جست‌وجوی استاد و پژوهشگر

• Disaster Risk Reduction
• Sustainability
• Interdisciplinarity
• +۵ مورد دیگر

Giuliano Di Baldassarre is a Professor of Hydrology and Environmental Analysis at the Department of Earth Sciences, Uppsala University , Sweden. He serves as Head of Division for LUVAL (Air, Water and Landscape Sciences) and directs the Centre of Natural Hazards and Disaster Science (CNDS) (2016–2025). His work bridges water, environment, and society through interdisciplinary methods , focusing on disaster risk reduction, climate adaptation, and sustainable development. Education : Details not explicitly provided in the text. His research examines feedbacks between human activities and hydrological processes , including floods, droughts, and reservoir management . Key themes include social-ecological systems , inequalities in water crises , and policy implications of hydrological extremes . He has pioneered sociohydrology and human-water system modeling . Recent articles highlight global drought-flood interactions , urban water inequality , climate service maladaptation , and sociohydrological modeling . His work spans Nature Sustainability , Science Advances , and Hydrological Sciences Journal . Scientific Awards : International Hydrology Prize (Volker Medal) Plinius Medal (EGU) Witherspoon Lecture Award (AGU) European Research Council Consolidator Grant He led Panta Rhei - Everything Flows (2013–2022), IAHS’s global initiative on water-society interactions. Current efforts include transdisciplinary praxis and climate risk reduction frameworks .

John Shawمشاهده پروفایل

استاد

• Geology
• Geophysics
• Planetary Science
• +۴ مورد دیگر

John Shaw is the Harry C. Dudley Professor of Structural and Economic Geology and a Professor of Environmental Science and Engineering at Harvard University's School of Engineering and Applied Sciences. He also serves as Vice Provost for Research at Harvard, overseeing institutional research strategy and initiatives. His primary research focuses on structural geology, geophysics, and earthquake hazards, particularly in active fault systems, mountain belt tectonics, and subsurface energy development. Prof. Shaw leads the Structural Geology & Earth Resources Program, an industry-academic consortium that integrates geophysical data (3D seismic surveys, remote sensing) with advanced numerical modeling to address geological and environmental challenges. Education and professional experience: Joined Harvard Faculty in 1997. His research portfolio includes collaborations with the Southern California Earthquake Center (SCEC) and the development of critical infrastructure like the SCEC Unified Community Velocity Model (UCVM). His work emphasizes practical applications such as fault stability assessments and carbon sequestration impact studies. Research interests span: 1) active fault characterization for seismic hazard mitigation, 2) tectonic evolution of mountain belts, 3) numerical modeling of fault dynamics, and 4) geomechanical impacts of subsurface energy projects. His structural modeling innovations have advanced understanding of thrust fault systems and fault-bend folding mechanisms. Professional contributions include leadership roles in interdisciplinary consortia and development of open-source geophysical software frameworks. Administrative duties at Harvard's Office of the Vice Provost for Research (VPR) focus on advancing institutional research capacity and fostering cross-disciplinary collaborations.

Meltem ŞENOL BALABANمشاهده پروفایل

دانشیار

• Risk Management
• Urban Flood Risk Management
• GIS-based Modeling
• +۵ مورد دیگر

Meltem ŞENOL BALABAN is an Associate Professor in the Department of City and Regional Planning at Middle East Technical University (METU), Ankara, Turkey. She holds a dual PhD in City and Regional Planning (METU, 2009) and Urban Engineering (University of Tokyo, 2012). Her academic career includes roles as Director of METU Disaster Management Implementation and Research Center (since 2018), Minor Program Coordinator, and Board Member of the Applied Ethic Research Center. She specializes in disaster risk management, urban resilience planning, GIS-based modeling for evacuation/shelter optimization, and climate change adaptation in urban contexts. Her research focuses on flood risk mitigation in riverine cities, institutional frameworks for cultural heritage protection (e.g., UNESCO sites), and earthquake resilience strategies. Notable projects include developing Turkey's provincial risk reduction guidelines, a climate change risk assessment framework (CRAFT) for cultural heritage, and international cooperation initiatives like the UK-funded CRAFT and NET projects. She has authored over 40 peer-reviewed publications and supervised 10+ theses. Key contributions include GIS-based evacuation models for Istanbul, comparative studies of UK/Japan/Turkey disaster policies, and post-disaster resilience assessments. Awards include JICA Scholarship (2009-2012), ProVention Research Grant (2007-2008), and multiple international recognitions for her work on urban risk reduction. Her teaching portfolio includes courses on GIS in planning, disaster management principles, and urban resilience strategies.

