EEMCS-CS-CAES

Dr.-Ing. Kuan-Hsun Chen is Assistant Professor (tenured, UD1) in the group of Computer Architecture for Embedded Systems (CAES) at the University of Twente in the Netherlands.

Previously, from August 2019 to August 2021, he held a Postdoctoral position in the Design and Automation for Embedded Systems group at TU Dortmund University in Germany. He obtained his Ph.D. degree (May 2019) in Computer Science (Dr.-Ing.) from TU Dortmund University with the highest distinction (summa cum laude), under the supervision of Prof. Jian-Jia Chen. He completed his master's degree in Computer Science (2013) and his bachelor's degree in the Interdisciplinary Program of Humanities and Social Sciences (2011) at National Tsing Hua University in Taiwan.

He currently serves as Associate Editor for the IEEE Nanotechnology Magazine. Furthermore, he has published 90+ scientific works in top peer-reviewed journals (e.g., IEEE-TC, IEEE-TCAD and ACM-TECS) and international conferences (e.g., RTSS, RTAS, DAC, DATE). Additionally, he actively participates as a member of several Technical Program Committees (TPC) for premier conferences (EuroSys, DSN, RTSS, DAC) and contributes as a reviewer for various peer-reviewed journals in the field of computer science and engineering.

He is co-founder of the Dutch Real-Time System Community and Systems Meet AI Driving Innovation in the Dutch Society, supported by the 4TU.NIRICT community fund. Furthermore, he is also responsible for the course "Design and Implementation of Real-Time Systems", granted by the ASCI research school. Since 2024 he is a member of Young Academy Twente at UTwente. His achievements include, Outstanding TPC member at DAC'26, Distinguished Reviewer Award at DSN'26, Best Paper Nomination at Euro-Par'25, Outstanding Reviewer Award at CODES+ISSS'24, Best Paper Award at ECRTS’23, Best Paper Nomination at DATE'21, and a dissertation award at TU Dortmund University (2019). Furthermore, he was granted a personal exchange project (PPP) by the German Academic Exchange Service (DAAD) and a postdoctoral fellowship by the Japan Society for the Promotion of Science (JSPS) in 2021. 

Outside the academic pursuits, he dedicates his time to mentorship and open-source development. He has been a volunteer mentor in the ESA Summer of Code in Space (2017) and Google Summer of Code since 2016, specifically focusing on open-source development for a popular real-time operating system, RTEMS. Additionally, he is the senior member of IEEE and the member of HiPEAC, a network of European researchers in the field of computing systems.

Expertise

  • Computer Science

    • Non-Volatile Memory
    • Decision Tree
    • Real Time Systems
    • Embedded System
    • Main Memory
    • Execution Time
    • Schedulability Analysis
    • Neural Network

Organisations

My main research centres on Dependable Embedded Computing Systems. In particular, I develop architecture-aware software automation and bridge the gap between theory and practice in real-time system software. Particularly, the following topics are what I have worked on so far:

  • Embedded Real-Time Systems
  • Dependable Computing Systems
  • Hardware Software Co-design
  • Emerging Computing and Memory Technologies

Conference and Workshop chairing

  • Topic Chair (2027) of ACM/IEEE Design, Automation, and Test in Europe (DATE): "A6 Applications of Artificial Intelligence Systems"
  • Chair (2025) of Junior Researcher Workshop on Real-Time Computing (JRWRTC)
  • General Chair (2025) of International Workshop on Embedded Multicore Systems (ICPP-EMS)
  • Track Chair (2025) for "Software Architectures, Compilers, and Tool Chains (SwArch)" of IEEE International Conference on Computer Design (ICCD)
  • Co-Chair (2025) of Ph.D. forum at CPS-IoT Week
  • Chair (2025) and Co-Chair (2024) of Annual workshop on Operating Systems Platforms for Embedded Real-Time applications (OSPERT)
  • Co-Chair (2025) for the "AI/ML New Trends Special Day" at ACM/IEEE Design, Automation, and Test in Europe (DATE)

Conference Organization

Technical Program Committees (TPC)

Editorial Services for Transactions and Journals

Peer Reviewer / Sub-Reviewer

  • Springer Journal of Time-Critical Computing Systems (TIME)
  • Springer Journal of Systems Architecture (JSA)
  • ACM Transactions on Embedded Computing Systems (TECS)
  • ACM Transactions on Design Automation of Electronic Systems (TODAES)
  • ACM Transactions on Cyber-Physical Sys­tems (TCPS)
  • ACM Transactions on Internet of Things (TIOT)
  • ACM Transactions on Storage (TOS)
  • IEEE Transaction on Computers (TC)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)
  • IEEE Transaction on Dependable and Secure Computing (TDSC)
  • IEEE Transactions on Big Data (TBD)
  • IEEE Transactions on Vehicular Technology (TVT)
  • IEEE Embedded Sys­tems Letters (ESL)
  • IEEE Transactions on Emerging Topics in Computing (Thematic Section) 
  • IEEE Transactions on Automatic Control (TAC)
  • IEEE Transactions on Reliability (TR)
  • IEEE Transactions on Device and Materials Reliability (TDMR)
  • IEEE Transactions on Artificial Intelligence (TAI)

Volunteer and ancillary Activities

Since 2016 I am committed to mentorship, engaging in programs such as Google Summer of Code and ESA Space Summer of Code for RTEMS. In case you are interested in the development of open-source RTOS, feel free to contact me. During my free time, I also provide technical consultancy services to an indie game design studio.

