林龙扬

助理教授 深港微电子学院

林龙扬博士,于2018年获得新加坡国立大学博士学位,2018-2021年于新加坡国立大学任博士后研究员,2021年5月加入南方科技大学深港微电子学院。林龙扬博士长期在集成电路设计领域从事前沿研究,研究方向包括低功耗及高能效集成电路设计、自适应数字电路设计、多传感器融合芯片设计、集成电路硬件安全、超低温集成电路设计等;在先进CMOS工艺成功流片超过20次;累计发表论文 40 余篇,包括集成电路领域顶级期刊 IEEE Journal of Solid-State Circuits 论文10篇、芯片奥林匹克 ISSCC 5 篇、顶级会议 Symposium on VLSI Circuits 12篇;出版英文专著 1 本;专利申请 10 项;担任国际期刊 IEEE TVLSI 及 IET JoE 的副编辑;研究成果曾被40多家国际杂志媒体报道。

招聘信息: 林龙扬博士课题组常年招聘博士后、科研助理,招收博士生、硕士生、本科实习生,科研方向:

1)模拟IC设计(模拟前端设计,低功耗振荡器、电源管理、电压基准等模块设计)

2)数模混合IC设计(感、存、算一体,先进存储电路设计)

3)数字IC设计(数字标准单元、高能效硬件加速器)

4)架构设计(人工智能算法-电路协同优化)

课题组氛围融洽、经费充裕、流片机会丰富(可保证每年3~5次不同工艺节点流片),有意应聘者请将简历(格式PDF)发送至以下邮箱,以“招聘岗位_应聘者姓名”为题。

联系方式:linly@sustech.edu.cn

个人简介

研究领域

超低功耗数字集成电路设计

高能效人工智能处理器设计

多传感器融合芯片设计

集成电路硬件安全

无电池边缘计算处理器

超低温电路设计


教学

SME309 微型处理器设计 (秋)

SME5020 超低功耗数字电路设计(春)


学术成果 查看更多

Books

  • S. Jain, L. Lin, M. Alioto, Adaptive Digital Circuits for Power-Performance Range beyond Wide Voltage Scaling – From the Clock Path to the Data Path, Springer, 2020, doi: 10.1007/978-3-030-38796-9, eBook ISBN 978-3-030-38796-9, Hardcover ISBN 978-3-030-38795-2.

