جست‌وجوی استاد و پژوهشگر

• Environmental Science
• Climate Change Mitigation and Adaptation
• Geographic Information Systems (GIS)
• +۳ مورد دیگر

Dr. Jennifer Koch is an Associate Professor at the Laboratory of Geo-information Science and Remote Sensing, part of Wageningen University & Research. Previously, she served as an Associate Professor and Associate Research Director at the University of Oklahoma's Data Institute for Societal Challenges. Her research integrates data-driven methods like simulation modeling to address socio-economic and climate change challenges, focusing on sustainable urbanization and environmental management. Education: She holds a Diplom (Univ.) in Geoecology from the University of Bayreuth and a Dr.-Ing. in Electrical Engineering/Computer Science from the University of Kassel. She teaches courses on geo-information management and data analytics. Research emphasizes multi-scale modeling, stakeholder engagement, and participatory approaches to socio-ecological systems. Recent work explores urban growth in Africa, methane emission monitoring, and renewable energy siting. Articles highlight interdisciplinary methods in GIS, climate policy, and community geography. Professional service includes roles with iEMSs, IALE, and the AAG. No ancillary activities reported. Her work bridges technical geospatial tools with societal challenges, emphasizing practical policy applications.

Joost De Moorمشاهده پروفایل

استادیار

• Environmental Politics
• Social Movements
• Political Participation
• +۴ مورد دیگر

Joost de Moor is an Assistant Professor in Political Science at Sciences Po’s Centre for European Studies and Comparative Politics (CEE) . His research bridges Environmental Politics , Social Movements , and Political Participation , with a focus on climate activism, lifestyle politics, and post-political strategies. He holds a PhD in Social Sciences: Political Science from the University of Antwerp (2016) and has held postdoctoral positions at Keele University (2016-2018) , Stockholm University (2018-2021) , and Leiden University (2021) . A visiting scholar at the University of Mannheim (2015) , his work spans urban environmentalism, climate summit dynamics, and strategic movement adaptation.

Samuel W.K. Wongمشاهده پروفایل

دانشیار

• Data Science Methodology
• Protein Structure Analysis
• Reliability Engineering
• +۴ مورد دیگر

Samuel W.K. Wong is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. He holds a Ph.D. in Statistics from Harvard University (2013) under Prof. Samuel Kou. His research focuses on statistical methodology for complex data science challenges in protein structure modeling, dynamic systems inference, and reliability engineering of wood-based products. He has held academic positions at the University of Florida (2013–2018) and has been at Waterloo since 2018. His research interests include Bayesian computation, statistical inference for dynamic systems, and spatial-temporal data analysis. Notable contributions include the development of manifold-constrained Gaussian processes (MAGI package) and sequential Monte Carlo methods for protein folding studies. He has advised over 15 graduate students and researchers, many of whom are now in academic or industry roles worldwide. Wong has received teaching distinctions at Harvard and holds awards including the Nash Medal (2008) for academic excellence. His work bridges computational statistics with applications in bioinformatics, structural engineering, and environmental science. He has published extensively in top-tier journals like Journal of Computational and Graphical Statistics and Biometrics , and collaborates with wood scientists to improve real-time lumber quality assessment using laser imaging data. His teaching portfolio includes courses on probability theory, statistical inference, and spatial data analysis at both undergraduate and graduate levels. Beyond academia, he maintains an active passion for classical piano performance, having performed recitals combining music with his statistical research interests.

