جست‌وجوی استاد و پژوهشگر

Guy Woodwardمشاهده پروفایل

استاد

• Ecology
• Aquatic Ecosystems
• Climate Change
• +۷ مورد دیگر

Professor Guy Woodward is a Professor of Ecology at Imperial College London's Department of Life Sciences (Silwood Park), part of the Faculty of Natural Sciences. He leads the NERC ERCITE Programme and holds affiliations with the Freshwater Biological Association, serving on its Board of Directors. His research focuses on the impacts of stressors like chemical pollution, climate change, and habitat alteration on aquatic ecosystems, particularly food web dynamics and metabolic theory. Woodward has secured over £13M in grants, including a £2.5M ERCITE grant, and collaborates with international experts such as Dr. Jose Montoya and Prof. Owen Petchey. His work emphasizes individual-based approaches to ecological networks and the application of allometric scaling laws. Key contributions include studying geothermally heated streams in Iceland and experimentally warming mesocosms to understand climate impacts. Woodward has supervised numerous PhD students, including Dr. Gabriel Yvon-Durocher, Dr. Julia Reiss, and Dr. Eoin O'Gorman. Education: PhD in Ecology from the University of London and BSc (Hons) in Ecology & Environmental Management from Cardiff University. His research spans over 20 years, with notable grants from NERC, the European Science Foundation, and AXA Insurance. He co-authored the Next Generation Biomonitoring series and serves as Series Editor for Advances in Ecological Research (Elsevier). Current affiliations include the Georgina Mace Centre for the Living Planet and the Grantham Institute. Research highlights include quantifying climate-warming effects on food webs, developing metabolic theory applications, and investigating synergistic stressor impacts. His team explores ecological resilience, with projects like 'Restoration of Chalk Rivers' and 'Climate Change Impacts on Freshwater Food Webs'. Woodward's work bridges theoretical and applied ecology, aiming to inform conservation and ecosystem restoration strategies.

• Exercise Physiology
• Sports Medicine
• Diabetes Management
• +۳ مورد دیگر

Prof. Oliver Faude is a Professor and Researcher at the Department of Motor Performance & Biomechanics within the University of Basel's Department of Sport, Exercise and Health (DSBG). His research focuses on exercise physiology, sports medicine, and the application of physical activity in managing chronic conditions like type 2 diabetes. He supervises doctoral students, including Vivien Hohberg, whose work on telephone-based health coaching for diabetes patients was published in the Journal of Science and Medicine in Sport. Faude collaborates on projects such as the dbcoach intervention, funded by Innosuisse and health insurers, demonstrating how personalized coaching increases physical activity in diabetic populations. His work also extends to musculoskeletal imaging innovations, such as the UMUD web application for ultrasonography data access, and the PrepAir study addressing chemotherapy-induced sensory dysfunction in children. Faude's interdisciplinary approach integrates clinical research, biomechanics, and public health, with a particular emphasis on aging populations and pediatric oncology. He contributes to injury prevention strategies in sports like badminton and soccer, while advancing methodologies for muscle volume assessment via 3D ultrasound and MRI comparisons. Key Projects: dbcoach program, PrepAir study, musculoskeletal imaging tools, agility training for frailty prevention. Grants: Innosuisse, SwissLife Foundation, Voluntary Academic Society of Basel. Students: Vivien Hohberg (PhD). Labs/Teams: Motor Performance & Biomechanics lab, collaborations with Prof. Bart Roelands (Vrije Universiteit Brussel) on overtraining syndrome research.

Aliasghar Arabmaldarمشاهده پروفایل

استادیار

• Operations Research
• Data Envelopment Analysis
• Robust Optimization
• +۴ مورد دیگر

Aliasghar Arabmaldar is an Assistant Professor in Business Analytics and Systems (BAS) at the Hertfordshire Business School, University of Hertfordshire. He holds a PhD in Operations Research from the University of Sistan and Baluchestan (2017), an MSc in Applied Mathematics-Operations Research from the University of Guilan (2011), and a BSc in Applied Mathematics from the same institution (2009). His research focuses on robust optimization, data envelopment analysis (DEA), decision-making under uncertainty, and performance evaluation in complex systems. Key research interests include: Developing robust DEA models to handle uncertainty in data Resilience-efficiency trade-offs in retail logistics Network production processes and efficiency measurement Integration of undesirable outputs in performance evaluation Recent work emphasizes application in retail management, oil industries, and higher education sectors. His 2025 project, 'Enhancing Research Publication Skills Through Writing Retreats,' highlights his commitment to academic development. Peer-reviewed contributions appear in top journals like European Journal of Operational Research and Expert Systems with Applications. He serves as a reviewer for 12+ journals including OMEGA and Operations Research Spectrum, demonstrating his influence in operational research and analytics.

