丁数学 博士、教授、博士生导师，2014年天津市千人计划（创新短期）入选者，2015年起兼任南开大学光学与电子信息工程学院讲座教授，博士生导师。1996年获日本东京工业大学博士学位。曾任日本会津大学终身教授，认知科学研究室主任，计算机与系统工程系主任，会津大学教育与研究审议会委员等职务。曾多年兼任日本理化学研究院脑科学研究中心客员研究员。IEEE Systems, Man & Cybernetics Society, Awareness Computing技术委员会委员及主要发起人之一。2019年3月受聘为沙巴足球（中国）股份有限公司官网人工智能学院院长全职回国工作。博士招生所在博士点为信息与通信工程。

    主要从事人工智能，机器学习，信号及图像处理，神经计算，大数据，信息通信，传感及阵列天线，MIMO系统等方面的研究。在日期间曾主持日本学术振兴会（JSPS）科学研究基金项目（相当于中国国家自然科学基金项目）4项。共发表论文126篇；其中期刊论文73篇，包括53篇SCI检索期刊论文，18篇IEEE Internet of Things Journal , IEEE Transactions on Neural Networks and Learning Systems , IEEE Transactions on Signal Processing等重要IEEE期刊论文；国际会议论文53篇，大部分是IEEE赞助的国际会议。获得2015 EEE International Conference on Digital Signal Processing (DSP 2015, July 21‐24, 2015, Singapore) 最优秀论文奖等奖。

    详细信息请参阅人工智能学院中的个人网页：

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1) IEEE，ACM，IEICE等会员.

2) Committee member of Technical Committee on Awareness Computing, in Systems, Man & Cybernetics Society, IEEE, 2009-present.

3) International Publicity Chair of 2015 IEEE International Conference on Awareness Science and Technology (iCAST 2015).

4) General Co-Chair of The 1st International Workshop on Self-Conditioned Computing, 2012.

5) General Co-Chair of 2011 IEEE International Conference on Awareness Science and Technology (iCAST 2011).

6) Publicity Committee Chair of 2nd International Symposium on Aware Computing (ISAC 2010, IEEE sponsored).

7) Program Committee Chair for The 19th Intelligent System Symposium (Fan 2009) and The 1st International Workshop on Aware Computing (IWAC2009).

8) 日本物理化学研究院，脑科学综合研究所，脑信号处理研究室，客员研究员(2003.9-2009.3).

9) 日本学术振兴会(Japan Society for the Promotion of Science, JSPS), 科学研究费基金委员会，专门委员会委员(2012.12-2013.11).

人工智能学院专业导论（本科生）

压缩感知与稀疏表现（研究生）

统计信号处理（研究生）

应用统计学（研究生）

智能化信号处理（研究生）

数字信号处理（本科生）

算法与数据结构（本科生）

[1] Huakun Huang, Shuxue Ding, Lingjun Zhao, Huawei Huang, Liang Chen, Real-Time Fault-Detection for IIoT Facilities using GBRBM-based DNN, accepted by IEEE Internet of Things Journal (Oct. 2019)

[2] Lingjun Zhao, Huakun Huang, Xiang Li, Shuxue Ding*, Haoli Zhao, and Zhaoyang Han, An Accurate and Robust Approach of Device-Free Localization with Convolutional Autoencoder, IEEE Internet of Things Journal, Vol. 6, No. 3, pp.5825-5840 (Jun. 2019, 2).

[3] Haoli Zhao, Shuxue Ding*, Xiang Li, and Huakun Huang, Lp-Norm Independently Interpretable Regularization based Sparse Coding for Highly Correlated Data, IEEE Access, Vol. 7, No. 1, pp. 53542-53554 (Apr. 2019).  

[4] Yujie Li*, Shuxue Ding, Xiang Li, Benying Tan, and Atsunori Kanemura, Residual-Network-Based Supervised Gaze Prediction for First-Person Videos, IEEE Access, Vol. 7, No. 1, pp. 56208 - 56216 (Apr. 2019).  

[5] Yujie Li, Shuxue Ding, Benying Tan, Haoli Zhao, and Zhenni Li*, Sparse Representation Based on the Analysis Model with Optimization on the Stiefel Manifold, IEEE Access, Vol. 7, No. 1, pp. 8385-8397 (Jan. 2019).

[6]  Jian Zou, Marui Shen, Haifeng Li, Guoqi Liu, and Shuxue Ding*, Total Variation Denoising with Non-convex Regularizers, IEEE Access, Vol. 7, No. 1, pp. 4422-4431 (Jan. 2019).

[7] Haoli Zhao, Shuxue Ding*, Xiang Li, and Huakun Huang, Deep Neural Network Structured Sparse Coding for Online Processing, IEEE Access, Vol. 6, No. 1, pp. 74778-74791 (Dec. 2018, 2).

