学术带头人-张煜东教授
时间:  2017-05-31 22:38:29  | 浏览: 684


    
    张煜东博士:2004年9月于南京航空航天大学获得信息工程学士学位,2007年3月于南京航空航天大学获得信息科学与技术硕士学位,2010年1月于东南大学获得信息科学与工程博士学位。2010年4月-2012年3月在哥伦比亚大学磁共振实验室从事影像重建与分析方面的博士后研究。2012年4月-2013年3月在哥伦比亚大学、纽约长老会医院附属精神病研究所担任研究科学家。2013年破格聘为南京师范大学特聘教授。2014年破格评为正教授。目前任南京师范大学硕士生导师,校百人计划入选者。

    2014年张煜东博士与其合作者,提出一种新的自闭症亚型,发表在Jama Psychiatry上,该文被路透社、每日新闻网专访。2014年入选Elsevier发布的“中国高被引学者(计算机科学)”。张煜东博士担任中国仪器仪表学会微型计算机应用分会理事。

    在三维打印领域,张博士今年来主要从事三维影像处理、模式识别、机器学习等方面研究。在期刊JAMA Psychiatry (IF: 12.008), Information Sciences (4.038), NMR in biomedicine (3.044), Knowledge-based Systems (2.947), Food Research International (2.818), Journal of Food Engineering (2.771), Basic & Clinical Pharmacology & Toxicology (2.377), Sensors (2.245), Expert Systems with Applications (2.240), Frontiers in Computational Neuroscience (2.201), Pattern Recognition Letters (1.551), Entropy (1.502), Biomedical Signal Processing and Control (1.419)等发表60多篇SCI论文(其中第一/通信作者50篇),12篇EI论文,出版英文独著1部,英文图书章节10篇。登记软件著作权8项。截至2015年7月底,论文在Google数据库中引用2196次,h指数28。在SCI/SCIE数据库中引用334次,h指数11。

    张煜东博士现受邀担任下列4份SCI期刊常任编委:”Scientia Iranica (IF: 1.025)”, “Journal of Computer Information Systems (IF: 0.722)”, “Fundamenta Informaticae (IF: 0.717)”, and “Maejo International Journal of Science and Technology (IF: 0.367)”。受邀担任下列SCI期刊副编委:”Neurocomputing (IF: 2.083)”。

    曾/现受邀担任下列3份SCI期刊客座主编:”Sensors (IF: 2.245)”, “Mathematical Problems in Engineering (IF: 0.762)”, ”SIMULATION: Transactions of The Society for Modeling and Simulation International (IF: 0.818)”。现担任下列SCI期刊客座编委:”Neural Network World (IF: 0.479)”。现担任Pubmed期刊World Journal of Radiology编委。

    张煜东博士担任2014 2nd International Conference on Computer Software, Data Handling and Applications (CSDHA 2014)会议主席。担任2013 International Conference on Systems Control, Simulation and Modeling (ICSCSM'13)荣誉主席。担任2012 International Conference of Electrical and Electronics Engineering (ICEE2012)程序主席。担任2014 International Conference on Artificial Intelligence and Data Mining (AIDM2014)分会主席。担任英国伦敦举办的国际会议Science and Information Conference 2015,与印度举办的国际会议4th International Conference on Advances in Computing, Communication and Control (ICAC3 2015)的程序委员。担任多个境内国际会议的程序委员。其事迹被收入《中华名人录》、《Chinese Who’s Who》等。

    目前主持并参与南京师范大学高层次人才科研启动基金项目各一项,作为主要人员参与多项国家自然科学基金面上项目,主持一项江苏省自然科学基金青年基金项目。作为主要人员参与两项美国国立卫生研究院项目。

 

部分SCI论文

 

[1]     Suzanne Goh, Zhengchao Dong, Yudong Zhang, Salvatore DiMauro, Bradley S. Peterson*. “Mitochondrial Dysfunction as a Neurobiological Subtype of Autism Spectrum Disorder: Evidence from Brain Imaging”. JAMA Psychiatry. 2014, 71(6): 665-671 (IF: 12.008)

[2]     Yudong Zhang*, Zhengchao Dong, Preetha Phillips, Shuihua Wang, Genlin Ji, Jiquan Yang. Exponential Wavelet Iterative Shrinkage Thresholding Algorithm for Compressed Sensing Magnetic Resonance Imaging [J]. Information Sciences. 2015, doi: 10.1016/j.ins.2015.06.017 (IF: 4.038)

[3]     Zhengchao Dong*, Yudong Zhang, Feng Liu, Yunsuo Duan, Alayar Kangarlu, Bradley Peterson. Improving the Spectral Resolution and Spectral Fitting of 1H MRSI Data from Human Calf Muscle by the SPREAD Technique [J]. NMR in Biomedicine. 2014, 27(11): 1325-1332 (IF: 3.044)

