个人简介
刘伟强，现任南京航空航天大学电子信息工程学院/集成电路学院副院长、教授、博士生导师，“面向航空航天的协同智能信息处理”教育部学科创新引智基地常务副主任，南京航空航天大学青年教授学术交流联谊会常务副会长。国家自然科学基金优秀青年基金获得者，入选斯坦福大学2020年全球前2%科学家“年度影响力”榜单（计算机硬件及体系结构领域），中国电子学会优秀科技工作者，IEEE、中国电子学会和中国计算机学会高级会员。2012年和2006年分别获得英国贝尔法斯特女王大学电子工程博士学位和南京航空航天大学信息工程专业学士学位。
主要研究高能效高安全性新兴计算集成电路与系统。担任工业和信息化部商用密码应用推进专家委员会委员，IEEE Transactions on VLSI Systems指导委员会委员，Proceedings of the IEEE客座编委（近似计算芯片主题），以及IEEE Transactions on Computers、IEEE Transactions on Circuits and Systems I: Regular Papers、IEEE Transactions on Emerging Topics in Computing （TETC）等芯片设计领域国际顶级期刊编委，2020年TETC及2021年AsianHOST最佳论文奖评审委员会（Best Paper Award Committee）委员，IEEE纳米技术委员会（NTC）行政委员会（AdCom）成员。担任顶级会议IEEE计算机算术运算会议（ARITH 2020）程序委员会共同主席（国内首次）并入选新一届指导委员会委员，任DAC、ARITH、DATE、ISCAS、ASP-DAC、ASAP、ICCD等十余个著名国际会议程序委员会委员。
出版英文专著2部（Springer和Artech House出版社），发表论文180余篇，其中IEEE及ACM期刊论文70余篇（特邀论文8篇），相关论文入选2021年1月IEEE TCAS-1 Highlight Paper, 2021年第四期IEEE CASM Feature Paper和2017年12月IEEE TC Feature Paper，获得2021年IET CDT年度Editor's Choice Award，入选DAC 2022，DATE 2022，IEEE ISCAS 2021和COINS 2021等著名国际会议的Tutorial Speaker。授权发明专利20余项。主持国家自然科学基金、国家电网总部科技项目等国家和省部级项目10余项。获得国防技术发明奖二等奖、江苏省研究生教育改革成果一等奖等省部级科技和教学奖励6项。指导学生获得中国国际“互联网+”大学生创新创业大赛全国金奖2项，IEEE AsianHOST 2021博士论坛Best Presentation Award和 IEEE电路与系统协会年度导学项目（CASS Mentoring Program）。
获奖信息
国内获奖
[] 江苏省教学成果特等奖（排7），2021
[] 华为技术有限公司技术合作成果转化二等奖（排1）, 2021
[] 最佳海报奖（Best Poster Award），第六届中国设计自动化论坛（ChinaDA）, 2021
[] 中国电子学会优秀科技工作者, 2021
[] 国防技术发明奖二等奖（排4），2021
[]国家自然科学基金优秀青年基金项目获得者, 2020
[] 江苏省研究生教育改革成果一等奖（排2）, 2020
[] 王宽诚教育基金会国际会议资助, 2020
[] 江苏省六大人才高峰高层次人才（B类资助）, 2018
[] 江苏省青年科技人才托举工程, 2017
[] 江苏省教学成果二等奖（排3），2017
[] 中国航空学会科学技术奖二等奖（排8），2015
国际获奖
[] 斯坦福大学全球前2%顶尖科学家年度影响力榜单（计算机硬件与架构领域，大陆前10名）, 2021
[] 当月代表论文（Feature Paper）, IEEE Circuits and Systems Magazine (4th Issue), 2021
[] 当月亮点论文（Highlight Paper）, IEEE Transactions on Circuits and Systems I: Regular Papers (January Issue), 2021
[] IET CDT年度编辑推荐论文奖（Editor's Choice Award），2021
[] 当月代表论文（Feature Paper）, IEEE Transactions on Computers (December Issue), 2017
[] 最受欢迎论文（Most Popular Article）, IEEE Transactions on Computers (July Issue), 2017
[] 最佳论文候选 (Top 4), ACM Great Lakes Symposium on VLSI (GLSVLSI), 2015
[] 最佳论文候选(Top 8), IEEE International Symposium on Circuits and Systems (ISCAS), 2011
出版物列表
已出版英文专著2部（Springer和Artech House出版社），发表论文180余篇，其中IEEE及ACM期刊70余篇（8篇特邀论文）。在高能效高安全性新兴计算集成电路与系统领域的代表性论著如下，全部论著列表请访问 Weiqiang Liu - Google Scholar
Selected Publications on Approximate Computing and AI Accelerators
[1] Weiqiang Liu, Fabrizio Lombardi, Approximate Computing, Springer, Jun. 2022.