International Journals

  • J. Li, Y. Dong, L. Lin, J. S. Y. Tan, J. Y. Fong and J. Yoo, “Concurrent Body-Coupled Powering and Communication ICs With a Single Electrode,” in IEEE Journal of Solid-State Circuits, vol. 59, no. 4, pp. 1006-1016, April 2024, doi: 10.1109/JSSC.2024.3353386.
  • V. Dinh, N. Bui, V. Nguyen, D. John, L. Lin, Q. Trinh, “NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro”. Neurocomputing  (2023)560, 126838.
  • W. Wang, K. Li, J. Lan, M. Shen, Z. Wang, X. Feng, H. Yu, K. Chen, J. Li, F. Zhou, L. Lin, P. Zhang, Y. Li, “CMOS backend-of-line compatible memory array and logic circuitries enabled by high performance atomic layer deposited ZnO thin-film transistor,”.  Nature Communications14(1), 6079, 2023, doi: 10.1038/s41467-023-41868-5.
  • T. He, Y. Zheng, X. Liang, J. Li, L. Lin, W. Zhao, Y. Li, J. Zhao. “A Highly Energy-Efficient Body-Coupled Transceiver Employing a Power-on-Demand Amplifier”. Cyborg Bionic Syst. 2023;4:0030. doi:10.34133/cbsystems.0030.
  • Q. Duong,  Q. Trinh,  V. Nguyen,  D. Dao,  D. Luong,  V. Hoang,  L. Lin,  J. Deepu. “A low-power charge-based integrate-and-fire circuit for binarized-spiking neural network”. Int J Circ Theor Appl. 2023; 51(7): 3404-3414. doi:10.1002/cta.3573
  • T. He, J. Luo, Z. Kong, X. Liang, L. Lin, B. Zhao, L. Qi, Y. Li, G. Wang, J. Zhao, “A Re-Configurable Body Channel Transceiver Towards Wearable and Flexible Biomedical Sensor Networks,” in IEEE Transactions on Biomedical Circuits and Systems, vol. 17, no. 5, pp. 1022-1034, Oct. 2023, doi: 10.1109/TBCAS.2023.3290085.
  • H. Zhang, L. Lin, Q. Fang and M. Alioto, “Laser Voltage Probing Attack Detection With 100% Area/Time Coverage at Above/Below the Bandgap Wavelength and Fully-Automated Design,” in IEEE Journal of Solid-State Circuits (JSSC), doi: 10.1109/JSSC.2023.3274596.
  • L. Fassio, L. Lin, R. De Rose, M. Lanuzza, F. Crupi and M. Alioto, “Voltage Reference With Corner-Aware Replica Selection/Merging for 1.4-mV Accuracy in Harvested Systems Down to 3.9 pW, 0.2 V,” in IEEE Access, vol. 11, pp. 3584-3596, 2023, doi: 10.1109/ACCESS.2023.3234621.
  • J. Basu, K. Ali, L. Lin and M. Alioto, “Picowatt-Power Analog Gain Stages in Super-Cutoff Region With Purely-Harvested Demonstration,” in IEEE Solid-State Circuits Letters, vol. 5, pp. 226-229, 2022, doi: 10.1109/LSSC.2022.3203693.
  • W. Mao, K. Li, Q. Cheng, L. Dai, B. Li, X. Xie, H. Li, L. Lin, H. Yu, “A Configurable Floating-Point Multiple-Precision Processing Element for HPC and AI Converged Computing,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 30, no. 2, pp. 213-226, Feb. 2022, doi: 10.1109/TVLSI.2021.3128435.
  • S. Jain, L. Lin# and M. Alioto, “±CIM SRAM for Signed In-Memory Broad-Purpose Computing From DSP to Neural Processing,” IEEE Journal of Solid-State Circuits (JSSC), vol. 56, no. 10, pp. 2981-2992, Oct. 2021, doi: 10.1109/JSSC.2021.3092759. (#corresponding author)
