个人简介
个人简介：
2012年于西安交通大学获得博士学位(获陕西省优秀博士毕业论文)，主要在移动计算、大数据、机器学习、物联网、车联网中的安全与隐私保护等方向开展工作。在包括IEEE TPDS、IEEE TMC、ACM SENSYS、IEEE INFOCOM、IEEE ICDCS、IEEE SECON等主流国际期刊和会议上发表研究论文40余篇。获得包括通信领域旗帜性会议Globecom在内的多个重要国际会议最佳论文奖。正在主持国家自然科学面上项目2项，上海市青年科技启明星计划1项，入选东华大学“励志计划”项目。完成国家自然科学青年基金1项。担任ACM中国图灵大会（2019，2020）副主席、国际会议International Conference on Cloud and Big Data（CBD）2017宣传主席；担任SCI期刊Springer Peer-to-Peer Networking and Applications（PPNA）副编辑；担任IEEE TMC/TOC/TON/TPDS、《计算机学报》、《计算机研究与发展》等期刊审稿人；担任多个国际会议程序委员会成员。申请国家发明专利10余项；2008年作为第八完成人获得国家教育部科技成果二等奖一项。
教学情况：
1. 全英文研究生课程：《安全与隐私保护技术在移动网络中的应用》，主讲
2. 本科生课程：《计算机编程导论-Python语言》、《C语言程序设计》、《计算机系统与网络技》等，主讲。
3. 上海市计算机等级考试二级Python命题组成员。
4. 参与编著上海市高等学校计算机等级考试推荐教材《Python程序设计基础》，已出版。
近年来主持及参与项目：
1. 抗模型毒化与隐私泄露的联合学习关键技术研究，2020.01-2023.12，国家自然科学基金面上项目，主持
2. 面向节点隐私保护的可持续群智感知系统关键技术研究，2017.01-2020.12，国家自然科学基金面上项目，主持
3. 移动感知中数据安全与可靠性研究， 2017.04-2020.03，上海市青年科技启明星计划，主持
4. 群智感知节点隐私保护，2017.01-2019.12，东华大学“励志计划”，主持
5. 群智感知系统中的隐私保护关键技术研究，2014.01-2016.12，国家自然科学基金青年项目，主持
6. 密码杂凑函数的新型分析与设计研究，2016.01 - 2019.12， 国家自然科学基金面上项目，参与
7. 网络消费者隐私保护关键技术研究，2014.01-2016.12，国家自然科学基金青年项目，参与
8. 数据广播环境下实时调度理论及应用研究，2014.01-2017.12，国家自然科学基金面上项目，参与
9. 资源可共享模型下的实时调度理论及应用研究，2013.06-2015.05，上海市自然科学基金项目，参与
10. 基于车辆自组网络的移动感知关键技术研究，2012.07-2015.06，上海市自然科学基金项目，参与
11. 基于云计算的分布式系统并行测试关键技术研究，2012.01-2014.12，上海市教育委员会科创项目，参与
荣誉与获奖：
1. 入选“2017上海市青年科技启明星计划”；
2.《无线自组网安全与隐私保护若干问题研究》，2014陕西省优秀博士论文；
3.“SmartDog: Real-time Detection of Smartphone Theft”，国际会议IEEE IThings 2016，最佳论文奖
4.“UPS: Combatting Urban Vehicle Localization with Cellular-Aware Trajectories”，国际会议IEEE GLOBECOM 2016，最佳论文奖
海外经历：
1. 2009.02-2010.02 香港科技大学 访问学者
2. 2010.10-2011.03 加拿大滑铁卢大学 访问学者
近期论文
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近几年的论著：
1. Shan Chang, Chao Li, Hongzi Zhu, Hang Chen, “Adaptive and Blind Regression for Mobile Crowd Sensing”, IEEE Transactions on Mobile Computing. (Early Access, CCF A)
2. Shan Chang and Chao Li, “Privacy in Neural Network Learning: Threats and Countermeasures”, IEEE Network, 2018, 32(4): 61-67. (JCR I)
3. Shan Chang, Chao Li, Hongzi Zhu, Ting Lu and Qiang Li, “Revealing Privacy Vulnerabilities of Anonymous Trajectories”, IEEE Transactions on Vehicular Technology, 2018, 67(12): 12061-12071. (JCR II)
4. Chao Li, Shan Chang, Hongzi Zhu, Hang Chen and Ting Lu, “Lotus: Evolutionary Blind Regression over Noisy Crowdsourced Data”, IEEE International Conference on Sensing, (IEEE SECON), 2018. (CCF B, Best Paper Award Runner-up)
5. Shan Chang, Hongzi Zhu, Wei Zhang, Li Lu and Yanmin Zhu, “PURE: Blind Regression Modeling for Low Quality Data with Participatory Sensing”, IEEE Transactions on Parallel and Distributed Systems, 2016, 27(4): 1199-1211. (CCF A)
6. Shan Chang, Hongzi Zhu, Yong Qi, Jizhong Zhao and Sherman Shen, “Footprint: Detecting Sybil attacks in Urban Vehicular Networks”, IEEE Transactions on Parallel and Distributed Systems, 2012, 23(6): 1103-1114. (CCF A)
7. Shan Chang, Hongzi Zhu, Mianxiong Dong, Kaoru Ota, Xiaoqiang Liu and Sherman Shen, “Private and Flexible Urban Message Delivery”, IEEE Transactions on Vehicular Technology, 2016, 65(7): 4900-4910. (JCR II)
