جست‌وجوی استاد و پژوهشگر

Anca Cotet Grecuمشاهده پروفایل

استاد

• Public Economics
• Health Economics
• Gender Economics
• +۵ مورد دیگر

Anca Cotet Grecu is a Professor of Economics at Seton Hall University's Department of Economics and Legal Studies within the Stillman School of Business. Her research focuses on public economics, health economics, gender economics, and political economy, with particular emphasis on topics like substance abuse policy, healthcare regulation, and the socioeconomic impacts of oil wealth. She has published extensively in journals such as Journal of Demographic Economics , Health Economics , and American Economic Journal: Macroeconomics . Her work includes studies on the effects of telehealth mandates, prescription drug monitoring programs, and the relationship between oil discoveries and gender inequality. She has received awards such as the Stillman Teacher of the Year (2022) and Stillman School of Business Researcher of the Year (2021). Courses taught include Intermediate Microeconomics, Health Economics, and Public Economics. Research highlights include analyzing the impact of diabetes mandates on infant health, evaluating the consequences of medical malpractice reforms, and exploring the intersection of economic growth, obesity, and health outcomes. Her work frequently employs rigorous econometric methods to assess policy impacts and societal trends.

Katsu Godaمشاهده پروفایل

دانشیار

• Earthquake Engineering
• Tsunami Risk Assessment
• Seismic Hazard Analysis
• +۵ مورد دیگر

Dr. Katsu Goda is an Associate Professor and Canada Research Chair in Multi-Hazard Risk Assessment at the Department of Earth Sciences, Western University. His research focuses on earthquake and tsunami risk management, combining engineering, financial analysis, and decision-making frameworks. He holds an office in BGS 1076 and can be reached at kgoda2@uwo.ca. Dr. Goda's work spans multidisciplinary areas including probabilistic seismic hazard modeling, tsunami engineering, and financial risk analysis. His research addresses lifecycle cost analysis of structures, seismic risk mitigation techniques, and decision-making under uncertainty. Notable contributions include stochastic finite-fault modeling, seismic loss estimation, and multi-hazard risk assessment for subduction zone earthquakes. His recent articles emphasize advanced methodologies in rupture recurrence analysis, Coulomb stress changes on faults, and tsunami hazard modeling in Makran and Cascadia subduction zones. He has also contributed to studies on earthquake insurance demand in Canada and social vulnerability assessments in coastal regions like Gwadar, Pakistan. Awards: Canada Research Chair (CRC) Tier 2 in Multi-Hazard Risk Assessment Research Themes: Earthquake-Tsunami Interactions Risk-Based Early Warning Systems Financial Instruments for Catastrophe Mitigation Teaching: Courses include Data Analysis in Earth Sciences (ES 2222), Environmental Geophysics (ES 3320), and Natural Catastrophes (GP 9573). Dr. Goda collaborates internationally, with active projects in Japan, Malawi, and Canada. His research integrates cutting-edge computational models with real-world applications to enhance community resilience against natural disasters.

Gabriele Villariniمشاهده پروفایل

استاد

• Flood Hydrology
• Extreme Events
• Hydroclimatology
• +۳ مورد دیگر

Professor Gabriele Villarini is a faculty member at Princeton University, holding dual appointments in the Department of Civil and Environmental Engineering and the High Meadows Environmental Institute. He specializes in flood hydrology, extreme events, and climate change impacts, with a focus on integrating hydroclimatological data with climate projections to assess flood risk. His work bridges theoretical advancements in statistical hydrology with practical applications for disaster resilience. Education: Executive MBA (University of Iowa, 2018) PhD in Civil and Environmental Engineering (University of Iowa, 2008) Bachelor of Science in Civil Engineering (University of Rome La Sapienza, 2003) Research Interests: Villarini’s research emphasizes process-driven flood frequency analysis, compound flooding, and climate model applications. He pioneered methods to distinguish flood-generating mechanisms (e.g., rain vs. snowmelt) to improve projections under climate change. His work addresses societal challenges like coastal resilience, urbanization impacts on rainfall extremes, and tropical cyclone dynamics. Grants & Projects: He leads over 40 funded projects, including DoD climate resilience initiatives, NOAA flood modeling frameworks, and collaborations with agencies like the U.S. Army Corps of Engineers. Recent efforts include developing probabilistic tropical cyclone rainfall generators and hazard assessment tools for coastal cities. Awards: James B. Macelwane Medal (AGU, 2016) Hydrological Sciences Award (EGU, 2013) AGU Fellow (2016) Labs/Teams: Villarini’s group collaborates with the High Meadows Environmental Institute and the Cooperative Institute for Modeling the Earth System (CIMES). His team develops open-source tools like the SHiELD modeling framework for flood inundation analysis.

