Stergios Mitoulis

主页与图片

• 官方 UCL 个人主页：Stergios-Aristoteles Mitoulis，适合核查最新岗位、邮箱、出版物、项目、教学与 UCL 侧机构信息。S1
• 团队/研究平台主页：MetaInfrastructure，页面直接使用其头像，可作为 wiki 头像图源；平台集中展示 ReCharged、RISKADAPT、BridgeUkraine、AI4SURE 等项目线索。S13
• UCL 访谈页：Spotlight on… Stergios-Aristoteles Mitoulis，包含 UCL 新闻图片与 2026 年近况访谈，适合追踪其加入 UCL 后的研究重点。S3

身份与单位

• 常用署名包括 Stergios-Aristoteles Mitoulis、Stergios Aristoteles Mitoulis、S. A. Mitoulis、Stergios Mitoulis；ORCID 为 0000-0001-7201-2703，ORCID 也列出 Google Scholar 与 Scopus Author ID 35311205700 作为追踪入口。S1 S2
• 当前 UCL 官方档案列出的正式岗位是 The Bartlett School of Sustainable Construction 的 Associate Professor in Engineering and Project Management，档案标题使用 Prof；UCL 新闻称他于 2025 年 7 月加入 UCL。S1 S3
• UCL/ORCID 简介称他是 UCL Bartlett Centre for Global Infrastructure Resilience 的 Founding Director，同时是 MetaInfrastructure.org 与 bridgeUkraine.org 的 Director。S1 S2
• UCL 新闻称其前一岗位是 University of Birmingham 的 Professor of Structural and Infrastructure Engineering and Head of Structures，并曾领导 20 多名 academics 的 division、MSc in Structural Engineering 及 MetaInfrastructure/BridgeUkraine 等跨学科研究计划。S3
• UCL Centre 页列出其在 Centre for Global Infrastructure Resilience 中的角色为 Leader, Founder，并给出的专长是 transport assets resilience、monitoring-driven infrastructure resilience、damage-free bridges、Eurocode compliance。S4

核心研究方向

• 总体定位：围绕 built environment 与 critical infrastructure 的 resilience、sustainability、digitalisation 展开，尤其关注桥梁与交通基础设施在自然灾害、气候变化、老化、冲突与系统级连锁扰动下的适应、恢复与长期可持续。S1 S2 S3
• 桥梁韧性与多灾害风险：从早期桥梁抗震、隔震支座、整体式桥台、抗震约束与 resilient hinges，逐步扩展到洪水、冲刷、漂浮物/水动力、地震组合灾害下的桥梁易损性、恢复模型和交通网络功能恢复。S5 S6 S7 S8
• 气候与基础设施系统韧性：其团队论文把桥梁和交通资产放入多灾害和系统互依环境中，强调不只评估单构件失效概率，还要评估恢复过程、服务功能、区域经济与社会影响。S5 S9 S10
• 数字化基础设施：近期工作突出 AI、机器学习、数字孪生、IoT、BIM、点云、SAR/遥感、无人机/影像与机器人平台，用于桥梁状态识别、快速灾后损伤刻画和基础设施恢复决策。S11 S12 S13 S14
• 战争/冲突与 post-war recovery：BridgeUkraine 相关研究把遥感、crowdsourcing、forensics、深度学习和恢复优先级模型用于乌克兰等冲突影响区域的基础设施重建，强调 resilience-based、people-centred、sustainable、equitable recovery。S3 S15 S16 S17

