职称：研究助理教授
研究方向：计算机视觉, 模式识别, 深度学习, 生物特征识别
Email：saadshakeel@fyust.edu.cn
穆罕默德·萨阿德·沙基尔（Muhammad Saad Shakeel）现任福耀科技大学计算与人工智能学院研究助理教授。他的研究兴趣主要包括计算机视觉、模式识别、深度学习和生物特征识别。
他于2019年获得香港理工大学电子与信息工程博士学位。在博士学习期间，他还曾担任兼职教学助理，主要负责《计算机视觉与模式识别》课程的实验教学与指导工作。2019年至2022年期间，他在广东石油化工学院自动化学院担任科研人员。随后，他于2022年至2026年在华南理工大学从事博士后研究工作。
Dr. Shakeel已在多个国际知名期刊和会议上发表20余篇学术论文，包括 Pattern Recognition (PR)、IEEE Transactions on Instrumentation and Measurement (TIM)、IEEE Transactions on Information Forensics and Security (TIFS)、IEEE Transactions on Industrial Informatics (TII)、IEEE Transactions on Circuits and Systems for Video Technology (TCVST)、Journal of Visual Communication and Image Representation (JVCI)、International Joint Conference on Biometrics (IJCB)、Chinese Conference on Pattern Recognition and Computer Vision (PRCV) 以及 ACM Multimedia Asia (ACM MM Asia) 等。
2025年，他主持了国家自然科学基金委员会（NSFC）国际（地区）合作与交流项目中的国际青年科学家项目。此外，他还受邀担任多个国际期刊和学术会议的审稿人，包括 Pattern Recognition (PR)、Journal of Visual Communication and Image Representation (JVCI)、Chinese Conference on Biometric Recognition (CCBR) 以及 Pattern Recognition and Computer Vision (PRCV)。
Education and Work Experience:
March 2019, The Hong Kong Polytechnic University, Hong Kong, China, PhD
July 2015, South China University of Technology, Guangzhou, China, Masters of Engineering.
March 2012, The University of the Punjab, Lahore, Pakistan, Bachelors of Electrical Engineering
教育及工作经历：
2019年3月，香港理工大学，中国香港，电子与信息工程博士
2015年7月，华南理工大学，中国广州，工程硕士
2012年3月，旁遮普大学，巴基斯坦拉合尔，电气工程学士
Research-related Work Experience:
Sep 2026 – Present, Fuyao University of Science and Technology, School of Computing and Artificial Intelligence, Research Assistant Professor
Aug 2022 – Aug 2026, South China University of Technology, School of Automation Science and Engineering, Postdoctoral Research Fellow
Sep 2019 – July 2022, Guangdong University of Petrochemical Technology, School of Automation, Scientific Researcher
科研工作经历：
2026年9月–至今，福耀科技大学, 计算与人工智能学院，研究助理教授
2022年8月–2026年8月，华南理工大学, 自动化科学与工程学院，博士后研究人员
2019年9月–2022年7月，广东石油化工学, 自动化学院, 科研人员
Academic Achievements 学术成果
Research Journal Papers (*Corresponding Author) *科研论文（表示通讯作者）
l K. Liu, H. Xie, W. Kang, W. Sun, and M. Saad Shakeel*, MFTSGait: Multi-Frame Temporal Shift and Multi-Scale Temporal Aggregation for Lightweight Gait Recognition,” IEEE Transactions on Biometrics, Behavior, and Identity Science (IEEE-TBIOM), August 2026. 10.1109/TBIOM.2026.3723837. (IF: 4.4, JCR Q2)
l M. Marium, A. Mahmood*, M. H. Khan, M. Saad Shakeel, and W. Kang, “Enhancing GNN learning with node augmentation,” Neural Networks, vol. 204, Dec. 2026. (10.1016/j.neunet.2026.109228) (JCR Q1)
l W. Wu, K. Liu, M. Saad Shakeel, and W. Kang*, “Fine-Grained Spatial-Temporal Modeling for Point-based Gait Recognition,” Machine Intelligence Research, 2026. (Accepted) In Press (IF: 8.7) JCR Q1, CAS 1 区
l M. Saad Shakeel*, “IFLM: Interactive Feature Learning Framework for Mask-Occluded Face Recognition,” Pattern Analysis and Applications, vol. 29, no. 31, 2026. (JCR Q2)
l M. Saad Shakeel, K. Liu*, X. Liao, and W. Kang, “TAG: A Temporal AttentiveGait Network for Cross-View Gait Recognition,” IEEE Trans. Instrumentation and Measurement, vol. 74, 2025. 10.1109/TIM.2024.3497164 JCR Q1, CAS 2 区 (SCIE IF: 5.9)