[2] Weiqiang Liu, Tao Xu, Jing Li, Chenghua Wang, Paolo Montuschi, and Fabrizio Lombardi, Design of Approximate Hybrid Dividers based on Array and Logarithmic Dividers, IEEE Transactions on Emerging Topics in Computing, DOI:10.1109/TETC.2020.3022290.
[3] Bo Liu, Xiaoling Ding, Hao Cai, Wentao Zhu, Zhen Wang, Weiqiang Liu and Jun Yang, Precision Adaptive MFCC based on R2SDF-FFT and Approximate Computing for Low-Power Speech Keywords Recognition, IEEE Circuits and Systems Magazine, pp. 24-39, Nov. 2021.
[4] Tian Yuan, Weiqiang Liu, Jie Han, and Fabrizio Lombardi, High Performance CNN Accelerators based on Hardware and Algorithm Co-Optimization, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 1, pp. 250-263, Jan. 2021. (Highlight Paper of IEEE TCAS-I 2021 January Issue)
[5] Weiqiang Liu, Chongyan Gu, Gang Qu, Maire O'Neill, Paolo Montuschi and Fabrizio Lombardi, Security in Approximate Computing and Approximate Computing for Security: Challenges and Opportunities, Proceedings of the IEEE, vol. 108, no. 12, pp. 2214-2231, Dec. 2020. (Invited Paper)
[6] Weiqiang Liu, Fabrizio Lombardi, and Michael Schulte, A Retrospective and Prospective View of Approximate Computing, Proceedings of the IEEE, vol. 108, no. 3, pp. 394-399, Mar. 2020. (Invited Paper)
[7] Weiqiang Liu, Qicong Liao, Fei Qiao, Weijie Xia, Fabrizio Lombardi, Approximate Designs for Fast Fourier Transform (FFT) with Application to Speech Recognition, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 66, no. 12, pp. 4727-4739, Dec. 2019.
[8] Weiqiang Liu, Jiahua Xu, Danye Wang, Chenghua Wang, Paolo Montuschi and Fabrizio Lombardi, Design and Evaluation of Approximate Logarithmic Multipliers for Low Power Error-Tolerant Applications, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 65, no. 9, pp. 2856-2868, Sep. 2018.
[9] Weiqiang Liu, Liangyu Qian, Chenghua Wang, Honglan Jiang, Jie Han and Fabrizio Lombardi, Design of Approximate Radix-4 Booth Multipliers for Error-Tolerant Computing, IEEE Transactions on Computers, vol. 66, no. 8, pp. 1435-1441, Aug. 2017. (Most Popular Article of IEEE TC in July 2017)
[10] Weiqiang Liu, Linbin Chen, Chenghua Wang, Maire O'Neill and Fabrizio Lombardi, Design and Analysis of Inexact Floating-Point Adders, IEEE Transactions on Computers, vol. 65, no. 1, pp. 308-314, Jan. 2016
Selected Publications on Hardware and AI Security
[1] Mingfu Xue, Yushu Zhang, Jian Wang, and Weiqiang Liu, Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations, IEEE Transactions on Artifificial Intelligence, DOI: 10.1109/TAI.2021.3133824.
[2] Shichao Yu, Chongyan Gu, Weiqiang Liu and Maire O'Neill, A Deep Learning-based Hardware Trojan Detection System with Block-based Netlist Information Extraction, IEEE Transactions on Emerging Topics in Computing, DOI: 10.1109/TETC.2021.3116484.
[3] Yale Wang, Chenghua Wang, Chongyan Gu, Yijun Cui, Maire O'Neill and Weiqiang Liu, A Dynamic Confifigurable PUF Design and the Dynamic Matching Authentication Protocol, IEEE Transactions on Emerging Topics in Computing, DOI: 10.1109/TETC.2021.3072421.
[4] Mingfu Xue, Can He, Jian Wang and Weiqiang Liu, One-to-N & N-to-One: Two Advanced Backdoor Attacks against Deep Learning Models, IEEE Transactions on Dependable and Secure Computing, DOI: 10.1109/TDSC.2020.3028448.
[5] Chongyan Gu, Weiqiang Liu, Yijun Cui, Neil Hanley, Maire O'Neill, and Fabrizio Lombardi, A Flip-Flop Based Arbiter Physical Unclonable Function (APUF) Design with High Entropy and Uniqueness for FPGA Implementation, IEEE Transactions on Emerging Topics in Computing, vol. 9, no. 4, pp. 1853-1866, Dec. 2021.
[6] Chongyan Gu, Neil Hanley, Weiqiang Liu, Jack Miskelly and Maire O'Neill, A Comprehensive Analysis for Large Scale of Single Slice Based Physical Unclonable Functions on 28nm Xilinx FPGAs, Journal of Cryptographic Engineering, vol. 11, pp. 227C238, Sep. 2021.