代表性论文与成果

• Argyroudis, Mitoulis 等, 2020, “Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets”, Science of the Total Environment, DOI: 10.1016/j.scitotenv.2020.136854。该文把交通资产置于 multi-hazard 环境下进行关键基础设施韧性评估，是其从单桥抗震走向网络/系统韧性的代表节点。S5
• Argyroudis and Mitoulis, 2021, “Vulnerability of bridges to individual and multiple hazards - floods and earthquakes”, Reliability Engineering & System Safety, DOI: 10.1016/j.ress.2021.107564。该文建立洪水、冲刷、漂浮物/水动力和地震组合作用下的桥梁 fragility models，并比较 integral bridges 与 bearing-supported bridges 在不同冲刷/地震情景下的差异。S6
• Mitoulis, Argyroudis, Loli and Imam, 2021, “Restoration models for quantifying flood resilience of bridges”, Engineering Structures, DOI: 10.1016/j.engstruct.2021.112180。该文针对 flood-critical bridges 提出结构能力 restoration 与交通能力 reinstatement 恢复模型，覆盖冲刷、水动力和 debris accumulation 等水致损伤。S7
• Argyroudis, Mitoulis 等, 2022, “Digital technologies can enhance climate resilience of critical infrastructure”, Climate Risk Management, DOI: 10.1016/j.crm.2021.100387。该 perspective 将 IoT、digital twins、point clouds、AI、BIM 等技术放入气候韧性基础设施的风险评估、监测和决策链条。S11
• Mitoulis, Argyroudis, Panteli 等, 2023, “Conflict-resilience framework for critical infrastructure peacebuilding”, Sustainable Cities and Society, DOI: 10.1016/j.scs.2023.104405。该文提出使用 standoff observations、遥感、取证和 crowdsourcing 支持战后关键基础设施恢复优先级决策，并以 Kyiv 西部交通网络为案例。S15
• Kazantzi, Moutsianos, Bakalis and Mitoulis, 2024, “Cause-agnostic bridge damage state identification utilising machine learning”, Engineering Structures, DOI: 10.1016/j.engstruct.2024.118887。RISKADAPT 页面将其列为相关成果，主题是用有限监测/挠度数据和机器学习识别桥梁损伤状态。S12
• Kopiika 等, 2025, “Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach”, Automation in Construction, DOI: 10.1016/j.autcon.2024.105955。该文以乌克兰 17 座受损桥梁为案例，整合 Sentinel-1 SAR、crowdsourced data、高分辨率图像与 deep learning 做多尺度损伤识别。S16
• Kopiika, Di Bari, Argyroudis, Ninic and Mitoulis, 2025, “Sustainability and resilience-driven prioritisation for restoring critical infrastructure after major disasters and conflict”, Transportation Research Part D, DOI: 10.1016/j.trd.2025.104592。该文提出桥梁组合恢复优先级框架，把 resilience 与 sustainability 指标用于冲突影响区域的投资与恢复排序。S17
• Forcellini and Mitoulis, 2025, “Effect of deterioration on critical infrastructure resilience - framework and application on bridges”, Results in Engineering, DOI: 10.1016/j.rineng.2024.103834。该文把老化/劣化引入桥梁韧性评估，讨论不同 deterioration 水平对 loss model、fragility、recovery process 和 seismic resilience 的影响。S18
• Dulin, Mitoulis 等, 2025, “Rethinking infrastructure design from component failure to systemic resilience”, Nature Communications, DOI: 10.1038/s41467-025-64683-6。该文以 Francis Scott Key Bridge collapse 为案例，论证桥梁设计需要从构件风险阈值扩展到系统互依、区域经济和恢复能力。S10
• Kopiika, Argyroudis, Ouyang and Mitoulis, 2026, “A new paradigm for resilient and equitable post-war recovery of cities”, Nature Cities, DOI: 10.1038/s44284-026-00424-0。该 comment 明确提出战后城市重建应超越政治/经济利益驱动，转向 science-driven、multidisciplinary、people/community-centred、social justice 与 sustainability。S14
• Mitoulis and Argyroudis, 2026, “Editorial: How AI and digitalisation transform bridge engineering, from modelling and monitoring to reliability and resilience”, Proceedings of the ICE - Bridge Engineering, DOI: 10.1680/jbren.2026.179.2.109。这反映其作为桥梁工程期刊编辑方向的一条近期主线：AI 和 digitalisation 正在连接建模、监测、可靠度与韧性。S19

