جست‌وجوی استاد و پژوهشگر

Gregor C. Leckebuschمشاهده پروفایل

استاد

• Meteorology
• Climatology
• Extreme Weather Events
• +۳ مورد دیگر

Professor Gregor C. Leckebusch is a leading academic in meteorology and climatology at the University of Birmingham, holding the UK Met Office Joint Chair since 2022. He specializes in extreme weather events, climate variability, and their societal impacts. His research focuses on cyclones, storms, and precipitation extremes, with an emphasis on predictability across time scales. Leckebusch earned his PhD in Meteorology from the University of Cologne (Germany) and held roles at Freie Universität Berlin and the University of Leipzig before joining Birmingham in 2011. He directed the NERC DTP CENTA program (2019–2022) and leads teaching modules in applied meteorology and climatology at both undergraduate and graduate levels. His work bridges academia and industry, collaborating with re-insurance firms like SwissRe and CoreLogic. Over £13m in grants underpin his research, addressing topics such as typhoon parametric insurance, Atlantic hurricane variability, and post-tropical cyclones. He is an editorial board member of Natural Hazards and Earth System Sciences and organizes high-impact conferences, including the European Windstorm Workshop (2019). Leckebusch’s awards include the Marie-Curie Fellowship (2012–2016) and the Gordon Manley Weather Prize (2008). His recent publications explore extreme rainfall in East Asia, tropical cyclone impacts, and seasonal forecasting techniques.

David Fleming-Muñozمشاهده پروفایل

استاد

• Agricultural and Resource Economics
• Trade Policy
• Energy Transitions
• +۳ مورد دیگر

Dr. David Fleming-Muñoz is a Professor at La Trobe University and an Honorary Senior Fellow at The University of Queensland's School of Economics. With over 20 years of policy and research experience spanning Chile, the US, New Zealand, and Australia, he specializes in econometric modeling, impact assessment, and forecasting. His research addresses market and public policy challenges in agricultural/resource economics, trade, energy transitions, climate change, and economic resilience. His research integrates advanced statistical methods with multidisciplinary approaches to evaluate sustainability transitions, agricultural workforce dynamics, climate risk mitigation, and resource management in complex systems. Recent publications focus on energy transition impacts in rural communities, decarbonization strategies, and climate-resilient agricultural practices. Educational background includes a PhD and MS in Applied Economics from The Pennsylvania State University, and a BA in Agricultural Engineering from Pontificia Universidad Católica de Chile.

• Accounting Standards
• Financial Regulation
• Climate Change Reporting
• +۳ مورد دیگر

Gaoqing Zhang is the Heinz Professor of Accounting at the Tepper School of Business, Carnegie Mellon University, since July 2023. Previously, he held roles as the Honeywell Professor of Accounting at the University of Minnesota’s Carlson School of Management (2014–2025). He earned a BSc in Finance from Fudan University (2005–2009) and a PhD in Accounting from Carnegie Mellon (2009–2014). His research focuses on the real effects of accounting measurements and disclosure in the financial industry, particularly climate-related disclosures, banking regulation, and transparency in crowdfunding. He serves on the editorial board of The Accounting Review and has published in top journals like Journal of Accounting and Economics , Journal of Accounting Research , and Management Science . His work has been featured in Wall Street Journal , Risk Magazine , and Bloomberg . Awards include Excellence in Refereeing Awards (Journal of Accounting Research, 2023/2021), the Financial Accounting Reporting Section Best Paper Honorable Mention (2020), and the Mary and Jim Lawrence Fellowship (2019–2021).

