-time systems—faces challenges due to stringent timing constraints, integrating shielding mechanisms may offer a pathway for RL to optimize its scheduling decisions, preserving worst-case timing guarantees. This position paper shows a use case where RL selects compliant execution versions for fault-tolerant real-time systems while minimizing the system utilization in runtime. Furthermore, we discuss possible directions for further exploring RL’s role in real-time systems for improved adaptability.</jats:p>}},
  author       = {{Shi, Junjie and Chen, Kuan-Hsun}},
  issn         = {{0922-6443}},
  journal      = {{Real-Time Systems}},
  number       = {{2}},
  pages        = {{306--310}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Shielded reinforcement learning for fault-tolerant scheduling in real-time systems}}},
  doi          = {{10.1007/s11241-025-09441-z}},
  volume       = {{61}},
  year         = {{2025}},
}

@article{66148,
  author       = {{Chen, Kuan-Hsun and Li, Jing and Reghenzani, Federico and Chen, Jian-Jia}},
  issn         = {{2378-962X}},
  journal      = {{ACM Transactions on Cyber-Physical Systems}},
  number       = {{1}},
  pages        = {{1--2}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part 2}}},
  doi          = {{10.1145/3712019}},
  volume       = {{9}},
  year         = {{2025}},
}

@inproceedings{66156,
  author       = {{Winschermann, Leoni and Günzel, Mario and Chen, Kuan-Hsun and Hurink, Johann}},
  booktitle    = {{Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems}},
  publisher    = {{ACM}},
  title        = {{{Optimizing Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local Penalties}}},
  doi          = {{10.1145/3679240.3734593}},
  year         = {{2025}},
}

@inproceedings{66152,
  author       = {{Nassar, Hassan and Wei, Ming-Liang and Yang, Chia-Lin and Henkel, Jörg and Chen, Kuan-Hsun}},
  booktitle    = {{2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)}},
  publisher    = {{IEEE}},
  title        = {{{REAP-NVM: Resilient Endurance-Aware NVM-Based PUF Against Learning-Based Attacks}}},
  doi          = {{10.23919/date64628.2025.10992747}},
  year         = {{2025}},
}

@inproceedings{66158,
  author       = {{Cishugi, Elijah Seth and Smit, Tijmen T. and Forlin, Bruno and Cazzaniga, Carlo and Chen, Kuan-Hsun and Ottavi, Marco}},
  booktitle    = {{2025 IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS)}},
  publisher    = {{IEEE}},
  title        = {{{Bloom Filters for Soft Error Detection: Neutron and Fault Injection Validation}}},
  doi          = {{10.1109/iolts65288.2025.11116913}},
  year         = {{2025}},
}

@inproceedings{66151,
  author       = {{Cishugi, Elijah Seth and Buschjäger, Sebastian and Noorlander, Martijn and Ottavi, Marco and Chen, Kuan-Hsun}},
  booktitle    = {{2025 Design, Automation &amp;amp; Test in Europe Conference (DATE)}},
  publisher    = {{IEEE}},
  title        = {{{TrackScorer: Skyrmion Logic-in-Memory Accelerator for Tree-Based Ranking Models}}},
  doi          = {{10.23919/date64628.2025.10992934}},
  year         = {{2025}},
}

@inproceedings{66171,
  author       = {{Henkel, Jörg and Siddhu, Lokesh and Nassar, Hassan and Bauer, Lars and Chen, Jian-Jia and Hakert, Christian and Seidl, Tristan and Chen, Kuan-Hsun and Hu, Xiaobo Sharon and Li, Mengyuan and Yang, Chia-Lin and Wei, Ming-Liang}},
  booktitle    = {{Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design}},
  publisher    = {{ACM}},
  title        = {{{Co-Designing NVM-based Systems for Machine Learning and In-memory Search Applications}}},
  doi          = {{10.1145/3676536.3697114}},
  year         = {{2025}},
}

