王磊 (Lei Wang, Ph.D.)，工学博士，南京林业大学教授，博士生导师，IEEE高级会员，CCF高级会员，CCF服务计算专业委员会执行委员，获得省级人才工程荣誉称号2个。2018.12至2019.12香港中文大学访问学者。担任2022中国数字服务大会（China Service 2022）竞赛主席，CCF 2025服务科学国际会议（CCF ICSS 2025）宣传主席，ICWS、EDGE等多个国际会议的程序委员会委员，IEEE Transactions on Services Computing、IEEE Transactions on Software Engineering、IEEE Transactions on Mobile Computing、IEEE Transactions on Information Forensics & Security、IEEE Transaction on Pattern Analysis and Machine Intelligence等二十多个国际期刊审稿人。

● 主要研究方向：服务计算、软件可靠性工程、金融大数据分析、数智林业跨界服务融合。主要研究内容：1）研究多接入（移动）边缘计算系统的运行质量保障问题。重点思考如何使得所部署的边缘服务更具智能化；2）语义驱动的数字金融欺诈检测方法。研究智能合约交易的欺诈风险识别问题，包括数据驱动的诈骗特征提取，以及知识驱动的检测模型构建和模型长期生存问题；3）数智林业跨界服务融合。研究如何通过服务计算、人工智能、金融科技等技术，实现林业与其他产业融合以产生增值服务，满足涌现的用户需求，进而开发一个面向未来代的林业智能服务系统，并在森林旅游管理等领域开展验证。

 ● 主持的在研项目：1）国家自然科学基金面上项目（基于概念漂移的边缘服务运行时可靠性异常检测方法及关键技术研究，编号：62372239）；2）教育部人文社科基金规划项目（语义驱动的数字金融体系风险感知研究，编号：23YJAZH141）。2010年以来，作为核心成员参与了国家自然科学基金重点项目一项（基于服务组合的“系统的系统”软件机理与方法），此外还主持和参与完成过国家基金委面上、教育部人文社科青年等项目多项。参与完成国家重点研发计划项目一项（牵头单位：南京林业大学）。

 ● 通过以往项目的研究，在重要期刊IEEE Transactions on Knowledge and Data Engineering (CCF-A类期刊)、IEEE Transactions on Services Computing（CCF-A类期刊）、IEEE Transactions on Mobile Computing (CCF-A类期刊)、IEEE Transactions on Software Engineering （CCF-A类期刊）、IEEE Transactions on Parallel and Distributed Systems （CCF-A类期刊）、Journal of Systems and Software、Information Processing and Management、Journal of Parallel and Distributed Computing、Knowledge-Based Systems、Engineering Applications of Artificial Intelligence、Expert Systems with Applications、Future Generation Computer Systems、Concurrency and Computation: Practice and Experience、Applied Intelligence、IEEE Internet of Things Journal、《中国科学：信息科学》及重要国际会议ICSOC、ICWS、SCC等发表多篇论文。研究成果展现出相关领域的创新推动力，TSE、TOSEM、TPDS、TSC、WWW等知名期刊及会议的论文在跟踪、引评其课题组研究成果。

 ● 曾获江苏省计算机学会优秀博士学位论文奖。成果获教育部、国家林草局二等奖各1项，江苏省政府三等奖1项。学生获“华为杯”全国研究生数学建模比赛一等奖1项，二等奖2项、研究生国家奖学金3人次、江苏省优秀硕士学位论文2篇、江苏省本科生优秀毕业设计团队等奖项。培养的研究生进入中国商飞研发中心、江苏苏美达、上海税务局等央企和政府部门从事技术研发和管理工作。

代表性论文

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1. [TMC2026] Lei Wang, Jiyuan Liu, Qiang He, Feifei Chen, and Xiaoyu Xia, "Hierarchical Runtime Reliability Anomaly Detection for Edge Services Rejuvenation," IEEE Transactions on Mobile Computing, vol. 25, no. 4, pp. 5807-5823, Apr. 2026. 

2. [TMC2024] Lei Wang, Shuhan Chen, Feifei Chen, Qiang He, and Jiyuan Liu, "B-Detection: Runtime Reliability Anomaly Detection for MEC Services with Boosting LSTM Autoencoder," IEEE Transactions on Mobile Computing, vol. 23, no. 4, pp. 2599-2613, Apr. 2024.

3. [TSC2023] Lei Wang, Jiyuan Liu, and Qiang He, "Concept Drift-based Checkpoint-restart for Edge Services Rejuvenation," IEEE Transactions on Services Computing, vol. 16, no. 3, pp. 1713-1725, May/Jun. 2023.

4. [TKDE2023] Lei Wang, Shuhan Chen, and Qiang He, "Concept Drift-based Runtime Reliability Anomaly Detection for Edge Services Adaptation," IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 12, pp. 12153-12166, Dec. 2023.

5. [TSC2022] Lei Wang, Qiang He, Demin Gao, Jing Wan, and Yunqiu Zhang, "Temporal-Perturbation Aware Reliability Sensitivity Measurement for Adaptive Cloud Service Selection," IEEE Transactions on Services Computing, vol. 15, no. 4, pp. 2301-2313, Jul./Aug. 2022.

6. [TPDS2019]Lei Wang, "Architecture-based Reliability-sensitive Criticality Measure for Fault-tolerance Cloud Applications," IEEE Transactions on Parallel and Distributed Systems, vol. 30, no. 11, pp. 2408-2421, Nov. 2019.

7. [TSE2017] Hongbing Wang, Lei Wang, Qi Yu, Zibin Zheng, Athman Bouguettaya, and Michael R. Lyu, "Online Reliability Prediction via Motifs-based Dynamic Bayesian Networks for Service-Oriented Systems," IEEE Transactions on Software Engineering, vol. 43, no. 6, pp. 556-579, Jun. 2017.

8. [TSC2019] Hongbing Wang, Lei Wang, Qi Yu, and Zibin Zheng, "Learning the Evolution Regularities for BigService-Oriented Online Reliability Prediction," IEEE Transactions on Services Computing, vol. 12, no. 3, pp. 398-411, May/Jun. 2019.

9. [TSC2018] Hongbing Wang, Chao Yu, Lei Wang, and Qi Yu, "Effective BigData-Space Service Selection over Trust and Heterogeneous QoS Preferences," IEEE Transactions on Services Computing, vol. 11, no. 4, pp. 644-657, Jul./Aug. 2018.

10. [TPDS2016] Hongbing Wang, Zuling Kang, and Lei Wang, "Performance-Aware Cloud Resource Allocation via Fitness-enabled Auction," IEEE Transactions on Parallel and Distributed Systems, vol. 27, no. 4, pp. 1160-1173, Apr. 2016.

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