劉宗德 Liu, Tsung-Te
- Professor, Department of Electrical Engineering, National Taiwan University
- Ph.D. University of California, Berkeley, 2012
- M.S. National Taiwan University, 2004
- B.S. National Taiwan University, 2002
- Office : MD 518
- TEL : +886-2-33661818
- Email :
- Office Hour : Thursday 2~4pm
- Website : https://sites.google.com/eecs.ee.ntu.edu.tw/eecslab

Major Research Areas
Research Summary
My research interests involve the design of reliable and energy-efficient integrated circuits and systems, with emphasis on
- Ultra-low-power circuits, processors, and systems for IoT
- Energy-efficient ML algorithms and architectures for AI
- Hardware security circuits and technologies
Tsung-Te Liu received the B.S. and M.S. degrees from National Taiwan University, Taiwan, in 2002 and 2004, respectively, and the Ph.D. degree from the University of California, Berkeley, in 2012, all in electrical engineering.
From 2004 to 2005, he was with MediaTek Inc., Taiwan, where he was involved in circuit and system design for wireless communications. From 2005 to 2012, he was a member of the Berkeley Wireless Research Center (BWRC) at the University of California, Berkeley. From 2012 to 2014, he was with Interuniversity Microelectronics Centre (IMEC), Belgium, where he conducted research on circuit development for advanced CMOS technology. In 2014, he joined the faculty of National Taiwan University, Taiwan, where he is currently a Professor of the Graduate Institute of Electronics Engineering and the Department of Electrical Engineering. He is the recipient of several design and teaching awards. His research interests involve energy-efficient circuit and system designs.
Journal articles & book chapters
1. T. -H. Wu, C. Shu and T. -T. Liu, “An Efficient FPGA-Based Dilated and Transposed Convolutional Neural Network Accelerator” , IEEE Transactions on Circuits and Systems I: Regular Papers , Vol. vol. 71, no. 11 , pp. 5178-5186-, Nov. 2024
2. S. -H. Yang and T. -T. Liu, “A Highly Stable Physically Unclonable Function Using Algorithm-Based Mismatch Hardening Technique in 28-nm CMOS” , IEEE Transactions on Circuits and Systems I: Regular Papers , Vol. vol. 70, no. 1 , pp. 280-289-, Jan. 2023
3. R. -X. Zheng, Y. -C. Ko and T. -T. Liu, “A Speculative Computation Approach for Energy-Efficient Deep-Neural-Network” , IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems , Vol. vol. 42, no. 3 , pp. 795-806-, Mar. 2023
4. C. -Y. Yao, T. -Y. Wu, H. -C. Liang, Y. -K. Chen and T. -T. Liu, “A Fully Bit-Flexible Computation in Memory Macro Using Multi-Functional Computing Bit Cell and Embedded Input Sparsity Sensing” , IEEE Journal of Solid-State Circuits , Vol. vol. 58, no. 5 , pp. 1487-1495-, May 2023
5. H. -C. Chang, T. Wang, C. -A. Liao and T. -T. Liu, “A Low-Power PPG Processor for Real-Time Biometric Identification and Heart Rate Estimation” , IEEE Transactions on Circuits and Systems II: Express Briefs , Vol. vol. 70, no. 10 , pp. 3932-3936-, Oct. 2023
6. B. -C. Wu, W. -T. Chen and T. -T. Liu, “An Error-Resilient RISC-V Microprocessor With a Fully Integrated DC–DC Voltage Regulator for Near-Threshold Operation in 28-nm CMOS” , IEEE Journal of Solid-State Circuits , Vol. vol. 58, no. 11 , pp. 3275-3285-, Nov. 2023
7. Y. -C. Lai, C. -Y. Yao, S. -H. Yang, Y. -W. Wu and T. -T. Liu, “A Robust Area-Efficient Physically Unclonable Function With High Machine Learning Attack Resilience in 28-nm CMOS” , IEEE Transactions on Circuits and Systems I: Regular Papers , Vol. vol. 69, no. 1 , pp. 347-355-, Jan. 2022
8. Y. -L. Liou, J. -Y. Hsu, C. -S. Chen, A. H. Liu, H. -Y. Lee and T. -T. Liu, “A Fully Integrated 1.7mW Attention-Based Automatic Speech Recognition Processor” , IEEE Transactions on Circuits and Systems II: Express Briefs , Vol. vol. 69, no. 10 , pp. 4178-4182-, Oct. 2022
9. S. -H. Cheng, M. -H. Lee, B. -C. Wu and T. -T. Liu, “A Lightweight Power Side-Channel Attack Protection Technique With Minimized Overheads Using On-Demand Current Equalizer” , IEEE Transactions on Circuits and Systems II: Express Briefs , Vol. vol. 69, no. 10 , pp. 4008-4012-, Oct. 2022
10. Y. -T. Hsu, C. -Y. Yao, T. -Y. Wu, T. -D. Chiueh and T. -T. Liu, “A High-Throughput Energy–Area-Efficient Computing-in-Memory SRAM Using Unified Charge-Processing Network” , IEEE Solid-State Circuits Letters , Vol. vol. 4 , pp. 146-149-, 2021
11. Z. -Y. Liang, H. -H. Wei and T. -T. Liu, “A Wide-Range Variation-Resilient Physically Unclonable Function in 28 nm” , IEEE Journal of Solid-State Circuits , Vol. vol. 55, no. 3 , pp. 817-825-, Mar. 2020
