جستجوی استاد راهنمای دانشگاهی

Joakim Westerlund is a Professor at the Department of Economics at Lund University, Sweden. His research focuses on econometrics, especially panel data econometrics, with expertise in estimation theory, unit root testing, and structural breaks. He teaches econometrics at all academic levels and has supervised numerous bachelor, master, and PhD theses. His work contributes to UN Sustainable Development Goals through methodological advancements in economic analysis. Westerlund has held a Wallenberg Academy Fellowship (2019–2028) and received the Journal of Applied Econometrics Distinguished Author Award in 2018. He collaborates internationally and actively contributes to academic conferences. His research spans theoretical econometrics, empirical applications, and econometric software development. Current PhD supervision includes students working on topics like robustness to structural breaks and human capital analysis. Key research interests include panel unit root tests, interactive effects models, and methodological innovations for handling cross-sectional dependence. His recent work addresses structural breaks in panel data and the New Keynesian Phillips Curve in European economies. He has published widely in top journals such as the Journal of Applied Econometrics and the Oxford Bulletin of Economics and Statistics.

• Econometrics
• Panel Data Analysis
• Time Series Analysis
• +۳ مورد دیگر

Martin Solberger is an Associate Professor in the Department of Statistics at Uppsala University, where he received his PhD in statistics in 2013 and was promoted to associate professor in 2022. His office is located at Ekonomikum (3rd floor), Kyrkogårdsgatan 10, with postal address Box 513, 751 20 UPPSALA. Dr. Solberger specializes in time series econometrics with particular expertise in macroeconomic forecasting and estimation of latent time series variables including potential GDP and the neutral interest rate. His research demonstrates sophisticated methodological approaches to dynamic factor models, unit root testing, and interest rate analysis, frequently employing Kalman filtering techniques and Bayesian VAR modeling. His publication record reveals a strong focus on Scandinavian economic analysis, particularly examining the natural rate of interest and neutral interest rate dynamics within Swedish and broader Nordic contexts. Recent work shows increasing attention to international spillover effects on domestic monetary policy variables and methodological refinements in panel data econometrics. Through extensive collaboration with researchers including Spånberg, Armelius, and Österholm, Solberger has established himself as a significant contributor to modern time series econometrics methodology and its application to central banking and fiscal policy questions.

• Time Series Econometrics
• Macroeconomic Forecasting
• Latent Time Series Estimation
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Fariya Sharmeen is an Associate Professor of Mobility and Urban Planning at KTH Royal Institute of Technology's School of Architecture and the Built Environment (ABE), affiliated with the Digital Futures Faculty. She holds a PhD from Eindhoven University of Technology and has previously served as Assistant Professor at Radboud University, Lecturer at Bangladesh University of Engineering and Technology (BUET), and research fellow at institutions including TU Delft and Imperial College London. Her research focuses on sustainable mobility transitions, social network dynamics in travel behavior, and policy responses to emerging transport technologies like MaaS and cycling innovations. Notable honors include the 2017 Piet Rietveld Award for transport research and a 2013 Royal Geographic Society award for transport geography. Sharmeen advises doctoral and master’s students on topics such as urban transformation and mobility governance. She coordinates courses like Sustainable Mobility (FAG3187) and leads projects like Bicification and ENCom. Her work integrates quantitative methods with policy analysis, addressing challenges in both global north and south contexts.

• Urban Planning
• Travel Behavior Modeling
• Social Network Analysis
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Joakim Westerlund is a Professor in the Department of Economics at Lund University's School of Economics and Management. With over 134 research outputs and 33 academic activities, his work focuses on econometrics, particularly panel data analysis, structural breaks, and estimation theory. He has contributed to the development of econometric methods for the New Keynesian Phillips Curve and common correlated effects models. Active Wallenberg Academy Fellowship (2019-2028) Supervised 11 doctoral theses and bachelor/master projects Peer-review panel member and journal editor His research aligns with UN Sustainable Development Goals in Economics and Econometrics, with significant contributions to panel unit root testing, interactive effects models, and Stata-based econometric methods. Westerlund received the prestigious Journal of Applied Econometrics Distinguished Author award in 2018. Current PhD supervisees include Christina Maschmann (2023-2028), Tilman Bretschneider (2023-2028), Pelle Almgren (2022-2027), and Shayan Meskinimood (2021-2026).