l D. Luo, J. Huang, W. Yang, M. Saad Shakeel, and W. Kang*, RSNet: Region-Specific Network for Contactless Palm-Vein Authentication,” IEEE Transactions on Information Forensics and Society (TIFS), vol. 20, 2025. (JCR Q1)
l M. Saad Shakeel*, “CAAM: A Calibrated Augmented Attention Module for Masked Face Recognition,” Journal of Visual Communication and Image Representation, vol. 104, 104315, Oct. 2024. (JCR Q2)
l M. S. Shakeel*, and Kin-man Lam, “Deep Feature Encoding-based Discriminative Model for Age-invariant Face Recognition, Pattern Recognition, vol. 93, pp. 442-457, Sept 2019. (SCIE IF: 7.5) JCR Q1, CAS 1 区
l M. Saad Shakeel*, Y. Zhang, X. Wang, W. Kang, A. Mahmood, Multi-scale Attention-Guided Network for End-to-End Face Alignment and Recognition, Journal of Visual Communication and Image Representation, vol. 88, 2022, 103628. (SCIE IF: 2.678)
l Y. Zhang, X. Wang, M. Saad Shakeel, W. Kang, Learning Upper-Patch Attention using Dual-branch training strategy for Masked Face Recognition, Pattern Recognition, 108522, 2022. (SCIE IF: 7.5) JCR Q1, CAS 1 区
l M. S. Shakeel*, and Kin-man Lam, “Deep low-rank Feature learning and encoding for cross-age Face Recognition, Journal of Visual Communication and Image Representation, vol. 82, 2021, 103423. (SCIE IF: 2.678)
l M. S. Shakeel*, Kin-man Lam and S-C. Lai, “Learning sparse discriminant low-rank features for low-resolution face recognition, Journal of Visual communication and image representation, vol. 63, August 2019. (SCIE IF: 2.678)
l J. Huang, A. Zheng, M. Saad Shakeel, W. Yang, W. Kang, FVFSNet: Frequency-spatial coupling network for finger vein authentication, IEEE Transactions on Information Forensics and Security, vol. 18, 2023, pp. 1322-1334. (SCIE IF: 6.8) JCR Q1, CAS 1 区
l W. Tang, S. Chen, M. Wang, M. Saad Shakeel, J. Jin, W. Kang, W. Lin, Adaptive positive sample selection and dynamic soft label assignment for keypoint detection, IEEE Transactions on Circuits and Systems for Video Technology, 2024. (DOI: 10.1109/TCSVT.2024.3434563) (SCIE IF: 8.3) JCR Q1, CAS 1 区
l W. Tang, M. Saad Shakeel, Z. Chen, H. Wan, W. Kang, “Target-Category Agnostic Knowledge Distillation with Frequency Domain Supervision,” IEEE Transactions on Industrial Informatics, vol. 19, no. 7, 2022, pp. 8462-8471. (SCIE IF: 12.3) JCR Q1, CAS 1 区
l W. Tang, K. Liu, M. Saad Shakeel, H. Wang, W. Kang, “DDAD: Detachable Crowd Density Estimation Assisted Pedestrian Detection,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no.2, 2022, pp. 1867-1878. (SCIE IF: 7.9) JCR Q1, CAS 1 区
Conference Papers (*Corresponding Author) *会议论文（表示通讯作者）
l K. Liu, J. Wu, M. Saad Shakeel*, H. Xie, W. Sun, and W. Kang, “CoRe-Gait: Codebook-Driven Dual-Task learning for Robust Cross-Domain Gait Recognition,” IEEE International Joint Conference on Biometrics (IJCB), 2026. (Accepted) (CCF-C)
l K. Liu, Z. Chen, X. Suo, M. Saad Shakeel*, and W. Kang, DynamicGait: Dynamic Saliency and Structure-Motion Collaborative Learning for Gait Recognition,” Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2026. (Accepted) (CCF-C) (Acceptance rate: 28%)
l M. Marium, A. Mahmood, M. H. Khan, M. Saad Shakeel, and W. Kang, “Diffusion-Guided Graph Data Augmentation,” in Proc. NeurIPS 2025. (Accepted)
l K. Liu, X. Liao, Z. Zhou, W. Kang, W. Sun, and M. Saad Shakeel*, DeepSNNGait: A Spiking Neural Network Framework for Robust Gait Recognition,” in Proc. Chinese Conference on Biometric Recognition (CCBR), 2025.