@inbook{66157,
  author       = {{Spaan, Jeffrey and Chen, Kuan-Hsun and Bader, David A. and Varbanescu, Ana-Lucia}},
  booktitle    = {{Lecture Notes in Computer Science}},
  isbn         = {{9783031998713}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Wedge-Parallel Triangle Counting for GPUs}}},
  doi          = {{10.1007/978-3-031-99872-0_1}},
  year         = {{2025}},
}

@inproceedings{66263,
  author       = {{Chen, Jian-Jia and Shi, Junjie and Günzel, Mario and von der Brüggen, Georg and Chen, Kuan-Hsun and Bella, Peter}},
  booktitle    = {{37th Euromicro Conference on Real-Time Systems (ECRTS 2025)}},
  editor       = {{Mancuso, Renato}},
  isbn         = {{978-3-95977-377-5}},
  issn         = {{1868-8969}},
  pages        = {{17:1–17:26}},
  publisher    = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}},
  title        = {{{Theoretical Foundations of Utility Accrual for Real-Time Systems}}},
  doi          = {{10.4230/LIPIcs.ECRTS.2025.17}},
  volume       = {{335}},
  year         = {{2025}},
}

@article{66166,
  author       = {{Shi, Liang and Shi, Jingtong and Amrouch, Hussam and Chen, Kuan-Hsun and Zhao, Mengying and Liu, Weichen}},
  issn         = {{1539-9087}},
  journal      = {{ACM Transactions on Embedded Computing Systems}},
  number       = {{6}},
  pages        = {{1--3}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Introduction to Special Issue on In/Near Memory and Storage Computing for Embedded Systems}}},
  doi          = {{10.1145/3677018}},
  volume       = {{23}},
  year         = {{2024}},
}

@inproceedings{66167,
  author       = {{Forlin, Bruno and Chen, Kuan-Hsun and Alachiotis, Nikolaos and Cassano, Luca and Ottavi, Marco}},
  booktitle    = {{2024 Design, Automation &amp;amp; Test in Europe Conference &amp;amp; Exhibition (DATE)}},
  publisher    = {{IEEE}},
  title        = {{{Lightweight Instrumentation for Accurate Performance Monitoring in RTOSes}}},
  doi          = {{10.23919/date58400.2024.10546790}},
  year         = {{2024}},
}

@article{66165,
  author       = {{Chen, Kuan-Hsun and Li, Jing and Reghenzani, Federico and Chen, Jian-Jia}},
  issn         = {{2378-962X}},
  journal      = {{ACM Transactions on Cyber-Physical Systems}},
  number       = {{3}},
  pages        = {{1--3}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems—Part I}}},
  doi          = {{10.1145/3677021}},
  volume       = {{8}},
  year         = {{2024}},
}

@inproceedings{66189,
  author       = {{Ridder, Frank and Chen, Kuan-Hsun and Alachiotis, Nikolaos}},
  booktitle    = {{2023 International Conference on Field Programmable Technology (ICFPT)}},
  publisher    = {{IEEE}},
  title        = {{{Accelerated Real-Time Classification of Evolving Data Streams using Adaptive Random Forests}}},
  doi          = {{10.1109/icfpt59805.2023.00031}},
  year         = {{2024}},
}

@inproceedings{66172,
  author       = {{Malcher, Jannik and Biebert, Daniel and Chen, Kuan-Hsun and Buschjäger, Sebastian and Hakert, Christian and Chen, Jian-Jia}},
  booktitle    = {{Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems}},
  publisher    = {{ACM}},
  title        = {{{Language-Based Deployment Optimization for Random Forests (Invited Paper)}}},
  doi          = {{10.1145/3652032.3659366}},
  year         = {{2024}},
}

@inproceedings{66170,
  author       = {{Smit, Tijmen T. and Forlin, Bruno Endres and Chen, Kuan-Hsun and Souvatzoglou, Ioanna and Psarakis, Mihalis and Ottavi, Marco}},
  booktitle    = {{2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)}},
  publisher    = {{IEEE}},
  title        = {{{An Enhanced Fault Injection Framework for FPGA-Based Soft-Cores}}},
  doi          = {{10.1109/dft63277.2024.10753564}},
  year         = {{2024}},
}