Ross Meentemeyerمشاهده پروفایل

استاد

• Geospatial Analytics
• Ecological Forecasting
• Biological Invasions
• +۳ مورد دیگر

Ross Meentemeyer is a Professor and Director of the Center for Geospatial Analytics at North Carolina State University, affiliated with the Department of Forestry and Environmental Resources in the College of Natural Resources. He holds a Ph.D. in Geography from the University of North Carolina, Chapel Hill (2000) and a B.S. in Geography from the University of Georgia (1993). His research focuses on geospatial analytics, ecological forecasting, biological invasions, and forest health, with a strong emphasis on integrating geospatial data and modeling to address environmental challenges. Dr. Meentemeyer's work includes developing decision-support tools for pest management, climate adaptation, and land-use planning. Notable projects involve forecasting invasive species spread via international trade, creating open-source geospatial platforms, and modeling floodplain development risks. He collaborates extensively with federal agencies like USDA, DOI, and NPS to translate research into practical solutions. His grants include multi-million dollar NSF and USDA-funded initiatives addressing plant disease pandemics, agricultural pest threats, and geospatial infrastructure development. Key outcomes include the PAdb system for pandemic prediction and the FUTURES model for urbanization forecasting. He also leads efforts to enhance stakeholder engagement through participatory modeling tools like Tangible Landscape. Research contributions span 20+ years, with over 100 peer-reviewed articles on topics like viewscape modeling, river water dynamics, and wildfire-epidemic interactions. His work bridges ecological and social sciences, emphasizing actionable solutions for sustainable land management and climate resilience.

• Climate Change Attribution
• Extreme Weather Events
• Agricultural Impacts of Climate Change
• +۳ مورد دیگر

Mariam Zachariah serves as a Research Fellow at the Centre for Environmental Policy within the Faculty of Natural Sciences at Imperial College London. She is a core contributor to World Weather Attribution (WWA), an international scientific collaboration conducting rapid climate change attribution analyses for extreme weather events globally. Her work bridges climate science, vulnerability assessment, and policy-relevant research. Her educational foundation includes a PhD from the Indian Institute of Technology Bombay (IITB), where she investigated climate impacts on Indian agriculture. This research focused on drought and extreme temperature effects on crop yields in major agrarian regions, recognizing agriculture's critical role in India's climate-vulnerable economy. Zachariah's research centers on near-real-time attribution of extreme events to quantify human-induced climate change influences. Her expertise spans climate modeling, statistical analysis of extreme weather, and integrating vulnerability frameworks to assess compound impacts on communities. She examines how climate change interacts with socioeconomic factors to exacerbate disasters, particularly in agricultural systems and flood-prone regions worldwide. Analysis of her recent publications reveals a dominant focus on rapid attribution of droughts, floods, and heatwaves across diverse global contexts - from the Horn of Africa to Central Europe and South America. These studies consistently demonstrate climate change as a significant amplifier of event severity, while emphasizing how pre-existing vulnerabilities determine actual impacts. Her work increasingly addresses compound hazards and the intersection of climate change with infrastructure failures and land management. As a key member of the World Weather Attribution initiative, Zachariah collaborates with climate scientists, social scientists, and vulnerability experts in a unique operational framework that delivers scientific assessments within days of extreme events. This work directly informs policymakers, media, and affected communities about climate change's role in contemporary disasters.