l M. Saad Shakeel*, K. Liu, X. Liao, and W. Kang, “MRGait: A Multi-range feature learning framework for Cross-View Gait Recognition,” in Proc. 6th ACM Multimedia Asia (ACMM Asia) Conference, Dec. 2024.
l M. Saad Shakeel*, BAM: A Bidirectional Attention Module for Masked Face Recognition, in Proc: IEEE International Conference on Visual Communication and Image Processing (VCIP), 2022.
l H. Fu, W. Kang*, Y. Zhang, M. Saad Shakeel, “Fusion of gait and face for human identification at the feature level,” in Proc: Chinese Conference on Biometric Recognition (CCBR), 2022, pp. 475-483.
l M. Saad. Shakeel*, and Kin-man Lam, “Recognition of low-resolution face images using sparse coding of local features, in: Proceedings of Asia-Pacific signal and information processing association annual summit and conference (APSIPA), 2016, pp. 1-5.
l M. Saad. Shakeel, and W. Kang*, “Efficient blind image deblurring method for palm-print images,” in: IEEE International Conference on Identity security and behavioral analysis (ISBA), 2015, pp. 1-7.
Research Projects
l National Natural Science Foundation of China Research Fund for International Young Scientists, “Human Gait Recognition in the Aerial Domain”, Project No: W2433155, 2025.01 – 2025.12. (Principal Investigator)
l International Science and Technology Cooperation Project, “Research and Application of an Efficient and Secure Edge Intelligence System for Traffic Checkpoints”, Project No: 2023GH16, 01. 2024 – 12. 2025. (Participant)
科研项目
国家自然科学基金国际（地区）合作与交流项目——国际青年科学家研究基金
“Human Gait Recognition in the Aerial Domain（空中域人体步态识别）”，项目编号：W2433155，2025年1月–2025年12月。项目负责人
国际科技合作项目 “Research and Application of an Efficient and Secure Edge Intelligence System for Traffic Checkpoints（高效安全的交通卡口边缘智能系统研究与应用）”，项目编号：2023GH16，2024年1月–2025年12月。项目参与人
荣誉与奖励
获得香港理工大学教学研究生奖学金（Teaching Postgraduate Studentship），用于支持博士阶段学习，2015–2018年。
获得中国政府奖学金（Chinese Government Scholarship），用于支持硕士阶段学习，2013–2015年。
因本科阶段优异的学业表现，获得巴基斯坦旁遮普大学奖学金。
因硕士阶段优异的学业表现，获得华南理工大学优秀毕业生奖。
获得2016年研究海报竞赛冠军（Champion），该竞赛由香港理工大学电子及资讯工程学系组织。
Part-time Positions:
Nov. 2016 – May. 2017, Teaching Assistant, The Hong Kong Polytechnic University.
兼职工作经历：
2016年11月–2017年5月，香港理工大学，教学助理
