جست‌وجوی استاد و پژوهشگر

• Network Analysis
• Social Networks
• Data Mining
• +۶ مورد دیگر

Michele Coscia is an Associate Professor in the Department of Data Science at the IT University of Copenhagen. He also serves as the Head of Programme for the BSc in Data Science. His research focuses on network analysis, social networks, data mining, and their applications in understanding human mobility, complex systems, economic development, and memetics. He has contributed to projects such as the Pioneer Centre for Artificial Intelligence and leads initiatives like ROMNET (Past social network reconstruction from material culture data) and Work2Vec (exploring deep learning in healthcare and work hours analysis). His research interests encompass interdisciplinary network science, including misinformation dynamics, ideological polarization, and the impact of social media systems. He has developed methodologies like the generalized Euclidean measure for multilayer networks and explored cultural data analytics through case studies like Italian music history. His work also addresses real-world challenges, such as quantifying the effects of violence on migration patterns and optimizing network sampling strategies for cost efficiency. Michele Coscia has received the Årets Forskningsmiljø 2022 award, recognizing his contributions to fostering outstanding research environments. He actively engages with media, discussing topics like misinformation and data visualization. As a principal investigator, he oversees projects funded by institutions such as the Villum Foundation and Danish National Research Foundation. His research spans academic collaborations across countries, reflecting his global network and commitment to advancing network theory and its applications.

Vittorio Loretoمشاهده پروفایل

استاد

• Statistical Physics of Complex Systems
• Complexity Theory
• Network Theory
• +۴ مورد دیگر

Vittorio Loreto is a Full Professor of Physics of Complex Systems at Sapienza University of Rome and External Faculty at the Complexity Science Hub in Vienna. He leads the Social Dynamics Lab and serves as Director of the SONY Computer Science Laboratories in Rome. His research focuses on statistical physics of complex systems, interdisciplinary applications, and social dynamics. He has authored over 180 publications and chairs conferences. Research Interests: Statistical physics of complex systems Interdisciplinary applications in linguistics and social systems Phylogenetic algorithms and evolutionary dynamics Network theory and information theory His work spans language dynamics, cultural evolution, and mathematical models of creativity. Recent publications analyze naming games, color naming universals, and phylogenetic network structures. He directs teams in Sustainable Cities, Infosphere, and Augmented Creativity at SONY.

Steen Ørndorfمشاهده پروفایل

مدرس پاره‌وقت

• Economics
• Statistics
• Political Philosophy

Steen Ørndorf is a PartTime Lecturer at Aalborg University Business School, affiliated with the Macroeconomic Methodology, Theory and Economic Policy unit under the Faculty of Social Sciences and Humanities. His interdisciplinary work spans: Economic theory and statistical applications Political philosophy (notably Edmund Burke) Educational methodologies in quantitative fields Publications include historical analyses of academic institutions, conservative political theory, and statistical software guides.

Morten Overgaardمشاهده پروفایل

دانشیار

• Biostatistics
• Survival analysis
• Competing Risk
• +۳ مورد دیگر

Morten Overgaard is an Associate Professor in the Department of Biostatistics at the Department of Public Health, Aarhus University. His primary roles include teaching and research, with expertise in biostatistics and survival analysis. He has been active in research since 2014, contributing to over 24 publications focusing on statistical methodologies in healthcare and epidemiology. Research interests include competing risks, probability theory, regression analysis, and variance modeling. His work often addresses clinical and public health challenges through advanced statistical techniques. Overgaard collaborates internationally, particularly in studies involving familial health histories and terminal event analysis. His recent articles (2023–2025) highlight contributions to win ratio estimation, variance modeling in treatment effects, and cataloging familial conditions linked to autism. These studies emphasize methodological rigor and practical applications in medical and public health contexts. Awards and grants are not explicitly listed in the provided text, but his active research output suggests sustained academic engagement. Overgaard’s work is disseminated through high-impact journals like the Scandinavian Journal of Statistics and Lifetime Data Analysis .