Publications

2026

Deductive Verification for Earliest Deadline First Scheduler Implementations (2026)[Working paper › Preprint]. ArXiv.org. Kuhse, D., Shi, J., Pham, J. D. T., Heider, K., Völker, M., Chen, K.-H. & Chen, J.-J.https://doi.org/10.48550/arXiv.2607.26927POSTER: Enabling Fine-Grain DVFS for Multi-Kernel GPU Workloads (2026)In Proceedings of the 23rd ACM International Conference on Computing Frontiers, CF'26 (pp. 349-350) (Proceedings of the ACM International Conference on Computing Frontiers; Vol. 2026). Association for Computing Machinery (ACM). Spaan, J., Chen, K.-H. & Varbanescu, A.-L.https://doi.org/10.1145/3801487.3805613Instruction Error Detection with Bloom Filters: Architecture, Radiation Testing and Fault Injection (2026)IEEE transactions on device and materials reliability. Article 11580390 (E-pub ahead of print/First online). Cishugi, E. S., Smit, T. T., Forlin, B., Cazzaniga, C., Chen, K.-H. & Ottavi, M.https://doi.org/10.1109/TDMR.2026.3707731Efficient Hash-to-Index via Rejection Sampling for Online Fault Detection with Bloom/Cuckoo Filters (2026)In 2026 IEEE European Test Symposium (ETS) (pp. 1-6). Article 11591729. IEEE. Cishugi, E. S., Chen, K.-H. & Ottavi, M.https://doi.org/10.1109/ETS69887.2026.11591729How Much Energy Is Wasted in LLM operations?: Evidence from Kernel-Level DVFS (2026)In Proceedings of the 23rd ACM International Conference on Computing Frontiers, CF 2026 (pp. 90-100) (Proceedings of the ACM International Conference on Computing Frontiers; Vol. 2026). Association for Computing Machinery (ACM). Spaan, J., Chen, K.-H. & Varbanescu, A.-L.https://doi.org/10.1145/3801487.3801822Releaser Design and Schedulability Analysis for Care-Taking Tasks in Real-Time Systems (2026)In Proceedings of the IEEE 32nd Real-Time and Embedded Technology and Applications Symposium, RTAS 2026: 12–14 May 2026 Saint Malo, France (pp. 55-67). Article 11558402 (IEEE Symposium on Real-Time and Embedded Technology and Applications; Vol. 2026). IEEE. Hölscher, N., Heider, K., Brüggen, G. v. d., Günzel, M., Chen, K.-H. & Chen, J.-J.https://doi.org/10.1109/RTAS68450.2026.00012Reducing Compute Waste in LLMs through Kernel-Level DVFS (2026)[Working paper › Preprint]. ArXiv.org. Spaan, J., Chen, K.-H. & Varbanescu, A.-L.https://doi.org/10.48550/arXiv.2601.08539Wedge-Parallel Triangle Counting for GPUs (2026)In Euro-Par 2025: Parallel Processing - 31st European Conference on Parallel and Distributed Processing, 2025, Proceedings (pp. 3-17) (Lecture Notes in Computer Science; Vol. 15902). Springer. Spaan, J., Chen, K.-H., Bader, D. A. & Varbanescu, A.-L.https://doi.org/10.1007/978-3-031-99872-0_1

2025

Applying AI for and on Hardware: Cross-Layer Approaches for Security and Efficiency (2025)In 2025 37th International Conference on Microelectronics (ICM) (pp. 1-10). Article 11322515 (Proceedings of the International Conference on Microelectronics, ICM; Vol. 2025). IEEE Advancing Technology for Humanity. Nassar, H., Sikal, M. B., Biebert, D., Hakert, C., Khdr, H., Lang, M., Schmid, L., Pauly, M., Gonzalez, J., Chen, K.-H., Chen, J.-J. & Henkel, J.https://doi.org/10.1109/ICM66518.2025.11322515LazyTick: Lazy and Efficient Management of Job Release in Real-Time Operating Systems (2025)ACM transactions on embedded computing systems, 24(5), 1-25. Article 142. Heider, K., Hakert, C., Chen, K.-H. & Chen, J.-J.https://doi.org/10.1145/3762651