近年研究主题变化

1. 早期主线更偏桥梁抗震工程与构件/系统响应：包括桥台参与、隔震/橡胶支座、整体式桥台、抗震约束、resilient hinges 等，重点仍是 bridge engineering 与 earthquake engineering 的力学机制、设计和细部。S1 S20
2. 约 2019-2021 年后，研究明显转向 resilience of transport assets 和 multi-hazard risk：多灾害综述、多灾害 resilience assessment framework、洪水和地震组合 fragility、flood restoration/reinstatement models 成为代表成果。S5 S6 S7 S8
3. 约 2021-2024 年后，数字化和气候韧性成为横向方法论：AI、digital twins、IoT、BIM、point clouds、SHM、SAR、机器学习和机器人平台被用于 reducing uncertainty、rapid assessment、bridge damage identification 和 climate adaptation。S11 S12 S13 S16
4. 2023 年后，研究从自然灾害扩展到 conflict resilience 和 post-war reconstruction：以 Ukraine/BridgeUkraine 为关键场景，强调 standoff observations、multi-scale damage characterisation、恢复优先级、capacity building 和 people-centred reconstruction。S3 S15 S16 S17
5. 2025-2026 年的前沿表述更系统化：Nature Communications 文章强调从 component failure 转向 systemic resilience；Nature Cities comment 强调 equitable post-war recovery；threat-agnostic resilience 论文则把威胁源从单一 hazard 扩展为气候、数字、地缘政治、冲突等不确定扰动。S10 S14 S21

项目与平台

• Centre for Global Infrastructure Resilience：UCL Bartlett 的 centre/virtual research centre，页面列出 Mitoulis 为 Leader, Founder，团队关注 resilience/sustainability、AI/advanced technologies、transport assets、monitoring-driven resilience、damage-free bridges 等。S4
• MetaInfrastructure：其网站定位为通过 people-centric、sustainable、resilient design 交付 future built ecosystems，并列出 threat-agnostic resilience、AI & digital transformation、sustainable development、metaCity、Counterfactual Engineering 等专长方向。S13
• ReCharged：MetaInfrastructure 页面列出 Dr Stergios Aristoteles Mitoulis 为 Scientific Coordinator；UKRI GtR EP/Y003586/1 页面显示其 UKRI Horizon Europe Guarantee award 题名为 “Climate-aware Resilience for Sustainable Critical and interdependent Infrastructure Systems enhanced by emerging Digital Technologies”，并关联 BridgeUkraine community of practice；完整 MSCA ReCharged 项目周期应以 CORDIS 101086413 为准。S22 S23 S26
• RISKADAPT：项目题名为 “Asset-level modelling of risks in the face of climate-induced extreme events and adaptation”；CORDIS 101093939 显示该项目总成本为 €2,534,786.25、EU contribution 为 €2,533,536.00，由 RISA Sicherheitsanalysen GmbH 协调；MetaInfrastructure/RISKADAPT 页面称其为 18 机构项目，目标是面向气候诱发 compound events 的 asset-level risk-informed adaptation platform。S24 S27
• BridgeUkraine：UCL 新闻称其当前优先工作之一是通过 BridgeUkraine 为乌克兰恢复开发 resilience-based reconstruction frameworks，覆盖 critical infrastructure、housing、schools 和 hospitals；UKRI GtR 也描述 BridgeUkraine 已形成由 academics、consultants、practitioners、policymakers、institutions、international bodies 组成的 community of practice。S3 S23

