جستجوی استاد راهنمای دانشگاهی

Trine Krogh Boomsma is a Professor in the Department of Insurance and Economics at the University of Copenhagen's Department of Mathematical Sciences. Her research focuses on optimization under uncertainty with significant applications in energy systems, particularly electricity markets, renewable energy investments, and power system planning. PhD in Mathematics-Economics, Aarhus University (2003-2007) Visiting PhD at University of Duisburg-Essen (2004) Academic career includes positions at Risø National Laboratory for Renewable Energy and Imperial College London Her work spans stochastic programming, real options analysis, and dynamic programming to address energy sector challenges. Key areas include support schemes for renewables, market risk modeling, and operational optimization of hybrid conventional-renewable systems. Recent research explores policy impacts on investment decisions and advanced scenario generation techniques. Major publications (2012-2020) cover renewable energy policy frameworks, power plant valuation models, and sequential market bidding strategies. These works emphasize electricity market dynamics, investment risk quantification, and robust planning under uncertainty. She teaches linear programming, integer programming, and stochastic programming applications in operational analysis, contributing to energy economics education at the department.

• Stochastic programming
• Two-phase and multi-phase models
• Scenario generation and reduction
• +۹ مورد دیگر

Jesper Lund Pedersen is an Associate Professor at the Department of Mathematical Sciences , University of Copenhagen , specializing in applied probability theory with applications in financial mathematics and insurance mathematics . His research spans stochastic processes, optimal stopping time problems, and stochastic control. Education : PhD in Mathematics (2000, Aarhus University) His work addresses: (Nonlinear) optimal stopping time problems Stochastic control and filtering Multidimensional point processes Levy processes in finance Key publications reveal expertise in Bayesian changepoint detection , random drift identification , and mean-variance portfolio optimization , with interdisciplinary applications in neuroscience (V-ATPase dynamics) and epidemiology. Scientific awards : Villum Experiment Grant (2018-2020) Steno Research Fellowship (2002-2005) His research collaborations span Denmark, the UK, Germany, and the USA, focusing on probability theory, financial mathematics, and biomedical applications.

• Applied Probability Theory
• Financial Mathematics
• Insurance Mathematics
• +۳ مورد دیگر

Johannes Wiesel is an Associate Professor at the Department of Mathematical Sciences , University of Copenhagen. His research aligns with the Insurance and Economics Section , focusing on areas such as Insurance, Economics, Statistics, and Probability. Contact details: Email: wiesel@math.ku.dk Phone: +4535325194 Address: Universitetsparken 5, DK-2100 København Ø

• Insurance
• Economics
• Statistics
• +۱ مورد دیگر

Jeffrey F. Collamore is a full Professor at the Department of Mathematical Sciences , University of Copenhagen, specializing in Insurance and Economics (work area: IE). His research focuses on advanced probability theory and its applications in insurance mathematics and quantitative risk management. University of Copenhagen (2002-present) ETH Zurich (2000-2002) EURANDOM (1999-2000) Lund University (1998-1999) University of Illinois (1996-1998) Research Focus : Large deviations and rare event estimation Stochastic fixed point equations and random matrices Harris recurrent Markov chains Multidimensional ruin problems in insurance Stochastic simulation techniques Education : Ph.D. and MA in Mathematics, University of Wisconsin, Madison (Advisor: Peter Ney) BS in Physics and Mathematics, University of California, San Diego

• Probability Theory
• Large Deviations
• Harris Recurrent Markov Chains
• +۱۲ مورد دیگر

Mogens Bladt is a Professor of Applied Probability and Insurance Mathematics at the Department of Mathematical Sciences, University of Copenhagen. He has held positions since 2018 after 24 years as Principal Researcher at the National University of Mexico (1994-2018), with visiting professorships at Technical University of Denmark and University of Copenhagen since 2001. Research: Focuses on time-inhomogeneous phase-type distributions, matrix-oriented life insurance models, heavy-tailed distributions, and diffusion bridge simulation Teaching: Offers graduate/undergraduate courses in Applied Probability, Stochastic Processes, Risk Theory, and Numerical Analysis Scientific Contributions: Developed R packages for Markov jump processes, phase-type distributions, and diffusion bridges. Holds grants from Mexico and Denmark, including Danish Research Council funding (2007–2008). Supervised 5 PhD, 8 Master’s, and 13 Bachelor’s theses Organized academic workshops and served as Associate Editor for Stochastic Models since 1997