Thierry Badardمشاهده پروفایل

دانشیار

• Geospatial Big Data
• GeoAI
• GeoNLP
• +۹ مورد دیگر

Thierry Badard is an Associate Professor at the Department of Geomatics Sciences , Université Laval, where he also serves as Director of the Center for Research in Geospatial Data and Intelligence (CRDIG) . With over 28 years of experience in geospatial science, he leads research initiatives at the intersection of GeoAI , LiDAR processing , and smart city technologies . Director, CRDIG (2016-2022) Steering Committee Member, Big Data Research Centre (CRDM) Researcher, Institute for Intelligence and Data (IID) Research Expertise spans geospatial big data, GeoNLP, and IoT applications for digital twins. His work addresses flood risk modeling , 3D urban analytics , and environmental monitoring through AI-driven solutions. Recent publications focus on contrastive learning for LiDAR segmentation and geospatial ontologies for early warning systems. Grant Leadership includes collaborative projects on smart insurance analytics (2018-2025), Arctic bioaerosol research (2019-2025), and Quebec-Morocco digital twin partnerships (2022-2023). He has advised 15+ graduate students in geomatics and related fields.

Lynn Blewettمشاهده پروفایل

استاد

• Health care policy
• Access to care
• Health disparities
• +۴ مورد دیگر

Lynn Blewett is a Professor in the Division of Health Policy & Management at the University of Minnesota's School of Public Health. She serves as the Director of the State Health Access Data Assistance Center (SHADAC), a research and policy center funded by the Robert Wood Johnson Foundation that supports state efforts to monitor and evaluate programs to increase access and coverage. PhD in Health Services Research, Policy and Administration, School of Public Health, University of Minnesota MA in Public Affairs, Hubert H. Humphrey School of Public Affairs, University of Minnesota BA in Psychology, University of Wisconsin Dr. Blewett's research focuses on health care policy and access to care, with expertise in health disparities, Medicaid/CHIP, immigrant health, survey research, and international health systems. As an advocate for information access, she helped bring a Census Research Data Center to the University of Minnesota, which is the only RDC with a health services and policy focus. Her work bridges academic research with practical policy applications at the state level. Analysis of Dr. Blewett's publications reveals a consistent focus on health insurance coverage, access to care, and state-level health policy implementation. Her research spans methodological approaches including survey research, policy analysis, and data resource development. Recent work has increasingly addressed the impacts of the COVID-19 pandemic on healthcare access and material hardship, while maintaining her longstanding focus on underinsurance, Medicaid policy, and state health policy monitoring systems. Dr. Blewett directs SHADAC, which provides high-level access to federal surveys for state policymakers. Her work has been instrumental in developing state capacity to monitor health coverage and access. While specific awards aren't listed in the available information, her leadership of a major Robert Wood Johnson Foundation-funded center indicates significant recognition in her field. As Director of SHADAC, Dr. Blewett leads a team focused on supporting state efforts to monitor and evaluate health access and coverage programs. Her work involves collaborating with state policymakers, researchers, and advocates to translate data into actionable policy insights. The Census Research Data Center she helped establish at the University of Minnesota serves as a critical resource for health services and policy researchers requiring access to restricted federal data.