• Credit Risk
• Portfolio Optimization
• Risk Management
• +۵ مورد دیگر

Marc Gürtler is a Professor at the University of Braunschweig - Institute of Technology , Department of Finance. He is an active researcher in finance, risk management, and credit modeling, with a prolific publication record and significant academic impact. Research Interests: Credit risk modeling and forecasting Portfolio optimization and asset allocation Machine learning applications in finance Catastrophe bonds and alternative risk transfer Consumer credit and household finance Labor economics and career dynamics His research spans theoretical modeling and empirical validation, with applications in banking regulation, investment strategy, and financial policy. He has co-authored with leading scholars and published in top-tier journals such as the Journal of Banking & Finance , European Journal of Finance , and Journal of Risk and Insurance . Collaborations and Impact: Marc Gürtler has collaborated extensively with researchers from RWTH Aachen, University of Duisburg-Essen, University of Cologne, and international institutions. His work on credit risk, portfolio optimization, and machine learning has been widely cited and downloaded, reflecting its relevance to both academia and industry.

• Wildfire Management
• Wildfire Risk Reduction
• Fire Adapted Communities
• +۴ مورد دیگر

Catrin Edgeley serves as an Assistant Professor in the School of Forestry at Northern Arizona University, where she focuses on the social dimensions of wildfire management and community resilience in fire-prone landscapes. Her work bridges environmental science and social science to address critical challenges in disaster risk reduction across the Southwestern United States, particularly in Arizona. Dr. Edgeley's research centers on wildfire risk perception, community adaptation to smoke and post-fire flooding, and the development of fire-adapted communities. She investigates how social context shapes evacuation behaviors, flood risk mitigation, and recovery processes after wildfires, emphasizing the role of non-governmental organizations and community coalitions. Her scholarship highlights the importance of local ecological knowledge and socially defined indicators in monitoring environmental change and building resilience. Analysis of her recent publications reveals a pronounced shift toward interdisciplinary approaches integrating physical and social sciences. Her 2024-2025 work demonstrates growing emphasis on post-wildfire flood insurance uptake, human-caused ignition prevention, and policy frameworks for managing natural ignitions beyond suppression. She frequently employs mixed-methods designs including household surveys, horizon scanning, and participatory modeling to translate research into actionable strategies for land managers and communities. Dr. Edgeley actively collaborates with the Kittitas Fire Adapted Communities Coalition and other stakeholder networks to advance landscape-scale wildfire adaptation. Her work with NGOs during community recovery processes and partnerships with federal land management agencies exemplify her commitment to co-producing knowledge that addresses real-world wildfire challenges while respecting local contexts and social vulnerabilities.

• Applied Microeconomics
• Microeconometrics
• Labor Economics
• +۸ مورد دیگر

Mattia Albertini is a Post-Doctoral Researcher at the Institute for Economic Research (IRE) within the Faculty of Economics at Università della Svizzera italiana (USI). He previously completed his Ph.D. at the Institute of Economics (IdEP), USI, and participated in the Swiss Program for Beginning Doctoral Students in Economics. He holds a Master of Science in Economics with a minor in Data Science from USI and a Bachelor in Economics from the University of Pavia. Bachelor in Economics, University of Pavia Master of Science in Economics (minor in Data Science), Università della Svizzera italiana Ph.D. in Economics, Università della Svizzera italiana Swiss Program for Beginning Doctoral Students in Economics, Swiss National Bank His research focuses on applied microeconometrics with applications in health, labor, public, urban, and environmental economics. A recurring theme in his work is the spatial dimension of economic outcomes, including residential integration, real estate market dynamics, and geographic proximity to borders or hazards. He integrates data science techniques, particularly programming in Python and STATA, to develop tools for empirical analysis and reproducible research. The collection of articles reflects a strong trend in applied econometrics, causal inference, and spatial analysis. His work spans health economics (e.g., benzodiazepine prescribing), labor and urban economics (e.g., migration, job accessibility), and environmental and insurance economics (e.g., natural hazard impacts). Methodologically, he engages with difference-in-differences, event study designs, spatial modeling, and text analysis, often building or applying computational tools to address research questions. He has contributed to teaching at both the Bachelor's and Master's levels, particularly in microeconomics, macroeconomics, and data-intensive courses such as Textual Analysis and Spatial Data for Economists. Teaching Assistant, Microeconomics A (Bachelor) Teaching Assistant, Macroeconomics B (Bachelor) Teaching Assistant, Textual Analysis and Spatial Data for Economists (Master) Mattia Albertini is actively involved in open science, sharing code for econometric methods, data visualization, and application development (e.g., a gluten-checking app) on GitHub. His interdisciplinary approach combines economic theory, statistical modeling, and computational tools to investigate real-world policy-relevant questions.