Lifeng Zhouمشاهده پروفایل

استادیار

• Robotics
• Algorithms
• Combinatorial Optimization
• +۴ مورد دیگر

Lifeng Zhou is an Assistant Professor in the Department of Electrical and Computer Engineering at Drexel University, where he leads the Zhou Lab focused on advancing robustness and reliability in multi-robot systems through integration of foundation models. His research addresses real-world challenges in environmental monitoring, disaster response, and urban mobility. Education PhD, Electrical and Computer Engineering, Virginia Tech, 2020 MS, Control Science and Engineering, Shanghai Jiao Tong University, 2016 BS, Automation, Huazhong University of Science and Technology, 2013 Research Focus Dr. Zhou's work integrates robotics, algorithms, game theory and machine learning to develop secure and scalable autonomous systems. Primary research thrusts include: Resilient multi-robot coordination in adversarial environments Large language model integration for robotic decision-making Game-theoretic resource allocation strategies Risk-aware planning for autonomous vehicles Publication Trends Recent work (2024-2025) demonstrates strong focus on large language model applications in multi-robot systems, with 12/15 articles exploring LLM integration for flocking, scene segmentation, and decision-making. Additional emphasis includes adversarial robustness in target tracking (5 articles) and autonomous driving applications (4 articles). Awards and Recognition Best Paper Award, WACV 2025 LLVM-AD Workshop Professional Service Associate Editor, ICRA Conference Editorial Board Laboratory Focus The Zhou Lab develops foundational algorithms for secure and scalable multi-robot systems, with current projects spanning environmental monitoring drones, disaster response coordination, and autonomous vehicle perception systems.

Lisa Wangمشاهده پروفایل

استادیار

• Community Resilience Modeling
• Structural Engineering
• Disaster Risk Reduction
• +۴ مورد دیگر

Dr. Lisa Wang is a tenure-track Assistant Professor in the Department of Civil & Environmental Engineering at Old Dominion University (ODU). She holds a Ph.D. and Postdoctoral Fellowship in Structural Engineering from Colorado State University (CSU), with additional research at NIST’s Center for Risk-Based Community Resilience Planning. She is a licensed California Professional Engineer (PE) and has expertise in multidisciplinary community resilience assessment, mitigation strategies, and policy analysis. Her research focuses on integrating physical, socio-economic, and infrastructural systems to enhance disaster resilience in coastal and hazard-prone communities. Education: Ph.D. and Postdoc (CSU, 2022-2024), M.S. in Structural Engineering (University of Colorado Denver & Jilin University, 2015), B.S. in Civil Engineering (Jilin University, 2012). Professional licenses include CA PE #94251 and CO EIT #007558. Research Interests: Community resilience under multi-hazards (tornadoes, floods, climate change), resilience-based design of structural systems, data fusion across disciplines, and equitable decision-making for disaster resilience. Recent grants include $31k for AI-driven coastal resilience strategies and $10k for minimum building portfolio development. Grants & Awards: Principal Investigator (PI): Trustworthy AI in Coastal Resilience (ICAR, $31k), AI-Driven Building Portfolios (ODU PURS, $10k) Awards: O. H. Ammann Fellowship (ASCE), ICAR Travel Grant, AGU NSF Travel Grant, Jack E. Cermak Fellowship Labs & Teams: Wang Research Group and Structural Engineering Research Laboratory at ODU.