[8] Benying Tan, Shuxue Ding*, Yujie Li, and Xiang Li, Nonnegative Sparse Representation of Signals with a Determinant-Type Sparsity Measure Based on the DC Programming, IEEE Access, Vol. 6, No. 1, pp. 67301-67315 (Nov. 2018).

[9] Huakun Huang, Haoli Zhao, Xiang Li, Huawei Huang, Shuxue Ding*, Zhenni Li, and Lingjun Zhao, An Accurate and Efficient Device-Free Localization Approach Based on Sparse Coding in Subspace, IEEE Access, Vol. 6, No. 1, pp. 61782-61799 (Oct. 2018, 2).

[10] Zhiyang Liu, Chen Cao, Shuxue Ding, Tong Han, Hong Wu, Sheng Liu, Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network, IEEE Access, Vol. 6, No. 1, pp. 57006 – 57016 (Oct. 2018, 6).

[11] Xiang Li, Shuxue Ding, and Benying Tan, Accurate Defect Detection in Thin-Wall Structures with Transducer Networks via Outlier Elimination, IEEE Sensors Journal, Vol. 18, No. 23, pp. 9619-9628 (Dec. 2018).

[12] Zhenni Li, Shuxue Ding, Zuyuan Yang, Shengli Xie, Proximal Alternating Minimization for Analysis Dictionary Learning and Convergence Analysis, IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 2, No. 6, pp. 439-449 (Dec. 2018).

[13] Zhenni Li, Shuxue Ding, Yujie Li, Zuyuan Yang, Shengli Xie, Wuhui Chen, Manifold Optimization-based Analysis Dictionary Learning with an L1/2-norm Regularizer Learning Systems, Neural Networks (SCI), Vol. 98, No. 2. pp. 212-222 (Feb. 2018, 6).

[14] Xiang Li, Shuxue Ding, and Yujie Li, Outlier Suppression via Non-Convex Robust PCA for Efficient Localization in Wireless Sensor Networks, IEEE Sensors Journal (SCI), Vol. 17, No. 21, pp. 7053-7063 (Nov. 2017, 2).

[15] Xiang Li, Shuxue Ding, Zhenni Li, and Benying Tan, Device-Free Localization via Dictionary Learning with Difference of Convex Programming, IEEE Sensors Journal (SCI), Vol. 17, No. 17, pp. 5599-5608 (Sept. 2017, 6).

[16] Zhenni Li, Shuxue Ding, Takafumi Hayashi, and Yujie Li, Analysis Dictionary Learning Using Block Coordinate Descent with Proximal Operators, Neurocomputing (Elsevier, SCI), Vol. 239, C, pp. 165-180 (May. 2017, 2).

[17] Zhenni Li*, Shuxue Ding, and Yujie Li, A Fast Algorithm for Learning Overcomplete Dictionary for Sparse Representation Based on Proximal Operators, Neural computation (SCI), Vol. 27, pp. 1951–1982, doi:10.1162/NECO_a_00763 (Sept. 2015, 16).

[18] Hongjuan Zhang, Guinan Wang, Pingmei Cai, Zikai Wu, and Shuxue Ding*, A Fast Blind Source Separation Algorithm Based on the Temporal Structure of Signals, Neurocomputing (Elsevier, SCI), Vol. 139, No. 9, pp. 261-271 (Sept. 2014, 8).

[19]  Zuyuan Yang, Yong Xiang, Shengli Xie, Shuxue Ding*, and Yue Rong, Nonnegative blind source separation by sparse component analysis based on determinant measure, IEEE Transactions on Neural Networks and Learning Systems (SCI), Vol. 23, No. 10, pp.1601-1610 (Oct. 2012, 36).

[20] Zuyuan Yang, Guoxu Zhou, Shengli Xie, Shuxue Ding*, Jun-Mei Yang, and Jun Zhang, Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization, IEEE Transactions on Image Processing (SCI), Vol. 20, No. 4, pp. 1112-1125 (Apr. 2011, 90).

[21] Wenlong Liu and Shuxue Ding, An Efficient Method to Determine the Diagonal Loading Factor Using the Constant Modulus Feature, IEEE Transactions on Signal Processing (SCI), Vol. 56, No.12, pp. 6102-6106 (Dec. 2008, 13).

[22] Zhaoshui He, Shengli Xie, Shuxue Ding and Andrzej Cichocki, Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation, IEEE Transactions on Audio, Speech and Language Processing (SCI), Vol.15, No.5, pp. 1551-1563 (Jul. 2007, 49).

[23] Shuxue Ding, Jie Huang, Daming Wei and Andrzej Cichocki, A Near Real-Time Approach for Convolutive Blind Source Separation, IEEE Transactions on Circuits and Systems, Part I: Regular Papers (SCI), Vol.53, No.1, pp. 114-128 (Jan. 2006).

sding@guet.edu.cn

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