相册


基本信息 The basic information
姓名: 赵越

学院: 软件学院


学历: 博士研究生毕业

学位: 哲学博士


职称: 副教授

职务:


学科:





工作经历 Work Experience
2020.9- 目前 副教授， 软件学院, 西北工业大学，太仓，江苏，中国
2018.5- 2020.9 讲师，硕士生导师 ，计算机工程与科学学院，上海大学, 上海，中国
2016.5- 2018.5 Research Fellow, 美国国立卫生研究院（NIH），马里兰，美国
2015.5- 2016.5 博士后, 美国国立卫生研究院（NIH），马里兰，美国
2009.6-2011.8 软件研发工程师, LG 电子（中国）研发中心，北京，中国
2008.11-2009. 6 实习, LG 电子（中国）研发中心，北京，中国



教育经历 Education Experience
2011.8 - 2015.5 博士. 美国阿肯色大学-小石城 （世界大学排名：458，2015上海交大世界500强大学排名），计算机科学系 （全美50所最具创新力的计算机系之一，源自http://www.computersciencedegreehub.com/50-innovative-computer-science-departments/）
导师 : Dr. Kenji Yoshigoe
专业: 计算机科学. GPA: 3.87/4.0
2006.9 -2009.6 硕士, 吉林大学，计算机科学与技术学院
导师 : Dr. 刘衍珩
专业：计算机应用
2002.9 -2006.7 学士, 吉林大学，计算机科学与技术学院
专业：计算机科学与技术



教育教学 Education And Teaching
讲授，课程：大数据技术基础，上海大学，计算机工程与科学学院，2020秋，2019秋
讲授，课程：计算机网络，上海大学，计算机工程与科学学院， 2020秋，2019秋
助教，课程：计算机组成原理，美国阿肯色大学（小石城校区），计算机科学系， 2014 秋
助教，课程：电讯及网络，美国阿肯色大学（小石城校区），计算机科学系，2014 春
助教，课程：分布式计算，美国阿肯色大学（小石城校区），计算机科学系，2013秋



科学研究 Scientific Research
研究方向：
大数据分析，高性能计算，分布式并行计算

科研项目：

教育部产学合作协同育人联合实验室建设项目“大规模分布式计算联合实验室” 主持 2020.11- 2021.11。
重大横向项目“基于大数据技术的电池运行状态评估软件及技术服务”进校经费：100万元人民币。主持 2020.5- 2020.9。
上海市优秀青年教师资助项目，主持 2020- 2022。
National Science Found (USA)， CRI: II-EN: Stream Computing for Research and Education in Science and Engineering, 参与, 2011 -2013
National Science Found (USA)， Collaborative Research: Cyberinfrastructure for Transformational Scientific Discovery in Arkansas and West Virginia (CI TRAIN), 参与，2011 -2015
National Science Found (USA)， Development of an Interdisciplinary Arkansas Emulation Laboratory , 参与, 2013 -2015
National Science Found (USA)， RII: Arkansas ASSET Initiative , 参与, 2012 -2013




学术成果 Academic Achievements
Jianjia Wang, Hui Wu, Mingrui Li, and, Y. Zhao*. "Microcanonical and Canonical Ensembles for fMRI Brain Networks " Entropy, SCI Indexed. (IF= 2.5058) （minor edit）
Y. Zhao, K. Yoshigoe, J. Bian, M. Xie, Y. Feng, and Z. Xue. “A Distributed Graph-Parallel Computing System with Lightweight Communication Overhead”, IEEE Transactions on Big Data (IEEE TBD). DOI: 10.1109/TBDATA.2016.**. (overall acceptance rate = 19%)
Y. Zhao, C. Yang, V. Raghuram, J. Parulekar, and M. Knepper. "BIG: A large-scale data integration tool for renal physiology", American Journal of Physiology - Renal Physiology (AJP - Renal). DOI: 10.1152/ajprenal.00249.2016. SCI Indexed. (IF=3.611) (The total pageviews of BIG is 2000+ since Jul 30, 2017. The visitors and users come from 20 countries distributed all over the world. BIG was used as a central tool and cited by a paper that is published on PNAS. Dr. Peter Agre (2003 Nobel Prize Winner in Chemistry), the Editor of PNAS, conducted the initial review and edit of that paper.) (Q2, overall acceptance rate = 25%) (Medicine类 8 / 100)