• Econometrics
• Economics of Networks
• Applied Economics
• +۴ مورد دیگر

Ming Li is an Assistant Professor in the Department of Economics at the National University of Singapore (NUS), affiliated with the Faculty of Arts and Social Sciences. He holds a PhD in Economics from Yale University and previously served as a Research Fellow at NUS's Risk Management Institute (RMI). His research focuses on econometric theory, economics of networks, and applied economics with an emphasis on environmental and social impacts. Li is a CFA Charterholder and has expertise in both English and Mandarin. Education: PhD in Economics, Yale University (2021) BA with Distinction in Economics and BS in Mathematics (Double Degree), Peking University (2010) MA in Economics, Peking University (2013) Research Interests: Advances in econometric methods for network analysis and dynamic models Environmental and climatic impacts on economic behavior and productivity Applications of large language models in economic research Professional Highlights: RMI Fellowship (2023) CFA Charterholder (2022) Teaching roles include Econometrics III (undergraduate) and Financial Econometrics (PhD) Key Themes in Publications: Focus on econometric analysis of labor markets, environmental effects on education and productivity, and housing market dynamics. Recent work explores multiplicative sabotage effects in contests and urban heat impacts on academic performance.

• Climate Change Law
• Environmental Law and Governance
• Energy Law
• +۳ مورد دیگر

Shelley Welton is a Visiting Assistant Professor of Law at the University of South Carolina School of Law, specializing in climate change law, energy law, and environmental governance. Her research examines how climate change impacts legal frameworks and public policy, with publications in top-tier law reviews such as the Columbia Law Review and Harvard Environmental Law Review. Education: Ph.D. in Law, Yale Law School J.D., New York University School of Law Master of Public Administration in Environmental Science and Policy, Columbia University B.A., University of North Carolina at Chapel Hill Research Focus: Welton's work bridges legal scholarship and practical policy, addressing topics like administrative law reforms for climate governance, energy transition challenges, and equity in environmental decision-making. She emphasizes interdisciplinary approaches combining legal analysis with socio-environmental science perspectives. Professional Background: Prior to her academic role, Welton served as Deputy Director of Columbia Law School's Sabin Center for Climate Change Law and clerked for federal judges in the Eastern District of New York and the Fourth Circuit Court of Appeals. Her expertise spans judicial interpretation of environmental statutes and regulatory frameworks. Teaching: Welton teaches courses on Administrative Law, Energy Law, Environmental Law and Policy, and Climate Change Law at the University of South Carolina. Key Contributions: Her scholarship highlights systemic legal barriers to climate adaptation and proposes innovative regulatory solutions. She frequently collaborates with policymakers, NGOs, and international bodies on climate law initiatives.

Tong Wangمشاهده پروفایل

دانشیار

• Sustainable Agriculture Production
• Natural Resource Economics
• Soil Conservation Economics
• +۳ مورد دیگر

Tong Wang is an Associate Professor and Advanced Production Specialist in the Department of Economics at South Dakota State University (SDSU), affiliated with the Ness School of Management and Economics. She holds a Ph.D. in Economics from Iowa State University (2012). Her work focuses on sustainable agriculture production, natural resource economics, and policy analysis at the human-agriculture-environment nexus. Dr. Wang's research explores soil conservation practices, land use decisions, and sustainable grazing strategies. She has led 13 multi-disciplinary projects across institutions and published nearly 40 peer-reviewed articles in agricultural economics journals. Her extension work includes publishing practical guides on agricultural production economics through SDSU Extension, which have garnered significant media attention. Her recent publications emphasize precision agriculture technologies, no-till adoption dynamics, and carbon farming economics. Key themes include policy impacts on conservation practices, farmer decision-making processes, and the economic viability of sustainable systems. Dr. Wang collaborates extensively with agricultural producers, policymakers, and interdisciplinary teams to bridge research and practical implementation. Her outreach efforts aim to provide actionable insights for farmers facing climate, economic, and regulatory challenges.