Di Buمشاهده پروفایل

دانشیار

• FinTech
• Climate Finance
• Household Finance
• +۳ مورد دیگر

Di Bu is an Associate Professor in the Department of Applied Finance at Macquarie University, leading the Macquarie University FinTech and Banking Research Centre. He holds a PhD in Finance from the University of Queensland (2015). His research focuses on FinTech innovations, climate finance, household finance, and behavioral finance, with an emphasis on embedding sustainability into financial systems. He has secured over AUD 4 million in research funding through ARC Linkage and Discovery projects, focusing on AI-driven credit assessments, Open Banking, ESG analytics, and climate resilience. Education PhD in Finance, University of Queensland (2015) Research Interests Di's work explores belief formation in financial decisions, sustainable lending practices, and climate adaptation tools. He pioneers projects such as AI credit scoring systems, behavioral interventions for sustainable investing, and digital platforms for climate resilience. His interdisciplinary approach bridges industry, government, and academia to address financial and environmental challenges. Projects & Funding AUD 4M+ in grants including two ARC Linkage and one ARC Discovery projects Current initiatives: Greenwashing detection, ESG rating divergence analysis, and climate-resilient finance platforms Labs/Teams Director of the FinTech & Banking Research Centre and affiliated with Data Horizons Research Centre and Frontier AI Research Centre at Macquarie University.

• Quantitative Finance
• Risk Management
• Operational Research
• +۶ مورد دیگر

Sandra Paterlini is a Full Professor in the Department of Economics and Management at the University of Trento, Italy. She holds academic roles including Co-Chair of the ERCIM Working Group on Optimization Heuristics and Vice-Chair of the IEEE Task Force on Portfolio Optimization. Her career includes visiting positions at institutions such as the University of Minnesota and Ludwig-Maximilians-Universität München. She earned a PhD in Computational Methods for Financial and Economic Decisions from the University of Bergamo, an MSc in Financial Mathematics from the University of Warwick, and a Laurea in Economics from the University of Modena and Reggio E. Her research focuses on quantitative finance, risk management, portfolio optimization, and network analysis, with applications to ESG, systemic risk, and financial stability. Key research contributions include methodologies for sparse graphical modeling, systemic risk analysis, and ESG scoring frameworks. She has received multiple awards for research excellence and serves on editorial boards of journals like Computational Statistics & Data Analysis and Frontiers in Applied Mathematics and Statistics . Her work bridges academia and policy, with contributions to the European Central Bank’s Financial Stability Directorate and involvement in global conferences on computational finance and econometrics.

• Transport Modelling
• Economic Analysis of Transport
• Sustainable Transportation
• +۳ مورد دیگر

Anders Karlström is a Professor at KTH Royal Institute of Technology, specializing in Transport Modelling and Economics. His research focuses on sustainable transportation systems, emissions reduction, and energy efficiency. Key interests include activity-based modelling, dynamic discrete choice frameworks, and policy analysis for urban mobility. He has contributed to studies on travel behavior, infrastructure planning, and environmental impacts of transport systems across multiple international cities. His work integrates advanced methodologies such as recursive logit models, spatial regression, and machine learning for predictive analytics. Notable research areas involve evaluating weather variability effects on travel patterns, optimizing traffic state estimation with sensor data, and developing scenario-based models for future employment growth. Karlström collaborates with industries to enhance the competitiveness of sustainable transport solutions globally.

Olli Varisمشاهده پروفایل

استاد

• Water Resources Management
• Sustainable Development
• Climate Change Adaptation
• +۵ مورد دیگر

Olli Varis is an Aalto Distinguished Professor at Aalto University's Department of Built Environment, specializing in Water and Environmental Engineering. He holds adjunct professorships at Asian Institute of Technology (Thailand) and has served as Vice Dean for Research & Innovation at Aalto School of Engineering (2013–2018). His expertise spans water resources management in developing economies, climate change impacts, and transboundary water governance. Education: Doctoral degree in Engineering (Helsinki University of Technology, 1991), Licentiate (1988), and dual Master's degrees in Agriculture (University of Helsinki, 1986) and Engineering (Helsinki University of Technology, 1984). Research focuses on sustainable development goals (SDGs), particularly water-energy-food nexus dynamics, urbanization impacts, and global river basin vulnerabilities. Key interests include flood early warning systems, migration-environment linkages, and Asian transboundary water challenges. Notable awards include Aalto Excellence Awards (2018, 2021), Best Research Paper 2023, and Environmental Research Letters' Best Paper 2010. Over 350 publications include works on China's water risks, Nepal's flood resilience, and global migration drivers. Active in UNESCO, WMO, and UNU/WIDER. Recent projects address urbanization's environmental pressures, interdisciplinary education challenges, and东南亚数字经济的崛起与挑战 (Vietnam's digital economy challenges). Leads the Water and Environmental Engineering research group, supervising 12 theses. Involved in public outreach,如芬兰赫尔辛基大学的媒体参与案例.