Shi H, Zhao Y*, Zhang B, et al. Effective Parallel Computing via a Free Stale Synchronous Parallel Strategy[J]. IEEE Access, SCI Indexed. (IF=4.098) 2019, 7: 118764-118775.Mengji J, Zhao Y*, Zhang B, et al. “A Random Forest Regression Model Predicting the Winners of Summer Olympic Events” Proceedings of the 2020 International Conference on Big Data Engineering (ACM BDE 2020), May , 2020 Shanghai.Y.Zhao, K. Yoshigoe, M. Xie, R. Seker, and J. Bian, “L-PowerGraph: A Lightweight Distributed Graph-Parallel Communication Mechanism” The Journal of Supercomputing (TJSC). (CCF recommended) (2018). https://doi.org/10.1007/s11227-018-2359-9 SCI Indexed. (IF= 1.326)
Zhao Y, Yoshigoe K, Li H, et al. Reducing the synchronizing communication overhead for distributed graph-parallel computing[J]. Intelligent Data Analysis （IDA）, 2019, 23(2): 313-332. SCI Indexed. (CCF 推荐)
Y. Zhao, K. Yoshigoe, and M. Xie, "Pre-execution Data Prefetching with I/O Scheduling," The Journal of Supercomputing (TJSC), 10.1007/s11227-013-1060-2. SCI Indexed. (IF= 1.326) (CCF 推荐)
Hang Shi, Yue Zhao*, Bofeng Zhang, Kenji Yoshigoe, and Athanasios V.Vasilakos, "A Free Stale Synchronous Parallel Strategy for Distributed Machine Learning" Proceedings of the 2019 International Conference on Big Data Engineering (ACM BDE 2019), June 11-13, 2019 Hong Kong.
Saethang, T., Hodge, K., Yang, C. R., Zhao, Y., Kimkong, I., Knepper, M. A., & Pisitkun, T. (2019). PTM-Logo: a program for generation of sequence logos based on position-specific background amino-acid probabilities. Bioinformatics. SCI Indexed. (IF=4.531) （Q1, Top）
Y. Zhao, K. Yoshigoe, M. Xie, S. Zhou, R. Seker, and J. Bian “LightGraph: Lighten Communication in Distributed Graph-Parallel Processing” Proceedings of the 3rd IEEE Congress in Big Data (IEEE Big Data Congress 2014). EI Indexed. (acceptance rate = 35.8%)
Y. Zhao, K. Yoshigoe, and M. Xie, "Pre-execution Data Prefetching with Inter-thread I/O Scheduling," Proceedings of the 2013 International Supercomputing Conference (ISC 2013), Springer Lecture Notes in Computer Science (LNCS), volume 7905, June 2013. EI Indexed.(acceptance rate = 29.6%)
Y. Zhao, K. Yoshigoe, M. Xie, S. Zhou, R. Seker, and J. Bian, “Evaluation and Analysis of Distributed Big Data Processing Frameworks.” Journal of Cyber Security and Mobility – Special Issue on Big Data Theory and Practice. 2014;3(3):289-316. doi: 10.13052/jcsm2245-1439.333. EI Indexed.
Y. Zhao and K. Yoshigoe, "Hiding I/O Latency with Parallel Pre-execution Prefetching," Proceedings of International Conference on Parallel and Distributed Computing and Systems, pp. 162 - 169, DOI: 10.2316/P.2012.789-015, November 2012. EI Indexed.
Furong Chang， Bofeng Zhang，Haiyan Li, Mingqing Huang, Bingchun Li and Yue Zhao. Discovering Overlapping Communities in Ego-nets Using Friend Intimacy，Journal of Intelligent & Fuzzy System, (Preprint), pp.1-9.. SCI Indexed
Furong Chang， Bofeng Zhang，Yue Zhao, Songxian Wu, Guobing Zou, and Sen Niu. Overlapping Community Detection using Micro-bipartite Network Model Bi-EgoNet in Bipartite Networks，Journal of Intelligent & Fuzzy System(accepted). SCI Indexed
Yue Ren, Xinyuan Zhang, Liting Xia, Yongze Lin, Yue Zhao, Weimin Li. An Influence Maximization Algorithm Based on Real-time and De-superimposed Diffusibility, CollaborateCom 2019: International Conference on Collaborative Computing: Networking, Applications and Worksharing, London, UK (accepted)
Wang, Huimei, Shulan Han, Lianyan Wang, Tingyuan Yang, Guifeng Zhang, Lian Yu, and Yue Zhao. "Dual-function baicalin and baicalin-loaded poly (lactic-co-glycolic acid) nanoparticles: Immune activation of dendritic cells and arrest of the melanoma cell cycle at the G2/M phase." Particuology (2017). (IF= 2.621) SCI Indexed.
Meiyang Yang, Tingyuan Yang, Jilei Jia, Ting Lu, Hailin Wang, Xueying Yan, Lianyan Wang, Lian Yu, and Yue Zhao “Fabrication and characterization of DDAB/PLA-alginate composite microcapsules as single-shot vaccine” RSC Adv., 2018,8, 13612-13624. (IF= 3.108) SCI Indexed.
Xue, Zhe, Jia-Xu Chen, Yue Zhao, Barbara Medvar, and Mark A. Knepper. "Data Integration in Physiology Using Bayes' Rule and Minimum Bayes' Factors: Deubiquitylating Enzymes in the Renal Collecting Duct." Physiological Genomics (2016): physiolgenomics-00120. SCI Indexed. (IF= 2.374) (My contribution is more than 50% in this work)
Christina M. Pickering, Cameron R. Grady, Barbara Medvar, Milad Emamian, Pablo Concha Sandoval, Yue Zhao, Chin-Rang Yang, Hyun Jun Jung, Chung-Lin Chou, Mark A. Knepper. “Proteomic Profiling of Nuclear Fractions from Native Renal Inner Medullary Collecting Duct Cells”. Physiological Genomics Published 27 October 2015 Vol. no., DOI: 10.1152/physiolgenomics.00090.2015. SCI Indexed. (IF= 2.374)
Y. Zhao, Liu YH, Yu XG, Hu HY, Mei F. A Method for Mobile Path Prediction Based on Data Mining. In Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on 2008 Dec 21 (Vol. 1, pp. 691-695). IEEE. EI Indexed.