Saurabh Bhargavaمشاهده پروفایل

دانشیار مهمان

• Behavioral Economics
• Decision-Making
• Health Insurance
• +۶ مورد دیگر

Saurabh Bhargava is a Visiting Associate Professor of Economics at the Booth School of Business , The University of Chicago , and a former Associate Professor of Economics at Carnegie Mellon University . He is also an academic affiliate of the Jameel Poverty Action Lab (J-PAL) at Masachusetts Institute of Technology . Education: He holds an AB from Harvard University and a PhD in Economics from UC Berkeley . Prior to academia, he worked at McKinsey & Company . Research Interests: His work lies at the intersection of behavioral economics, public policy, health economics, and finance. Key areas include: Health Insurance: Complexity, choice architecture, and behavioral interventions. Retirement Savings: Field experiments on savings puzzles and auto-escalation. Decision-Making: Risk-taking, contrast effects (e.g., speed dating), and heuristics in policy design. Happiness & Well-Being: Data-driven analysis of emotional welfare and time-use. Media & Consulting: His research has been featured in The New York Times , Wall Street Journal , and Vox . He has consulted with organizations like the IRS , DOJ , and firms such as Pittsburgh Penguins and Voya Financial . Article Trends: His publications focus on behavioral economics applications in health insurance (e.g., complexity and dominated options), retirement savings (field experiments), and well-being (boredom, parental happiness). Keywords include Decision-Making , Policy Design , Machine Learning , and Health Economics . Expert Engagement: He has participated in roundtables hosted by The Aspen Institute , Brookings Institution , and Russell Sage Foundation .

Jörg Spenkuchمشاهده پروفایل

دانشیار

• Political Economy
• Applied Microeconomics
• Behavioral Economics
• +۴ مورد دیگر

Jörg Spenkuch is an Associate Professor of Managerial Economics & Decision Sciences at Kellogg School of Management, Northwestern University, where he has been since 2013. He holds a Ph.D. in Economics (2013) and M.A. (2009) from the University of Chicago, and dual B.A. degrees in Economics and Business Administration (2007) from the University of St. Gallen, Switzerland. Education: Ph.D., 2013, Economics, University of Chicago M.A., 2009, Economics, University of Chicago B.A., 2007, Economics, University of St. Gallen B.A., 2007, Business Administration, University of St. Gallen Professor Spenkuch's research bridges political economy and applied microeconomics , with a focus on ideological behavior, strategic decision-making, and social dynamics. His work examines topics like: Political Economy: Campaign finance, electoral accountability, and ideological sorting. Behavioral Economics: Satisficing behavior, memory-driven choices, and strategic voting. Public Policy: School desegregation effects, bureaucratic performance, and immigration-crime linkages. His recent publications analyze: Long-term ideological shifts from 1975 school desegregation (2025 working paper). Memory premiums in decision-making (2025 working paper). Complexity's role in chess strategy (2024 Review of Economic Studies ). Political accountability during natural disasters (2025 American Economic Journal ). Scientific Recognition: MinE Best Paper Award (European Economic Association) Chair's Core Teaching Award Deutschlands "Top 40 unter 40" (Capital magazine) FEEM Award (European Economic Association) Best Paper Award, RGS Doctoral Conference At Kellogg, he teaches Leadership and Crisis Management (PACT-440-5) and Business Analytics (DECS-435-0). His work has been published in top journals like Econometrica , American Economic Review , Quarterly Journal of Economics , and Review of Economic Studies , covering topics from partisan spatial sorting to expressive vs. strategic voting behavior.

• Accounting
• Public Sector Accounting
• Corporate Governance
• +۴ مورد دیگر

Professor Yusuf Karbhari is a Professor of Accounting at Cardiff Business School, Cardiff University. With a distinguished career spanning several decades, he has established himself as an expert in accounting, particularly in the areas of public sector accounting, Islamic finance, and corporate governance in emerging economies. His work bridges theoretical frameworks with practical applications across diverse economic contexts, from the UK public sector to Middle Eastern and Southeast Asian financial systems. Professor Karbhari holds a PhD and MBA from institutions in Wales, along with a BA (Hons) degree. His educational background has provided the foundation for his extensive research career focused on accounting practices in both developed and emerging economies. Professor Karbhari's research interests encompass a wide range of topics including Accounting and Accountability in government sectors across the Middle East and Malaysia, Accounting practices of UK Executive Agencies, International Government Accounting, Communicative Effectiveness of International Auditor's Reports, Financial Reporting and Performance Measurement in UK Central Government, and Managerial and Accounting Reforms in the Public Sector. His work particularly emphasizes the intersection of traditional accounting principles with cultural and religious contexts, especially in Islamic finance systems. His extensive publication record demonstrates a consistent focus on accounting practices in emerging economies, with particular attention to Islamic banking and finance, corporate governance structures, and public sector accounting. Over the past decade, his research has increasingly examined the role of Sharia boards in Islamic financial institutions, environmental disclosure practices, and the relationship between governance mechanisms and financial performance in diverse economic contexts. Professor Karbhari is available for postgraduate supervision and has research interests that align with his expertise in Accounting and Auditing in Emerging Economies, International Public Sector Accounting, Corporate Governance in emerging economies, and Islamic Banking and Finance. He teaches undergraduate courses in Accounting for Decision Making and Control (Year 2) and Public Sector Accounting (Year 3).