Genevieve Cezardمشاهده پروفایل

پژوهشگر ارشد

• Health Inequalities
• Multimorbidity
• Chronic Disease Epidemiology
• +۳ مورد دیگر

Dr. Genevieve Cezard is a Research Fellow in the Cardiovascular Epidemiology Unit at the University of Cambridge and a fellow of the Big Data for Complex Diseases driver programme (HDR UK). Her work leverages linked electronic health records across 70 million UK residents to investigate population health, with emphasis on health inequalities, disease associations, and multimorbidity development. Her educational trajectory began as a statistician at the University of Edinburgh (2010), leading to a PhD from the University of St Andrews (2016) focused on ethnic health disparities in Scotland. Subsequent research established methods to characterize multimorbidity trajectories based on core diseases. Genevieve's research spans: Long-term health impacts of diabetes and chronic conditions Social determinants of disease trajectories Population-level vaccine effectiveness analysis Epidemiological modeling of multimorbidity Health record linkage methodologies Disparities in healthcare access by demographics She currently leads a fellowship project examining diabetes complications during the COVID-19 era (2020-2027), analyzing health consequences across diverse subgroups using integrated GP/hospital records from England, Scotland, and Wales. Scientific recognition includes: Competitive St Leonard’s PhD studentship (University of St Andrews) Prestigious HDR UK Big Data for Complex Diseases Fellowship As lead analyst for England on the first UK-wide study of under-vaccination using individual-level health records, her findings directly informed national public health interventions. Current work focuses on identifying diabetes-related disease trajectories to optimize clinical follow-up protocols across the UK healthcare system. She collaborates within HDR UK's Molecules to Health Records Driver Programme, utilizing cross-institutional health data infrastructure.

Elizabeth Lemmonمشاهده پروفایل

پژوهشگر ارشد

• Health Economics
• Applied Econometrics
• Aging Economics
• +۳ مورد دیگر

Elizabeth Lemmon is a Research Fellow within the Health Economics Group of the Edinburgh Clinical Trials Unit at the Usher Institute, University of Edinburgh. Her work focuses on applying econometric methods to healthcare and social care data, particularly in the context of aging populations and long-term care provision. PhD in Economics, University of Stirling (2019) MSc in Economics, University of Edinburgh (2014) BA Hons in Economics, University of Stirling (2013) Her research spans applied econometric analysis of survey and administrative data, economic aspects of aging, unpaid care dynamics, long-term care provision, health and care resource utilization at end-of-life, and policy implications derived from data-driven insights. A key component of her work involves leveraging Scottish and English national health data repositories to evaluate cancer care costs, screening efficiency, and treatment outcomes. Recent publications highlight her expertise in analyzing colorectal cancer economics, end-of-life hospital cost trajectories, and long-term care vulnerabilities during pandemics. She has contributed to the development of the national CORECT-R data repository and has explored international comparisons of care home mortality during the COVID-19 crisis. Elizabeth is actively engaged in public and patient involvement initiatives, ensuring her research informs both policy and clinical practice through the integration of administrative datasets.

Jian Zhaoمشاهده پروفایل

دانشیار

• Information Visualization (InfoVis)
• Human-Computer Interaction (HCI)
• Data Science
• +۶ مورد دیگر