• Applied Probability
• Insurance Mathematics
• Finance
• +۳ مورد دیگر

Maria Maistro is a Tenure Track Assistant Professor at the Department of Computer Science, Faculty of Science, University of Copenhagen. Her research focuses on Information Retrieval (IR) with emphasis on evaluation, reproducibility, click log analysis, learning to rank, expert search, and machine learning applications to IR. She contributes to the AMAOS project aiming to advance expert search methodologies. PhD in Computer Science (IR) from University of Padua (2017) MSc in Mathematics (probability, stochastic methods) from University of Padua (2014) Maria's research addresses critical challenges in IR evaluation through stochastic modeling and user signal analysis. She investigates fairness-relevance tradeoffs in recommender systems, cross-cultural retrieval frameworks, and explainability techniques for language models and recommendation algorithms. Her work combines theoretical foundations with practical applications in healthcare records, insurance domains, and culinary contexts. Recent publications (2024–2025) demonstrate her expertise in: Retrieval-Augmented Generation (RAG) for cross-cultural adaptation Fairness evaluation in recommender systems EEG-based semantic relevance analysis Session-based recommendation explainability Language model pruning consistency Reproducibility frameworks for IR experiments Maria actively participates in academic activities through conference organization roles, including: Organizer, CENTRE@CLEF 2019 Organizer, CENTRE@NTCIR 2019 Organizer, CENTRE@CLEF 2018 Organizer, LEARNER 2017

• Information Retrieval
• Machine Learning
• Evaluation
• +۴ مورد دیگر

Mogens Steffensen is a Professor of Life Insurance Mathematics at the Department of Mathematical Sciences, University of Copenhagen (since 2008, permanently since 2012). He currently serves as Head of Department since 2023. His academic roles include editorship of the Scandinavian Actuarial Journal (since 2006) and associate editorship of Insurance: Mathematics and Economics (since 2013). He is affiliated with the University's mathematical sciences division and maintains an office at Universitetsparken 5 in Copenhagen. His research focuses on actuarial science, financial mathematics, and stochastic processes applied to insurance and risk management. Editorial Roles: Editor, Scandinavian Actuarial Journal (2006–present) Associate Editor, Insurance: Mathematics and Economics (2013–present) Affiliations: His primary institutional affiliation is the University of Copenhagen, where he has held professorial and leadership roles for over 15 years. No additional labs or teams are explicitly mentioned in the provided text.

• Life Insurance Mathematics
• Actuarial Science
• Financial Mathematics
• +۳ مورد دیگر

Yuri Goegebeur is an Associate Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark, affiliated with the SDU Climate Cluster. His research focuses on extreme value theory, statistical modeling, and actuarial science, particularly in areas like reinsurance pricing, tail risk analysis, and censoring data methods. He has contributed extensively to methodologies for estimating extreme quantiles, tail dependence functions, and risk measures under various conditions. His work integrates advanced statistical techniques with applications in finance, insurance, and environmental risk assessment. Key research interests include extreme value analysis, robust estimation techniques, and the development of risk measures for time series and censored datasets. He has published over 80 articles in peer-reviewed journals and serves on editorial boards for journals like Extremes and Psychometrika . His collaborative projects involve analyzing extreme weather impacts on healthcare systems and advancing multivariate regression models for extreme values. Recent publications emphasize conditional tail moment estimation, dependent risk measures, and applications in reinsurance. His research bridges theoretical statistics with practical challenges in actuarial science and environmental modeling. He has co-led projects funded by institutions like Villum Fonden, focusing on extreme value methodologies for real-world problems such as climate-related health risks.

• Extreme Value Theory
• Statistical Modeling
• Actuarial Science
• +۵ مورد دیگر

Thomas Valentin Mikosch is a Professor at the Department of Mathematical Sciences , University of Copenhagen. His research focuses on extreme value theory, stochastic processes, and time series analysis with applications in actuarial mathematics and risk management. Extreme value theory for dependent data Heavy-tailed distributions in financial and insurance contexts Statistical inference for stochastic models Recent work includes publications on power-law tails in time series, cluster inference for extremal events, and distance covariance in spatial models. He has served as an editor for journals like Bernoulli and Stochastic Processes and Their Applications and holds memberships in prestigious organizations such as the Royal Danish Academy for Sciences and Letters.