  • L. Fassio, L. Lin, R. De Rose, M. Lanuzza, F. Crupi and M. Alioto, “A 0.6-to-1.8V CMOS Current Reference with Near-100% Power Utilization,” IEEE Transactions on Circuits and Systems II: Express Briefs, early access, doi: 10.1109/TCSII.2021.3085607.
  • L. Fassio*, L. Lin*, R. De Rose, M. Lanuzza, F. Crupi and M. Alioto, “Trimming-Less Voltage Reference for Highly Uncertain Harvesting Down to 0.25 V, 5.4 pW,” IEEE Journal of Solid-State Circuits (JSSC), vol. 56, no. 10, pp. 3134-3144, Oct. 2021, doi: 10.1109/JSSC.2021.3081440. (*equally credited authors)
  • L. Lin, S. Jain, M. Alioto, “Sub-nW Microcontroller with Dual-mode Standard Cells and Self-startup for Battery-Indifferent Sensor Nodes”, IEEE Journal of Solid-State Circuits (JSSC), vol. 56, no. 5, pp. 1618-1629, May 2021, doi: 10.1109/JSSC.2020.3038115.
  • L. Fassio, F. Settino, L. Linet al., “A Robust, High-Speed and Energy-Efficient Ultralow-Voltage Level Shifter,” in IEEE Transactions on Circuits and Systems II: Express Briefsearly access, doi: 10.1109/TCSII.2020.3033253.
  • S. Jain, L. Lin, M. Alioto, “Broad-Purpose In-Memory Computing for Signal Monitoring and Machine Learning Workloads,” in IEEE Solid-State Circuits Lettersvol. 3, pp. 394-397, 2020, doi: 10.1109/LSSC.2020.3024838.
  • S. Jain, L. Lin#, M. Alioto, “Drop-In Energy-Performance Range Extension in Microcontrollers Beyond VDD Scaling”, in IEEE Journal of Solid-State Circuits (JSSC), vol. 55, no. 10, pp. 2670-2679, Oct. 2020, doi: 10.1109/JSSC.2020.3005778. (#corresponding author)
  • L. Lin, S. Jain, M. Alioto, “Integrated Power Management for Battery-Indifferent Systems with Ultra-Wide Adaptation down to nW”, in IEEE Journal of Solid-State Circuits (JSSC), vol. 55, no. 4, pp. 967-976, April 2020, doi: 10.1109/JSSC.2019.2959742.
  • S. JainL. Lin, M. Alioto, “Automated Design of Reconfigurable Micro-Architectures for Accelerators under Wide Voltage Scaling”, in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 28, no. 3, pp. 777-790, March 2020, doi: 10.1109/TVLSI.2019.2950959.
  • L. Lin, S. Jain, M. Alioto, “Reconfigurable Clock Networks for Wide Voltage Scaling,” in IEEE Journal of Solid-State Circuits (JSSC), vol. 54, no. 9, pp. 2622-2631, Sept. 2019, doi: 10.1109/JSSC.2019.2925269.
  • O. Aiello, P. Crovetti, L. Lin, M. Alioto, “A pW-Power Hz-Range Oscillator Operating with a 0.3V-1.8V Unregulated Supply”, in IEEE Journal of Solid-State Circuits (JSSC), vol. 54, no. 5, pp. 1487-1496, May 2019, doi: 10.1109/JSSC.2018.2886336.
  • S. Jain, L. Lin, M. Alioto, “Dynamically Adaptable Pipeline for Energy-Efficient Microarchitectures under Wide Voltage Scaling,” in IEEE Journal of Solid-State Circuits (JSSC), vol. 53, no. 2, pp. 632-641, Feb. 2018, doi: 10.1109/JSSC.2017.2768406.
  • S. Jain, L. Lin, M. Alioto, “Design-Oriented Energy Models for Wide Voltage Scaling down to the Minimum Energy Point,” in IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), vol. 64, no. 12, pp. 3115-3125, Dec. 2017, doi: 10.1109/TCSI.2017.2736540.

