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个人简介：Personal Profile 简介于2020年6月至今，就职于西安电子科技大学网络与信息安全学院。博士毕业于西北工业大学，博士期间在RMIT大学进行为期2年的访学交流，本硕毕业于西安电子科技大学。我的长期研究目标是发现人机交互中安全可靠的交互方式，和探索无线感知技术在隐私保护方面的应用。研究成果发表于MobiCom, UbiComp, SECON和TMC等国际顶级会议和期刊上。我的研究方向主要包括物联网、移动计算、机器学习和无线感知。论文发表[1] Yao Wang, Tao Gu*, Yu Zhang, Minjie Lyu, Tom H. Luan, and Hui Li. Enabling Secure Touch-to-Access Device Pairing based on Human Body’s Electrical Response. In Proc. of MobiCom 2022, Sydney, Australia, October 17-21, 2022. (CCF A类会议，EI) 原文链接[2]Yao Wang, Tao Gu*, Tom H. Luan, and Yong Yu. Your Breath Doesn’t Lie: Multi-user Authentication by Sensing Respiration using mmWave Radar. In Proc. of SECON 2022, Virtual Conference, 20-23 September 2022. (CCF B类会议，EI) 原文链接[3] Yao Wang, Tao Gu*, Tom H. Luan, Minjie Lyu, and Yue Li. HeartPrint: Exploring a Heartbeat-based Multi-user Authentication with Single mmWave Radar. IEEE Internet of Things Journal (IoT-J), 2022. (SCI 1区，IF: 10.238) 原文链接[4] Yao Wang, Wandong Cai*, Tao Gu and Wei Shao. Your Eyes Reveal Your Secrets: An Eye Movement-Based Password Inference on Smartphone. IEEE Transactions on Mobile Computing (TMC), vol.19, no. 11, pp. 2714-2730, 2020. (CCF A类期刊, SCI 2区, IF: 4.474) 原文链接[5] Yao Wang, Wandong Cai*, Tao Gu, Wei Shao, Yannan Li and Yong Yu. Secure Your Voice: An Oral Airflow-based Continuous Liveness Detection for Voice Assistants. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2019, Vol., No. 4, Article 157. (CCF A类会议, EI, 最佳论文提名) 原文链接[6] Yao Wang, Wandong Cai*, Tao Gu, Wei Shao, Ibrahim Khalil and Xianghua Xu. GazeRevealer: Inferring Password Using Smartphone Front Camera. Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), 2018, New York, USA, pp: 254-263. (CCF C类会议, EI) 原文链接[7] Yao Wang, Wandong Cai*, Pin Lyu and Wei Shao. A Combined Static and Dynamic Analysis Approach to Detect Malicious Browser Extensions. Security and Communication Networks, 2018, Article ID 7087239, 16 pages.  (CCF C类期刊, SCI 4区, IF: 1.376) 原文链接[8] Yao Wang, Wandong Cai* and Pengcheng Wei. A Deep Learning Approach for Detecting Malicious JavaScript Code. Security and Communication Networks, 2016, Vol. 9, pp. 1520-1534. (CCF C类期刊, SCI 4区, IF: 1.376, Google Scholar引用144次) 原文链接在研项目国家自然科学基金青年基金项目. 基于生物特征识别的移动智能终端人机交互安全防护方法. 项目负责人：王尧. 项目批准号：62002278. 时间：2021.01.01~2023.12.31. 在研课题毫米波生理特征感知。利用RF信号受由人体呼吸和心跳所引起的皮肤表面振动影响的现象，首先捕捉呼吸和心跳信号，然后以这类信号作为生物特征因子执行一种连续的、非接触式的用户认证服务。系统原型如下图所示：设备认证安全机制。利用人体对流经其体表微电流响应的不同，设计一种安全可靠的“触摸即访问”设备认证机制，系统原型和认证协议如下：其他在研课题。曾获奖项1. 获得ACM MobiCom 2022 "Best Poster Award"。2. 得ACM SIGSAC China 2020年度优博奖。2. 获得2019年中国互联网发展基金会网络安全专项基金网络安全奖学金。