Halina Frydmanمشاهده پروفایل

استاد

• Survival Analysis
• Markov Processes
• Stochastic Modeling
• +۷ مورد دیگر

Halina Frydman is a Professor in the Department of Statistics and Operations Research at the Leonard N. Stern School of Business, New York University, where she has been a faculty member since 1978. Her academic work bridges statistical theory and real-world applications in finance and labor economics. Institution: New York University School: Leonard N. Stern School of Business Department: Department of Statistics and Operations Research Academic Rank: Professor Email: hf2@stern.nyu.edu Education: Ph.D. in Mathematical Statistics, Columbia University, 1978 M.A. in Mathematical Statistics, Columbia University, 1974 B.S. in Physics and Mathematics, Cooper Union, 1972 Research Interests: Professor Frydman specializes in survival analysis and Markov processes , with a strong focus on their applications in financial modeling and labor market dynamics . Her work explores mixture models of Markov chains to capture heterogeneity in longitudinal data, particularly in the context of corporate credit rating migrations and employment/unemployment transitions. She also contributes to methodological advances in stochastic modeling and statistical inference for time-to-event data. Publication Trends: Her recent research, reflected in reconstructed articles, demonstrates a consistent focus on developing and applying advanced statistical models—particularly survival models, Markov chains, and mixture models—to problems in finance and economics. There is a clear progression toward more complex, data-driven models incorporating Bayesian methods, high-dimensional estimation, and time-varying effects. Scientific Awards: No awards explicitly mentioned in the source text. Advising and Grants: While specific advisees and grant funding are not listed in the available text, Professor Frydman's long-standing research program and publications in premier journals such as the Journal of the American Statistical Association and The Journal of Finance suggest a significant scholarly impact and likely history of research sponsorship. She teaches core courses including Regression & Forecasting Models , Stochastic Processes I , and Stochastic Models in Finance , indicating active engagement in graduate education. Labs and Research Teams: No specific laboratories or research groups are mentioned in the provided content. However, her research aligns with interdisciplinary efforts in financial statistics and econometric modeling, potentially involving collaboration within NYU’s broader quantitative research community.

• Autonomous Systems
• Marine and Maritime Risk Analysis
• Operational Risk Management
• +۴ مورد دیگر

Professor Ingrid Bouwer Utne is a faculty member at the Department of Marine Engineering, Norwegian University of Science and Technology (NTNU). Her primary research focuses on risk analyses of ships, marine systems, and autonomy, with emphasis on operational safety, maintenance management, and risk control in autonomous maritime technologies. Key Projects: Leader of the Risk Group at NTNU, involved in the SFI Autoship initiative and ERC AdG BREACH project addressing risk-based rationality in autonomous systems. Research Interests: Autonomous systems design, probabilistic risk assessment, safety engineering, and risk-informed decision-making for marine operations. Grants & Funding: Secured funding from the Research Council of Norway, MAROFF, and industry partners for projects like ORCAS (Online Risk Management for Autonomous Ships) and UNLOCK (Supervisory Risk Control). She supervises numerous PhD students and postdocs, focusing on topics such as autonomous vessel navigation, risk modeling for underwater robotics, and decarbonization of maritime systems. Her work bridges theoretical risk analysis with practical applications in marine autonomy and safety systems.

Kuanshi Zhongمشاهده پروفایل

استادیار

• Structural Engineering
• Earthquake Engineering
• Seismic Design and Safety
• +۴ مورد دیگر

Kuanshi Zhong is an Assistant Professor in the Department of Civil and Architectural Engineering and Construction Management at the University of Cincinnati. He holds a PhD from Stanford University (2021) in Civil and Environmental Engineering, with prior degrees from Stanford (Master, 2017) and Tongji University (Bachelor, 2015). His research focuses on earthquake engineering, structural resilience, and advanced computational methods for infrastructure safety. Key research interests include seismic design of tall buildings, probabilistic modeling of structural response (e.g., using Probabilistic Learning on Manifolds), and material failure mechanisms in reinforced concrete. He also explores multi-hazard resilience, regional risk assessment, and software tools for disaster simulation (e.g., R2DTool and EE-UQ). Dr. Zhong has secured grant funding as PI/Co-PI, including a National Science Foundation grant (2023-2026) for equitable building decarbonization strategies and a Concrete Reinforcing Steel Institute grant (2024-2025) for bar performance improvements. He teaches graduate/undergraduate courses on concrete design and structural mechanics. His work spans collaborations with institutions like Stanford University and the SimCenter, contributing to open-source tools for regional loss assessments and hurricane impact modeling. Current projects address cascading hazards, steel reinforcement durability, and high-resolution seismic risk evaluation.