[7] Chongyan Gu, Chip-Hong Chang, Weiqiang Liu, Shichao Yu, Neil Hanley, and Maire O'Neill, A Modeling Attack Resistant Deception Technique for Secure and Lightweight PUF-based Authentication, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 40, no. 6, pp. 1183-1196, Jun. 2021.
[8] Weiqiang Liu, Lei Zhang, Zhengran Zhang, Chongyan Gu, Chenghua Wang, Maire O'Neill, and Fabrizio Lombardi, XOR-Based Low-Cost Reconfigurable PUFs for IoT Security, ACM Transactions on Embedded Computing Systems, vol. 18, no. 3, Article 25, Mar. 2019.
[9] Chongyan Gu, Weiqiang Liu, Neil Hanley, Robert Hesselbarth, and Maire O'Neill, A Theoretical Model to Link Uniqueness and Min-Entropy for PUF Evaluations, IEEE Transactions on Computers, vol. 68, No. 2, pp. 287-293, 2019.
[10] Mingfu Xue, Rongzhen Bian, Jian Wang, and Weiqiang Liu, Building an Accurate Hardware Trojan Detection Technique from Inaccurate Simulation Models and Unlabeled ICs, IET Computers & Digital Techniques, vol. 13, no. 4, pp. 348-359, 2019. (Annual Editor's Choice Award)
Selected Publications on Cryptography Engineering
[1] Ziying Ni, Dur-e-Shahwar Kundi, Maire O'Neill, and Weiqiang Liu, A High-performance SIKE Hardware Accelerator, IEEE Transactions on VLSI Systems, DOI: 10.1109/TVLSI.2022.3152011.
[2] Dur-e-Shahwar Kundi, Yuqing Zhang, Chenghua Wang, Ayesha Khalid, Maire O’Neill, and Weiqiang Liu, Ultra High-Speed Polynomial Multiplications for Lattice-based Cryptography on FPGAs, IEEE Transactions on Emerging Topics in Computing, DOI: 10.1109/TETC.2022.3144101.
[3] Dur-E-Shahwar Kundi, Ayesha Khalid, Song Bian, Chenghua Wang, Maire O'Neill, Weiqiang Liu, AxRLWE: A Multi-level Approximate Ring-LWE Co-Processor for Lightweight IoT Applications, IEEE Internet-of-Things Journal, DOI: 10.1109/JIOT.2021.3122276.
[4] Song Bian, Dur-E-Shahwar Hundi, Kazuma Hirozawa, Weiqiang Liu, and Takashi Sato, APAS: Application-Specific Accelerators for RLWE-based Homomorphic Linear Transformations, IEEE Transactions on Information Forensics and Security, vol. 16, pp. 4663-4678, Oct. 2021.
[5] Dur-e-Shahwar Kundi, Ayesha Khalid, Chenghua Wang, Arshad Aziz, Maire O'Neill and Weiqiang Liu, Resource-Shared Crypto-Coprocessor of AES Enc/Dec With SHA-3, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 67, no. 12, pp. 4869-4882, Dec. 2020.
[6] Yuqing Zhang, Chenghua Wang, Dur-E-Shahwar Hundi, Ayesha Khalid, Maire O'Neill, and Weiqiang Liu, An Efficient and Parallel R-LWE Cryptoprocessor, IEEE Transactions on Circuits and Systems II: Brief Express, vol. 67, no. 5, pp. 886-890, May 2020. (Invited Paper from ISCAS 2020).
[7] Weiqiang Liu, Ziying Ni, Jian Ni, Ciara Rafferty, and Maire O'Neill, High Performance Modular Multiplication for SIDH, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 10, pp. 3118-3122, Oct. 2020.
[8] Weiqiang Liu, Sailong Fan, Ayesha Khalid, Ciara Rafferty, and Maire O'Neill, Optimised Schoolbook Polynomial Multiplication for Compact Lattice-based Cryptography on FPGAs, IEEE Transactions on Very Large Scale Integrated (VLSI) Systems, vol. 27, no. 10, pp. 2459-2463, 2019.
[9] Weiqiang Liu, Jian Ni, Zhe Liu, Chunyang Liu, and Maire O'Neill, Optimized Modular Multiplication for Supersingular Isogeny Diffie-Hellman, IEEE Transactions on Computers, vol. 68, no. 8, pp. 1249-1255, Aug. 2019.
[10] Weiqiang Liu, Faqiang Mei, Chenghua Wang, Maire O'Neill and Earl E. Swartzlander Jr., Data Compression Device based on Modifified LZ4 Algorithm, IEEE Transactions on Consumer Electronics, vol. 64, no. 1, pp. 110-117, 2018.