Research profiles

Affiliated study programs

Courses academic year 2026/2027

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2025/2026

Funded projects:

  1. QuNeCo (2026-2030): Cross-Paradigm Orchestration of Quantum Computers, Neuromorphic Chips, and Conventional Accelerators (NWO-JST)
  2. NeAIxt (2025): Next Generation of edge AI crossing technology fields (https://neaixt.eu/)
  3. “Systems Meet AI Driving Innovation in the Dutch Society” (2025-2026): 4TU.NIRICT
  4. “Design and Implementation of Real-Time Systems” (2024-2026): Educational Grant (ASCI Research School).
  5. “Dutch Real-Time Systems Community” (2022-2023): 4TU.NIRICT

PhD students:

  1. Jeffrey Spaan, Computer Science, Towards Sustainable Computing: Metrics, Methods, and
    Tools for Reducing Computing Waste Across the Computing Continuum
  2. Elijah Cishugi, Electrical Engineering, Design and Characterization of Reliable Computing
    Methodologies for RISC-V
  3. Duncan Bart, Computer Science, Hybrid performance modeling for graph applications on
    heterogeneous computing systems

Master students: 

  1. Thom Harbers (Present), Resilient Scheduling through Performance Counter Monitoring on RISC-V under Soft-Errors
  2. Csongor Buzogany (Present), Designing Physically Unclonable Functions (PUFs) with Racetrack Memory
  3. Eva Plas (Present), Modernizing Legacy DLLs: Middleware for Hardware Integration, FIP-AM supported
  4. An-Pang Fang (Present), Aging-Aware Run-Time Management and Scheduling
  5. Jelle Berning (Present), Reliability Analysis and Optimization of Tree-Based Machine Learning Models
  6. Menke Veerman (2026), When memory thinks: Multiplicationless neural networks for Efficient AI in Processing-in-Memory Systems
  7. Sijn Brugman (2026), Analyzing the Dynamics of Priorities of Weakly-Hard Real-Time Jobs under Overload Conditions, DLR supported; Best Thesis of the Year Candidate
  8. Vladimir Halchenko (2026), Taming algorithm execution for racetrack memory: a toolchain for automated RTSim trace generation
  9. Marten Trip (2025), RawDRAM: A Minimal Memory Controller for Accessible Processingin-Memory Experimentation on COTS DRAM
  10. Armin Purle-Kopacz (2025), Toward A Real-Time Capable and Reconfigurable Middleware for Scalable and Heterogeneous Distributed System, DLR supported
  11. Ewout van Nimwegen (2025), Dependable Adaptive Random Forest on FPGA
  12. Jelle Hierck (2025), Keeping a Close Watch : Evaluating the Effect of Clock Synchronization on the Performance of a Distributed Robotic Setup
  13. Stijn Nowee (2025), Mondrian Forest Implementation on FPGA
  14. Larissa van Deinse (2025), Compiling a RISCV extension for Skyrmion Racetrack Logic-in-Memory using the Clang Compiler
  15. Marco Di Francesco (2024), Efficient Online Learning in Resource-Constrained Automation Environments, ABB supported
  16. Martijn S. Noorlander (2024), TrackScorer : Skyrmion Logic-In-Memory Accelerator for Document Ranking, Published in DATE 2025
  17. Tijmen Smit (2024), Investigating RISC-V hardware for autonomy in space, exact emulation-based fault injection on a hardware accelerator, Published in DFT 2024
  18. Florian Hagens (2023), Efficient Task Dispatching for Real-Time Systems: A Case Study in FreeRTOS, Presented in OSPERT 2023 and CompSys 2023
  19. Frank Ridder (2023), Adaptive Random Forest on FPGA, Published in ICFPT 2023

Bachelor students:

  1. Sebastian Dorobanţu (TCS, 2026), Energy-Efficient Decision Tree Execution on Watchy
  2. Joas Loonstra (EE, 2025), FULPES running time-Improvement
  3. Halard Rutsch (TCS, 2026), From Cosmic Rays to Compile Time LLVM-Based Estimation of Single-Event Upsets, Best Presentation Award
  4. Jop ten Wolde (EE, 2025), Comparing random forest implementations, BDT against MDD from BDT
  5. Alexander Fourie (TCS, 2026), Investigating batch execution of random forests using TL2cgen
  6. Jesper Lok (EE, 2025), Efficient inference with accuracy-preserved integer encoding on treebased model compiler
  7. Serge Johanns (B-TCS/B-AM), Performance comparison of FAME and MPB for simulating wave bands of photonic crystals

Visiting students:

  1. Joao Pedro Selva Bernardino (Erasmus, 2025), Instrumentation for Monitoring Applications in FreeRTOS
  2. Afaf Alawan (Erasmus, 2023-2024), Medical Space with edge computing
  3. Enis Atat Erkol (Erasmus 2023), Multimodal Signal Sensing and Analysis for Chronic Disease Monitoring
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