• Earthquake Engineering
• Structural Dynamics
• Seismic Risk Assessment
• +۳ مورد دیگر

Prof. Dr. Hakkı Polat Gülkan is a Professor at Başkent University's Civil Engineering Department. With a PhD (1971) and Master's (1968) from the University of Illinois in Civil Engineering and a Bachelor's (1966) from METU, his career spans over five decades in earthquake engineering, structural dynamics, and disaster management. PhD: University of Illinois, Civil Engineering (1971) Master's: University of Illinois, Civil Engineering (1968) Bachelor's: Middle East Technical University, Civil Engineering (1966) His research focuses on seismic risk assessment, structural behavior under extreme loads, and disaster mitigation strategies. Key contributions include earthquake simulator development, ground motion analysis, and retrofitting techniques for masonry and reinforced concrete structures. He has published extensively on deformation limits, response spectra, and historical building preservation. Recent work includes 15+ articles from 2024-2012 analyzing Istanbul's seismic hazards, Marmara region dynamics, and post-earthquake structural integrity. Conference papers address Turkey's endemic building vulnerabilities and deformation thresholds for seismic isolation systems. Scientific Achievements: Elected to U.S. National Academy of Engineering (2023) As an active journal reviewer for 13+ publications (2023-2024), he contributes to advancing earthquake engineering discourse. His teaching portfolio includes advanced structural analysis, concrete mechanics, and seismic design courses.

Ian Mainمشاهده پروفایل

استاد

• Geophysics
• Seismology
• Rock Physics
• +۷ مورد دیگر

Ian Main is a Professor of Seismology and Rock Physics at the University of Edinburgh since 2000, within the School of GeoSciences. Previously, he held roles as Reader (1996–2000) and Lecturer (1989–1996) in similar fields. He earned a BSc in Physics from the University of St Andrews, an MSc in Geophysics from the University of Durham, and a PhD in Seismology from the University of Edinburgh. His research focuses on quantifying natural hazards, catastrophic failure mechanisms (e.g., earthquakes, volcanic eruptions), and fluid-rock interactions. He explores these phenomena through complex systems theory and non-linear dynamics, with applications to subsurface processes and urban disaster resilience. Main has held leadership roles including Director of Research at the School of GeoSciences and membership in national/international bodies such as the Natural Environment Research Council Science Committee and the Royal Society of Edinburgh Research Committee. He contributed to high-profile initiatives like the UKRI GCRF Multi-Hazard Urban Disaster Risk Transitions Hub and the International Commission on Earthquake Forecasting. Notable awards include the Louis Néel Medal (2014) and the Ed Lorenz Lecture (2019). He has been a visiting scholar at institutions like Stanford University and the Centre for Mathematical Research, Barcelona.

Yuki Miuraمشاهده پروفایل

استادیار

• Climate Risk Assessment and Management
• Urban Resilience and Adaptation
• Engineering, Social Science, and Economics
• +۳ مورد دیگر

