个人简介
孔庆磊于2012年和2015年在哈尔滨工业大学通信工程专业本科和硕士学位，2018年于新加坡南洋理工大学获得博士学位。现就职于哈尔滨工业大学（深圳）空间科学与应用技术研究院，任助理教授一职。
工作经历
2022-02 至 今, 哈尔滨工业大学（深圳）, 空间科学与应用技术研究院, 助理教授
2018-12 至 2019-10, 腾讯科技（深圳）, 桌面安全产品部, 应用研究员
2018-07 至 2018-12, 新加坡科技研究局, 资讯通信研究院, 研究科学家
博士后工作经历
2019-11 至 2021-12, 香港中文大学（深圳）
学习经历
2015-07 至 2018-06, 新加坡南洋理工大学, 网络安全, 博士
2012-09 至 2015-01, 哈尔滨工业大学, 通信工程, 硕士
2008-09 至 2012-07, 哈尔滨工业大学, 通信工程, 学士
学术成果
至今为止共发表学术论文20余篇，其中以第一作者的身份在JCR 1区等国内外高水平期刊收录的学术论文10篇。在专利方面，已授权国家发明专利4项、发布5项，专利内容包括公有云系统中的密钥管理策略、区块链隐私保护和联邦学习安全等。在项目方面，主持一项博士后基金。在新加坡经济发展局-南洋理工大学恩智浦半导体智能车联网项目中，设计了多种安全传输协议并对车联网中的公钥基础设施进行了开发。在国家重点研发计划-基于数据驱动和人工智能的未来新型网络演进中，提出了异构网络大数据中的隐私数据处理框架，并设计了不同场景中的数据隐私保护机制，在保证数据隐私的前提下，提高安全计算过程中的计算和传输效率
近期论文
查看导师新发文章
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Kong Q, Lu R, and Yin F. Achieving Efficient and Secure Handover in LEO Constellation-Assisted Beyond 5G Networks[J]. IEEE Open Journal of the Communications Society, vol. 3, pp. 641-653, 2022.
Kong Q, Yin F, Lu R, et al. Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog[J]. IEEE Transactions on Industrial Informatics, 2021, 17(12): 8453-8463.
Kong Q, Lu R, Yin F, et al. Blockchain-Based Privacy-Preserving Driver Monitoring for MaaS in the Vehicular IoT[J]. IEEE Transactions on Vehicular Technology, 2021, 70(4):3788-3799.
Kong Q, Lu R, Yin F, et al. Privacy-Preserving Continuous Data Collection for Predictive Maintenance in Vehicular Fog-Cloud[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(8): 5060-5070.
Kong Q, Su L, Ma M, et al. Achieving Privacy-Preserving and Verifiable Data Sharing in Vehicular Fog with Blockchain[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(8): 4889-4898.
Kong Q, Lu R, Ma M, et al. A Privacy-Preserving and Verifiable Querying Scheme in Vehicular Fog Data Dissemination[J]. IEEE Transactions on Vehicular Technology, 2019, 68(2):1877-1887.
Kong Q, Lu R, Zhu H, et al. Achieving Secure and Privacy-Preserving Incentive in Vehicular Cloud Advertisement Dissemination[J]. IEEE Access, 2018, 6: 25040 – 25050.
Kong Q, Lu R, Chen S, et al. Achieve Secure Handover Session Key Management via Mobile Relay in LTE-Advanced Networks[J]. IEEE Internet of Things Journal, 2017, 4(1):29-39.
Kong Q, Lu R, Ma M, et al. A privacy-preserving sensory data sharing scheme in Internet of Vehicles[J]. Future Generation Computer Systems, 2017, 92(MAR.):644-655.
Kong Q, Lu R, Ma M, et al. Achieve Location Privacy-Preserving Range Query in Vehicular Sensing[J]. Sensors, 2017, 17(8):1829.
孔庆磊, 高玉龙. 基于循环平稳的多天线渐进最优χ2检测算法[J]. 通信学报, 2012(s2).
Chen K, Kong Q, Dai Y, et al. Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey[J]. China Communications, 2022, 19(1):218-237.
Yin F, Lin Z, Kong Q, et al. FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing[J]. IEEE Open Journal of Signal Processing, 2020, 1:187-215.
会议文章
Kong Q, Yin F, Xiao Y. Achieving Blockchain-based Privacy-Preserving Location Proofs under Federated Learning[C]. 2021 IEEE International Conference on Communications (ICC). IEEE, 2021.
Kong Q, Ma M, Lu R. Achieving Secure CoMP Joint Transmission Handover in LTE-A Vehicular Networks[C]. 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall). IEEE, 2017.
Kong Q, Lu R, Zhu H. A Secure and Privacy-Preserving Incentive Framework for Vehicular Cloud on the Road[C].2016 IEEE Global Communications Conference (GLOBECOM).IEEE, 2016.
Li B, Shi Y, Kong Q, et al. Honeypot-Enabled Optimal Defense Strategy Selection for Smart Grids[C]. 2021 IEEE Global Communications Conference (GLOBECOM). IEEE, 2021.
Ouyang Y, Li B, Kong Q, et al. FS-IDS: A Novel Few-Shot Learning Based Intrusion Detection System for SCADA Networks[C]. 2021 IEEE International Conference on Communications (ICC). IEEE, 2021.
Ma X, Li B, Kong Q, et al. On Secure and Efficient Data Sharing for Smart Grids: An Anti-Collusion Scheme[C]. 2021 IEEE International Conference on Communications (ICC). IEEE, 2021.
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