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

Assistant Professor

About Me

Dr.-Ing. Kuan-Hsun Chen is a tenured assistant professor 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 Guest Editor for the ACM Transactions of Cyber-Physical Systems and the ACM Transactions on Embedded Computing Systems. Furthermore, he has published 60+ scientific works in top peer-reviewed journals (e.g., TC and TECS) and international conferences (e.g., EMSOFT, RTSS, RTAS, DAC, ECML, DATE). Additionally, he actively participates as a member of several Technical Program Committees (TPC) for premier conferences and contributes as a reviewer for various peer-reviewed journals and conferences in the field of computer science and engineering.

He is one founder of the Dutch Real-Time System Community, funded by 4TU.NIRICT. Furthermore, he is also responsible for the course "Design and Implementation of Real-Time Systems", granted by the ASCI research school. His achievements include Best Paper Award at ECRTS’23, Best Paper nomination at DATE'21, Best Student Paper Award at RTCSA'18, 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 member of HiPEAC, a network of European researchers in the field of computing systems.



Engineering & Materials Science
Computer Hardware
Data Storage Equipment
Decision Trees
Embedded Systems
Real Time Systems
Wear Of Materials


My main research is about  Embedded Real-Time Systems. In particular, I develop architecture-aware software automation and bridge the gap between theory and practice in real-time system software. The following topics are what I have worked on so far:
  • Timing Analysis, Scheduling, and System Software for Real-Time Systems
  • Dependable Computing and Fault-Tolerant Software Design
  • Cyber-Physical-Systems and Resource Management
  • Hardware Software Co-design

I have also served on several technical program committees (TPC) or organization teams:

transactions 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 (TIME)
  • 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)
  • 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 Real-Time Technology and Applications Symposium (RTAS)
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • International Conference on Real-Time and Network Systems (RTNS) 
  • 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.


Günzel, M., Ueter, N. , Chen, K-H., Von der brüggen, G., & Chen, J-J. (2023). Probabilistic Reaction Time Analysis. ACM transactions on embedded computing systems, 22(5s), 1-22. https://doi.org/10.1145/3609390
Günzel, M., Teper, H. , Chen, K-H., von der Brüggen, G., & Chen, J-J. (2023). On the Equivalence of Maximum Reaction Time and Maximum Data Age for Cause-Effect Chains. In A. V. Papadopoulos (Ed.), 35th Euromicro Conference on Real-Time Systems (ECRTS 2023) (pp. 10:1--10:22). [10] Dagstuhl. https://doi.org/10.4230/LIPIcs.ECRTS.2023.10
Lin, C-C., Günzel, M., Shi, J., Seidl, T. T. , Chen, K-H., & Chen, J-J. (2023). Scheduling Periodic Segmented Self-Suspending Tasks without Timing Anomalies. In 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS) (pp. 161-173). [10155695] IEEE. https://doi.org/10.1109/RTAS58335.2023.00020
Shi, J., Ueter, N., Chen, J-J. , & Chen, K-H. (2023). Average Task Execution Time Minimization under (m, k) Soft Error Constraint. In 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS) (pp. 1-13). [10155688] IEEE. https://doi.org/10.1109/RTAS58335.2023.00008
Guenzel, M., Ueter, N. , Chen, K-H., & Chen, J-J. (2023). Timing Analysis of Cause-Effect Chains with Heterogeneous Communication Mechanisms. In RTNS '23: The 31st International Conference on Real-Time Networks and Systems, Dortmund, Germany, June 7-8, 2023 (pp. 224-234). Association for Computing Machinery. https://doi.org/10.1145/3575757.3593640
Hakert, C. , Chen, K-H., & Chen, J-J. (2023). Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random Forests. In M-R. Amini, S. Canu, A. Fischer, T. Guns, P. Kralj Novak, & G. Tsoumakas (Eds.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part V (pp. 531-546). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13717 LNAI). Springer. http://10.1007/978-3-031-26419-1_32
Chen, K. H., Lin, Y. C., & Lee, J. K. (2023). Guest Editorial: Special Issue on Systems Optimizations for DSP and AI Applications. Journal of signal processing systems, 95(5), 569-570. https://doi.org/10.1007/s11265-023-01854-y
Günzel, M. , Chen, K-H., Ueter, N., von der Brüggen, G., Dürr, M., & Chen, J-J. (2023). Compositional Timing Analysis of Asynchronized Distributed Cause-Effect Chains. ACM transactions on embedded computing systems, 22(4), [63]. https://doi.org/10.1145/3587036
Liang, G. M., Yuan, C. Y., Yuan, M. S., Chen, T. L. , Chen, K. H., & Lee, J. K. (2023). The Support of MLIR HLS Adaptor for LLVM IR. In ICPP Workshops '22: Workshop Proceedings of the 51st International Conference on Parallel Processing (pp. 1-8). [12] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3547276.3548515
Kotthaus, H., Marwedel, P., Yayla, M., Buschjäger, S., Amrouch, H. , & Chen, K-H. (2022). Memory Awareness. In K. Morik, & P. Marwedel (Eds.), Machine Learning under Resource Constraints: Fundamentals (Vol. 1, pp. 305-358). De Gruyter Mouton. https://doi.org/10.1515/9783110785944-007

UT Research Information System

Google Scholar Link

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 5037
Hallenweg 19
7522NH  Enschede
The Netherlands

Navigate to location

Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  5037
P.O. Box 217
7500 AE Enschede
The Netherlands

Social Media