Jian Zhao is an Associate Professor at the University of Waterloo's School of Computer Science, specializing in Information Visualization (InfoVis), Human-Computer Interaction (HCI), and Data Science. With a Ph.D. from the University of Toronto (2016), his research emphasizes interactive visualization techniques, AI integration in design processes, and socio-technical systems. He explores how human-AI collaboration can enhance data analysis, presentation, and user experience in complex systems. Key research areas include: 1) AI-Driven Design (e.g., code generation via sketching, infographic creation), 2) Health Informatics (therapeutic AI tools for autism support), 3) Immersive Technologies (VR/AR interfaces for presentations and education), and 4) Social Computing (remote family communication, multi-modal emoticons). His work bridges technical innovation with human-centered design principles. His publications (2021–2025) reflect a focus on interactive visualization frameworks (e.g., iTrace for cross-view data analysis), AI-human collaboration (CoLadder for hierarchical code editing), and specialized applications like TherAIssist for art therapy and EMooly for autism support. Zhao frequently explores novel interaction modalities , including gesture-based VR interfaces and sketch-based programming tools. He leads projects in computational notebooks (EDAssistant, Slide4N), visual analytics (MissBin for bipartite networks), and neurofeedback training games (Eggly). His work often emphasizes systematic design considerations for missing data, cross-view analysis, and contextual visualization in spatial AR environments.

E. Keith Smithمشاهده پروفایل

مدرس

• Climate Change Attitudes and Behaviors
• Social Tipping Processes
• Quantitative Methodologies
• +۳ مورد دیگر

Dr. E. Keith Smith is a Lecturer at ETH Zürich's Department of Humanities, Social and Political Sciences, affiliated with the Center for Comparative and International Studies (CIS). His research focuses on sociopolitical dimensions of climate change, particularly climate change attitudes, behaviors, and social tipping processes. He holds PhD from Colorado State University and master’s degrees from KU Leuven and University of British Columbia. His work explores why individuals engage—or disengage—in climate action, emphasizing factors like political polarization, religious beliefs (especially evangelical Protestantism), and trust in institutions. Smith's research employs quantitative methodologies and addresses challenges in environmental policy implementation, such as equitable air quality monitoring and global supply chain regulations. He contributed to the DominoES project on social tipping dynamics and has published in journals like Global Environmental Change and Nature Scientific Reports . His recent studies analyze public support for climate policies across Europe and the U.S., emphasizing how procedural inclusiveness and transparency can build trust in environmental governance. He also explores mobility policies in Switzerland, including road pricing and public transport expansion, using experimental methods to gauge citizen preferences. Smith’s work bridges environmental science and social science, aiming to identify pathways for transformative societal shifts toward climate action. His current projects focus on social tipping mechanisms and the interplay between climate risk anticipation and policy demand.

Zhigang Pengمشاهده پروفایل

استاد

• Seismology
• Geophysics
• Earthquake Dynamics
• +۴ مورد دیگر

Dr. Zhigang Peng is a Professor in the School of Earth & Atmospheric Sciences at Georgia Institute of Technology, part of the College of Sciences. His research focuses on seismicity dynamics, fault zone imaging, and data science applications in geophysics. He holds a Ph.D. in Geological Sciences from the University of Southern California (2004), an M.S. in Electrical Engineering (2002), and a B.S. in Geophysics from the University of Science and Technology of China (1998). Dr. Peng’s work spans seismological studies of earthquake triggering mechanisms, fault zone structures, and deep-focus earthquakes. He has pioneered dense seismic array techniques to image fault systems and employs machine learning for event detection and phase picking. His recent projects include analyzing the 2023 Kahramanmaraş earthquake sequence in Türkiye and the 2024 Noto earthquake in Japan. He leads initiatives like the Center for Collective Impact in Earthquake Science (C-CIES), promoting inclusive scientific collaboration. Research Highlights: Fault zone imaging, dynamic triggering, AI-driven seismology Labs: ES&T 2235 (Seismology Lab), ES&T 2256 (Office) His awards include the 2002 AGU Outstanding Student Paper Award. He actively contributes to earthquake hazard assessment, nuclear explosion monitoring, and volcano-seismic interactions, with over 150 peer-reviewed publications.