Kaiping Chenمشاهده پروفایل

دانشیار

• Science Communication
• Computational Social Science
• Public Deliberation
• +۴ مورد دیگر

Kaiping Chen is an Associate Professor in Computational Communication at the University of Wisconsin-Madison's Department of Life Sciences Communication. She holds affiliations with the Data Science Institute, Political Science Department, Holtz Center for Science and Technology Studies, and several interdisciplinary programs including African Studies and Energy Institute. Chen's research focuses on how digital media shapes political accountability and public discourse, leveraging computational methods alongside qualitative analysis. Her work bridges communication, political science, and computer science to address challenges like misinformation and information overload, with applications to food security, public health, and environmental policy. Education: PhD in Communication (Stanford University), MPA (Columbia University). Awards include the Lillian Lodge Kopenhaver Early Career Woman Scholar Award and Vilas Early-Career Award. She serves in leadership roles at professional organizations like the International Communication Association (ICA) and Association for Education in Journalism and Mass Communication (AEJMC). Chen's research has been funded by NSF, Chan Zuckerberg Initiative, and American Family Insurance, producing over 50 peer-reviewed articles in journals like *American Political Science Review* and *Journal of Communication*. Key contributions include developing methodologies for analyzing text, visual, and social media data; demonstrating how deliberative designs enhance public discourse quality; and exposing mechanisms by which social identity influences misinformation spread. Her applied work includes collaborations with governments and communities in the U.S. and China to design equitable engagement strategies.

Nick Graetzمشاهده پروفایل

پژوهشگر ارشد

• Sociological Methods
• Bayesian Hierarchical Modeling
• Data Visualization
• +۴ مورد دیگر

Nick Graetz is a Postdoctoral Research Associate at the Eviction Lab at Princeton University. He holds a BA from the University of Wisconsin, an MPH from the University of Washington, and a PhD in Demography from the University of Pennsylvania. Research interests include sociological methods, Bayesian hierarchical modeling, data visualization, racial segregation, urban life, education policy, and health policy. His work has been published in Nature , New England Journal of Medicine , The Lancet , and other high-impact journals. Recent research focuses on eviction consequences, mortality analysis, causal inference, and spatial disparities in health and housing. His methodological expertise bridges demographic modeling with policy evaluation. He contributes to projects requiring multidimensional well-being assessments and small-area estimation techniques, often intersecting housing justice and public health equity.

• Operations Research
• Energy Economics
• Stochastic Optimization
• +۳ مورد دیگر

James Anderson is an Associate Lecturer at the University of Sydney, specializing in Operations Research and Energy Economics. His research focuses on stochastic optimization, energy transition modeling, supply chain coordination, and game-theoretic market design. He has contributed to understanding strategic behavior in electricity markets, supply function equilibria, and risk management in uncertain environments. Anderson’s work spans theoretical and applied domains, addressing challenges in energy policy, auction mechanisms, and supply chain dynamics. His recent studies explore long-term decarbonization pathways, robust decision-making under uncertainty, and the integration of stochastic models into real-world systems. He is affiliated with the University of Sydney’s academic staff, though specific departmental or school affiliations are not explicitly stated in available records. His publications frequently address topics such as capacity procurement efficiency, minimax decision rules, and the performance of stochastic algorithms in complex systems. Anderson’s research also extends to auction theory, including multi-unit auctions with uncertain supply, and the design of contracts that mitigate risks in agriculture and retail supply chains. His work emphasizes practical applications of mathematical modeling to enhance decision-making in competitive markets and resource allocation contexts.

