جست‌وجوی استاد و پژوهشگر

• Real Estate
• Housing Market
• Property Prices
• +۳ مورد دیگر

Dr Daniel Lo serves as a Research Fellow in Real Estate and Infrastructure Investment at Ulster University's Belfast School of Architecture and the Built Environment. His work bridges academic research and practical real estate market analysis with a focus on quantitative economic modeling. His research centers on real estate price dynamics, housing market efficiency, and infrastructure valuation. He investigates spatial autocorrelation in property prices, causal relationships between macroeconomic indicators and price-to-rent ratios, and pandemic impacts on regional markets using advanced econometric techniques. His geographic focus spans Hong Kong, UK, and Northern Ireland with emphasis on market transparency and investor behavior. Recent publications (2022-2025) reveal consistent methodological rigor in analyzing real estate-macroeconomy linkages, particularly through time-series and spatial econometric approaches. His work demonstrates how regional factors drive market divergences despite global economic trends. Dr Lo's scientific recognition includes: European Public Real Estate Young Researcher Funding Award (2017) Future Research Leader Award (Research Excellence Award) 2023 Leadership 100% Research Impact Funding Award (2024) He secures substantial research funding as Co-Investigator on the Northern Ireland Housing Executive's £1.2M 'House Prices, Rents and Affordability' project (2022-2028) and previously led the '2017 White Paper on Listed Real Estate Performance'. His editorial roles include Malaysian Journal of Economic Studies (2023-2025) and Retail and Marketing Review (2022-2026). Dr Lo operates within Ulster's Built Environment Research group, maintaining active collaborations with McCord, Haran, and Davis across 39 publications. His conference participation spans Latin America Real Estate Society events (2023-2024) and Real Estate Research Institute conferences.

• Environmental economics
• Real Estate Economics
• Urban Economics
• +۲ مورد دیگر

Sho Kuroda is an Assistant Professor at Waseda University 's Faculty of Commerce (non-tenure-track) since October 2023, concurrently serving as a researcher at the Research Institute of Business Administration (RIBA). He earned his Ph.D. in Policy and Planning Sciences from University of Tsukuba in September 2023. His research focuses on applied econometrics , environmental economics , real estate , urban economics , and regional sciences . His work includes discrete-continuous choice models for carbon policy analysis, spatial econometric studies on automobile demand, and computational methods for energy-resilient communities. Recent publications (2021-2025) examine carbon dividend frameworks, transportation emission reductions, and hedonic models for urban view valuation. Articles demonstrate expertise in policy simulation , spatial modeling , and renewable energy integration . He teaches Introductory Econometrics , Basic Statistics , and Data Analysis Using Statistical Packages at Waseda University's Graduate Schools of Commerce and Accountancy. Concurrent roles include developer of educational materials for R/Stata-based statistical analysis and causal inference.

Claudio Perselloمشاهده پروفایل

استاد مدعو

• Remote Sensing
• Machine Learning
• Image Classification
• +۵ مورد دیگر

Claudio Persello is an Adjunct Professor at the University of Twente , affiliated with the Faculty of Geo-Information Science and Earth Observation (ITC) and the Department of Earth Observation Science (EOS). Prior to this, he held a Marie Curie research fellowship at the Max Planck Institute for Intelligent Systems and the Remote Sensing Laboratory at the University of Trento. His research focuses on Deep Learning for Earth Observation , developing AI methodologies tailored to remote sensing data (RGB, multispectral, SAR, LiDAR) and geospatial applications. Key themes include urban deprivation mapping, agricultural monitoring, glacier dynamics, and 3D urban modeling. He emphasizes user engagement, open science, and the creation of interpretable AI solutions for societal challenges. Recent publications highlight trends in deep learning for remote sensing , with applications spanning climate change impact assessment, urban planning, and sustainable development. His work often integrates multi-source data (e.g., satellite imagery, socio-economic layers) to address real-world problems. 2018 : Top five teacher at ITC 2012 : Best PhD thesis in Pattern Recognition (GIRPR) 2011 : Marie Curie fellowship for MaleRS project He actively contributes to editorial boards (e.g., Remote Sensing journal) and collaborative networks like the Digital Society Institute. His datasets (e.g., CadastreVision, Svalbard glacier mapping) are publicly available via Zenodo and DANS.

V. Carlos Slawson Jr.مشاهده پروفایل

استاد

• Real Estate
• Finance
• Mortgage Modeling
• +۵ مورد دیگر

V. Carlos Slawson Jr. is the Latter & Blum Distinguished Professor of Real Estate and Professor of Finance at Louisiana State University's E. J. Ourso College of Business, where he also serves as Associate Director of the Real Estate Research Institute. Joining LSU in 1995, he chaired the Finance Department from 2007-2015 and maintains active research in real estate finance and housing markets. His academic credentials include: PhD in Business Administration / Real Estate, University of Georgia (1995) MBA in Business Administration, University of Georgia (1992) BSBA in Accounting, University of Southern Mississippi (1991) Slawson's research centers on quantitative modeling of mortgage markets, housing economics, and securitization. His work examines asymmetric information in subprime lending, flood insurance mechanisms, and mortgage prepayment dynamics, contributing foundational insights to real estate finance. The interdisciplinary nature of his research bridges finance, economics, and policy analysis. Publication trends over 25 years reveal consistent output in premier real estate journals, with recent focus on flood insurance (2020) and historical analysis of subprime mortgages (2011-2012). His work demonstrates methodological rigor in econometric modeling and practical relevance to housing policy. Professor Slawson has earned significant recognition for his academic contributions: Latter & Blum Inc. Distinguished Professor of Business Administration Jacobs Professor of Excellence Award (2018) As Associate Director of the Real Estate Research Institute, Slawson leads collaborative research initiatives connecting faculty expertise with industry applications in real estate finance and housing markets.