Dr. Yuki Miura serves as Assistant Professor at New York University's Tandon School of Engineering in the Department of Mechanical and Aerospace Engineering and Center for Urban Science and Progress (CUSP), with additional affiliations at NYU Stern's Volatility and Risk Institute and the New York City Panel on Climate Change (NPCC5). Her academic credentials include a Ph.D. (2022), M.Phil. (2021), and M.S. (2017) in Civil Engineering and Engineering Mechanics from Columbia University, complemented by a B.Eng. in System Design Engineering from Keio University (2015). Dr. Miura's research integrates engineering, climate science, finance, and social sciences to develop actionable resilience solutions. Her work focuses on climate risk quantification , urban adaptation strategies , and socioeconomic impact modeling through advanced data analytics. She pioneers methodologies that couple physical climate modeling with socioeconomic vulnerability assessments to deliver implementable risk mitigation frameworks for public and private institutions. Her publication portfolio demonstrates consistent advancement in climate risk analytics, with recent work addressing urban flooding dynamics, precipitation extremes, and infrastructure protection. These studies reveal a distinct trajectory toward integrated risk modeling that bridges climate physics with financial and social dimensions, increasingly leveraging AI-driven approaches for compound hazard assessment. Recognition for her contributions includes the Mindlin Scholar award from Columbia University (2022), with research featured in The New York Times , The New Yorker , and The Nikkei . As director of the Climate, Energy, and Risk Analytics Lab (CERA), Dr. Miura mentors graduate students in developing data-driven solutions for climate resilience. Her industry experience at Morgan Stanley (2021-2024) in climate risk management directly informs her applied research approach, fostering strong connections between academic innovation and real-world implementation. CERA operates as an interdisciplinary hub developing AI-driven methodologies for urban flood modeling, compound climate risk assessment, and socioeconomic impact analysis. The lab maintains active collaborations with the National Center for Atmospheric Research and New York City/State governments to translate research into actionable climate adaptation policies.

Patrick Brownمشاهده پروفایل

دانشیار

• Spatial Statistics
• Cancer Statistics
• Statistical Software
• +۳ مورد دیگر

Patrick Brown is an Associate Professor at the University of Toronto , affiliated with the Department of Statistical Sciences and cross-appointed to the Centre for Global Health Research and St. Michael's Hospital . His research focuses on spatio-temporal data modeling , Bayesian inference , and non-parametric methods for spatial epidemiology and environmental sciences. Fields of Interest : Spatial Statistics, Cancer Statistics, Statistical Software Education : PhD from University of Lancaster His methodological work encompasses Bayesian inference for non-Gaussian spatial data, Gaussian Markov random fields, and computational techniques like INLA and MRA. Applied research themes include disease mapping, environmental risk assessment, and public health surveillance using real-world data sources such as electronic health records and wastewater monitoring . He has developed key R packages (mapmisc, geostatsp, diseasemapping) supporting spatial statistical applications. Current collaborative projects span diverse fields: Ultra-diffuse galaxy detection with astrophysical applications Multi-pollutant mortality studies in Canadian cities SARS-CoV-2 seropositivity tracking Homelessness population estimation using EHR Geospatial cancer risk tools for Nova Scotia His work bridges statistical innovation with global health challenges , emphasizing computationally efficient solutions for large-scale spatiotemporal datasets.

Bonadonna Costanzaمشاهده پروفایل

استاد

• Volcanic Ash Dispersal
• Volcanic Risk Assessment
• Physical Volcanology
• +۲ مورد دیگر

Costanza Bonadonna is a Full Professor at the University of Geneva (since 2019), specializing in volcanic hazards and Earth sciences. She holds a PhD supported by the European Commission (1998–2000) and has held academic positions across institutions including the University of South Florida and University of Hawaii. Her research focuses on volcanic ash dispersal modeling, risk assessment, and physical volcanology, with notable contributions to understanding tephra deposits and eruption dynamics. Bonadonna has received prestigious awards such as the 2020 AGU Volcanology presidency and the International Galileo Galilei Award. She leads the CERG-C (Centre for Environmental Risk Studies) and has organized major international workshops on volcanic risk and ash dispersal. Her work integrates numerical modeling, field investigations, and geophysical observations to enhance volcanic hazard forecasting and community resilience strategies. Research Grants: 2019–2023: SNSF Probabilistic volcanic risk framework 2018–2021: H2020 NEWTON-g and EUROVOLC networks 2017–2020: SNSF Gravitational instabilities in volcanic clouds Awards: 2020 President elect of AGU Volcanology Division Galileo Galilei Award (2020) Outstanding Woman in Science (2004, GSA) She has advised numerous international projects and collaborates with global institutions through initiatives like MeMoVolc and NEMOH. Her research bridges geophysical observations with computational models to address multi-hazard scenarios and improve disaster preparedness.