Akhilesh Surjanمشاهده پروفایل

دانشیار

• Disaster Risk Reduction
• Climate Change Adaptation
• Urban Sustainability
• +۲ مورد دیگر

Associate Professor Akhilesh Surjan is a leading academic at Charles Darwin University’s Faculty of Arts and Society, with a distinguished career spanning over two decades in disaster risk reduction, climate change adaptation, and urban sustainability. He serves as Theme Leader for Humanitarian Response & Disaster Management Studies and actively supervises Higher Degree by Research (HDR) students, focusing on interdisciplinary approaches to resilience in vulnerable regions. His research investigates the intersections of environmental management, community resilience, and policy development, particularly in the Asia-Pacific context. Key themes include disaster economics, climigration dynamics, urban planning compliance, and ecosystem-based adaptation strategies. His work emphasizes practical solutions for climate-vulnerable communities, Indigenous knowledge integration, and policy-driven risk governance. Prof Surjan’s publications reveal a consistent focus on translating theoretical frameworks into actionable strategies. Recent articles analyze flood impacts on education, health service barriers during crises, and collaborative climate action planning, employing methodologies from geospatial analysis to participatory governance models. Trends highlight a strong emphasis on equity, stakeholder engagement, and scalable adaptation in both urban and remote settings. Lead Author, IPCC Fifth Assessment Report (Climate Change Impacts) Contributing Author, UN Global Assessment Report on Disaster Risk Reduction He directs multiple projects, including: Climate Adaptation Pathways for Indigenous Communities (2019–2022), developing enterprise-based resilience models. Disaster Waste Management in Northern Australia (2022–2023), scoping remote-region protocols. Western Australian Mobile Populations and Disaster Management (2023–2026), addressing mobility challenges in crises. Prof Surjan collaborates with UN agencies, governments, and NGOs, leveraging roles as Associate Editor of Progress in Disaster Science and Series Editor for Springer’s Disaster Resilience and Green Growth series to advance global sustainability discourse.

Weiming Huمشاهده پروفایل

استادیار

• Machine Learning
• Spatiotemporal Data Analytics
• Uncertainty Quantification
• +۴ مورد دیگر

Dr. Weiming Hu is an Assistant Professor of Geography in the School of Integrated Sciences at James Madison University. His research focuses on machine learning applications in environmental and earth sciences, particularly in renewable energy forecasting, extreme weather prediction, and spatiotemporal data analytics. He holds a Ph.D. in Geography from Penn State University and has experience as a Machine Learning Scientist at the Scripps Institution of Oceanography. His work emphasizes uncertainty quantification using hybrid dynamical-machine learning models. Education: Ph.D. Geography (Penn State), M.Sc. Geography (Penn State), B.Eng. Remote Sensing (Wuhan University). Courses taught include GIS fundamentals and applications in human/environmental topics. Publications span climate modeling, energy forecasting, and machine learning techniques. He contributes to advancing scalable ensemble simulations and data-driven approaches for environmental challenges.

• Technical Communication
• Environmental Risk Communication
• User Experience Design
• +۳ مورد دیگر

Daniel P. Richards is an Associate Professor of English specializing in technical communication and rhetoric at Old Dominion University's College of Arts & Letters. His work focuses on environmental risk communication, user experience design, and writing pedagogy. He holds a Ph.D. in English from the University of South Florida (2013), and prior degrees from the University of Windsor. Richards has secured over $1.2 million in research grants, including projects on wind energy siting solutions, flood risk calculators, and sea level rise visualization tools. He actively promotes interdisciplinary collaboration through grants like the 'Improving Disciplinary Writing Action Project' and serves as past Chair of ACM SIGDOC (2019–2023). His research explores posthumanist frameworks applied to environmental communication, emphasizing public engagement with climate risks. Notable projects include developing interactive geovisualizations for flood insurance mapping and analyzing 'flatten the curve' pandemic graphics. He has been recognized with awards including the 2021 Research Mentor Award and 2017 Teaching with Technology Award. Richards teaches technical writing and rhetoric courses at both undergraduate and graduate levels, including business writing in ODU's MBA program. His pedagogical focus includes ideological transparency in education and innovative uses of multimedia storytelling for environmental advocacy.

