جست‌وجوی استاد و پژوهشگر

Johan Maljaarsمشاهده پروفایل

استاد

• Aluminium Structures
• Fatigue and Fracture Mechanics
• Structural Fire Resistance
• +۳ مورد دیگر

Prof. dr. ir. Johan Maljaars holds the position of Full Professor and Chair of Aluminium Structures at Eindhoven University of Technology's Department of Built Environment, Unit of Structural Engineering and Design. He also serves as Principal Scientist for metal structures at TNO. His expertise encompasses structural performance of aluminium structures, fatigue and fracture mechanics of metal structures, and structural fire resistance. His research investigates reliability aspects of fatigue-loaded structures including bridges and wind turbines, employing advanced computational mechanics and experimental validation. Research outputs focus on fatigue life prediction, fracture mechanics modeling, structural safety assessment, and innovative repair techniques. Recent publications develop multiscale approaches for defect analysis in metallic structures and probabilistic methods for infrastructure safety. Professor Maljaars contributes to significant projects including 'Growing with Green Steel' and 'SUBLIME', which aim to advance sustainable and reliable steel infrastructure through fundamental research and practical applications.

Luigi Lombardoمشاهده پروفایل

دانشیار

• Geohazards
• Landslide Modeling
• Environmental Science
• +۳ مورد دیگر

Luigi Lombardo is an Associate Professor in the Department of Applied Earth Sciences and affiliated with the Digital Society Institute. His research focuses on geohazards, particularly landslides, wildfires, and cascading disasters. He applies advanced geospatial analysis, machine learning, and remote sensing techniques to model environmental risks and improve disaster management. Key research interests include landslide susceptibility modeling, earthquake-induced hazards, climate change impacts, and spatial-temporal data science. He develops innovative tools like the SZ-plugin for QGIS, enhancing geohazard analysis accessibility. Recent work addresses post-seismic recovery dynamics, Arctic thaw slumps, and probabilistic landslide assessments across global regions (e.g., Colombia, Turkey, Italy). His studies emphasize interdisciplinary approaches to bridge geoscience and societal needs, contributing to UN Sustainable Development Goals related to climate action and disaster resilience. Publications highlight methodological advancements such as physics-informed neural networks, functional regression for landslide prediction, and ensemble modeling for multi-hazard scenarios. He collaborates internationally to build open datasets like the Arctic Retrogressive Thaw Slump (ARTS) inventory. Research trends show a focus on integrating AI with geophysical principles, improving early warning systems, and quantifying cascading risks from coupled natural-human systems. His work aims to inform policy decisions and enhance community resilience through actionable scientific insights.

• Hydrometeorology
• Hydroclimatology
• Climate Science
• +۴ مورد دیگر

Dr. Benjamin Hatchett is a Research Professor in the Department of Atmospheric Sciences at the Desert Research Institute (DRI). His research focuses on hydrometeorology and hydroclimatology, particularly in dryland and alpine regions across past, present, and future contexts. He is actively involved in projects related to snow drought dynamics, climate change impacts, and environmental risk communication. His work bridges gaps between scientific data and public understanding, such as improving heat risk messaging and visualizing probabilistic forecast information. Key affiliations include the Western Regional Climate Center and collaborations with state agencies like Nevada's Department of Transportation. Research interests include snowpack evolution, rain-snow transition zone analysis, wildfire-climate interactions, and citizen science applications. Hatchett has contributed to developing real-time snow drought tracking tools and assessing the societal implications of climate extremes. His interdisciplinary approach integrates hydrology, atmospheric science, and public health to address challenges in climate adaptation and disaster resilience.