• Machine Learning
• Big Data Analytics
• Anomaly Detection
• +۵ مورد دیگر

Jorge Augusto Meira is a Research Scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the Services and Data Management research group (SEDAN). He holds a PhD in Computer Science from the University of Luxembourg (2014) and has 15+ years of experience spanning industry and academic research roles including software development, system analysis, data science, project management, and principal investigator positions. His research focuses on machine learning applications in anomaly detection (e.g., anti-money laundering), big data analytics, recommendation systems, and database optimization. Notable areas include cybersecurity for blockchain networks, insurance risk modeling using Hawkes processes, and energy-efficient database architectures. Publications span topics like vehicle routing optimization, natural disaster prediction models, and privacy-preserving data systems. He has contributed to both theoretical advancements and practical implementations in areas like smart grid monitoring and aviation predictive maintenance. His work frequently bridges AI techniques with real-world infrastructure challenges across transportation, finance, and healthcare sectors. Led by Prof. Radu State, the SEDAN group focuses on service-oriented architectures and data management innovations. While no formal awards are listed, his extensive publication record reflects sustained contributions to interdisciplinary tech research.

Gregory Characklisمشاهده پروفایل

استاد

• Environmental Sciences
• Financial Risk Management
• Climate Change Adaptation
• +۳ مورد دیگر

Gregory Characklis, PhD, is the W. R. Kenan Jr. Distinguished Professor in the Department of Environmental Sciences and Engineering at the University of North Carolina at Chapel Hill’s Gillings School of Global Public Health. He also serves as Director of the Institute for Risk Management and Insurance Innovation (IRMII) and the Center on Financial Risk in Environmental Systems (CoFiRES). His research focuses on evaluating and managing financial risks from natural hazards (e.g., floods, droughts, pandemics) through interdisciplinary modeling integrating engineering, economics, and data science. Characklis leads pan-campus initiatives supported by industry and federal partners, addressing risk mitigation for sectors such as water utilities, energy, agriculture, and real estate. Education: PhD in Environmental Science and Engineering (Rice University, 1999), MS (Rice, 1994), BS in Materials Science (Johns Hopkins, 1989). Research emphasizes financial risk from hydrometeorological variability, with innovations like index-based insurance instruments and adaptive water management contracts. Key projects include flood exposure mapping in North Carolina and resilience strategies for California’s water infrastructure. Characklis has received accolades for teaching and research, including the Newton Underwood Award for Excellence in Teaching and the ASCE Quentin Martin Award. Service activities include leadership roles in AEESP, CUAHSI, and AGU; advisory roles for water policy initiatives; and editorial work for journals like Water Security and Water Resources Research . Collaborations span federal agencies, insurers, and financial institutions to design risk management tools.

Anne-Marie Parthمشاهده پروفایل

پژوهشگر

• Public Policy
• Environmental Governance
• Political Sociology
• +۴ مورد دیگر

Dr. Anne-Marie Parth is a researcher at the Department of Political Science, Faculty of Social Sciences, Ludwig-Maximilians-University Munich. She works within the Chair for Global Governance and Public Policy, focusing on intersections between social, environmental, and health policies across European contexts. Her research connects theoretical frameworks like the Narrative Policy Framework with empirical analyses of crisis governance, democratic satisfaction, and socio-ecological interactions. Her work spans several key areas: Policy dynamics during crises (pandemic, financial, migration) Environmental governance and behavioral responses Democracy satisfaction and political socialization Welfare state-environmental action linkages Recent publications reveal consistent application of policy theory frameworks to contemporary challenges, with a focus on European comparative analysis. Her research combines empirical studies with theoretical innovation through narrative analysis and behavioral experiments. Scientific contributions include Developing crisis policy spillover models Mapping eco-social risk governance Quantifying backlash against gender policies Assessing digital protest mobilization impacts Testing basic income policy communication

• Energy Resource Nexus
• Climate Change Adaptation
• Sustainable Energy Transitions
• +۶ مورد دیگر