Tuğrul Ansayمشاهده پروفایل

استاد

• Insurance Law
• Comparative Law
• International Commercial Arbitration
• +۵ مورد دیگر

Prof. Dr. Tuğrul Ansay was a prominent legal scholar affiliated with Koç University Law Faculty, specializing in insurance law, comparative law, and international commercial arbitration. He contributed significantly to academic discourse through organizing major conferences like the 'Contextualising Insurance Contracts' symposium series and the HOPINEU Lecture Series. His work often addressed intersections between insurance law and other legal fields, including European Union law, corporate governance, and emerging technologies like artificial intelligence. Key research areas included legal harmonization (e.g., Principles of European Contract Law), transnational dispute resolution mechanisms, and regulatory challenges in insurance sectors. He played a pivotal role in academic initiatives such as the 'Insurance Contracts and Private International Law' comparative studies and the 'Business and Human Rights' seminar series. Prof. Ansay was actively involved in fostering young academics through programs like the 'Ticaret Hukuku Genç Akademisyenler Sempozyumu' and the 'International Tax Law Professors Annual Congress.' His contributions extended to teaching modules on intellectual property and arbitration law at Koç University.

• Climate Change
• Environmental Politics
• Climate Policy
• +۳ مورد دیگر

Lauri Peterson is a Senior Researcher and Postdoctoral Researcher at the University of Eastern Finland (UEF) Law School, affiliated with the Faculty of Social Sciences and Business Studies. He holds a PhD from Uppsala University. His research focuses on climate politics, multi-level governance of climate change, and the application of both qualitative and quantitative methods. Peterson has contributed to high-impact journals such as Global Environmental Politics , World Development , and International Environmental Agreements: Politics, Law and Economics . He is a core member of the CCEEL (Center for Climate Change, Energy and Environmental Law) research group, exploring topics like Nationally Determined Contributions (NDCs) implementation risks and fossil fuel policy dynamics. His work bridges legal, political, and environmental dimensions of climate governance.

Marouane Il Idrissiمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning Interpretability
• Explainable AI (XAI)
• Uncertainty Quantification
• +۵ مورد دیگر

Marouane Il Idrissi is a CANSSI Distinguished Postdoctoral Fellow (2025–2027) and Associate Researcher at Obvia, primarily affiliated with the Department of Mathematics in the Faculty of Science at the University of Quebec at Montreal (UQAM) and secondarily with the Institut Intelligence et Données at Laval University. He conducts research under the joint supervision of Professor Arthur Charpentier (UQAM) and Professor Marie-Pier Côté (Laval University), focusing on enhancing transparency in black-box machine learning models for high-stakes decision contexts. His academic credentials include: Ph.D. in Applied Mathematics, Université de Toulouse (2024), supervised by Jean-Michel Loubes, Fabrice Gamboa, Nicolas Bousquet, and Bertrand Iooss; dissertation centered on interpretability methods for AI certification in critical infrastructure systems. Dr. Il Idrissi's research addresses core challenges in Machine Learning Interpretability, particularly for non-linear models with correlated features. His work integrates Explainable AI (XAI), Uncertainty Quantification, and Sensitivity Analysis to disentangle feature interactions in domains like insurance, healthcare, and energy where model opacity risks accountability and safety. He emphasizes cooperative game theory and functional analysis to develop mathematically rigorous interpretability frameworks. His primary recognition is the competitive CANSSI Distinguished Postdoctoral Fellowship (2025-2027), supporting his project on explainability using real-world insurance datasets to address regulatory compliance and fairness in high-impact applications. As part of his fellowship, Dr. Il Idrissi mentors graduate students, teaches advanced statistics courses, and collaborates with industry partners. He actively organizes academic events including chairing the Explainable AI session at MobiliT.AI’25 and presenting at the XAI Workshop of IJCAI’25, while maintaining a rigorous seminar schedule across North American institutions. He contributes to research teams led by Professors Charpentier (specializing in actuarial fairness and climate risk modeling) and Côté (focusing on insurance risk dependence and big data analytics), bridging theoretical statistics with practical applications in financial and critical systems.