12. C. -Y. Hong and T. -T. Liu, “A Variation-Resilient Microprocessor With a Two-Level Timing Error Detection and Correction System in 28-nm CMOS” , IEEE Journal of Solid-State Circuits , Vol. vol. 55, no. 8 , pp. 2285-2294-, Aug. 2020
13. L. -Y. Yeh, P. -J. Chen, C. -C. Pai and T. -T. Liu, “An Energy-Efficient Dual-Field Elliptic Curve Cryptography Processor for Internet of Things Applications” , IEEE Transactions on Circuits and Systems II: Express Briefs , Vol. vol. 67, no. 9 , pp. 1614-1618-, Sep. 2020
14. C. -H. Lu, Y. -T. Hsu, B. -C. Wu, and T. -T. Liu, “A 270-mV 6T SRAM Using Row-Based Dual-Phase VDD Control in 28-nm CMOS” , IEEE Transactions on Circuits and Systems I: Regular Papers , Vol. vol. 67, no. 12 , pp. 4774-4783-, Dec. 2020
15. F. Y. Xie, B. C. Wu, and T.-T. Liu, “A Ripple Reduction Method for Switched-Capacitor DC-DC Voltage Converter Using Fully Digital Resistance Modulation” , IEEE Transactions on Circuits and Systems I: Regular Papers , Vol. vol. 66, no. 9 , pp. 3631-3641-, Sep. 2019
16. S. Y. Chang, B. C. Wu, Y. L. Liou, R. X. Zheng, P. L. Lee, T. D. Chiueh, and T.-T. Liu, “An Ultra-Low-Power Dual-Mode Automatic Sleep Staging Processor Using Neural-Network-Based Decision Tree” , IEEE Transactions on Circuits and Systems I: Regular Papers , Vol. vol. 66, no. 9 , pp. 3504-3516-, Sep. 2019
17. T.-S. Chen, D.-Y. Lee, T.-T. Liu, and A.-Y. Wu, “Dynamic Reconfigurable Ternary Content Addressable Memory for OpenFlow-Compliant Low-Power Packet Processing” , IEEE Transactions on Circuits and Systems I: Regular Papers , Vol. vol.63, no.10 , pp.1661-1672, Oct. 2016
18. T.-T. Liu and J. Rabaey, “A 0.25V 460nW Asynchronous Neural Signal Processor with Inherent Leakage Suppression” , IEEE Journal of Solid-State Circuits , Vol. vol.48, no.4 , pp.897-906-, Apr. 2013
19. D. Marković, C. C. Wang, L. Alarcón, T.-T. Liu , and J. Rabaey, “Ultra-Low Power Design in Near-Threshold Regime” , Proceedings of the IEEE , Vol. vol.98, no.2 , pp.237–252-, Feb. 2010
20. T.-T. Liu, L. Alarcón, M. Pierson, and J. Rabaey, “Asynchronous Computing in Sense Amplifier-based Pass Transistor Logic” , IEEE Transactions on Very Large Scale Integration (VLSI) Systems , Vol. vol.17, no.7 , pp.883-892-, Jul. 2009
21. L. Alarcon, T.-T. Liu, M. Pierson, and J. Rabaey, “Exploring Very Low-energy Logic: A Case Study” , Journal of Low Power Electronics , Vol. vol.3, no.3 , pp.223-233-, Dec. 2007
Conference & proceeding papers:
1. C.-M. Huang, T.-T. Liu, and T-D. Chiueh, “An Energy-Efficient Resilient Flip-Flop Circuit with Built-In Timing-Error Detection and Correction” , IEEE International Symposium on VLSI Design, Automation and Test (VLSI-DAT’15) , Apr. 2015
2. J. Ryckaert, P. Raghavan, R. Baert, M.G. Bardon, M. Dusa, A. Mallik, S. Sakhare, B. Vandewalle, P. Wambacq, B. Chava, K. Croes, M. Dehan, D. Jang, P. Leray, T.-T. Liu, K. Miyaguchi, B. Parvais, P. Schuddinck, P. Weemaes, A. Mercha, J. Bommels, N. Horiguch, “Design Technology Co-optimization for N10” , IEEE Proceedings of the Custom Integrated Circuits Conference (CICC’14) , Sep. 2014
3. A. Mallik, P. Zuber, T.-T. Liu, B. Chava, B. Ballal, P. Royer, K. Croes, B. Rogier, R. Julien, A. Mercha, M. Badaroglu, and D. Verkest, “TEASE: A Systematic Analysis Framework for Early Evaluation of FinFET-based Advanced Technology Nodes” , 50th ACM/EDAC/IEEE Design Automation Conference (DAC’13) , Jun. 2013
4. J. Richmond, M. John, L. Alarcón, W. Zhou, W. Li, T.-T. Liu, M. Alioto, S. Sanders, and J. Rabaey, “Active RFID: Perpetual Wireless Communications Platform for Sensors” , Proceeding of the 38th European Solid-State Circuits Conference, 2012. (ESSCIRC’12) , Sep. 2012
5. T.-T. Liu and J. Rabaey, “A 0.25V 460nW Asynchronous Neural Signal Processor with Inherent Leakage Suppression” , IEEE Symposium on VLSI Circuits (VLSIC’12) , Jun. 2012
6. T.-T. Liu and J. Rabaey, “Statistical Analysis and Optimization of Asynchronous Circuits” , 18th IEEE International Symposium on Asynchronous Circuits and Systems, (ASYNC'12) , May 2012
7. L. Alarcón, T.-T. Liu, and J. Rabaey, “A Low-Leakage Parallel CRC Generator for Ultra-Low Power Applications” , Proceedings of 2011 IEEE International Symposium on Circuits and Systems (ISCAS’11) , May 2011
8. T.-T. Liu, L. Alarcón, M. Pierson, and J. Rabaey, “Asynchronous Computing in Sense Amplifier-based Pass Transistor Logic” , 14th IEEE International Symposium on Asynchronous Circuits and Systems, (ASYNC '08) , Apr. 2008