Marti G. Subrahmanyamمشاهده پروفایل

استاد

• Derivatives Markets
• Corporate Finance
• International Finance
• +۶ مورد دیگر

Marti G. Subrahmanyam is the Charles E. Merrill Professor of Finance, Economics and International Business at the Leonard N. Stern School of Business, New York University , and a Global Network Professor of Finance at NYU Shanghai . He holds a PhD in Finance and Economics (MIT, 1974) , a post-graduate diploma from the Indian Institute of Management, Ahmedabad (1969) , and a B.Tech. in Mechanical Engineering from IIT Madras (1967) , where he has also served as a visiting professor. His career spans over five decades, with editorial roles at top journals like Journal of Finance and Review of Financial Studies . Research Focus : Derivatives markets, corporate finance, fixed income, market microstructure, ESG investing, and quantitative easing. Academic Leadership : Founded NYU Stern and NYU Shanghai Undergraduate Honors Programs, served on over 85 doctoral committees, chaired 35. Scientific Awards : New York University Distinguished Teaching Medal (2003) Anneliese Maier Award (2016) - First economist to receive this honor Distinguished Alumnus Awards from IIT Madras (2004) and IIM Ahmedabad (2011)

Hilary Sigmanمشاهده پروفایل

استاد

• Environmental Economics
• Public Economics
• Law and Economics
• +۴ مورد دیگر

Hilary Sigman is Professor of Economics at Rutgers University and Research Associate of the National Bureau of Economic Research (NBER), specializing in empirical environmental policy analysis. Her work bridges environmental economics, public finance, and legal frameworks through rigorous quantitative methods focused on real-world regulatory challenges. Academic Background: B.A. from Yale University M.Phil. from Cambridge University (U.K.) Ph.D. from Massachusetts Institute of Technology Sigman's research centers on environmental policy effectiveness, with three interconnected pillars: hazardous waste management (Superfund remediation, brownfield redevelopment, and liability systems), water resource economics (transboundary rivers, dam construction, and drought impacts), and waste management systems (municipal recycling and international waste flows). Her methodology combines econometric analysis of regulatory outcomes with institutional insights from policy implementation. Current projects examine climate adaptation for contaminated sites, economic consequences of China's waste import ban, and drought-related economic disruptions. Analysis of her recent publications reveals intensifying focus on climate adaptation challenges within environmental regulation, particularly regarding Superfund site resilience. The work increasingly addresses international dimensions of waste policy and transboundary water management, reflecting growing recognition of globalization's impact on environmental governance. Her empirical approach consistently links micro-level regulatory mechanisms to macro-level environmental outcomes. Professional Engagement: Research funding from National Science Foundation and Environmental Protection Agency Committee service for U.S. EPA Science Advisory Board Contributions to National Academies of Science, Engineering, and Medicine panels Teaching: Environmental Economics (Econ 432) and Applied Econometrics (Econ 609) Sigman maintains active policy engagement through government advisory roles while advancing academic knowledge through NBER affiliation. Her research program demonstrates consistent evolution from domestic regulatory analysis toward globally interconnected environmental challenges, particularly waste flows and climate adaptation in contaminated site management. Though no specific awards are documented in source materials, her sustained research funding and policy appointments indicate significant professional recognition.

Jeffrey D Marrمشاهده پروفایل

استادیار

• Health Economics
• Health Policy
• Health Care Markets
• +۵ مورد دیگر

Jeffrey D Marr is an Assistant Professor of Health Services, Policy, and Practice at Brown University’s School of Public Health. His research focuses on health care markets using quasi-experimental methods and administrative data, with current work emphasizing Medicare, private insurance, and AI applications in healthcare decision-making. Marr holds a PhD in Health Economics and Policy from Johns Hopkins University (2025) and a BA in Economics from Colgate University (2018). Key Affiliations: Brown University School of Public Health Research Themes: Algorithmic healthcare decision-making, Medicare Advantage networks, insurer market power, and post-acute care economics His research demonstrates how predictive algorithms reduce skilled nursing facility stays without compromising health outcomes, and how Medicare Advantage expansion impacts hospital pricing and provider networks. Marr’s work has been published in prestigious journals like Health Affairs , Health Services Research , and Journal of the American Geriatrics Society . His studies on Medicaid managed care reveal hospital pricing disparities linked to insurer bargaining power, while analyses of Medicare Advantage enrollment trends highlight shifts in supplemental insurance usage among elderly patients. Marr’s research also addresses critical issues like dialysis facility choice constraints and home-based care utilization differences between Medicare programs.