[4]     Yudong Zhang*, Shuihua Wang, Preetha Phillips, Genlin Ji. Binary PSO with Mutation Operator for Feature Selection using Decision Tree applied to Spam Detection [J]. Knowledge-Based Systems. 2014, 64: 22-31 (IF: 2.947)

[5]     Yudong Zhang*, Lenan Wu, Shuihua Wang, Genlin Ji. Comment on 'Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review (Food Research International; 2014, 62: 326-343)’. Food Research International. 2015, 70: 142 (IF: 2.818)

[6]     Yudong Zhang*, Shuihua Wang, Genlin Ji, Preetha Phillips. Fruit classification using computer vision and feedforward neural network [J]. Journal of Food Engineering. 2014, 143: 167-177 (IF: 2.771)

[7]     Yudong Zhang*, Zhengchao Dong, Jiquan Yang, Genlin Ji, Shuihua Wang*, Qiong Wang, Chunmei Feng. A review of Magnetic Resonance Imaging for neuropharmacology [J]. Basic & Clinical Pharmacology & Toxicology. 2015. (Accept) (IF: 2.377)

[8]     Yudong Zhang, Lenan Wu*. Crop Classification by forward neural network with adaptive chaotic particle swarm optimization [J]. Sensors. 2011, 11(5): 4721-4743 (IF: 2.245)

[9]     Yudong Zhang*, Lenan Wu, N Neggaz, Shuihua Wang, Geng Wei. Remote-sensing Image Classification Based on an Improved Probabilistic Neural Network [J]. Sensors. 2009, 9(9): 7516-7539 (IF: 2.245)

[10]  Yudong Zhang*, Zhengchao Dong, Lenan Wu, Shuihua Wang. A hybrid method for MRI brain image classification [J]. Expert Systems with Applications. 2011, 38(8): 10049-10053 (IF: 2.240)

[11]  Yudong Zhang*, Lenan Wu. Stock Market Prediction of S&P 500 via combination of improved BCO Approach and BP Neural Network [J]. Expert systems with applications. 2009, 36(5): 8849-8854 (IF: 2.240)

[12]  Yudong Zhang*, Zhengchao Dong, Preetha Phillips, Shuihua Wang, Genlin Ji, Jiquan Yang*, Tifei Yuan. Detection of subjects and brain regions related to Alzheimer’s disease using 3D MRI scans based on eigenbrain and machine learning. Frontiers in Computational Neuroscience. 2015, 9(66): 1-15, doi: 10.3389/fncom.2015.00066 (IF: 2.201)

[13]  Yudong Zhang*, Zhengchao Dong, Genlin Ji, Shuihua Wang. Effect of Spider web plot in MR brain image classification [J]. Pattern Recognition Letters. 2015, 62: 14-16 (IF: 1.551)

[14]  Yudong Zhang*, Zhengchao Dong, Shuihua Wang, Genlin Ji, Jiquan Yang. Preclinical Diagnosis of Magnetic Resonance (MR) Brain Images via Discrete Wavelet Packet Transform with Tsallis Entropy and Generalized Eigenvalue Proximate Support Vector Machine (GEPSVM) [J]. Entropy. 2015, 17, 1795-1813 (IF: 1.502)

[15]  Yudong Zhang, Lenan Wu*. Optimal multi-level Thresholding based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach [J]. Entropy. 2011, 13(4): 841-859 (IF: 1.502)

[16]  Yudong Zhang*, Shuihua Wang*, Preetha Phillips, Zhengchao Dong, Genlin Ji, Jiquan Yang, Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC [J]. Biomedical Signal Processing and Control. 2015, 21: 58-73 (IF: 1.419)

[17]  Gelan Yang, Yudong Zhang*, Jiquan Yang, Genlin Ji, Zhengchao Dong, Shuihua Wang, Chunmei Feng, Qiong Wang. Automated Classification of Brain Images Using Wavelet-Energy and Biogeography-based Optimization [J]. Multimedia Tools and Applications. 2015, doi: 10.1007/s11042-015-2649-7. (IF: 1.346)

[18]  Shuihua Wang, Yudong Zhang*, Zhengchao Dong, Sidan Du*, Genlin Ji, Jie Yan, Jiquan Yang, Qiong Wang, Chunmei Feng, Preetha Phillips. Feed-forward Neural Network Optimized by Hybridization of PSO and ABC for Abnormal Brain Detection [J]. International Journal of Imaging Systems and Technology. 2015, 25(2): 153-164  (IF: 1.301)

[19]  Yudong Zhang*, Lenan Wu, Geng Wei, Shuihua Wang. A novel algorithm for all pairs shortest path problem based on matrix multiplication and pulse coupled neural network [J]. Digital Signal Processing. 2011, 21(4): 517-521 (IF: 1.256)

[20]  Yudong Zhang*, Lenan Wu. Improved Image Filter based on SPCNN [J], Science in China F edition: Information Science, 2008, 51(12): 2115-2125 (IF: 0.850)