对桥梁韧性/基础设施韧性的知识库意义

• 对桥梁方向：Mitoulis 的工作把桥梁从单一结构对象扩展为 transport network 和 built ecosystem 中的 critical node，因此可用于连接桥梁易损性、恢复曲线、功能损失、交通绕行、网络恢复和区域经济影响等页面。S5 S7 S10
• 对多灾害方向：其桥梁 flood-earthquake、多灾害 framework 和 threat-agnostic resilience 论文适合用于整理从 hazard-specific fragility 到 all-hazards/threat-agnostic resilience 的概念演化。S6 S8 S21
• 对气候韧性方向：RISKADAPT、ReCharged 和 Climate Risk Management 论文可作为 digitalisation-enhanced climate adaptation 的入口，尤其是如何把 climate forcing、deterioration、LCA/LCC、结构分析和社会风险连接到决策平台。S11 S18 S22 S24
• 对数字化基础设施方向：cause-agnostic damage identification、tiered remote-sensing/deep-learning damage characterisation、AI/SHM roadmap 等成果可支撑桥梁检测从 visual inspection/FEA 走向 ML、SAR、point cloud、digital twin 和 robotic inspection 的主题脉络。S12 S13 S16 S19
• 对战后重建方向：conflict-resilience framework、restoration prioritisation 和 Nature Cities comment 可作为 “post-war infrastructure recovery”、“BridgeUkraine”、“resilience-based reconstruction” 相关页面的核心引用。S14 S15 S17

近期动态

• 2025 年 7 月加入 UCL；2026 年 3 月 UCL Spotlight 中，他称当前最优先的工作是支持 Ukraine recovery，并称自己目前 lead and contribute to 13 active research projects funded by Horizon Europe, UKRI and charitable foundations。S3
• 2025 年 Nature Communications 论文用 Francis Scott Key Bridge collapse 讨论桥梁/港口关闭的 cascading economic impacts，并提出 resilience-based bridge analysis procedure。S10
• 2026 年 Nature Cities comment 将 post-war city recovery 与 resilience、equity、inclusion、sustainability 绑定，Mitoulis 为通讯作者。S14
• UCL publication/profile 页面 2026 年列出 AI/digitalisation bridge engineering editorial、resilient bridge columns design for deconstruction、post-war recovery、SHM roadmap、robotic surface damage detection 等成果，说明近期主题继续集中在 AI/digitalisation、恢复决策、可拆解/可复用桥梁构件和 post-war/city-scale resilience。S1 S19 S25

可继续追踪的来源

• UCL Profiles: Stergios-Aristoteles Mitoulis。用于核查最新岗位、UCL 邮箱、ORCID、出版物、项目和教学信息。S1
• ORCID: 0000-0001-7201-2703。用于核查名称变体、研究者链接、关键词、Scopus Author ID 和外部档案。S2
• UCL Centre: Centre for Global Infrastructure Resilience。用于追踪团队人员、centre news 和 UCL 侧研究方向。S4
• MetaInfrastructure: metainfrastructure.org 与其 news、projects。用于追踪 ReCharged、RISKADAPT、ZEBAI、PORTAL、AI4SURE、bridgeAdapt 等项目组合。S13
• BridgeUkraine: bridgeUkraine.org。用于追踪乌克兰恢复、capacity building、Eurocodes training、post-war infrastructure recovery 相关活动。S2 S3
• UKRI GtR: ReCharged EP/Y003586/1。用于核查 UKRI Horizon Europe Guarantee award 记录、PI/Co-I、合作、成果和影响记录；完整 ReCharged 项目周期需对照 CORDIS 101086413。S23 S26
• CORDIS/RISKADAPT: CORDIS 101093939 与 RISKADAPT。用于追踪 Horizon Europe 项目 deliverables、case studies 和 publications。S27