Georgios Halkiasمشاهده پروفایل

دانشیار

• Consumer Psychology
• Advertising
• Global Branding
• +۵ مورد دیگر

Georgios Halkias is Associate Professor at Copenhagen Business School's Department of Marketing and Chair of the Consumer Research Cluster. Previously at Technical University of Munich and University of Vienna, he holds dual PhDs from University of Vienna and Athens University of Economics and Business, an MSc from Warwick Business School, and BSc from University of Piraeus. Research interests center on consumer psychology with focus areas including: Consumer schemata and stereotyping mechanisms Social inequality and discrimination in consumption Information processing and decision heuristics Cross-cultural branding and advertising effectiveness Publications demonstrate strong emphasis on experimental methods in international marketing contexts, particularly exploring stereotype formation, gender dynamics in consumption, and cross-cultural consumer behavior. Recent work shows growing focus on societal well-being and ethical consumption patterns. Awards & Honors: 2022 CBS Research Contribution Award 2020 Emerald Literati Outstanding Paper 2019 Emerald Literati Outstanding Reviewer 2017 University of Vienna Teaching Award Multiple EMAC doctoral paper nominations Supervises BSc, MSc and PhD theses in consumer behavior and has secured research funding from European Commission HORIZON programs. Teaches experimental methods, multivariate statistics, and international consumer behavior.

Natalia Khorunzhinaمشاهده پروفایل

دانشیار

• Applied Microeconomics
• Financial Economics
• Labor Economics
• +۴ مورد دیگر

Natalia Khorunzhina is an Associate Professor at Copenhagen Business School's Department of Economics. Her research examines household economic behavior through structural modeling approaches, focusing on consumption patterns, housing choices, and intertemporal decision-making. Research Focus: Primary areas include: Household consumption/savings behavior with habit formation Housing investment decisions correlated with fertility/work choices Risk attitude measurement in consumption models Mortgage design impacts on consumption growth Lifecycle asset allocation between risky/riskless assets Publication Trends: Recent articles focus on housing market dynamics during economic cycles, mortgage reform effects, and wealth inequality patterns. Methodologically, work emphasizes structural econometric modeling of household decisions using mixture approximations for complex density kernels. Earlier publications established foundations in stock market participation costs and microfinance impacts.

Lisbeth La Courمشاهده پروفایل

دانشیار

• Time series econometrics
• Productivity analysis
• Financial econometrics
• +۲ مورد دیگر

Lisbeth La Cour is Associate Professor at Copenhagen Business School's Department of Economics, specializing in applied econometrics. Research applies VAR models, cointegration techniques, and panel data methods to exchange rates, productivity spillovers, and public procurement. Teaches Financial Econometrics in the cand.oecon program. Current research examines: Economic modeling of historical trade data Single-bidder public procurement patterns Treatment effect measurement in economic systems

Karol Szwagrzakمشاهده پروفایل

دانشیار

• Microeconomics
• Mechanism Design
• Resource Allocation
• +۴ مورد دیگر

Karol Szwagrzak is an Associate Professor in the Department of Economics at Copenhagen Business School (CBS). His research focuses on Microeconomics, Mechanism Design, and Resource Allocation, with particular emphasis on strategy-proof mechanisms, fair division, and networked economies. He has published extensively in top journals such as Economics Letters , Management Science , and Social Choice and Welfare . Key research areas include bankruptcy problems, priority rules, team productivity measurement, and axiomatic analysis of allocation rules. His work bridges theoretical economics with practical applications in policy and institutional design. Notable contributions include analyzing how individuals claim resources strategically and designing mechanisms to allocate resources under network constraints. Recent publications (2021–2025) explore topics like sample evidence weighting, teamwork productivity, and proportional allocation rules. His research often combines game theory with empirical analysis to address fairness and efficiency challenges. No scientific awards are explicitly listed, though his work is widely cited in academic circles. No formal advising or grant details are provided in the text. His professional activities are centered at CBS, with no reported external affiliations. The department’s focus on economics aligns with his research in mechanism design and resource allocation, reflecting CBS’s emphasis on business-related economic analysis.