Selected Publications on Majority Logic based Design
[1] Tingting Zhang, Honglan Jiang, Hai Mo, Weiqiang Liu, Fabrizio Lombardi, Leibo Liu and Jie Han, Design of Majority Logic-based Approximate Booth Multipliers for Error-Tolerant Applications, IEEE Transactions on Nanotechnology, vol. 21, pp. 81-89, 2022.
[2] Weiqiang Liu, Tingting Zhang, Emma McLarnon, Maire O'Neill, Paolo Montuschi, and Fabrizio Lombardi, Design and Analysis of Majority Logic Based Approximate Adders and Multipliers, IEEE Transactions on Emerging Topics in Computing, vol. 9, no. 3, pp. 1609-1624, 2021.
[3] Zhufei Chu, Zeqiang Li, Yinshui Xia, Lunyao Wang and Weiqiang Liu, BCD Adder Design for Quantum-dot Cellular Automata Based on three-input XOR and Majority Gates, IEEE Transactions on Circuits and Systems II: Brief Express, vol. 68, no. 6, pp. 1942-1946, 2021.
[4] Tingting Zhang, Vikramkumar Pudi, and Weiqiang Liu, New Majority Gate Based Parallel BCD Adder Designs for Quantum-dot Cellular Automata, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 7, pp. 1232-1236, July 2019.
[5] Weiqiang Liu, Liang Lu, Maire O'Neill and Earl E. Swartzlander, Jr., A First Step Towards Cost Functions for Quantum-dot Cellular Automata Designs, IEEE Transactions on Nanotechnology, vol. 13, no. 3, pp. 476-487, May 2014.
[6] Weiqiang Liu, Earl E. Swartzlander, Jr., and Maire O'Neill, Design of Semiconductor QCA Systems, Norwood, MA: Artech House, Sep. 2013.
[7] Liang Lu, Weiqiang Liu, Maire O'Neill and Earl E. Swartzlander, Jr., QCA Systolic Array Design, IEEE Transactions on Computers, vol. 62, no. 3, pp. 548-560, Mar. 2013
[8] Weiqiang Liu, Saket Srivastava, Liang Lu, Maire O'Neill and Earl E. Swartzlander, Jr., Are QCA Cryptographic Circuits Resistant to Power Analysis Attack?, IEEE Transactions on Nanotechnology, vol. 11, no. 6, pp. 1239-1251, Nov. 2012.
[9] Weiqiang Liu, Liang Lu, Maire O'Neill, Earl E. Swartzlander, Jr. and Roger Woods, Design of Quantum-dot Cellular Automata Circuits Using Cut-Set Retiming, IEEE Transactions on Nanotechnology, vol. 10, no. 5, pp. 1150-1160, Sep. 2011.
[10] Weiqiang Liu, Liang Lu, Maire O'Neill, Earl E. Swartzlander, Jr., Design Rules for Quantum dot Cellular Automata, Proc. IEEE Int. Symp. Circuits and Systems (ISCAS 2011), pp. 2361-2364, Rio de Janeiro, Brazil, May 2011. (Finalist in the Best Paper Contest, Top 8)
专利软著
授权专利：
1. 刘伟强、王成华、余益飞. 基于可重构环形振荡器的物理不可克隆函数及其产生方法， 授权号ZL201410340723.6，授权日：2017.1.25
2. 刘伟强、王成华、余益飞. 一种低成本、高安全性物理不可克隆函数, 授权号：ZL201410332657.8，授权日：2017.12.16
3. 刘伟强、崔益军、王成华、张磊. 一种基于三态反相器的物理不可克隆函数电路结构及其应用, 授权号：ZL201510720177.3，授权日：2018.5.22
4. 刘伟强、王成华、钱亮宇.一种高性能非精确乘法器及其应用方法, 授权号：ZL20150712638.2，授权日：2018.7.20
5. 阚诺文、刘伟强. 一种基于SARM型存储器的物理不可克隆函数响应纠错电路，授权号：ZL201610654990.X，授权日：2019.4.2
