导师简介-黄俊奇
姓名：黄俊奇
职称：讲师
研究方向：非精确/近似计算、随机计算、数字低功耗集成电路设计、ASIC与FPGA电路容错设计、数字图像处理、嵌入式深度学习、忆阻器存算一体设计
电子邮箱：huangjunqi[at]xmut.edu.cn (使用@替代[at])
通信地址：厦门理工学院光电与通信工程学院
教育经历：
2015-09 至 2021-08, 英国诺丁汉大学, 电气与电子工程, 博士
2012-09 至 2013-11, 香港浸会大学, 信息技术管理, 硕士
2007-09 至 2011-06, 广州大学, 电子信息科学与技术, 学士
主持科研项目：
福建省自然科学基金项目，非精确计算在集成电路及图像处理中的稳定性和可靠性研究（项目编号：2022J05290），8万元，2022-08-01至2025-08-01，主持，在研
厦门理工学院高层次人才项目，非精确容错型集成电路与FPGA在图像处理中的设计和研究（项目编号：YKJ22033R），15万元，2022-06-01至2025-05-31，主持，在研
论文著作：
[1] Junqi Huang, Kumar T. Nandha, Abbas Haider, Fabrizio Lombardi. On the Commutative Operation of Approximate CMOS Ripple Carry Adders (RCAs) [J]. IEEE Transactions on Nanotechnology, 2024, 23: 265-273.(SCI)
[2] Junqi Huang, Abbas Haider, Kumar T. Nandha, Fabrizio Lombardi. An inexact Newton method for unconstrained total variation-based image denoising by approximate addition [J]. IEEE Transactions on Emerging Topics in Computing, 2022, 10(2): 1192-1207.(SCI)
[3] Junqi Huang, Kumar T Nandha, Abbas Haider, Lombardi Fabrizio. A Deterministic Low-Complexity Approximate (Multiplier-Less) Technique for DCT Computation [J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2019, 66(8): 3001-3014.(SCI)
[4] Junqi Huang, Kumar T Nandha, Abbas Haider, Lombardi Fabrizio. Approximate Computing using Frequency Upscaling [J]. IET Circuits, Devices & Systems, 2019, 13(7): 1018–1026.(SCI)
[5] Shen Luan, Xingen Gao , Chen Wang, Hongyi Zhang, Fei Chao, Juqiang Lin, Junqi Huang, Huali Jiang, Feng Lin. CrackF-Net: a pixel-level segmentation network for pavement crack detection [J]. Journal of Electronic Imaging, 2023, 32(6): 063002.(SCI)
[6] Junqi Huang, Kumar T. Nandha, Abbas Haider. Voltage over Scaling for Approximate Newton Method in Total Variation-based Image Denoising [C]// 2023 8th International Conference on Integrated Circuits and Microsystems (ICICM), Nanjing, China, IEEE, 2023: 105-111.(EI)
[7] Junqi Huang, Kumar T. Nandha, Abbas Haider. Approximate Newton method using frequency upscaling for total variation-based image denoising [C]// 2023 IEEE 3rd International Conference on Computer Systems (ICCS), Qingdao, China, IEEE, 2023: 85-90.(EI)
[8] Junqi Huang, Abbas Haider, Kumar T. Nandha, Fabrizio Lombardi. Approximate Computing in Image Compression and Denoising [M]//Weiqiang Liu , Fabrizio Lombardi. Approximate Computing. Cham; Springer International Publishing. 2022: 531-562.(Book section)
[9] Junqi Huang, Kumar T Nandha, Abbas Haider, Lombardi Fabrizio. Commutative Approximate Adders: Analysis and Evaluation [C]// 2021 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), AB, Canada, IEEE, 2021: 1-6.(EI)
[10] Junqi Huang, Kumar T Nandha, Abbas Haider. Generic Expressions for Early Estimation of Performance of Binary Multipliers [C]// 2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Kota Kinabalu, Malaysia, IEEE, 2021: 1-6.(EI)
[11] Junqi Huang, Kumar T. Nandha, Abbas Haider. Zigzag low-complexity approximate DCT using frequency upscaling technique [C]// Journal of Physics: Conference Series, Perlis, Malaysia, IOP Publishing, 2021: 012050.(EI)
[12] Junqi Huang, Kumar T Nandha, Abbas Haider. Simulation-Based Evaluation of Approximate Adders for Image Processing Using Voltage Overscaling Method [C]// 2020 IEEE 5th International Conference on Signal and Image Processing(ICSIP), Nanjing, China, IEEE, 2020: 499-505.(EI)
[13] Junqi Huang, Kumar T Nandha, Abbas Haider. General Expressions for Performance Evaluation of Binary Adders [C]// 2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Phuket, Thailand, IEEE, 2020: 357-363.(EI)
[14] Junqi Huang, Kumar T Nandha, Abbas Haider. A promising power-saving technique: Approximate computing [C]// 2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), Penang, Malaysia, IEEE, 2018: 285-290.(EI)
[15] Junqi Huang, Kumar T Nandha, Abbas Haider, Lombardi Fabrizio. Simulation-based evaluation of frequency upscaled operation of exact/approximate ripple carry adders [C]// 2017 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), Cambridge, UK, IEEE, 2017: 1-6.(EI)
