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

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
# Rram
# Scheduling
# Wear Of Materials

Mathematics

# Multithreading

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Computer Architecture Design and Test for Embedded Systems (CAES)

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:

Applied Computing and Intelligence - Associate Editor
IEEE International Conference on High Performance Computing, Data, & Analytics (HiPC) - TPC for Data Science Scalable Algorithms and Analytics Track (2022)
IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) - TPC for Real-Time Systems Track (2021, 2022)
Journal of Signal Processing Systems - Guest Editor (2022)
IEEE Real-Time Systems Symposium (RTSS) - Multimedia Chair, Session Chair, TPC, AE Committee (2021)
IEEE Real-Time Technology and Applications Symposium Brief-Presentation - TPC (2020)
Workshop on Machine Learning for CAD - TPC (2020)
Junior Researcher Workshop on Real-Time Computing - TPC (2020)

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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Bachelor

Master

Embedded Systems

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