6. 刘伟强、张磊、崔益军、王成华. 可配置物理不可克隆函数电路及其响应产生方法，授权号：ZL201610891480.4，授权日：2019.4.19
7. 刘伟强、操天、廖其聪、王成华. 一种高性能非精确冗余二进制乘法器及其设计方法，授权号：ZL201710001809.X，授权日：2019.5.14
8. 刘伟强、梅发强、廖其聪、张磊、王成华. 一种新型低成本高速真随机数发生器，授权号：ZL201710645082.9，授权日：2020.8.18
9. 陈超、孙杰、王成华、刘伟强. 基于多数表决的比较器失调校准装置和校准方法，授权号：ZL2020I0733505.4，授权日：2020.11.24
10. 韦子伟、崔益军、黎江、陈云鹏、刘伟强等. 一种可重构环形振荡器物理不可克隆函数电路及其激励生成方法, 授权号：ZL202010105644.2，授权日：2021.2.19
11. 孙杰、陈超、刘伟强、王成华. 一种流水线逐次逼近型ADC位权后台校准系统方法，授权号：ZL202011175318.5，授权日：2021.2.19
12. 韦子伟、崔益军、刘伟强、王成华、陈云鹏、黎江. 一种基于FPGA的可配置RO PUF，授权号：202010594096.4，授权日：2021.9.17
13. 刘伟强、张诤然、崔益军. 一种基于延时链的可配置物理不可克隆函数，授权号：201811235499.9，授权日：2021.9.17
14. 崔益军、黎江、刘伟强、王成华. 多模态可重构物理不可克隆函数电路及其方法，授权号：ZL202111066285.5，授权日：2021.12.14
15. 刘伟强、倪健、刘春洋、刘哲. 一种SIDH中特殊域快速模乘的方法，授权号：ZL201711467326.5，授权日：2021.12.10
16. 崔益军、黎江、刘伟强、王成华. 多模态可重构物理不可克隆函数电路及其方法，授权号：ZL202111066285.5，授权日：2021.12.14
17. 崔益军、黎江、刘伟强、王成华. 一种基于RRAM的高效可重构环形振荡器PUF电路，授权号：ZL202111251083.8，授权日：2022.3.15
18. 刘伟强、倪子颖、倪健. 一种SIDH特殊域快速模乘方法，授权号：ZL201910947892.9，授权日：2022.4.8
19. 刘伟强、Haroon Waris、袁田、王成华. 一种高性能近似全加器门级单元，授权号：201910873564.9，授权日：2022.4.26
受理专利：
1. 刘伟强、南国才、王成华. 一种LSTM网络的压缩加速方法及其FPGA加速器，申请号：201911103697.4
2. 刘伟强、袁田、王成华. 一种卷积神经网络的压缩方法及其实现电路，申请号：202010624916X
3. 陈云鹏、崔益军、刘伟强、王成华、黎江、韦子伟. 一种基于FPGA的开关矩阵的新型可编程的PUF结构，申请号：2020107491207
4. 徐涛、刘伟强、王成华. 基于阵列和对数除法器的近似混合除法器电路, 申请号：202010126403.6
5. 陈云鹏、崔益军、韦子伟、刘伟强、王成华、黎江等. 一种基于动态可重构技术实现PUF的系统及方法, 申请号：202010051513.0
6. 刘伟强、杜锦鹤. 一种新的基于近似复数乘法器的FFT处理器，申请号：202101452797.9
7. 刘伟强、Haroon Waris、徐宸宇. 一种近似2比特乘法器和大规模乘法器，申请号：202110849703.1
8. 刘伟强、张虎、闫成刚、王成华，崔益军. 一种基于静态随机存取存储器的动态物理不可克隆函数电路，申请号：202011578424.8
9. 刘伟强、张雨晴、姚衎、王成华. 一种基于Schoolbook算法的高性能环多项式乘法器，申请号：202110016679.3
10. 刘伟强、姚衎、张雨晴、王成华. 一种基于基2平方MDC NTT结构的高性能环多项式乘法器，申请号：202110060895.8
11. 刘伟强、王正宽、南国才. HE-LSTM网络结构及其对应的FPGA硬件加速器，申请号：202011470304.6
12. 孙杰、闫成刚、刘伟强. 一种逐次逼近型ADC的电容阵列和开关逻辑电路，申请号：202110257650.4
13. 刘伟强、徐宸宇、陈珂. 一种基于基8布斯折叠编码的近似平方器结构，申请号：202110952585.7
14. 刘伟强、吴比、刘凯. 一种基于电阻属性存储器的数据快速查找结构，申请号：202111438343.2
15. 闫成刚、陈诺、刘伟强、王成华. 一种低功耗高分辨率的时间数字转换器
16. 刘伟强、章渊拓、崔益军、徐天宇、倪子颖、王成华. 基于Saber密钥封装的多项式硬件乘法器及使用方法
17. 刘伟强、卢传超、崔益军、张卓尧、倪子颖、王成华. 应用于多项式硬件乘法的侧信道相关能量分析方法及系统
18. 黎江、崔益军、刘伟强、王成华、王保胜. 一种低功耗高分辨率的时间数字转换器
19. 一种基于部分积概率分析的近似浮点乘法器，申请号：202210076195.2
20. 一种卷积神经网络的压缩方法、系统及加速装置，申请号：202111439943.03
软件著作权：
1. 刘伟强, 张磊. 基于物理不可克隆函数的认证系统软件， 登记号：2017R11L519339
2. 刘伟强, 张诤然, 方越. 基于物理不可克隆函数的三因子认证系统软件， 登记号：2019R11S0499466
科研项目
主持科研项目：
[] 高能效高安全性近似计算集成电路设计方法，国家自然科学基金优秀青年科学基金（62022041），2021.1-2023.12
[] 近似计算XXX，华为技术有限公司技术合作课题，2020.11-2021.10
[] 王宽诚教育基金会国际会议资助，2020
[] 新兴计算集成电路设计，南京航空航天大学杰出人才培育基金，2019.1-2021.12
[] 江苏省“六大人才高峰”高层次人才项目（新一代信息技术B类，XYDXX-009），2018.10-2020.9
[] 面向认知计算的近似电路与算法跨层协同设计方法研究， 国家自然科学基金面上项目（61871216），2019.1-2022.12
[] 电网核心业务可信身份认证关键技术研究，国家电网总部科技项目（52110418001L），2018.1-2019.12，子课题
[] 江苏省青年科技人才托举工程资助项目，2017.7-2017.12
[] 可重构物理不可克隆函数，南京航空航天大学青年科技创新基金（NS2017024），2017.1-2019.6
