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

Universitair docent

Over mij

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Expertises

Engineering & Materials Science
Data Storage Equipment
Embedded Systems
Neural Networks
Real Time Systems
Rram
Scheduling
Wear Of Materials
Mathematics
Multithreading

Onderzoek

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Publicaties

Recent
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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Universiteit Twente
Drienerlolaan 5
7522 NB Enschede

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Universiteit Twente
Postbus 217
7500 AE Enschede

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