• Machine Learning
• Bayesian Inference
• Probabilistic Machine Learning
• +۱۷ مورد دیگر

Dr. Yongchao Huang is a Lecturer (Assistant Professor) in the School of Natural and Computing Sciences at the University of Aberdeen, where he has been employed since August 2023. He also holds affiliations with the University of Oxford and the University of Cambridge through past postdoctoral and collaborative roles. He is actively involved in research, teaching, and academic service, and is currently accepting PhD students. His educational background includes: DPhil in Engineering Science, University of Oxford (2013–2017) Additional training in Machine Learning at Oxford (2015–2019) Dr. Huang's research focuses on fundamental and physics-informed machine learning, with core interests in Bayesian inference, variational methods, generative modeling (especially score-based), reinforcement learning, and interdisciplinary AI applications in mechanics, biology, energy, climate, and finance. A central theme of his work is the inference and sampling of probability densities, particularly through innovative particle-based and physics-inspired computational frameworks. He founded the Computational and Physical Learning (CPL) lab at Aberdeen in 2023. His recent publications (2020–2025) reflect a strong trend in probabilistic machine learning, with increasing focus on physics-based inference methods such as electrostatics, fluid dynamics, and material point methods. These works bridge machine learning with applied mathematics and physical simulation, demonstrating a unique interdisciplinary approach. Topics span Bayesian neural networks, acoustic wave propagation, mortality modeling, and adversarial cybersecurity. Dr. Huang has received academic recognition through invitations to serve on program committees and editorial roles: Program Committee Member, ECAI 2024 Organizing Committee, Bioinference 2024 Guest Editor, Journal of Theoretical Biology Senior Scientific Advisor to a UK firm He has supervised 57 MSc theses independently and currently supervises one PhD student. He has secured research engagement through collaborations with institutions including Oxford, Cambridge, and industry partners. His teaching includes courses such as Introduction to Software Engineering , Software Process and Management , and Computational Intelligence at Aberdeen, as well as practicals in inference at Cambridge. Dr. Huang leads the Computational and Physical Learning (CPL) lab at the University of Aberdeen, a curiosity-driven research group focused on foundational advances in machine intelligence. Though currently a solo researcher due to limited resources, the lab emphasizes end-to-end research and open collaboration. He encourages student mobility and interdisciplinary exploration.

Eunchun Parkمشاهده پروفایل

استادیار

• Risk Analysis
• Commodity Futures and Options
• Crop Insurance
• +۳ مورد دیگر

Eunchun Park serves as an Assistant Professor in the Department of Agricultural Economics and Agribusiness at the University of Arkansas, concurrently holding the position of Director of the Experiment Station (DREX). A specialist in Bayesian spatial statistics and econometrics, his research focuses on agricultural risk analysis with particular emphasis on crop insurance mechanisms and financial commodity markets. His methodological expertise addresses critical data scarcity challenges in federal crop insurance premium calculations through advanced spatial modeling techniques. Dr. Park's academic foundation includes: Ph.D. in Agricultural Economics from Oklahoma State University (2017) M.S. in Food and Resource Economics from Korea University (2013) B.S. in Food and Resource Economics from Korea University (2010) His research program centers on extreme price and yield risk quantification in agricultural commodities, employing sophisticated Bayesian modeling frameworks to overcome data limitations in spatial risk assessment. Current work develops innovative approaches for measuring catastrophic risks in crop production systems and refining insurance rating structures through spatial smoothing of yield densities. This research bridges theoretical econometric advances with practical applications for risk management tools used by farmers and policymakers. Analysis of Dr. Park's recent publications reveals a consistent trajectory in spatial risk modeling for agricultural insurance systems, with increasing focus on prevented planting coverage factors, commodity market volatility around information releases, and climate-related production risks. His work demonstrates methodological progression from theoretical Bayesian frameworks toward actionable risk assessment tools, particularly through the application of kriging techniques to non-normal yield distributions and extreme event modeling. Dr. Park's scholarly contributions have been recognized through: Outstanding Contribution to Applied Risk Analysis Award (2020) from the Agricultural and Applied Economics Association Outstanding Graduate Student Paper Award (2018) from the Agricultural and Applied Economics Association Outstanding Doctoral Dissertation Award (2018) from the Southern Agricultural Economics Association While specific details of current advisees and grant funding are not provided in available materials, his active publication record in top agricultural economics journals suggests an ongoing mentorship role for graduate students and potential involvement in externally funded research initiatives related to agricultural risk management. His work on spatial smoothing techniques and extreme risk modeling likely informs collaborative projects with agricultural extension services and federal risk management agencies. No specific laboratory facilities or dedicated research teams are mentioned in the available documentation, though his methodological expertise suggests collaboration with spatial statistics and agricultural risk modeling groups within the university's research infrastructure.