[] 非精确算术运算单元设计理论与方法， 国家自然科学基金青年基金项目（61401197），2015.1-2017.12
[] 基于物理不可克隆函数的加密系统关键技术研究，江苏省自然科学基金面上项目（BK20151477），2015.7-2018.6
[] 非精确计算电路，南京市留学人员科技活动择优资助经费，2015.11-2016.10
[] 内外网间高速实时无损数据压缩处理传输技术研究，国家电网南瑞集团信通公司横向课题(4500936940)，2017.1-2017.12
[] 身份安全登录认证子系统，国家电网南瑞集团信通公司科技项目（4500784337），2017.1-2017.12
[] 无损压缩专用电路设计实现，中国电子科技集团第二十八研究所横向课题，2016.10-2016.12
[] 非精确数字集成电路理论研究，中央高校基本科研业务费，2014.1-2015.12
参与科研项目：
[] 深空器间通信半物理仿真验证系统研制与试验，XX工程着陆测控数传分系统预研项目，2015-2016
[] 可重构低成本物理不可克隆技术研究， 国家自然科学基金面上项目（61771239），2018.1-2021.12
[] 神经形态多核处理器的架构模型研究， 国家自然科学基金青年基金项目（61504059），2016.1-2018.12
[] CSIT Grand Challenge 3: Privacy and Trust for Financial Markets，英国工程和自然科学研究委员会 (EPSRC) 重点项目（EP/H049606/1），2010.7-2014.6
[] EPSRC Leadership Fellowship: Next Generation Data Security Architectures，英国工程和自然科学研究委员会 (EPSRC)杰出研究领袖基金（EP/G007586/1），2008.10-2014.3
特邀报告
Tutorials:
[] Weiqiang Liu, Jie Han, Fabrizio Lombardi, and Alberto Bosio, Approximate Computing: from Emerging Computational Paradigm to System Design and Applications, DAC Long Tutorial, Jul. 2022.
Weiqiang Liu, Jie Han, Alberto Bosio and Fabrizio Lombardi, Approximate Computing: Circuits, Systems and Applications, DATE Long Tutorial, Mar. 2022.
[] Weiqiang Liu, and Fabrizio Lombardi, Approximate Computing: from Circuits to Emerging Applications, IEEE ISCAS Half-Day Tutorial, May 2021.
[] Jie Han, Weiqiang Liu and Alberto Bosio, Approximate and Reliable Computing for Machine Learning and Safety-Critical Systems, IEEE COINS Tutorial, Aug. 2021.
Invited Talks:
[] Approximate Computing for Low Power Circuits and Systems, 6th Workshop on Approximate Computing (AxC21) conjunction with ICCAD'21, Nov. 2021.
[] 空天特色集成电路设计卓越人才培养的研究与实践，第四届半导体才智大会集成电路产业教育与培训论坛，Oct. 2021.
[] Approximate Computing for Energy Efficient Circuits and Systems, Huawei Strategy and Technology Workshop (STW), Oct. 2021.
[] Approximate Computing and Security, UKRI RISE/eFuture Worshop on Engineering Significant Difference, Jun. 2021.
[] Approximate Computing: Circuits, Applications and Security, CCF容错计算专委及CCF集成电路设计专业组走进高校活动, Jun. 2021.
[] Approximate Computing: from Circuits to Applications, University of Kentucky, Apr. 2021.
[] Configurable Strong PUF Designs and A Deception Protocol, 中国密码学会密码芯片学术会议(CryptoIC), Oct. 2020.
[] CMOS and Nano-Device based Approximate Computing for AI Hardware Acceleration, 15th IEEE Nanotechnology Materials and Devices Conference (NMDC), Oct. 2020
[] Approximate Computing and Its Application into DSP and AI Chip Design, College of Microelectronics, Hefei Institute of Technology, Sep. 2020.
[] Energy Efficient Approximate Computing IC Design, Huawei Technologies, Aug. 2020.
[] Approximate Computing for AI Chip Design, T-Head (Pingtouge Semiconductor), Mar. 2020.
