| 教学科研简况 | 代表性论文 SCI/SCIE 论文 1.       Rashid M.N., Tao L.,   Hamad N., Hailu H., Machine Learning Approach for Classification of   Equivalent Mutants, Journal of Software: Evolution and Process, 2019. Wiley.   (论文影响力: 1.305, 区4,   CCF B)  2.        Rashid M.N., Tao L., Hamad N., Farhan U., Saqib S.,   Scalable Mutation Testing Using Predictive Analysis of Deep Learning Model, IEEE   Access, vol. 7, pp. 158264-158283, 2019. IEEE. (论文影响力: 4.098, 区2)  3.        Hamad N.,   Farhan U., Rashid M.N., et al., Malware Detection in Industrial Internet of Things based on Hybrid   Image Visualization and Deep Learning Model, Ad-hoc Networks, vol. 105, pp. 1-12, 2020. Elsevier. (论文影响力: 3.49, 区2, CCF C)  4.        Hamad N., Bing G., Rashid M.N., et al., Identification   of malicious code variants based on image visualization, Journal of   Computers and Electrical Engineering, vol. 76, pp. 225-237, 2019. Elsevier.   (论文影响力: 2.189, 区3)  5.        Farhan U., Hamad N., Rashid M.N., et al., Detection of   Clone Scammers in Android Markets using IoT-based Edge Computing,   Transactions on Emerging Telecommunications Technologies, 2019. Wiley. (论文影响力: 1.258, 区4) 6.        Hamad N., Bing G., Farhan U., Rashid M.N., A   Cross-Platform Malware Variant Classification based on Image Representation, KSII   Transactions on Internet and Information Systems, vol. 13, no. 7, pp.   3756-3777, 2019. (论文影响力: 0.711, 区4)  7.        Hamad N., Bing G., Rashid M.N, et al., A new approach   for image detection based on refined Bag of Words algorithm, International   Journal for Light and Electron Optics, vol. 140, pp. 823-832, 2017. Elsevier.   (论文影响力: 1.914, 区4)  EI 论文 8.        Hamad N., Bing G., Rashid M.N., et al., Visual malware   classification using local and global malicious pattern, Journal of   Computers (Taiwan), vol. 6, no. 3, pp. 393-401, 2019.  9.        Hamad N., Bing G., Rashid M.N., A light-weight malware   static visual analysis for IoT infrastructure, Int’l   Conference on Artificial Intelligence and Big Data (ICAIBD), IEEE, pp.   240-244, 2018. ESCI 论文 10.  Rashid M.N., Hamad N.,   et al., A Multi-Level Process Mining Framework for Correlating and Clustering   of Biomedical Activities using Event Logs, International Journal of   Advanced Computer Science and Applications, vol.8, no. 3, pp. 393-403,   2017.   学术组织任职 / 评论家 技术计划委员会(成员)– WOSTECH 2019 §  第三次国际会议 (智能技术)【2019/07/01–2019/07/02】 University of   Paris-Sud, 法国. (http://wostech19.asastechno.com)  审稿人–WOSTECH 2019 会议论文 审稿人–IEEE Wireless Communications   Journal (论文影响力: 11.000) 审稿人–IEEE   Access Journal (论文影响力: 4.098)   获奖 / 荣誉 “一带一路”倡议奖学金 (OBOR)-【2017/09–2019/07】 §  博士研究奖学金在四川大学,成都,中国 中国政府奖学金(CSC)-【2013/09–2015/07】 §  硕士研究奖学金在重庆大学,重庆,中国   会议演讲 Risk Driven Process   Based Software Lifecycle Model。International Cloud   Computing and IoT conference (CCIOT)  会场:中国吉林省长春市长春师范大学 时间:2014年12月14日 工作经历 2015/08–2016/08  软件工程师,Triple-I International Pvt. Ltd, 伊斯兰堡,巴基斯坦 §  Java Spring MVC(网络开发) §  Java   Hibernate mapping(数据库)   2012/10–2013/06 软件工程师,Triple-I International Pvt. Ltd, 伊斯兰堡,巴基斯坦 §  网络和安卓应用程序(开发商) §  Java Liferay   CMS Framework(网络开发) §  安卓讲习班(承办单位)  §  Oracle Apex 和   MySQL(数据库)   技术 / 开发技能 编程语言: Java,   Python, C#, C++, ASP.NET, JSP, JavaScript, HTML5 和 CSS3 数据库: MySQL, SQL   Server, Oracle Apex 和 MongoDB 开发工具: Eclipse JDK,   Visual Studio, Rapid Miner, Weka 和 R-Studio |