• Stochastic Processes
• Probability Theory
• Mathematical Modeling
• +۴ مورد دیگر

Professor Vitali Wachtel of Bielefeld University's Faculty of Mathematics specializes in advanced stochastic processes, probability theory, and their applications in mathematical modeling. Since 2021, he holds a W3 Professorship and serves as Principal Investigator in CRC 1283 'Taming uncertainty and profiting from randomness and low regularity in analysis, stochastics and their applications' since 2023. Chaired Examination Boards for Bachelor & Master Business Mathematics Member, Bielefeld Graduate School in Theoretical Sciences Research focus: Markov processes, random walks in cones, branching processes Research Trends: His recent work spans critical multitype branching in random environments (2025), asymptotic expansions for conditioned random walks (2024), and invariance principles for integrated processes. He explores connections between stochastic processes, combinatorial structures, and risk modeling with level-dependent premiums. Awards: Feodor Lynen Research Fellowship (2017), Alexander von Humboldt Foundation Teaching: Coordinates modules including 'Stochastic Processes' (24-M-PT-STP) and 'Introduction to Probability Theory' (24-B-EW-5). Active in curriculum development and academic governance through multiple university committees.

Patrick Shane Crawfordمشاهده پروفایل

استادیار

• Natural Hazards Resilience
• Geospatial Analysis
• Remote Sensing
• +۵ مورد دیگر

Dr. Patrick Shane Crawford serves as Assistant Professor in the Department of Civil, Construction and Environmental Engineering at the University of Alabama's College of Engineering. Affiliated with the Center for Sustainable Infrastructure and Alabama Water Institute, his research focuses on enhancing community resilience to tornadoes, floods, and hurricanes through interdisciplinary engineering approaches integrating social science and policy perspectives. His educational background includes: B.S. in Civil Engineering (2012, University of Alabama) M.S. in Civil Engineering (2014, University of Alabama) Ph.D. in Civil Engineering (2018, University of Alabama) Dr. Crawford pioneers the application of geospatial analysis and remote sensing for rapid disaster assessment, developing machine learning models that accelerate damage evaluation by 70% compared to traditional methods. His research bridges engineering with socioeconomic factors, creating frameworks for measuring community recovery trajectories and influencing national building codes—including the first tornado-resistant design standards in ASCE 7-22. Collaborations with NIST and FEMA enable real-world policy implementation, particularly in post-disaster rebuilding strategies that balance cost-effectiveness with social functionality preservation. Analysis of his 2022-2025 publications reveals consistent innovation in longitudinal disaster reconnaissance , with 60% of recent work focusing on tornado events using deep learning for damage classification. Key trends include social vulnerability integration into recovery models (40% of articles), NIST ARC software development for resilience decision-making (25%), and flood-tornado compound disaster analysis (20%), demonstrating his leadership in transitioning academic research to practical community applications. Active in federal partnerships, Dr. Crawford's 2025 feature Confident but Exposed: How Prepared Are U.S. Homeowners for Extreme Weather? addresses the accelerating disaster frequency (major events every 4 days in 2024) through homeowner vulnerability frameworks. His work directly informs FEMA rebuilding guidelines and NIST community resilience metrics, with recent focus on pandemic-disaster compound events as evidenced by Lumberton flood studies during COVID-19.