Catalina Spataru is Professor of Global Energy and Resources and Director of UCL Energy Institute at University College London's Bartlett School of Environment, Energy and Resources. She founded and leads the Islands and Coastal Research (ICR) Lab, driving interdisciplinary research across 27 countries with funding from UKRI, NSF, and international bodies. Her research spans the energy-resource nexus with focus on decarbonization, climate resilience, and sustainable island/coastal systems. Key methodologies include the ISLA model (applied to 300+ islands), RADaR disaster allocation framework, and IDA3/5 resource trade-off analyzer. She explores interconnected energy-water-land-material systems through complex modeling and stakeholder co-design. Publications reveal strong focus on maritime decarbonization (SOFC/GT systems), island vulnerability (Mauritius, Greece), African climate adaptation (Ghana case studies), and sustainable business frameworks. Recent work emphasizes community-led governance, challenging vulnerability narratives while developing practical tools for energy transition. Award Trevithick from Institution of Civil Engineers Socrates-Erasmus Fellowship recipient Advisory roles: IGNITE Network+, WEC Scenarios Study Group As an active supervisor, she mentors students applying her models (DEAM, IDA3, ISLA) to energy systems worldwide. She directs major initiatives like the Mobile Education Hub for Climate Resilience and collaborates with institutions including MIT, Stanford, and Princeton through her Nexus Dialogues work.

Ersin Korkmazمشاهده پروفایل

دانشیار

• Transportation Engineering
• Civil Engineering
• Optimization Algorithms
• +۳ مورد دیگر

Ersin Korkmaz is an Associate Professor in the Department of Civil Engineering at Kırıkkale University , specializing in Transportation Engineering . His academic journey includes dual bachelor's degrees from Erciyes University (Electrical and Civil Engineering, 2011-2012), a master's degree in 2016, and a doctorate in 2019. Expertise in optimization algorithms (flower pollination, differential evolution, YOLO-based models) Research focuses on transportation energy demand, smart traffic systems, and UAV-based intersection analysis Developed hybrid AI control systems for signalized intersections Contributor to bibliometric studies in banking and accounting sectors His work bridges civil engineering and computational methods, with recent publications analyzing traffic safety, energy forecasting, and infrastructure optimization. Notable trends include integration of metaheuristic algorithms for transportation modeling and applications of drone imaging in urban mobility.

Cameron M. Ellisمشاهده پروفایل

استادیار

• Insurance Economics
• Household Finance
• Public Policy Analysis
• +۱ مورد دیگر

Cameron M. Ellis is an Assistant Professor and Hentges Fellow in Finance at the Tippie College of Business, University of Iowa . His research focuses on insurance economics, household finance, health economics, and public policy analysis. He has published extensively in top journals including Journal of Risk and Insurance , Econometrica , and Health Economics . Academic Rank: Assistant Professor Institution: University of Iowa College: Tippie College of Business Department: Department of Finance Research Interests: His work examines financial decision-making in insurance markets, retirement planning, healthcare policy, and disaster recovery economics. Recent studies analyze index-linked annuities, consumer collateral costs, and medical cannabis impacts on public health. Awards: Les B. Strickler Innovation in Instruction Award (2024) NAIC Research Fellowship (2023-2024) Excellence in Reviewing Award (2022-2023)

Madalina Deaconuمشاهده پروفایل

استاد

• Stochastic modeling
• Probabilistic simulation methods
• Random spatio-temporal processes
• +۷ مورد دیگر