International Conferences

  • Lyu, Z. Yang, B. Qiu, H. Li, Z. Kong, H. Yu, S. Zhou, F. Zhou, K. Chen, J. Li, Y. Li, L. Lin, ” Bi-Voltage Scaling via Cryo-CMOS Standard-Cell Library and Fully-Automated Design for 34% Power Reduction and 1.5× DVFS Efficiency Improvement at 4K,” 2024 IEEE 50th European Solid-State Electronics Research Conference (ESSERC) (Accepted)
  • Y. Zhu, Y. Lan, H. Li, H. Lyu, Z. Kong, J. Zhao, Y. Li, G. Wang, J. Li, L. Lin, “A 0.72nW, 0.006mm2 32kHz Crystal Oscillator with Adaptive Sub-Harmonic Pulse Injection from -40oC to 125oC in 22nm FDSOI,” 2024 IEEE VLSI Symposium on Technology and Circuits (Accepted)
  • Y. Zhu, J. Y. Fong, L. Lin, J. Yoo and J. Li, “Biomedical System-on-Chip Design with Integrated Body-Coupled Powering,” 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), Toronto, ON, Canada, 2023, pp. 1-4, doi: 10.1109/BioCAS58349.2023.10388567.
  • W. Chen, C. Gao, Y. Zhu, L. Lin and J. Li, “Intra-Body Wireless Power and Data Links for Biomedical Microsystems,” 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), Toronto, ON, Canada, 2023, pp. 1-5, doi: 10.1109/BioCAS58349.2023.10388442.
  • Q. Fang, L. Lin, H. Zhang, T. Wang and M. Alioto, “Voltage Scaling-Agnostic Counteraction of Side-Channel Neural Net Reverse Engineering via Machine Learning Compensation and Multi-Level Shuffling,” 2023 IEEE Symposium on VLSI Circuits, Kyoto, Japan, 2023, pp. 1-2, doi: 10.23919/VLSITechnologyandCir57934.2023.10185228.
  • H. Zhang, L. Lin, Q. Fang, U. S. H. Kalingage and M. Alioto, “Self-Referenced Design-Agnostic Laser Voltage Probing Attack Detection with 100% Protection Coverage, 58% Area Overhead for Automated Design,” 2023 IEEE Symposium on VLSI Circuits, Kyoto, Japan, 2023, pp. 1-2, doi: 10.23919/VLSITechnologyandCir57934.2023.10185360.
  • J. Li, Y. Dong, L. Lin, J. S. Y. Tan, F. J. Yi and J. Yoo, “Wireless Body-Area Network Transceiver ICs with Concurrent Body-Coupled Powering and Communication using Single Electrode,” 2023 IEEE Symposium on VLSI Circuits, Kyoto, Japan, 2023, pp. 1-2, doi: 10.23919/VLSITechnologyandCir57934.2023.10185270.
  • H. Wu, J. H. Park, M. Zhang, L. Lin, R. Jiang, J. Choi, J. Yoo, “A 0.95pJ/b 5.12Gb/s/pin Charge-Recycling IOs with 47% Energy Reduction for Big Data Applications,” 2022 IEEE Asian Solid-State Circuits Conference (A-SSCC), Taipei, Taiwan, 2022, pp. 1-3, doi: 10.1109/A-SSCC56115.2022.9980680.
  • K. A. Ahmed, L. Lin, P. S. Salamani and M. Alioto, “Imager with Dynamic LSB Adaptation and Ratiometric Readout for Low-Bit Depth 5-μW Peak Power in Purely-Harvested Systems,” 2022 IEEE Symposium on VLSI Circuits, Honolulu, HI, USA, 2022, pp. 50-51, doi: 10.1109/VLSITechnologyandCir46769.2022.9830147.
  • H. Zhang, L. Lin, Q. Fang and M. Alioto, “On-Chip Laser Voltage Probing Attack Detection with 100% Area Coverage at Above/Below the Bandgap Wavelength and Fully-Automated Design,” 2022 IEEE Symposium on VLSI Circuits, Honolulu, HI, USA, 2022, pp. 140-141, doi: 10.1109/VLSITechnologyandCir46769.2022.9830144.
  • Q. Fang*, L. Lin*, Y. Z. Wong, H. Zhang, M. Alioto, “Side-Channel Attack Counteraction via Machine Learning-Targeted Power Compensation for Post-Silicon HW Security Patching”, 2022 IEEE International Solid-State Circuits Conference (ISSCC) , Feb. 2022. (*equally credited authors)
  • L. Wu, J. Guo, R. Jiang, Y. Peng, H. Wu, J. Li, Y. Dong, M. Zhang, Z. Li, K. A. Ng, C.-W. Tsai, L. Zhang, L. Lin, L. Lin and J. Yoo, “BatDrone: A 9.83M-focal points/s, 7.76μs Latency Ultrasound Imaging Sensor SoC with On-Chip Per-Voxel RX Beam-Focusing for 7-m Range Drone Applications”, 2022 IEEE International Solid-State Circuits Conference (ISSCC) , Feb. 2022.