• Extreme Value Theory
• Stochastic Processes
• Time Series Analysis
• +۳ مورد دیگر

Julie Thøgersen is an Assistant Professor at the Department of Economics and Business Economics, Aarhus University. She specializes in actuarial science, particularly insurance mathematics, with a focus on optimal premium selection, market competition, and risk modeling. Primary Affiliation: Department of Economics and Business Economics, Aarhus University Education: PhD in Mathematics, Aarhus University Her research integrates stochastic control , game theory , and Bayesian statistics to analyze insurance market dynamics, product design, and experience rating. Recent work addresses credibility premium rules, capital requirements, and welfare implications of insurance deductibles. Julie has published extensively in journals like Insurance: Mathematics and Economics and ASTIN Bulletin . Key trends in her work include non-life insurance strategies , stochastic modeling , and market equilibrium analysis .

• Actuarial Science
• Insurance Mathematics
• Risk Management
• +۴ مورد دیگر

Pontus Rendahl is a Professor of Economics at Copenhagen Business School (CBS), holding the title 'Professor with special responsibilities.' He specializes in macroeconomics, computational economics, and policy analysis. His research bridges theoretical and empirical approaches, focusing on topics like economic uncertainty, labor markets, and fiscal policy. Education: BA/MA from Lund University, Sweden; PhD in Economics from the European University Institute. Former positions include roles at the University of Cambridge and University of California, Davis. Research interests emphasize macroeconomic theory, computational methods in economics, and policy implications of uncertainty. Key publications address unemployment dynamics, deflationary spirals, and trade gains from technological advancements. His work has appeared in top journals like the Review of Economic Studies , Journal of the European Economic Association , and Journal of Monetary Economics . Contributions include developing computational algorithms for solving dynamic economic models, as seen in his work on linear time iteration methods and solution techniques for heterogeneous agent models. His research often explores the intersection of theoretical frameworks and real-world economic challenges.

• Macroeconomics
• Computational Economics
• Theoretical Economics
• +۳ مورد دیگر

Simon Fløj Thomsen is a Research Fellow at Aalborg University Business School, part of the Faculty of Social Sciences and Humanities. His research focuses on macroeconomic modeling with an emphasis on ecological sustainability, unemployment policy, and environmental regulations. He holds a PhD Fellow position and is affiliated with the MaMTEP (Macroeconomic Methodology, Theory and Economic Policy) research group. Teaching responsibilities include Mathematics for Economists, Advanced Macroeconomics, Econometrics, and Causal Inference at both BA and MA levels. He has also developed data analysis courses using DataCamp's interactive platform. His key research areas include stock-flow consistent models, input-output analysis, and the evaluation of Danish unemployment policies. Recent work explores the Porter Hypothesis and carbon leakage under environmental regulations, as well as macroeconomic impacts of policy decisions. He has contributed to 6 peer-reviewed publications between 2024-2025. Recipient of the prestigious Inge Røpke Award (2023), he actively participates in academic networks such as the International Input-Output Association and organized/co-organized workshops like the 'Economic Policies in the Socio-Ecological Transition II' conference (2025). His research integrates ecological and economic systems through advanced modeling frameworks.

• Macroeconomics
• Environmental Economics
• Input-Output Analysis
• +۳ مورد دیگر

Anne Vingaard Olesen is a Guest Researcher and Senior Statistician at Aalborg University Hospital's Faculty of Health Sciences. With a PhD in Epidemiology and a Master in Theoretical Statistics and Mathematics, she specializes in traffic safety analysis, public health research, and statistical modeling. Affiliation: Aalborg University Hospital, Faculty of Health Sciences Education: PhD in Epidemiology (2007), Master in Theoretical Statistics and Mathematics Her research spans traffic safety (hazardous road locations, cyclist/pedestrian safety), public health (chronic pain outcomes, non-response bias in studies), and mental health (self-harm interventions). She employs prospective cohort designs, data integration techniques, and case studies. Recent publications demonstrate expertise in ambulance data applications for traffic safety ADHD medication and accident risk self-harm intervention evaluation health status metrics in chronic pain populations school wellbeing indicators She has received significant media coverage for findings on ADHD medication doubling solo traffic accident risks insurance data as a novel safety resource Current projects include SOLO: Strengthened efforts towards traffic victims ADHD-medicinering og risikoen for trafikulykker (TrygFonden funded) EASE: Intervention mod fartsyndere