[] Approximate Computing for Security and Security for Approximate Computing, CCF容错计算专委走进高校活动, Jan. 2020.
[] Approximate Computing: from Circuits to Systems, School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths (SCEEM), University of Bristol, Nov. 2019.
[] Hardware Security: Progress and Prospects, 第三届全国宇航微系统研讨会, Sep. 2019.
[] High Performance and Efficient Arithmetic for PQC, International Software and Hardware Design and Implementation Forum (SHDI), Sep. 2019.
[] Configurable PUFs and Attack Resistant Protocol, 4th National Forum on Hardware Security, CCF Chinese Fault Tolerant Computing Conference (CFTC)，Aug. 2019.
[] Approximate Computing and Its Application into Energy Efficient Circuits and Systems, Energy Efficient IC Design Forum, Southeast University, Aug. 2019.
[] Majority Logic based Approximate Computing, Invited Session on Nanotechnology based Computing, IEEE International Conference on Nanotechnology (IEEE-NANO), Jul. 2019.
[] Physical Unclonable Functions for Dependable System Security, Keynote at UK-Jiangsu Workshop on Dependable Autonomous Systems (DPAS), Apr. 2019.
[] Design and Analysis of Approximate Computer Arithmetic, 2nd China Design Automation Symposium (ChinaDA), Jan. 2019.
[] Reconfigurable Physical Unclonable Functions, School of Computer Science, Wuhan University, Jan. 2019
[] Approximate Chip Design and Chip Fingerprint for Edge Computing, 工信部“芯动力”线上课程, Oct. 2018.
[] Approximate Computing: Circuit and Algorithm Co-Design, Special Session on Approximate Computing, Asian Test Symposium (ATS), Oct. 2018.
[] The Current State and Future Development of Integrated Circuit Industry in China, 江苏省航空航天学会, Jul. 2018.
[] Physical Unclonable Functions for Edge Computing Security, School of Electronic and Engineering, Nanjing University, Jun. 2018.
[] Approximate Circuits and Systems, Institute of Circuits and Systems, Tsinghua University, Nov. 2017
[] Approximate Computing: from Circuits to Systems, National ASIC Center, Southeast University, Nov. 2017.
[] Hardware Security and Post-Quantum Cryptography Chip, 工信部“芯动力”研讨会, Aug. 2017.
[] Approximate Computing Circuits, 江苏省信息科学青年学者研讨会, Aug. 2016.
[] Physical Unclonable Functions for IoT Security, National Mobile Communications Research Laboratory, Southeast University, Mar. 2016.
教学成果
教学奖
[] 空天科技时代电子信息人才培养生态体系构建与实践，江苏省教学成果奖特等奖（高等教育类），2021年，排7
[] 信息空天融合、学术工程交叉-电子信息卓越研究生培养体系探索与实践，江苏省研究生教育改革成果一等奖，2020年，排2
[] 芯片指纹-工业互联网安全守护神，江苏省教学成果奖一等奖（实践教学类，江苏省教育厅认定），2020年，排2
[] 米密互联网+安全加密，江苏省教学成果奖二等奖（实践教学，江苏省教育厅认定），2017年，排1
[] 基于互联网突出自主性的电子技术系列课程教学模式改革与实践，江苏省教学成果奖二等奖（高等教育类），2017年，排3
[] 南京航空航天大学教学优秀奖，2020年
[] 南京航空航天大学华为奖教金，2015年
教学团队及课程
[]《电子线路》，江苏省首批一流本科课程（线下课程），2021年，排2
[]《电子线路》，国家精品在线课程，2018年，排4
[]《电子线路》，江苏省在线课程，2017年，排4
教改项目
[] 空天特色集成电路设计卓越人才培养的研究与实践，江苏省高等教育教改研究立项课题，主持，2022年1月-2023年12月
[] 集成电路设计“微专业”建设项目，南京航空航天大学本科教学建设项目（2021JG0493B），主持，2021年9月-2023年9月
[] 协同智能信息处理创新型人才培养，国家留学基金委国际创新型人才国际合作培养项目，主持，2020年1月-2022年12月
[] 空天特色电子信息博士专业学位研究生培养模式研究，南京航空航天大学研究生教改项目（2020YJXGG14），主持，2020年12月-2022年11月
[]《数字信号处理的VLSI设计》国际化精品课建设，南京航空航天大学研究生教改项目（6B041006Y），主持，2018年09月-2020年8月
[] 新工科背景下基于移动互联网的新型教学模式研究，南京航空航天大学电子信息工程学院教改项目，主持，2018年03月-2020年2月
教材、讲义及论文
[] Weiqiang Liu, Jie Han, Fabrizio Lombardi, and Alberto Bosio, 讲义Approximate
教学资源
Publication List for Reading Seminar 6B041006Y Syllabus
其他
基于互联网突出自主性的电子技术系列课程教学模式改革与实践
信息空天融合、学术工程交叉-电子信息卓越研究生培养体系探索与实践
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
国际期刊任职：
[] Steering Committee Member, IEEE Transactions on VLSI Systems, 2021.1-2022.12