8. Shan Chang, Li Lu , Xiaoqiang Liu, Hui song and Qingsong Yao, “Vulnerability Aware Graphs for RFID Protocol Security Benchmarking”, Journal of Computer and System Sciences, 2015, 81(6): 1027-1041. (CCF B)
9. Shan Chang, Xiaoqiang Liu, Ting Lu, Hongzi Zhu, Mianxiong Dong and Kaoru Ota, “Where Were You Yesterday: Privacy Risk of Published Anonymous Trajectories”, IEEE GLOBECOM, 2016. (CCF C)
10. Shan Chang, Ting Lu and Hui Song, “SmartDog: Real-time Detection of Smartphone Theft”, IEEE iThings 2016. (Best Paper Award)
11. Shan Chang, Hongzi Zhu, Mianxiong Dong, Kaoru Ota, Xiaoqiang Liu, Guangtao Xue and Xuemin Shen, “BusCast: Flexible and Privacy Preserving Message Delivery Using Urban Buses”, IEEE International Conference on Parallel and Distributed ystems (IEEE ICPADS), 2014. (CCF C)
12. Shan Chang, Yong Qi, Qingsong Yao, Hui Song and Li Lu, “Random graph based benchmarking methodology for RFID security protocols”, IEEE International Conference on e-Business Engineering (IEEE ICEBE), 2013.
13. Kaoru Ota, Mianxiong Dong, Shan Chang and Hongzi Zhu, “MMCD: Max-throughput and Min-delay Cooperative Downloading for Drive-thru Internet Systems”, in Proceedings of the IEEE international Conference on Communications (IEEE ICC), 2014. (CCF C)
14. Qingsong Yao, Jinsong Han, Saiyu Qi, Zhuoliu, Shan Chang and Jianfeng Ma, “MAP: Towards Authentication for Multiple-tags”, International Journal of Distributed Sensor Networks, Special Issue on Smart City, vol. 2013, Article ID 109439, pp. 1-14, 2013.
15. Shan Chang, Qingxi Li, Yong Qi, Jizhong Zhao, Yuan He and Xue Liu, “Demo Abstract: Safety Assurance for Archeologists Using Sensor Network”, in Proceedings of the 6th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2008. (CCF B)
16. Shan Chang, Yong Qi, Hongzi Zhu, Mianxiong Dong and Kaoru Ota, “Maelstrom: Receiver-Location Preserving in Wireless Sensor Networks”, in Proceedings of the 6th International Conference on Wireless Algorithms, Systems, and Applications (WASA), 2011. (CCF C)
17. Hongzi Zhu, Shan Chang, Minglu Li, Kshirasagar Naik and Sherman Shen, “Exploiting Temporal Dependency for Opportunistic Forwarding in Urban Vehicular Network”, in Proceedings of the 30th IEEE International Conference on Computer Communications (INFOCOM), 2011. (CCF A)
18. Hongzi Zhu, Mianxiong Dong, Shan Chang, Minglu Li and Sherman Shen, “ZOOM: Capturing Mobility Scales for Opportunistic Forwarding in Vehicular Networks”, in Proceedings of the 32th IEEE International Conference on Computer Communications (INFOCOM), 2013. (CCF A)
19. Kaoru Ota, Mianxiong Dong, Hongzi Zhu, Shan Chang and Xuemin Shen, “Traffic Information Prediction in Urban Vehicular Networks: A Correlation Based Approach”, in Proceedings of the IEEE Wireless Communications and Networking Conference (IEEE WCNC), 2011. (CCF C)
20. Qingsong Yao, Shan Chang, Yong Qi and Ming Li, “New programming model for pervasive computing”, in Proceedings of the 5th IEEE International Conference on e-Business Engineering (IEEE ICEBE), 2008.
21. Huan Li, Shan Chang, Zhe Li, and Liping Shao, “Color context analysis based efficient real-time flame detection algorithm”, in Proceedings of the 3rd IEEE Conference on Industrial Electronics and Applications (ICIEA), 2008.
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