• Demography
• Population Studies
• Lifespan Inequalities
• +۵ مورد دیگر

Dr. José Manuel Aburto is a researcher at the Interdisciplinary Centre on Population Dynamics (CPop) within the Faculty of Business and Social Sciences at the University of Southern Denmark . His work focuses on demography, lifespan inequality, mortality modeling, and population health dynamics. PhD-level publications on epidemiological modeling, gender longevity disparities, and pandemic mortality impacts Key contributions to lifespan variation research and COVID-19 mortality analysis Recipient of the European Demographer Award for lifespan inequality studies His research combines formal demography with public health perspectives, analyzing historical mortality data, evaluating forecasting models like Lee-Carter, and exploring intergenerational health patterns. He has collaborated on projects examining paternal drug effects, pension policy reforms, and pandemic-related life expectancy changes.

• Demography
• Population Studies
• Public Health
• +۶ مورد دیگر

José Manuel Aburto is a Researcher at the Interdisciplinary Centre on Population Dynamics (CPop) within the Faculty of Social Sciences at the University of Southern Denmark. He specializes in lifespan inequalities, mortality patterns, and the demographic impacts of pandemics. His work bridges epidemiology, biodemography, and public health, focusing on topics like sex differences in longevity, pandemic-related mortality, and conservation demography. Aburto’s research has been published in high-impact journals, including the Journal of Epidemiology and Community Health and PLOS ONE . Notably, he received the European Demographer Award (2021) for his contributions to lifespan inequality studies. His current projects include analyzing how violent environments affect life predictability and evaluating the accuracy of mortality forecasting models like the Lee-Carter model. He collaborates with international teams on initiatives such as the AXA Chair in Longevity Research and contributes to policy discussions on pension age indexation and intergenerational justice. His lab, part of CPop, emphasizes interdisciplinary approaches to population dynamics, combining demographic data with health, environmental, and socioeconomic factors.

• Operations Research
• Logistics Optimization
• Heuristic Algorithms
• +۳ مورد دیگر

Associate Professor Dario Pacino is affiliated with the Technical University of Denmark (DTU), specifically within the Department of Technology, Management and Economics under the Operations Research Section. His research focuses on optimization challenges in logistics and transportation systems, including container stowage planning, berth allocation, and the application of AI techniques like reinforcement learning. He holds a position at DTU's Management Science Division and is based in Lyngby, Denmark. His work emphasizes heuristic and metaheuristic algorithms for solving complex logistics problems. Notable areas include Roll-on/Roll-off (RoRo) ship stowage planning, dynamic berth allocation, and discrete event simulation for healthcare logistics. He has contributed to mathematical models addressing draft limits in shipping and stochastic fleet optimization for urban mobility. Publications from 2022 onward highlight advancements in reinforcement learning integration with traditional operations research methods, demonstrating a trend toward AI-driven logistics solutions. His work bridges theoretical optimization with practical applications in maritime and healthcare sectors. No scientific awards are explicitly listed in the provided text. His advising and grants sections remain unspecified, though his research collaborations are evident through multi-institutional projects. He is part of the Operations Research Section's research team, focusing on decision support systems and optimization under uncertainty.