[] Steering Committee Member, IEEE Transactions on Multi-Scale Computing Systems (TMSCS), 2018.1-2019.12
[] Associate Editor, IEEE Transaction on Circuits and Systems I: Regular Papers, 2020.1-2023.12
[] Associate Editor, IEEE Transactions on Emerging Topics in Computing, 2019.5-2021.4
[] Associate Editor, IEEE Transaction on Computers, 20154-2019.3
[] Associate Editor, The IEEE Open Journal of the Computer Society, 2020.5-Present
[] Associate Editor, IET Computers & Digital Techniques, 2020.11-Present
[] Guest Editor, IEEE Transactions on Circuits and Systems I: Regular Papers, Special Issue on Circuits and Systems for Emerging Computing Paradigm, Jun. 2021-Apr. 2022
[] Guest Editor, IEEE Nanotechnology Magzine, Special Issue on Approximate Computing, Deadline: Aug. 15, 2021
[] Guest Editor, Proceedings of the IEEE, Special Issue on Approximate Computing: from Device to Systems, Deadlline: Jan. 15, 2020
[] Guest Editor, Microelectronics Journal, Special Issue on Approximate Computing: Co-Design of Circuits, Architectures and Algorithms, Deadlline: Sep. 15, 2018
[] Guest Editor, IEEE Transactions on Emerging Topics in Computing, Special Issue on Cyber Security Threats and Defense Advances, Deadlline: Jun. 1, 2017, Special Issue on Emerging Technologies and Designs for Application-Specific Computing, Deadline: Mar. 15, 2016
国际会议任职：
[] Publicity Chair, 17th IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH 2021)
[] Best Paper Award Committee Member and PhD Forum Chair, IEEE Asian Hardware Oriented Security and Trust Symposium (AsianHOST 2021)
[] Program Co-Chair, IEEE 3rd International Conference on Circuits and Systems (IEEE ICCS 2021)
[] Publicity Chair, IEEE International Symposium on Smart Electronic Systems (IEEE-iSES 2021)
[] Program Chair, 2nd Information Communication Technologies Conference (ICTC 2021)
[] Program Co-Chair, IEEE Symposium on Computer Arithmetic (ARITH 2020)
[] Track Chair, Energy-Efficient, Reliable VLSI Systems (ERS) Track, IEEE International Symposium on Smart Electronic Systems (IEEE-iSES 2020)
[] Topic Session Committee Chair, 15th IEEE Nanotechnology Materials and Devices Conference (NMDC 2020)
[] Publication Chair, IEEE International Workshop on Signal Processing Systems (SiPS 2019)
[] Special Session Chair, 15th IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH 2019)
[] Program Committee Member: DAC, ARITH, DATE, ASP-DAC, ISCAS, ICCD, ASAP, ISVLSI, GLSVLSI, AICAS, AsiaHOST, NANORACH, SiPS, NMDC and ICONIP et al.
国际学会任职：
[] The 1st Representative of IEEE Computer Society to the IEEE Nanotechnology Council (Member of AdCom of NTC), Jan. 2022-Present
[]The 2nd Representative of IEEE Computer Society to the IEEE Nanotechnology Council (Member of AdCom of NTC), Feb. 2021-Dec. 2021
[] Senior Member, IEEE
[] Member, ACM SigDA East China Committee
[] Member, VLSI Systems and Applications (VSA) Technical Committee, IEEE Circuits and Systems Society
[] Member, IEEE Circuits & Systems for Communications (CASCOM) Technical Committee, IEEE Circuits and Systems Society
[] Member, IEEE Computer Society
[] Member, IEEE Circuits and Systems Society
[] Member, IEEE Nanotechnology Council
国内学术兼职：
[] 工业和信息化部商用密码应用推进专家委员会委员，2021年-2025年
[] 第一届中国计算机学会芯片大会（CCF Chip 2022）组织委员会副主席，2022年
[] 国家自然科学基金委评审专家
[] 中国电子学会高级会员
[] 中国计算机学会高级会员
[] 中国计算机学会集成电路设计与自动化学术会议（CCF-DAC）后量子密码芯片设计论坛主席，2020年
[] 第十八届中国计算机学会全国容错计算学术会议（CCF-CFTC）宣传委员会主席，2019年
[] 第六届中国航空学会中国信息融合大会组织委员会副主席，2014年
[] 中国计算机学会（CCF）容错计算专委会委员
[] 中国计算机学会（CCF）集成电路专委会委员
[] 清华大学、南京大学、东南大学、南京邮电大学等高校博士/硕士研究生答辩委员会成员
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