  • T. He, Z. Kong, X. Liang, J. Luo, L. Lin, L. Qi, Y. Li, J. Zhao, G. Wang, “A 10-Mbps 119.2-pJ/bit Software Defined Body Channel Transceiver Employing a CCII-based PGA and a 2.5-bit/cycle ADC in 180-nm CMOS,” 2021 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA), 2021, pp. 206-207, doi: 10.1109/ICTA53157.2021.9661912.
  • L. Fassio*, L. Lin*, R. De Rose, M. Lanuzza, F. Crupi and M. Alioto, “A 3.2-pW, 0.2-V Trimming-Less Voltage Reference with 1.4-mV Across-Wafer Total Accuracy,” ESSCIRC 2021 – IEEE 47th European Solid State Circuits Conference (ESSCIRC), 2021, pp. 343-346, doi: 10.1109/ESSCIRC53450.2021.9567778. (*equally credited authors)
  • Y. Dong, J. Li, L. Lin, T. Tang, J. H. Park, K. A. Ng, M. Zhang, L. Zhang, J. S. Y. Tan, J. Yoo., “Body-Coupled Power Transceiver with Node-Specific Body-Area Powering,” ESSCIRC 2021 – IEEE 47th European Solid State Circuits Conference (ESSCIRC), 2021, pp. 423-426, doi: 10.1109/ESSCIRC53450.2021.9567745.
  • L. Lin, K. A. Ahmed, P. S. Salamani and M. Alioto, “Battery-Less IoT Sensor Node with PLL-Less WiFi Backscattering Communications in a 2.5-μW Peak Power Envelope,” 2021 Symposium on VLSI Circuits, 2021, pp. 1-2, doi: 10.23919/VLSICircuits52068.2021.9492358.
  • M. Zhang, L. Zhang, J. H. Park, C-W. Tsai, K. A. Ng, L. Lin, Y. Dong, J. Li, T. Tang, H. Wu, L. Wu, J. Yoo, “A One-Shot Learning, Online-Tuning, Closed-Loop Epilepsy Management SoC with 0.97μJ/Classification and 97.8% Vector-Based Sensitivity,” 2021 Symposium on VLSI Circuits, 2021, pp. 1-2, doi: 10.23919/VLSICircuits52068.2021.9492429.
  • L. Lin, S. Jain, M. Alioto, “Multi-Sensor Platform with Five-Order-of-Magnitude System Power Adaptation down to 3.1nW and Sustained Operation under Moonlight Harvesting”, 2020 Symposium on VLSI Circuit, Honolulu, HI, USA, 2020, pp. 1-2, doi: 10.1109/VLSICircuits18222.2020.9162898.
  • L. Fassio*, L. Lin*, R. Rose, M. Lanuzza, F. Crupi, M. Alioto, “A 0.25-V, 5.3-pW Voltage Reference with 25-µV/oC Temperature Coefficient, 140µV/V Line Sensitivity and 2,200-µm2 Area in 180nm”, 2020 Symposium on VLSI Circuit, Honolulu, HI, USA, 2020, pp. 1-2, doi: 10.1109/VLSICircuits18222.2020.9162872. (*equally credited authors)
  • J. Li, Y. Dong, J. Park, L. Lin, T. Tang, M. Zhang, H. Wu, L. Zhang, J. S. Y. Tan, J. Yoo “Human-Body-Coupled Power-Delivery and Ambient-Energy-Harvesting ICs for a Full-Body-Area Power Sustainability”, 2020 IEEE International Solid- State Circuits Conference – (ISSCC), San Francisco, CA, USA, 2020, pp. 514-516, doi: 10.1109/ISSCC19947.2020.9063042.
  • S. Jain, L. Lin, M. Alioto, “Drop-In Energy-Performance Range Extension in Microcontrollers Beyond VDD Scaling”, 2019 IEEE Asian Solid-State Circuits Conference (A-SSCC), Macau, China, 2019, pp. 125-128, doi: 10.1109/A-SSCC47793.2019.9056919.
  • L. Lin, S. Jain, M. Alioto, “Integrated Power Management and Microcontroller for Ultra-Wide Power Adaptation down to nW”2019 Symposium on VLSI Circuit, Kyoto, Japan, 2019, pp. C178-C179, doi: 10.23919/VLSIC.2019.8778085.
  • L. Lin, S. Jain, M. Alioto, “A 595pW 14pJ/cycle Microcontroller with Dual-mode Standard Cells and Self-startup for Battery-Indifferent Distributed Sensing”, 2018 IEEE International Solid- State Circuits Conference – (ISSCC), San Francisco, CA, 2018, pp. 44-46, doi: 10.1109/ISSCC.2018.8310175.
  • L. Lin, K. Trinh Quang, M. Alioto, “Transistor Sizing Strategy for Simultaneous Energy-Delay Optimization in CMOS Buffers”, 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, 2017, pp. 1-4, doi: 10.1109/ISCAS.2017.8050997.
  • L. Lin, S. Jain, M. Alioto, “Reconfigurable Clock Networks for Random Skew Mitigation from Sub-Threshold to Nominal Voltage”, 2017 IEEE International Solid- State Circuits Conference – (ISSCC), San Francisco, CA, 2017, pp. 440-441, doi: 10.1109/ISSCC.2017.7870450.