Anne Heggliمشاهده پروفایل

استاد پژوهشی

• Hydrometeorology
• Snow Science
• Atmospheric Sciences
• +۳ مورد دیگر

Dr. Anne Heggli is an Assistant Research Professor in Mountain Hydrometeorology at the Desert Research Institute (DRI). Her research focuses on developing decision support systems for climate responders, emphasizing co-production with operational agencies. She specializes in rain-on-snow events, snowpack monitoring technologies, and improving probabilistic forecast communication. Heggli holds a Ph.D. in Atmospheric Sciences from the University of Nevada, Reno, alongside degrees in Water Resource Management and International Relations/Spanish. Education: Ph.D. in Atmospheric Sciences, University of Nevada, Reno (2023) M.S. in Water Resource Management, Fresno State University (2017) B.A. in International Relations and Spanish, San Francisco State University (2009) Research Interests: Heggli’s work integrates field observations and decision support tools to address climate challenges. Key areas include: Real-time snowpack monitoring and runoff prediction Probabilistic forecast visualization for stakeholders Citizen science applications in precipitation phase analysis Climate adaptation for water resource management Grants & Awards: Recipient of Desert Research Institute’s 1st Place Graduate Student Poster Competition (2023) Jerry and Betty Wilson Scholarship ($4,000, 2022) Long Now Foundation Science Fellowship ($35,000, 2022) Lab & Collaborations: Heggli leads projects at DRI’s Atmospheric Sciences division, partnering with National Weather Service offices, Bureau of Reclamation, and Nevada Department of Transportation. She co-founded Alpine Hydromet to advance snowpack monitoring technologies.

Hamed Ebrahimianمشاهده پروفایل

استادیار

• Structural Health Monitoring
• Bayesian Inference
• Uncertainty Quantification
• +۶ مورد دیگر

Hamed Ebrahimian is an Assistant Professor in the Department of Civil & Environmental Engineering at the University of Nevada, Reno (UNR). He holds a PhD in Structural Engineering from UC San Diego and completed postdoctoral research at Caltech. His research focuses on integrating computational models with sensory data, Bayesian inference, and wildfire engineering. Key areas include structural health monitoring, nonlinear finite element modeling, and disaster resilience. He is actively recruiting motivated PhD students and postdoctoral scholars for projects in data assimilation, offshore wind turbine systems, and wildfire risk assessment. Education: PhD in Structural Engineering, UC San Diego Postdoctoral Scholar, California Institute of Technology (Caltech) Research Interests: Wildfire simulation and risk assessment Bayesian model updating and digital twinning Structural health monitoring and nonlinear mechanics Offshore wind turbine dynamics Experimental and computational structural mechanics Article Trends: Recent work emphasizes wildfire modeling (fuel characterization, firebrand spotting), offshore wind turbine structural analysis, and Bayesian methods for system identification. Over 40 publications span structural engineering, environmental systems, and computational mechanics. Advising & Grants: Seeks candidates with strong programming skills (Python, C++) and background in nonlinear mechanics or data science. Active projects funded by NSF CAREER and industry collaborations. Lab/Teams: Leads UNR's interdisciplinary research group focusing on computational modeling, data-driven decision making, and infrastructure resilience.

Ramla Qureshiمشاهده پروفایل

استادیار

• Structural Engineering
• Resilient Infrastructure Systems
• Fire Safety Engineering
• +۷ مورد دیگر