待核实

• UCL 资料使用 Prof 头衔并列出 UCL Associate Professor 岗位；UCL 新闻称其前一岗位为 University of Birmingham Professor，UCL Centre/MetaInfrastructure 页面仍列 “Professor, University of Birmingham”。BridgeUkraine newsletter 线索称其获 Birmingham Honorary Professorship，但是否为 Birmingham honorary/visiting/current adjunct title，仍需 Birmingham 或 UCL HR/appointment 页面进一步确认。S1 S3 S4 S13
• 经费总额口径存在版本差异：UCL/ORCID 当前自述口径为超过 1300 万英镑，部分会议/旧页面使用 500 万、800 万或 930 万欧元/英镑等旧口径；项目逐项金额仍应回到 UKRI/CORDIS/基金方记录核算。S1 S2 S22 S23 S24
• Google Scholar 具体引用数、h-index、“top 1%” 等影响力指标未在本次页面中固化，因为这些指标波动快且 Google Scholar 页面不稳定；需要时应在使用当天重新截图/记录。S2
• Scopus 论文数和引用数未固化；ORCID 确认 Scopus Author ID 35311205700，但 Scopus 统计需机构权限或公开 Scopus author 页复核。S2

Sources

• S1 UCL Profiles, Stergios-Aristoteles Mitoulis.
• S2 ORCID, Stergios Aristoteles Mitoulis, 0000-0001-7201-2703.
• S3 UCL News, Spotlight on… Stergios-Aristoteles Mitoulis, 2026-03-25.
• S4 UCL Bartlett, Centre for Global Infrastructure Resilience.
• S5 University of Birmingham, Resilience assessment framework for critical infrastructure in a multi-hazard environment, DOI: 10.1016/j.scitotenv.2020.136854.
• S6 University of Surrey Open Research, Vulnerability of bridges to individual and multiple hazards - floods and earthquakes, DOI: 10.1016/j.ress.2021.107564.
• S7 University of Birmingham, Restoration models for quantifying flood resilience of bridges, DOI: 10.1016/j.engstruct.2021.112180.
• S8 Natural Hazards and Earth System Sciences, Challenges and future directions in improving bridge flood resilience, 2022.
• S9 University of Birmingham, Effect of deterioration on critical infrastructure resilience, DOI: 10.1016/j.rineng.2024.103834.
• S10 Nature Communications, Rethinking infrastructure design from component failure to systemic resilience, DOI: 10.1038/s41467-025-64683-6.
• S11 ScienceDirect, Digital technologies can enhance climate resilience of critical infrastructure, DOI: 10.1016/j.crm.2021.100387.
• S12 RISKADAPT/ScienceDirect PDF, Cause-agnostic bridge damage state identification utilising machine learning, DOI: 10.1016/j.engstruct.2024.118887.
• S13 MetaInfrastructure, Home.
• S14 Nature Cities, A new paradigm for resilient and equitable post-war recovery of cities, DOI: 10.1038/s44284-026-00424-0.
• S15 ScienceDirect, Conflict-resilience framework for critical infrastructure peacebuilding, DOI: 10.1016/j.scs.2023.104405.
• S16 University of Birmingham, Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies, DOI: 10.1016/j.autcon.2024.105955.
• S17 University of Birmingham, Sustainability and resilience-driven prioritisation for restoring critical infrastructure after major disasters and conflict, DOI: 10.1016/j.trd.2025.104592.
• S18 University of Birmingham, Effect of deterioration on critical infrastructure resilience - framework and application on bridges, DOI: 10.1016/j.rineng.2024.103834.
• S19 Emerald, Editorial: How AI and digitalisation transform bridge engineering, DOI: 10.1680/jbren.2026.179.2.109.
• S20 UCL Profiles, Publications.
• S21 ScienceDirect, Threat-agnostic resilience: Framing and applications, DOI: 10.1016/j.ijdrr.2025.105535.
• S22 MetaInfrastructure, ReCharged project.
• S23 UKRI Gateway to Research, ReCharged EP/Y003586/1.
• S24 MetaInfrastructure, RISKADAPT project.
• S25 UCL Profiles, Stergios-Aristoteles Mitoulis publications.
• S26 CORDIS, ReCharged project 101086413.
• S27 CORDIS, RISKADAPT project 101093939.