• Econometrics
• Panel Data Econometrics
• Structural Breaks
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Jennifer Ryan is a Professor of Numerical Analysis and Division Head of Numerical Analysis, Optimization, and Systems Theory at the Department of Mathematics, KTH Royal Institute of Technology. Her research focuses on designing and developing numerical schemes to extract accuracy from simulations, particularly through superconvergence properties and computational efficiency improvements. She applies these techniques to applications such as imaging, fluid visualization, and plasma dynamics. Education: PhD in Applied Mathematics, Brown University; MS in Mathematics, Courant Institute; BA in Applied Mathematics, Rutgers University. Professional Activities: Member of editorial boards for BIT Numerical Mathematics, ESAIM:M2AN, and Communications on Applied Mathematics and Computation; Steering committee member of AWM's Women in Numerical Analysis and Scientific Computing (WINASc). Her publications emphasize discontinuous Galerkin methods, SIAC filtering, and applications in fluid dynamics. She has served on multiple grant review panels and received awards for diversity and inclusion initiatives. Grants: Principal Investigator for projects funded by the Swedish Research Council, NSF, and US Air Force Office of Scientific Research. Awards: Fellow of UK Higher Education Academy, DAAD Fellowship, and Householder Fellowship.

• Numerical Analysis
• Computational Fluid Dynamics
• Applied Mathematics
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Andreas Duit is a Professor of Political Science at Stockholm University and also serves as a Guest Professor at the Political Science Unit, Luleå University of Technology. His academic work focuses on comparative environmental politics with special emphasis on the role of the state in addressing environmental challenges. Department of Political Science, Stockholm University Guest Professor, Political Science Unit, Luleå University of Technology Former visiting scholar at the Workshop in Political Theory and Policy Analysis at Indiana University, Bloomington Former visiting scholar at the Department of Political Science, University of Washington Professor Duit's research centers on comparative environmental politics, particularly examining how states address environmental challenges. His work employs quantitative methods and cross-national panel data analysis, with additional engagement in complex system analysis and survey research. His primary research interests include climate policy, environmental governance, sustainability transitions, and the relationship between welfare states and environmental policy. Analysis of Professor Duit's recent publications reveals a strong focus on climate governance mechanisms, environmental state development, and the interplay between political institutions and environmental outcomes. His research spans multiple analytical levels from international climate agreements to domestic policy implementation, with particular attention to how different governance structures affect environmental performance across countries. GREENTRANS: The Great Green Transformation – Politics, Markets and Civil Society in the Anthropocene (funded by Marcus and Marianne Wallenberg Foundation) THERAPY: The Electoral Ramifications of Environmental Policy (funded by FORMAS) GLEAN: A Global Survey of Learning, Participation and Ecosystem Management in Biosphere Reserves GRACE: Governing the Anthropocene – Environmental Policy and Outcomes in a Comparative Perspective Professor Duit has secured significant research funding from major Swedish research organizations including FORMAS, MISTRA, the Swedish Research Council, and the Marcus and Marianne Wallenberg Foundation. His research portfolio demonstrates a consistent focus on understanding the political dimensions of environmental challenges and identifying effective governance approaches for sustainability transitions.

• Comparative Environmental Politics
• Climate Policy
• Environmental Governance
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Rickard Sandberg is an **Associate Professor** and **Center Director** at the **Department of Entrepreneurship, Innovation and Technology** at the **Stockholm School of Economics (SSE)**. His work bridges econometrics, statistics, and business analytics with a focus on time series analysis, machine learning applications, and sustainability measurement. **Research Interests**: Machine Learning, Deep Learning, Data Analytics, Predictive Analytics, Forecasting, Nonlinear Time Series Modelling, Structural Economic Modelling, Econometrics, and Measuring Sustainability. His research emphasizes theoretical advancements in statistical methods and their practical application in economic and business contexts. **Key Contributions**: His publications explore unit root testing in nonlinear models, ESG rating challenges, and the impact of energy policies. Notable works include analyzing Scandinavian unemployment trends, cartel damage calculations, and Nordic companies' data-driven transformations. His 2023 paper on ESG ratings proposes solutions for consistency in ambiguous evaluation systems. **Teaching & Outreach**: Teaches advanced econometric time series courses (e.g., MSc 5314) and actively engages in international academic collaborations through presentations in Japan and Brazil. His work on AI for sustainability highlights interdisciplinary outreach efforts. **Labs/Teams**: Leads research initiatives within SSE’s Department, focusing on entrepreneurship and innovation through data and economic modeling frameworks.

