Sebastian Wandelt
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复杂网络鲁棒性

计算机科学利用图论和优化算法,分析复杂网络(如电网、交通网络)的脆弱性。AI通过模拟攻击和故障场景,识别关键节点,增强网络抗毁性。机器学习模型实时监测异常,自动调整拓扑结构,确保系统稳定。这些技术提升基础设施韧性,应对自然灾害或网络攻击。

Personal information

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

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School/Department:电子信息工程学院

Education Level:With Certificate of Graduation for Doctorate Study

Gender:Male

Contact Information:82338306

Degree:Doctoral degree

Status:Employed

Alma Mater:汉堡工业大学

Discipline:Computer Science and Technology
Transportation Engineering

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