Patents                                                          

  • L. Lin, S. Jain, M. Alioto, “Multi-mode standard cell logic and self-startup for battery-indifferent or pure energy harvesting systems”, pending U.S. Patent 2020/0395940 A1, Dec. 17, 2020.

新闻动态 更多新闻

  • 林龙扬课题组在集成电路领域顶会ESSERC 2024入选论文

    2024-06-07
  • 林龙扬课题组在集成电路领域顶会VLSI Symposium2024入选论文

    2024-06-07
  • 积累沉淀,化解万难 | 专访深港微电子学院林龙扬助理教授

    2022-05-08

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南方科技大学深港微电子学院林龙扬老师现有2022级申请-考核制博士生名额(第二批次),欢迎感兴趣的同学尽快前来联系。请将个人简历等相关材料发送至:linly@sustech.edu.cn。课题组详细信息可参考:(个人主页https://faculty.sustech.edu.cn/linly/)
 
导师简介:
林龙扬博士,于2018年获得新加坡国立大学博士学位,2018-2021年于新加坡国立大学任博士后研究员,2021年5月加入南方科技大学深港微电子学院,现为课题组独立PI,获深圳市海外高层次人才计划支持。林龙扬博士的研究方向包括低功耗集成电路设计、自适应数字电路设计、集成电路硬件安全等;累计发表论文30余篇,包括集成电路领域顶级期刊 IEEE Journal of Solid-State Circuits论文8篇(6篇一作/通讯),“芯片奥林匹克”ISSCC会议5篇(3篇一作/通讯),Symposium on VLSI Circuits 7 篇(6篇一作/通讯);出版英文专著1本;专利申请6项;获得 2020 年ISSCC最佳演示奖,2017年 ISSCC STGA等奖项;担任 IEEE Transactions on VLSI Systems及 IET The Journal of Engineering的副编辑;研究成果曾被40余家国际科技媒体报道。
 
课题组简介:
本课题组致力于研究超低功耗集成电路设计、高能效人工智能处理器设计、多传感器融合芯片设计、超低温CMOS电路设计,集成电路硬件安全等领域。课题组目前经费充足,可以保证每年至少3次的先进工艺节点流片(22/28/40/65/180nm等)。本课题组导师对科研具有极高的热情,认真负责,会花费大量时间亲自提供及时、认真的指导工作,保证学生在课题组期间能够获得长足的进步和收获。同时本课题组导师性格随和,会与课题组同学平等相处、建立良好的关系,对在课题组期间表现优异者愿意积极为其推荐工作或是继续深造的机会。
 
招生要求:
1)符合南方科技大学申请考核制博士生招生要求(请参考https://gs.sustech.edu.cn/#/admission/detail?current_child_id=86&id=96&article_id=2710);
2)具有坚定的学术理想,强大的学习能力和端正的学习态度;
3)对集成电路设计相关研究有浓厚兴趣,为人认真负责,有独立思考能力;
4)具有优秀的英语文献阅读能力,英语论文写作能力。
 
博士研究生待遇:
博士年限为4-5年;博士期间将有每月高额生活补助+课题组科研补助+会议出差补助(总额远超国内其他高校);学校提供单人宿舍。
 
联系方式:
邮箱:linly@sustech.edu.cn
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