• Machine Learning
• Deep Learning
• Data Analytics
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Giovanni Forchini is a Professor at the Umeå School of Business, Economics and Statistics (USBE), Umeå University, Sweden. His research focuses on econometrics, panel data analysis, and their applications in health economics and epidemiological modeling. He holds the title of Docent, a Swedish academic qualification reflecting advanced expertise. His work bridges theoretical econometrics with practical policy analysis, particularly in pandemic preparedness and healthcare optimization. Research Themes: Econometric methodologies for panel data and structural equation models Quantifying pandemic impacts on healthcare systems and economies Optimization of resource allocation during public health crises Key Contributions: Developed the DAEDALUS model for integrated economic-epidemiological policy simulations Analyzed SARS-CoV-2 transmission dynamics and vaccine impact in multiple countries Pioneered statistical methods for handling multifactor structures in panel data Awards & Grants: USBSE Pedagogical Prize 2020 Funding from Forte (Swedish Research Council for Health, Working Life and Welfare) and Handelsbanken Teaching & Mentorship: Coordinates Master’s theses in Economics at USBSE Teaches advanced courses like Econometrics 1 & 2 and Analysis of Financial Data

• Econometrics
• Panel Data Analysis
• Health Economics
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Federico Sánchez Quinto is a Visiting Researcher at Uppsala University's Department of Organismal Biology, specializing in ancient DNA analysis and population genomics. His work bridges evolutionary biology, archaeology, and anthropology to investigate human prehistory through genomic evidence. His research focuses on Population Genetics, Human Evolution, and Archaeogenetics, with specific expertise in Neolithic Scandinavian populations, Denisovan ancestry in Southeast Asia, and prehistoric migration patterns. He examines how genetic adaptations, pathogen evolution, and social structures shaped ancient societies, integrating genomic data with archaeological context to reconstruct human history. Recent publications reveal trends in analyzing ancient pathogen genomes, kinship systems in megalithic tombs, and high-impact discoveries like the Philippine Ayta's exceptional Denisovan ancestry. His methodological contributions to ancient DNA imputation enhance analytical precision in population genomics, while cross-disciplinary studies on Philippine migrations and Scandinavian adaptations demonstrate his field's expanding scope. Based at Uppsala University's Evolutionary Biology Centre (EBC), he collaborates within multidisciplinary teams combining genomics, archaeology, and anthropology. His research leverages institutional resources at Norbyvägen 18 C to advance understanding of human evolution through cutting-edge ancient DNA methodologies.

• Population Genetics
• Human Evolution
• Ancient DNA
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Marlene Ågerstrand is a Senior Lecturer at the Department of Environmental Science , Stockholm University . Her research focuses on the science-policy interface in chemical risk assessment and management, emphasizing how scientific data inform decision-making, the effectiveness of regulatory strategies, and the role of experts in policy development. She actively collaborates with ecologists, toxicologists, chemists, political scientists, and environmental lawyers. Key affiliations: International Panel on Chemical Pollution (IPCP) Board member Co-developer of the SciRAP web tool for structured chemical evaluations Member of the Baltic Sea Fellows interdisciplinary network Research Interests include improving environmental risk assessments of chemicals, science-policy interactions in chemical management, and pathways to a non-toxic circular economy. She specializes in qualitative methods like document analysis and stakeholder interviews. Recent Publications span environmental quality standards under the Water Framework Directive, essential-use concepts in REACH authorization, regulatory disparities in antimicrobial substance controls, and systematic review frameworks for endocrine disruptors.

• Chemical Risk Assessment
• Science-Policy Interface
• Environmental Toxicology
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Måns Söderbom is a Professor of Economics at the Department of Economics, University of Gothenburg, where he has served as Head of Department from 2015 to 2021. He holds academic affiliations with institutions such as the International Growth Centre (IGC) and UNU-WIDER. His expertise lies in development economics, with a focus on manufacturing productivity, industrial policy, and the impact of infrastructure and trade policies in developing economies. Education: PhD in Economics from the University of Gothenburg (2000), Bachelor of Economics and Business Administration from Göteborg University (1995). Prior to his current position, he worked at the University of Oxford’s Centre for the Study of African Economies (CSAE) from 2000 to 2007. Research Interests: His work addresses critical questions in development economics, including firm-level dynamics in Africa, the effects of foreign direct investment (FDI), and the role of infrastructure in economic growth. He has conducted extensive studies on Ethiopia’s manufacturing sector, post-harvest agricultural technologies, and the impact of policy interventions on firm performance. Publications Highlight: Söderbom has over 50 peer-reviewed articles in journals such as Economic Development and Cultural Change , Journal of Development Studies , and World Bank Economic Review . Recent work includes studies on storage technology adoption in Tanzanian agriculture and the relationship between enterprise clustering and productivity in Ethiopia. Grants & Awards: Recipient of awards from the Swedish Research Council, IZA, and Sida/SAREC. He was voted Teacher of the Year (2007) by students at the University of Oxford. Advising & Mentorship: Supervised over 15 PhD students, including notable scholars who have taken up academic roles at universities like Columbia, Renmin University of China, and the University of Cape Town. Labs/Teams: Active in collaborative research networks such as the International Growth Centre (IGC) and leads projects on industrial policy and firm competitiveness in Africa.