Slava Jankinمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Slava Jankin is a Professor of Data Science and Government at the University of Birmingham’s School of Government, where he also serves as Deputy Director of the Institute for Data and AI and Founding Director of the Centre for Artificial Intelligence in Government. He is concurrently a Fellow and Founding Director of the Data Science Lab at the Hertie School in Berlin. Previously, he held a Professorship at the University of Essex and has worked at University College London (UCL) and the London School of Economics (LSE). His research bridges computational methods, governance, and climate policy, with a focus on AI applications in public institutions, climate-health surveillance, and misinformation resilience. Jankin earned a PhD in Political Science from Trinity College Dublin (2009), a Postgraduate Diploma in Statistics (2006), and a BSc from Belarus State Economic University (2002). **Education**: • PhD in Political Science, Trinity College Dublin (2009) • Postgraduate Diploma in Statistics, Trinity College Dublin (2006) • BSc Econ with Distinction, Belarus State Economic University (2002) **Research Interests**: Jankin’s work integrates AI and computational methods with governance challenges, including climate policy, health surveillance, and institutional effectiveness. He leads initiatives like the Lancet Countdown’s climate-health monitoring and the CATALYSE project on climate impacts. His research also explores digital twins for governance systems and the role of cultural diversity in societal resilience against misinformation. **Grants & Collaborations**: He advises the UN and EU on AI and data science, co-leads the Lancet Countdown, and collaborates with institutions like the Alan Turing Institute. His applied work includes developing AI tools for public service optimization and policy simulations. **Labs & Teams**: Directs the Centre for AI in Government (University of Birmingham) and the Hertie School’s Data Science Lab, fostering interdisciplinary teams to advance computational methods in public policy.

Bhishna Bajracharyaمشاهده پروفایل

دانشیار

• Urban Planning
• Disaster Management
• Master Planned Communities
• +۵ مورد دیگر

Dr Bhishna Bajracharya is an Associate Professor of Urban Planning at Bond University's Faculty of Society & Design. He previously taught at Queensland University of Technology (QUT) for over 12 years and worked as a post-doctoral fellow at the Australian National University. His research focuses on urban sustainability, disaster resilience, and master-planned communities. Education: PhD in Urban Planning, University of Hawaii (200?) MURP in Urban Planning, University of Hawaii BArch in Architecture, Delhi University Research Interests: Smart cities and infrastructure Disaster management and community resilience Transit-oriented development Climate change adaptation Sustainable campus design Knowledge-based regional economies Recent Research Trends: His recent work emphasizes cross-border planning (e.g., Gold Coast Airport integration), megaproject governance, and innovative disaster management frameworks. He frequently collaborates with governments and NGOs to bridge research and policy gaps. Awards & Grants: Australian Research Council (ARC) Linkage Grant for community narratives in urban planning Emergency Queensland grant for disaster governance research Advising & Partnerships: Supervising PhD students in urban planning Collaborations with QUT's Creative Industries faculty Member of Bond University's Sustainability Committee Labs & Teams: Affiliated with the Centre for Comparative Construction Research at Bond University, focusing on global urban challenges.

Aaron J. Chalfinمشاهده پروفایل

دانشیار

• Criminology
• Policing
• Place-Based Crime Prevention
• +۵ مورد دیگر

Aaron J. Chalfin serves as Associate Professor and Graduate Chair of Criminology within the Department of Criminology at the University of Pennsylvania's College of Liberal and Professional Studies. He maintains significant external affiliations as a Senior Fellow at the Niskanen Center, faculty research fellow at the National Bureau of Economic Research, and research affiliate at the University of Chicago Crime Lab. His academic foundation includes: PhD in Public Policy, University of California, Berkeley (2013) MA in International and Development Economics, Yale University (2004) BS in Industrial & Labor Relations, Cornell University (2003) Chalfin's research program centers on policing economics, officer behavioral preferences, place-based crime prevention strategies, and victimization determinants. He concurrently advances methodological rigor in social science through innovations in measurement error correction, spatial crime concentration metrics, and administrative data linkage techniques. His empirical approach consistently bridges theoretical criminology with practical policy evaluation. Recent publications reveal evolving research trajectories across bias-motivated violence measurement during pandemics, low-cost gun violence interventions, racial disparities in traffic fatalities, and methodological improvements for policy analysis. This body of work demonstrates sustained commitment to evidence-based criminal justice solutions through experimental and quasi-experimental designs. His ongoing collaboration with the University of Chicago Crime Lab exemplifies integration between academic research and real-world crime laboratory operations, focusing on scalable public safety innovations.