dr.ing. K.H. Chen (Kuan)

Assistant Professor

About Me

Dr.-Ing. Kuan-Hsun Chen is an assistant professor at the Chair of Computer Architecture and Embedded Systems (CAES) for the University of Twente in the Netherlands.

From Aug. 2019 to Aug. 2021, he was a Postdoc at Design and Automation for Embedded Systems (DAES) group, at TU Dort­mund Uni­ver­sity (TUDo), in Germany. He earned his Ph.D. degree (05.2019) in Computer Science (Dr.-Ing.) from TU Dortmund University, Germany with distinction (summa cum laude). He earned his master’s degree in Computer Science (2013) and his bachelor's degree from the faculty of the Interdisciplinary Program of Humanities and Social Sciences (2011) at National Tsing Hua Uni­ver­sity in Taiwan.

Dr. Chen currently serves as Associate Editor in the journal of AIMS Applied Computing and Intelligence  and Guest Editor for the Journal of Signal Processing Systems. He has published 40+ scientific works in top peer-reviewed journals (e.g., TC and TECS) and international conferences (e.g., EMSOFT, RTSS, RTAS, DAC, LCTES). He is also a Technical Program Committee (TPC) member for many international conferences and a reviewer for many peer-reviewed journals and conferences in computer science.

Dr. Chen holds one best student paper award at RTCSA’18, one best paper nomination at DATE’21, and one dissertation award at TU Dortmund University in 2019. Moreover, he was granted by the German Academic Exchange Service (DAAD) one research project as Principal Investigator. He is also a volunteer mentor in ESA Summer of Code in Space (2017) and Google Summer of Code since 2016 for open-source development on a popular real-time operating system, namely RTEMS.



Engineering & Materials Science
Data Storage Equipment
Embedded Systems
Neural Networks
Real Time Systems
Wear Of Materials


My main research is about  Real-Time Embedded Systems. In particular, I like to investigate system software designs under given architecture attributes and bridge the gap between theory and practice. The following topics are what I have worked on so far:
  • Real-Time Systems and Real-Time Operating Systems
  • Dependable Computing and Fault-Tolerant Software Design
  • Cyber-Physical-Systems and Resource Management
  • Resource-Constrained Data Analysis: Tree-based ensemble

I have also served on several technical program committees (TPC) and journals:

and in the following venues as a reviewer or a sub-reviewer, including but not limited to:

  • Springer Journal of Time-Critical Computing Systems
  • ACM Transactions on Embedded Computing Systems
  • ACM Transactions on Design Automation of Electronic Systems
  • ACM Transactions on Cyber-Physical Sys­tems
  • IEEE Transaction on Computers
  • IEEE Embedded Sys­tems Letters
  • IEEE Transactions on Emerging Topics in Computing (Thematic Section) 
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Reliability
  • IEEE Real-Time Technology and Applications Symposium (RTAS)
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Real-Time Networks and Systems (RTNS)
  • Euromicro Conference on Digital Systems Design 2022 (DSD)
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)

Since 2016 I am also a mentor in Google Summer of Code for RTEMS. In case you are interested in the development of open-source RTOS, feel free to contact me.


Freymann, R., Shi, J., Chen, J-J. , & Chen, K-H. (2022). Renovation of EdgeCloudSim: An Efficient Discrete-Event Approach. In N. Abdennadher, E. Benkhelifa, J. M. Lloret, & Y. Jararweh (Eds.), 2021 Sixth International Conference on Fog and Mobile Edge Computing (FMEC) [9732572] IEEE/EUCA. https://doi.org/10.1109/FMEC54266.2021.9732572
Tsou, Y-T. , Chen, K-H., Yang, C-L., Cheng, H-Y., Chen, J-J., & Tsai, D-Y. (2022). This is SPATEM! A Spatial-Temporal Optimization Framework for Efficient Inference on ReRAM-based CNN Accelerator. In 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC) (pp. 702-707). [9712536] IEEE/EUCA. https://doi.org/10.1109/ASP-DAC52403.2022.9712536
Hakert, C. , Chen, K-H., Schirmeier, H., Bauer, L., Genssler, P. R., von der Brüggen, G., Amrouch, H., Henkel, J., & Chen, J-J. (2022). Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory. ACM transactions on embedded computing systems, 21(1), 1-24. [5]. https://doi.org/10.1145/3483839
Chen, K-H., Su, C., Hakert, C., Buschjager, S., Lee, C-L., Lee, J-K., Morik, K., & Chen, J. J. (2022). Efficient Realization of Decision Trees for Real-Time Inference. ACM transactions on embedded computing systems. https://doi.org/10.1145/3508019
Günzel, M., Teper, H. , Chen, K-H., Brüggen, G. V. D., & Chen, J-J. (2021). Work-in-Progress: Evaluation Framework for Self-Suspending Schedulability Tests. In 2021 IEEE Real-Time Systems Symposium (RTSS) (pp. 532-535). [9622401] (IEEE Real-Time Systems Symposium (RTSS); Vol. 2021). IEEE. https://doi.org/10.1109/RTSS52674.2021.00058
Chen, J. J., Huang, W-H., von der Brüggen, G. , Chen, K-H., & Ueter, N. (2021). On the Formalism and Properties of Timing Analyses in Real-Time Embedded Systems. In J-J. Chen (Ed.), A Journey of Embedded and Cyber-Physical Systems: Essays Dedicated to Peter Marwedel on the Occasion of His 70th Birthday (pp. 37-55). Springer. https://doi.org/10.1007/978-3-030-47487-4_4
Kriebel, F. , Chen, K-H., Rehman, S., Henkel, J., Chen, J-J., & Shafique, M. (2021). Dependable Software Generation and Execution on Embedded Systems. In J. Henkel, & N. Dutt (Eds.), Dependable Embedded Systems (pp. 139-160). Springer. https://doi.org/10.1007/978-3-030-52017-5_6
Hakert, C., Kühn, R. , Chen, K-H., Chen, J-J., & Teubner, J. (2021). OCTO+: Optimized Checkpointing of B+ Trees for Non-Volatile Main Memory Wear-Leveling. In 2021 IEEE 10th Non-Volatile Memory Systems and Applications Symposium (NVMSA) (pp. 1-6). [9628460] (IEEE Non-Volatile Memory Systems and Applications Symposium (NVMSA); Vol. 2021). IEEE. https://doi.org/10.1109/NVMSA53655.2021.9628460
von der Brüggen, G., Piatkowski, N. , Chen, K-H., Chen, J-J., Morik, K., & Brandenburg, B. B. (2021). Efficiently Approximating the Worst-Case Deadline Failure Probability under EDF. In 2021 IEEE Real-Time Systems Symposium (RTSS) (pp. 214-226). (IEEE Real-Time Systems Symposium (RTSS); Vol. 2021). IEEE. https://doi.org/10.1109/RTSS52674.2021.00029
Hakert, C., Khan, A. A. , Chen, K-H., Hameed, F., Castrillon, J., & Chen, J-J. (2021). BLOwing Trees to the Ground: Layout Optimization of Decision Trees on Racetrack Memory. In 2021 58th ACM/IEEE Design Automation Conference (DAC) (pp. 1111-1116). [9586167] IEEE. https://doi.org/10.1109/DAC18074.2021.9586167

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University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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