Dr. Ramla Qureshi is an Assistant Professor in the Department of Civil Engineering at McMaster University. Her research focuses on structural resilience against extreme hazards such as earthquakes, fires, and blasts, employing advanced experimental mechanics and real-time hybrid simulation techniques. She also advocates for gender equity in STEM through her role as founder of Women Engineers Pakistan (WEP), recognized by a 2020 Global Finalist nomination at the Falling Walls Conference. Education: She holds a Ph.D. (2021) and M.Sc. (2016) in Civil Engineering from the University at Buffalo, SUNY, USA. Her doctoral thesis evaluated steel columns under fire using real-time hybrid testing, supervised by Dr. Negar Elhami-Khorasani, while her master’s thesis addressed steel plate shear walls under long-duration earthquakes under Dr. Michel Bruneau. Research Interests: Qureshi’s work integrates structural resilience with sustainability, emphasizing risk assessment, uncertainty modeling, and reliability analysis for performance-based design. Her recent projects explore wildfire impacts on infrastructure and climate-resilient urban planning, leveraging computational tools and cyber-physical testing methodologies. Awards & Grants: Recipient of the NSERC Discovery Grant (2022), BC Forestry Innovation Investment (2022-23), Fulbright Scholarship, and AAUW Doctoral Fellowship. Her contributions to STEM equity have earned global recognition. Teaching: Instructs CIVENG 4N04 Steel Structures, covering gravity/lateral load design, member behavior, and connection detailing. She emphasizes practical applications of structural mechanics principles. Labs & Teams: Engaged in interdisciplinary resilience research, collaborating on large-scale simulations and finite element modeling. Her work bridges academia and industry, addressing real-world challenges in hazard-resistant infrastructure design.

Yousef Darestaniمشاهده پروفایل

استادیار

• Infrastructure Systems Resilience
• Risk and Reliability Engineering
• Wind Engineering
• +۴ مورد دیگر

Dr. Yousef Darestani is an Assistant Professor in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University (MTU). Previously, he served as a postdoctoral researcher at Rice University's Department of Civil and Environmental Engineering. He holds a PhD in Civil Engineering from The Ohio State University (2019), an MSc in Structural Engineering from Sharif University of Technology (2014), and a BSc in Civil Engineering from the University of Tehran (2011). Affiliations: Great Lakes Research Center (GLRC), MTU Teaching: Structural Analysis, Structural Reliability His research focuses on enhancing the resilience of infrastructure systems against natural hazards, particularly wind and storm-induced risks. Key areas include machine learning applications for risk assessment, wildfire mitigation in power grids, and lifecycle cost analysis of structural components. He develops probabilistic models to evaluate infrastructure vulnerability and devise cost-effective enhancement strategies. Recent publications highlight advancements in hurricane resilience frameworks, wildfire-affected power distribution networks, and multi-hazard assessment methodologies. His work bridges engineering principles with socio-technical systems, emphasizing community resilience and climate adaptation. Teaching and research activities are complemented by interdisciplinary collaborations, including data-driven approaches in biomedical engineering (e.g., prosthetic valve performance prediction). His lab integrates computational modeling, field data analysis, and experimental validation to address real-world challenges in critical infrastructure.

Varvara Zaniaمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Soil-Structure Interaction
• Geotechnical Earthquake Engineering
• +۵ مورد دیگر

Varvara Zania is an Associate Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU). Her research focuses on geotechnical engineering, soil-structure interaction, and seismic analysis, with contributions to sustainable infrastructure and soil improvement technologies. **Education**: PhD in Mechanics (2009), Technical University of Crete MSc in Underground Constructions (2004), National Technical University of Athens Civil Engineering Diploma (2003), National Technical University of Athens **Research Interests**: Dynamic soil-structure interaction Seismic stability of geotechnical systems Physical modeling and centrifuge testing Geosynthetics and soil improvement techniques Probabilistic geotechnical analysis **Recent Research Trends**: Her work emphasizes sustainable infrastructure solutions, probabilistic site characterization, and advanced numerical modeling. Key areas include deep excavations, offshore wind turbine foundations, and geotechnical responses under extreme loading. **Advising & Projects**: Supervises PhD students on topics like deep excavation behavior, rammed earth materials, and soil parameter uncertainty. Leads projects funded by DTU and industry partners, focusing on sustainable geotechnical design and infrastructure resilience. **Labs/Teams**: Engaged in multidisciplinary teams at DTU, collaborating on projects involving geotechnical testing, numerical simulations, and field applications.