• Epidemiology
• Statistics
• Traffic Safety
• +۳ مورد دیگر

Jamaal Ahmad serves as an External Lecturer in the Department of Mathematical Sciences at the Faculty of Science, University of Copenhagen, while concurrently working as an Actuary at Sampension in the Actuarial Finance department. His professional focus encompasses valuation and estimation within life, disability, and pension insurance systems, bridging academic research with industry practice. Education: PhD in Actuarial Mathematics, University of Copenhagen (awarded March 12, 2023) Master in Actuarial Mathematics, University of Copenhagen (awarded September 18, 2019) Bachelor in Actuarial Mathematics, University of Copenhagen (awarded July 3, 2017) Research Interests: Ahmad's scholarly work centers on applied probability and life insurance mathematics, with particular emphasis on modeling, estimation, and market-consistent valuation in life insurance and pensions. His research integrates advanced probability methods with classic actuarial mathematics to develop simulation-based projection models and matrix-oriented approaches for multi-state life insurance systems. This work addresses complex valuation challenges including path dependencies in cash flow projections and bonus computation mechanisms. Publication Trends: His recent publications (2022-2024) demonstrate concentrated advancement in aggregate Markov modeling for life insurance applications. Key themes include EM algorithm estimation techniques, absorption time distribution analysis, phase-type representations for stochastic interest rates, and multivariate moment calculations. These works collectively enhance theoretical frameworks while providing practical valuation tools for multi-state insurance models. Scientific Awards: Best Paper Award within Life/IAALS at the 32nd International Congress of Actuaries (ICA2023) Advising and Teaching: Ahmad has supervised nine master's theses at the University of Copenhagen, covering topics from disability insurance with public benefits to stochastic behavioral rates. He teaches core actuarial courses including Basic Life Insurance Mathematics (Liv1) and Topics in Life Insurance (Liv2), and develops professional training for the Danish Society of Actuaries on matrix methods and projection modeling. Research Group: As a member of the Actuarial Science research group within the Department of Mathematical Sciences, he collaborates extensively with Professors Mogens Bladt and Mogens Steffensen, and maintains international connections through a 2022 visiting position at the University of Lausanne's Actuarial Science department.

• Life Insurance Mathematics
• Actuarial Science
• Applied Probability
• +۳ مورد دیگر

Tove Christensen is an Associate Professor in the Department of Food and Resource Economics at the University of Copenhagen, specializing in economic regulation and food economics. Her research examines public sector roles in food systems, non-market good valuation, and decision-making under uncertainty. 1993: Masters degree in mathematics and economics (Cand. scient. Oecon) 1999: Ph.D. in Environmental Economics at the University of Copenhagen Her work spans food safety (Campylobacter, Salmonella), animal welfare economics, and consumer behavior trade-offs. She analyzes climate-smart agriculture adoption, sustainable food systems, and environmental impacts through interdisciplinary lenses combining economics, ethics, and social sciences. Key methodologies include contingent valuation and behavioral modeling under asymmetric information. Recent publications (2024-2025) emphasize animal welfare valuation (pig welfare pricing), farmer adoption barriers for climate-smart practices, and organic production challenges. Cross-cutting themes include European supply chain dynamics, Norwegian livestock sustainability, and consumer willingness-to-pay for ethical food attributes. Christensen has taught Masters courses 'Animal in Society' (2011) and 'Animals and Sustainability' (2016), plus Bachelor-level business economics (2015). Her collaborative projects involve Danish and European stakeholders, including a 2020 lecture on animal welfare-climate intersections. She operates within the Section for Consumption, Bioethics and Governance, focusing on ethical food production frameworks and consumer decision architecture in complex risk environments.

• Food Economics
• Environmental Economics
• Consumer Behavior
• +۵ مورد دیگر