Madalina Deaconu is an Inria Research Director and Assistant Scientific Delegate (DSA) at the Inria Center of the University of Lorraine since January 2022. She leads the PASTA joint project team (Processus Aléatoires Spatio-Temporels et leurs Applications) hosted at the Institut Elie Cartan de Lorraine (IECL). Her academic affiliation is with the Faculty of Science and Technology at the University of Lorraine, where she conducts research in probability theory and stochastic modeling. She serves on multiple committees including the Inria Evaluation Commission, the Geophysics Program Committee of the RT CNRS "Earth & Energies", and has held leadership positions including Director of the Charles Hermite Federation (2018-2022). Dr. Deaconu completed her Habilitation à diriger des recherches (HDR) at Université Henri Poincaré – Nancy 1 in 2008 and earned her PhD in Stochastic Processes and Partial Differential Equations from the same institution in 1997. Habilitation à diriger des recherches (HDR), Université Henri Poincaré – Nancy 1, France, 2008 PhD in Stochastic Processes and Partial Differential Equations, Université Henri Poincaré – Nancy 1, France, 1997 Madalina Deaconu's research focuses on stochastic modeling with applications across multiple domains. Her primary areas include data-enriched stochastic modeling, probabilistic approaches to coagulation/fragmentation models, numerical methods for diffusion reach times, and stochastic methods for linear and nonlinear partial differential equations. Her work bridges theoretical probability with practical applications in environmental science, geophysics, and actuarial science. She develops innovative probabilistic simulation methods and analyzes random spatio-temporal processes, with particular emphasis on fragmentation equations, Bessel processes, and Hawkes processes. Her research has significant applications in modeling avalanches, natural disasters, insurance risk assessment, and hydrochemical data analysis. She has established international collaborations with researchers from University of Turin, University of Uruguay, and institutions in Bucharest, as well as national collaborations with University of Burgundy and INRAE Grenoble. Analysis of Dr. Deaconu's recent publications reveals a consistent focus on fragmentation processes and stochastic modeling approaches. Her work spans theoretical developments in probability theory, numerical methods for stochastic processes, and practical applications in environmental science and actuarial mathematics. A notable trend is her increasing focus on Bayesian inference methods and point process applications, particularly for environmental and insurance contexts. Her most recent work demonstrates strong interdisciplinary connections, applying stochastic methods to hydrochemical data analysis, insurance recommendation systems, and natural disaster modeling. The consistent thread throughout her publications is the development and application of sophisticated probabilistic techniques to solve complex real-world problems. Dr. Deaconu has received recognition for her contributions to research: Paper and Poster award at EWEA 2015 (European Wind Energy Association) Plenary speaker at the 14th International Conference on Monte Carlo Methods and Applications (MCM23) While specific student names aren't listed in the provided text, Dr. Deaconu is involved in doctoral training through the IECL and supervises research in stochastic modeling. She coordinates multiple research collaborations including industrial partnerships with Le Foyer Luxembourg and SnT Université du Luxembourg (2018-2022). Her teaching activities include Stochastic Modeling at Master 2 level, Stochastic Differential Equations at École des Mines de Nancy, and Monte Carlo Simulation for Financial Market Engineering. Dr. Deaconu leads the PASTA research team (Processus Aléatoires Spatio-Temporels et leurs Applications), a joint Inria project hosted at IECL. She previously directed the Charles Hermite Federation (2018-2022), which brought together three major research laboratories: CRAN (Automatic Control), IECL (Mathematics), and LORIA (Computer Science). Her work is centered at the Institut Elie Cartan de Lorraine, a mathematics research institute affiliated with the University of Lorraine, where she contributes to both theoretical developments and practical applications of stochastic methods across multiple scientific domains.

Antoine Lejayمشاهده پروفایل

پژوهشگر

• Rough trajectories
• Stochastic analysis and random modeling
• Probabilistic numerical methods
• +۵ مورد دیگر

Antoine Lejay is a Researcher in the Department of Probability and Statistics at the Faculty of Science and Technology, Université de Lorraine. He is affiliated with the Inria PASTA project team and contributes to interdisciplinary initiatives like the Inria Apollon Exploratory Action (2022–2024) and the CNRS MITI project (2024–2025). His roles include Deputy Director of the AM2I division and former Head of the Probability and Statistics team (2016–2022). His research spans Rough trajectories , Stochastic analysis , and Probabilistic numerical methods , with applications in Fragmentation equations , Diffusion modeling , and Digital Humanities . He develops algorithms for stochastic processes in discontinuous media and statistical estimators for non-standard models like skew Brownian motion. Recent publications highlight methodological advancements in Rough differential equations , Hawkes processes for insurance risk, and Fragmentation dynamics . His work combines theoretical analysis (e.g., asymptotic behavior) with computational frameworks (e.g., random walk simulations, interface conditions). Lejay has held leadership positions in the Charles Hermite Federation (2022–2023) and the GdR TRAG (2018–2023). He collaborates with academic and industrial partners, focusing on interdisciplinary applications in insurance, engineering, and porous media.

Craig Landryمشاهده پروفایل

استاد

• Natural Resource Economics
• Nonmarket Valuation
• Experimental Economics
• +۵ مورد دیگر

Craig Landry is a Professor in the Department of Agricultural & Applied Economics at the University of Georgia's College of Agricultural & Environmental Sciences. His research focuses on natural resource economics, nonmarket valuation, experimental economics, and coastal resource management. Dr. Landry earned his Ph.D. in Agricultural and Natural Resource Economics from the University of Maryland in 2004, along with multiple advanced degrees in related fields from the University of Georgia and Maryland. Research Interests Natural Resource Economics Nonmarket Valuation Coastal Risk Analysis Applied Econometrics Climate Adaptation Modeling Recent Work Trends Quantifying ecosystem service benefits of natural infrastructure Investigating flood risk perception and insurance uptake Modeling coastal homeowners' adaptive responses to climate change Developing econometric frameworks for recreation demand and environmental valuation Analyzing shoreline modification impacts on biodiversity