• Development Economics
• Industrial Policy
• Economic Growth
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Hyunjoo Kim Karlsson is a researcher at the Department of Economics and Statistics, School of Business and Economics, Linnaeus University. Her work focuses on statistics and finance, particularly in high-dimensional data analysis, wavelet decomposition, and machine learning applications. Doctoral thesis: Dynamics of macroeconomic and financial variables in different time horizons (2012), Jönköping International Business School. Her research spans shrinkage estimators, outlier detection, time series modeling, and multivariate analysis under multicollinearity. Recently, she has expanded into statistical learning and mixed data sampling (MIDAS) for economic nowcasting. Key publication trends include oil price impacts on economies, exchange rate dynamics, and nonlinear financial modeling using wavelet methods and machine learning. She collaborates with researchers like Krister Månsson and R. Scott Hacker. Hyunjoo is part of the Deterministic and Stochastic Modelling group within Linnaeus University's Data Intensive Sciences and Applications (DISA) center, contributing to interdisciplinary sustainable co-creation projects.

• Statistics
• Finance
• Time Series Analysis
• +۵ مورد دیگر

Peter Jochumzen is a Senior Lecturer in the Department of Economics at Lund University, Sweden. His research contributes to the UN Sustainable Development Goals through economic analysis and econometric modeling. Research Interests: Econometrics Technical Efficiency Information Economics Duration Analysis Estimation Theory Economic Modeling Research Outputs: He has produced key works including Estimation in Binary Choice Models with Measurement Errors (2003), Stochastic Frontier Production Function With Errors-In-Variables (1999), and his doctoral thesis Essays on Econometric Theory (1998).

• Econometrics
• Information Economics
• Estimation Theory
• +۳ مورد دیگر

Fredrik Falkenström is a Professor at Linnaeus University, where he is affiliated with the Department of Psychology within the Faculty of Health and Life Sciences. He leads the Division of Clinical Psychology and is the principal investigator for the "Identifying the Active Ingredients of psychotherapy: A Methods development project (AIM)", which focuses on developing innovative methods to identify mechanisms of action in psychotherapy. Dr. Falkenström's research spans multiple critical areas in clinical psychology and psychotherapy science. His work primarily investigates the mechanisms of change in psychotherapy, with particular emphasis on methodological innovations that bridge the gap between research and clinical practice. His research interests include: Advanced statistical methods for psychotherapy process research Therapeutic alliance and attachment processes Comparative effectiveness of different psychotherapy approaches Applications to anxiety disorders, particularly panic disorder Emotion regulation and its role in therapeutic change Working alliance dynamics across different populations His publication record demonstrates a strong trajectory of methodological innovation in psychotherapy research. Recent work has focused on time-lagged panel models, copula models for causal inference, and detrending methods to better understand the complex temporal dynamics of therapeutic change. His research consistently examines how specific therapeutic processes (such as working alliance, attachment patterns, and emotional processing) relate to treatment outcomes across various disorders and populations, with particular attention to panic disorder and depression. Dr. Falkenström has published extensively in top-tier journals including Clinical Psychology Review, Journal of Consulting and Clinical Psychology, and Psychotherapy Research. His work has significant implications for both the science and practice of psychotherapy, helping clinicians better understand which components of therapy contribute to positive outcomes and how to optimize treatment approaches for individual patients. His research extends across multiple settings and populations, including studies on adolescent mental health, foster care interventions, and cross-cultural applications of psychotherapy. This breadth demonstrates his commitment to understanding psychotherapy mechanisms across diverse contexts and client groups.

• Psychotherapy Research
• Clinical Psychology
• Mental Health Treatment
• +۷ مورد دیگر

Krister Larsson is a Professor of Practice and Docent at the Department of Technical Acoustics, Chalmers University of Technology. He also serves as a senior consultant at Efterklang (AFRY) and has held previous roles at SP and RISE, where he managed acoustics labs and conducted senior research. His expertise spans building acoustics , community noise , and machine noise , with significant contributions to noise reduction in urban environments and lightweight structures. Research Interests : Larsson focuses on acoustic modeling , vibroacoustic systems , thermoacoustic devices , and noise control in transportation infrastructure . His work bridges theoretical acoustics and practical applications, including sound classification standards, noise barriers, and sustainable urban planning. Scientific Awards : While no awards are explicitly listed, his extensive publication record and leadership roles in acoustics research groups underscore his professional impact. Teaching & Affiliations : He teaches foundational and advanced courses in the ACE program and Master's program in Sound and Vibration . His career includes collaborations with research institutions (SP, RISE) and industry (AFRY).

• Building Acoustics
• Community Noise
• Machine Noise
• +۴ مورد دیگر