• Structural Engineering
• Structural Reliability Analysis
• Design Optimization
• +۵ مورد دیگر

Mohamed El Amine Ben Seghier is an MSCA Fellow and Part-Time Lecturer at the Department of Built Environment, Oslo Metropolitan University. His research focuses on structural reliability analysis, corrosion modeling, and machine learning applications in civil engineering infrastructure. He explores maintenance optimization for deteriorating structures, including pipelines, bridges, and energy systems, with a particular emphasis on corrosion degradation and predictive frameworks. His work integrates advanced machine learning techniques to address challenges in structural resilience, design optimization, and recycling strategies. He has produced over 90 peer-reviewed publications, with recent contributions focusing on hybrid deep learning models for corrosion prediction, geothermal energy piles, and probabilistic frameworks for infrastructure failure analysis. Key research areas include: Structural reliability and risk assessment Machine learning in civil engineering Material degradation modeling Infrastructure maintenance scheduling Offshore and subsea pipeline integrity His publications demonstrate a strong focus on integrating empirical data with computational models to enhance infrastructure resilience against environmental and operational stresses.

Abbie B. Lielمشاهده پروفایل

استاد

• Disaster risk reduction
• Structural engineering
• Seismic collapse performance
• +۶ مورد دیگر

Abbie B. Liel is a Professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado Boulder, affiliated with the Mortenson Center in Global Engineering. She holds a BSE from Princeton University, MS degrees from University College London, and a PhD from Stanford University. Her research focuses on disaster risk reduction, including multihazard risks to housing, functional recovery of infrastructure, and climate change impacts on the built environment. Education: PhD, Civil and Environmental Engineering, Stanford University, 2008 MSc, Building and Urban Design, University College London, 2004 MSc, Civil and Environmental Engineering, University College London, 2003 BSE, Civil and Environmental Engineering, Princeton University, 2002 Research Interests: Seismic collapse performance prediction Building code provisions for extreme loads Nonlinear structural modeling Post-disaster housing safety perceptions Functional recovery of buildings and communities Climate change adaptation in infrastructure design Awards & Recognition: Best Paper Award, Fire Technology (2024) NSF CAREER Award (2012) ASCE Fellow Marshall Scholar (2002) Advising & Grants: Advised PhD students including Casie Venable (completed 2020) and Lianne Britto Recipient of GAANN fellowships in Integrative Reengineering of Infrastructure Developed curricula emphasizing disaster resilience and sustainable design Labs & Teams: Leads the Global Performance Research Group, collaborating with international teams in the Philippines, Puerto Rico, and Nepal to assess post-disaster housing resilience and functional recovery.

Seher Suendam Arıcıمشاهده پروفایل

پژوهشگر

• Maritime Safety
• Human Factors Engineering
• Risk Assessment
• +۲ مورد دیگر

Seher Suendam Arıcı is a Researcher in the Department of Maritime Transportation and Management Engineering at Istanbul Technical University, Turkey. Her work focuses on enhancing safety in maritime operations through advanced risk modeling and human reliability analysis. Her research expertise includes: Maritime Safety Systems Human Factors in Ship Operations Probabilistic Risk Assessment Reliability Engineering Applications Tanker-Specific Safety Protocols Dr. Arıcı employs cutting-edge methodologies including Bayesian networks, fuzzy logic, Z-numbers, and CREAM to address critical safety challenges. Her publication trends (2020-2025) reveal concentrated research on electrical fire risks in tanker accommodations, human error prediction in chemical tanker heating processes, and LNG bunkering safety. Notable contributions include developing predictive models for helicopter transfer operations and emergency fire pump reliability, with work published in Ocean Engineering and Journal of Marine Science and Application.