• Spatial Econometrics
• Bayesian Econometrics
• Regional Economics
• +۳ مورد دیگر

Olivier Parent is a Professor and Department Head in the Department of Economics at the University of Cincinnati's Lindner College of Business since 2019. He joined the university in 2006 after earning his PhD in Economics from the University of Saint-Etienne in 2005. PhD, University of Saint-Etienne (2005) MS, Louis Pasteur University (2001) His research focuses on Spatial Econometrics, Bayesian Econometrics, Regional Economics , and Social Network Analysis . Recent work explores conflict dynamics in the Middle East and Africa, flood impact modeling, and network effects on individual behavior. Key research trends across publications include integrating spatial dependencies into econometric frameworks, analyzing regional growth patterns, and modeling intra-household interactions affecting travel behavior. Awards include the William H. Miernyk Research Excellence Medal (2008). Editorial Review Board Member, Journal of Spatial Econometrics (2019-present) Director, Doctoral Program (2018-present) Principal Investigator for $5M NSF grant on Urban Flooding Open Knowledge Network

• Public Finance
• Urban Economics
• Regional Economics
• +۳ مورد دیگر

David Brasington is a Professor and holds the James C. and Caroline Kautz Chair in Political Economy at the University of Cincinnati's Lindner College of Business, Department of Economics. He earned his PhD in Economics from The Ohio State University (1997), along with a MA in Economics (1993) and BA in Economics (1991) from the same institutions, with minors in Spanish and Political Science. Specializes in public finance, urban/regional economics, and real estate finance Research cited over 3,000 times Active in grants and contracts since 2012 His research focuses on the relationship between house prices and school quality, school district consolidation, school choice, and regression discontinuity applications to local government tax issues. Current projects explore effects of road maintenance spending cuts, police funding changes, and public spending on health outcomes. Recent publications demonstrate statistically significant impacts of infrastructure spending on housing markets, particularly in urban areas. He has presented research in 7 countries and across multiple US states. Honors & Grants Summer Research Fellowship (2025) Taft Faculty Release Fellowship (2021) Dean's List of Teaching Excellence (2016) Competitive Lecture Award (2012) Multiple Taft and Lindner College grants Brasington teaches Microeconomics, Public Economics, and Urban Economics at all levels from undergraduate to PhD. He serves on numerous committees including RPT, Taft Research Center, and departmental leadership committees. As an active peer reviewer and session chair, he contributes to journals like Journal of Regional Science , Regional Science and Urban Economics , and conferences such as American Real Estate Society. His media presence includes WLWT-TV, Cincinnati Enquirer, and international radio appearances.

• Urban Geography
• Spatial Analysis
• Urban Economics
• +۳ مورد دیگر

John Östh is a Researcher at Uppsala University with dual appointments in the Department of Human Geography and the Institute for Housing and Urban Research. His work centers on spatial analysis of urban systems, focusing on accessibility, inequality, and housing market dynamics across Scandinavian and international contexts. His primary research domains include: Urban Geography : Spatial patterns of amenities access and segregation Spatial Analysis : Advanced modeling of distance decay and interaction flows Urban Economics : Hedonic pricing in housing markets Accessibility Studies : Job and educational resource distribution Social Inequality : Disparities in urban service access Housing Markets : Short-term rental platforms and policy impacts Östh's publication trajectory reveals a methodological evolution from traditional spatial interaction models (2013-2016) toward contemporary AI-integrated approaches (2025), consistently addressing urban sustainability through rigorous quantitative analysis of accessibility inequality and housing market disruptions. His recent work demonstrates increasing integration of social media analytics and machine learning in urban studies.

Marie Lautrupمشاهده پروفایل

پژوهشگر

• Environmental Economics
• Forest Resilience
• Climate Adaptation Economics
• +۳ مورد دیگر

Marie Lautrup serves as a Postdoc researcher at the University of Copenhagen's Department of Food and Resource Economics within the Faculty of Science. She is actively engaged in the Horizon 2020 RESONATE project focused on enhancing European forest resilience to climate change through socio-economic responses. Her work specifically examines forest owner motivations and demand resilience for ecosystem services. Her research interests center on environmental economics with specialization in climate adaptation valuation, hedonic pricing models, and socio-ecological resilience. Key methodologies include economic valuation of non-marketed goods, spatial analysis of ecosystem services, and stakeholder adaptation assessments. Recent projects address coastal flooding impacts, forest value chain resilience, and industrial heritage transformation effects on property values. Analysis of her 2024-2025 publications reveals strong thematic focus on climate resilience economics across forest ecosystems and urban environments. Her work bridges theoretical economic models with practical policy applications, particularly through Horizon 2020 deliverables examining adaptation measures and demand resilience frameworks. Spatial analysis and socio-ecological systems represent recurring methodological approaches. Scientific contributions include: Multiple Horizon 2020 project deliverables for RESONATE Peer-reviewed articles in Forest Policy and Economics Policy briefs for European Forest Institute Urban economics research in Frontiers in Sustainable Cities Lautrup supervises graduate theses on climate adaptation economics and delivers guest lectures in forest economics and valuation courses. Her teaching spans Master's programs in Applied Economics of Forest and Nature, Economic Valuation, and Bachelor's courses in Environmental Resource Economics.