[21]  Yudong Zhang, Lenan Wu*, Geng Wei. Color Image Enhancement based on HVS and PCNN [J]. Science China Information Sciences. 2010, 53 (10): 1963-1976 (IF: 0.850)

[22]  Yudong Zhang*, Bradley Peterson, Genlin Ji and Zhengchao Dong. Energy Preserved Sampling for Compressed Sensing MRI [J]. Computational and Mathematical Methods in Medicine, 2014, doi:10.1155/2014/546814 (IF: 0.766)

[23]  Yi Sun*, Qiaoyan Wen, Yudong Zhang, and Wenmin Li. Privacy-Preserving Self-Helped Medical Diagnosis Scheme Based on Secure Two-Party Computation in Wireless Sensor Networks [J]. Computational and Mathematical Methods in Medicine. 2014, vol. 2014, 9 pages, 2014. doi:10.1155/2014/214841 (IF: 0.766)

 

部分图书章节

 

[24]  Yudong Zhang*, Lenan Wu, Shuihua Wang, Yuankai Huo, Chaotic Artificial Bee Colony Used for Cluster Analysis, in Intelligent Computing and Information Science, Pt I, R. Chen, Editor 2011, Springer-Verlag Berlin: Berlin. p. 205-211. (ISBN: 978-3-642-18128-3)

[25]  Yudong Zhang*, Lenan Wu. Recursive Structure Element Decomposition Using Migration Fitness Scaling Genetic Algorithm, in Advances in Swarm Intelligence, Pt I, Y. Tan, et al., Editors. 2011, Springer-Verlag Berlin, Heidelberger Platz 3, D-14197 Berlin, Germany. p. 514-521. (ISBN: ISBN: 978-3-642-21515-5)

[26]  Yudong Zhang*, Genlin Ji, Shuihua Wang, Preetha Phillips, William Wang, Elizabeth Lee. An Improved GA for solving multiple depot VRP. In Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference, Lin Yang and Mingquan Zhao, Editors. Atlantis Press, Paris, p. 551-554. (ISBN: 978-94-62520-54-7)

[27]  Shuihua Wang, Yi Chen, Yudong Zhang*, Zhengchao Dong, Elizabeth Lee, Preetha Phillips. 3D-DWT Improves Prediction of AD and MCI. In Proceedings of the First International Conference on Information Science and Electronic Technology, Juan Ding, Editors. Atlantis Press, Paris. p. 60-63. (ISBN: 978-94-62520-50-9)

[28]  Shuihua Wang, Genlin Ji, Preetha Phillips, Zhengchao Dong, Yudong Zhang*. Application of genetic algorithm and kernel support vector machine to pathological brain detection in MRI Scanning. In: The 2nd National Conference on Information Technology and Computer Science (CITCS2015), Ally Hu, Editors. DEStech Publications, Inc. p. 450-456. (ISBN: 978-1-60595-229-1)

[29]  Yudong Zhang*, Shuihua Wang, Genlin Ji, Zhengchao Dong, Jie Yan. Preliminary Research on Combination of Exponential Wavelet and FISTA for CS-MRI. in Bioinformatics and Biomedical Engineering. vol. 9043, F. Ortuño and I. Rojas, Eds., ed: Springer International Publishing, 2015, pp. 175-182. (ISBN: 978-3-319-16482-3, 978-3-319-16483-0)

[30]  Xingxing Zhou, Shuihua Wang, Wei Xu, Genlin Ji, Preetha Phillips, Ping Sun, Yudong Zhang*. "Detection of Pathological Brain in MRI Scanning Based on Wavelet-Entropy and Naive Bayes Classifier," in Bioinformatics and Biomedical Engineering. vol. 9043, F. Ortuño and I. Rojas, Eds., ed: Springer International Publishing, 2015, pp. 201-209. (ISBN: 978-3-319-16482-3, 978-3-319-16483-0)

[31]  Guang-Shuai Zhang, Qiong Wang, Chunmei Feng, Elizabeth Lee, Genlin Ji, Shuihua Wang, Yudong Zhang*, Jie Yan. “Automated Classification of Brain MR Images using Wavelet-Energy and Support Vector Machines”, in Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering. Liu Chang, Chang Guiran, Luo Zhen Eds., Atlantis Press, 2015, pp. 683-686. (ISBN: 978-94-62520-62-2)

[32]  Shuihua Wang, Yudong Zhang*, Genlin Ji. “Application of TS-PSO to Face Pose Estimation”. In Proceedings of the 2014 Asia-Pacific Computer Science and Application Conference, Ally Hu Eds., CRC Press, 2014, pp. 281-285. (ISBN: 978-1-13-802811-1)

[33]  Xingxing Zhou, Yudong Zhang*, Genlin Ji, Shuihua Wang. “Wavelet-entropy based Detection of Pathological Brain in MRI scanning”. In Proceedings of the 2014 Asia-Pacific Computer Science and Application Conference, Ally Hu Eds., CRC Press, 2014, pp. 380-384 (ISBN: 978-1-13-802811-1)

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