Wei Gaoمشاهده پروفایل

استاد

• Structural Engineering
• Mechanical Engineering
• Stochastic Analysis and Modelling
• +۶ مورد دیگر

Professor Wei Gao is a faculty member at the School of Civil and Environmental Engineering, University of New South Wales. His research focuses on integrating AI and machine learning with structural engineering, stochastic mechanics, composite materials, and infrastructure safety against natural hazards. He leads national research grants including ARC-funded projects on generative design of nondeterministic impacts and data-driven structural safety assessment. Research Interests: AI-driven structural analysis/design Computational uncertainty mechanics Composite materials and metamaterials Infrastructure safety under fire/natural hazards Engineered cementitious composites Grants & Projects: ARC Discovery Projects (e.g., DP240102559, DP210101353) ARC Linkage Projects (e.g., IH210100048, IH200100010) Focus areas: wildfire safety, composite material optimization, circular economy in construction Editorial Roles: Editor-in-Chief of Modelling: An International Journal Associate Editor of Engineering Structures Subject Editor of Applied Mathematical Modelling His work spans computational tools for structural assessment, smart material design, and probabilistic safety frameworks. Current projects address AI-assisted design, sustainable materials, and fire-resilient infrastructure systems.

• Extreme Weather Attribution
• Climate Change Impact Analysis
• Statistical Modeling
• +۳ مورد دیگر

Clair Barnes is a Research Associate at Imperial College London's Centre for Environmental Policy within the Faculty of Natural Sciences. She contributes to climate change research through her work at the Grantham Institute and the World Weather Attribution initiative since 2022. PhD in Statistical Science from University College London Her research focuses on improving probabilistic attribution methodologies to quantify climate change impacts on extreme weather events. She specializes in multi-model ensemble forecasts and uncertainty quantification within a multivariate Bayes Linear framework. Recent publications analyze extreme weather attribution across diverse regions, including wildfires in Canada, droughts in the Horn of Africa, and heatwaves in Europe. Her work emphasizes the interplay between climate change and natural variability, with methodological advances in spatial climate modeling and data analytics. Clair actively collaborates on climate research tools like xclim and investigates compound hazards from climate extremes. She participates in interdisciplinary initiatives addressing climate impacts on vulnerable communities globally.

Brad Washaمشاهده پروفایل

استادیار

• Wildland Fire Management
• Prescribed Fire
• Fuel Treatments
• +۴ مورد دیگر

Brad Washa serves as a Professional Practice Assistant Professor in the Wildland Resources department at Utah State University, with office location NR 340. His research centers on landscape-scale fire resilience through advanced fuels management, specifically: Design and implementation of prescribed fire operations Quantitative assessment of treatment effectiveness Atmospheric smoke dispersion modeling and mitigation Probabilistic risk analysis for wildfire scenarios Strategic planning frameworks for fire-adapted communities Combatting misinformation in wildland fire science communication No scientific awards or student advising records were documented in the source material. Research activities include operational fire management partnerships and cross-agency coordination for landscape resilience initiatives, though specific grants or laboratory facilities were not referenced.

• Plant Safety
• Risk Analysis
• Fire Protection Engineering
• +۷ مورد دیگر

Professor Ulrich Krause serves as Chair of Plant Engineering and Plant Safety at Otto von Guericke University Magdeburg's Faculty of Process and Systems Engineering since 2011. His research establishes scientific foundations for plant safety through advanced mathematical and experimental methods, addressing critical gaps in technology risk assessment. 1980-1985: Dipl.-Ing. in Fluid Mechanics and Technical Thermodynamics, TU Dresden 1989: Dr.-Ing. on non-equilibrium two-phase flow, TU Dresden 2001: Habilitation on heat/mass transfer in dust explosion safety, TU Dresden 2001: Habilitation in Safety Engineering, TU Berlin His work integrates deterministic and probabilistic safety analysis for industrial plants, focusing on fire/explosion prevention in chemical facilities, recycling plants, and bulk material storage. Research spans combustion dynamics of solids/liquids, self-ignition mechanisms, silo/hazard simulations, and explosion protection system validation through experimental and computational fluid dynamics approaches. Professor Krause leads research groups in Renewable Energies and Fluidized Bed Technology, collaborating with Berlin Fire Department, Siemens AG, BAM Federal Institute, TU Dresden, Dräger Safety, and ZVEI electronics association to translate theoretical safety concepts into industrial applications.