Bo Friis Nielsenمشاهده پروفایل

استاد

• Queueing Theory
• Matrix Analytic Methods
• Stochastic Processes
• +۳ مورد دیگر

Bo Friis Nielsen is a Professor and Head of Section in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on queueing theory, particularly matrix-analytic methods, with applications in telecommunication systems and service optimization. He currently supervises PhD students working on projects with Danske Bank (call center efficiency) and DSB S-tog (passenger counting for transport planning). His teaching includes probability theory and stochastic simulation. Education/Background: Formal academic qualifications not explicitly listed in the text. Affiliations: Head of the Mathematical Modelling Section since 2003, affiliated with DTU Compute. Research interests span theoretical advancements in queueing models and practical applications in transportation, healthcare, and industrial systems. He has collaborated with companies like Danske Bank and DSB S-tog, addressing real-world operational challenges. Recent work includes predictive maintenance strategies for multi-component systems and railway defect analysis. Publications emphasize stochastic modeling, maintenance optimization, and transportation analytics. Projects involve developing tools for public transport efficiency and reliability engineering in wind turbines and power plants.

Varvara Zaniaمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Soil-Structure Interaction
• Geotechnical Earthquake Engineering
• +۵ مورد دیگر

Varvara Zania is an Associate Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU). Her research focuses on geotechnical engineering, soil-structure interaction, and seismic analysis, with contributions to sustainable infrastructure and soil improvement technologies. **Education**: PhD in Mechanics (2009), Technical University of Crete MSc in Underground Constructions (2004), National Technical University of Athens Civil Engineering Diploma (2003), National Technical University of Athens **Research Interests**: Dynamic soil-structure interaction Seismic stability of geotechnical systems Physical modeling and centrifuge testing Geosynthetics and soil improvement techniques Probabilistic geotechnical analysis **Recent Research Trends**: Her work emphasizes sustainable infrastructure solutions, probabilistic site characterization, and advanced numerical modeling. Key areas include deep excavations, offshore wind turbine foundations, and geotechnical responses under extreme loading. **Advising & Projects**: Supervises PhD students on topics like deep excavation behavior, rammed earth materials, and soil parameter uncertainty. Leads projects funded by DTU and industry partners, focusing on sustainable geotechnical design and infrastructure resilience. **Labs/Teams**: Engaged in multidisciplinary teams at DTU, collaborating on projects involving geotechnical testing, numerical simulations, and field applications.

Roland Löweمشاهده پروفایل

دانشیار

• Machine Learning for Environmental Applications
• Urban Water Management
• Flood Risk Assessment
• +۳ مورد دیگر

Roland Löwe is an Associate Professor and Head of the Water Systems Section at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU). He specializes in applying machine learning and statistical methods to water resource management, flood risk assessment, and urban development modeling. His work contributes to UN Sustainable Development Goals related to climate action and sustainable cities. Education includes a PhD in Probabilistic Forecasting for Urban Drainage Systems (DTU Compute, 2014) and a Diploma in Hydrology from Dresden Technical University (2008). Prior roles include Postdoc at DTU, Project Engineer at Krüger A/S, and Hydrologist at the Institute for Technical and Scientific Hydrology (itwh). Key research areas focus on surrogate models for water systems, flood risk mitigation under climate change, and participatory urban planning. Notable projects include CLACOS (scientific machine learning for urban drainage), Jammerbugt Municipality flood prediction using remote sensing, and the Water Smart Cities initiative for resilient urban infrastructure. He supervises PhD students in topics like coastal protection under sea-level rise, real-time sewer control systems, and non-tangible benefits of nature-based solutions. His work has been featured in media discussions on Danish coastal protection policies and climate adaptation strategies.

Mette Møllerمشاهده پروفایل

پژوهشگر

• Transportation Science
• Traffic Safety
• Cycling Behavior
• +۳ مورد دیگر

Mette Møller is a Senior Researcher at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). Her work focuses on transportation safety, cyclist behavior, youth driving, and road user attitudes. She leads and collaborates on projects addressing topics such as cognitive distraction in cyclists, safety implications of e-bikes, and the impact of accompanied driving laws. Her research integrates multi-disciplinary approaches, combining data analysis with qualitative studies to inform policy. Notable projects include the ESRA E-Survey analyzing road user attitudes across 19 countries and the RESCUE initiative using federated learning to study cyclist behavior. With a 3M Travelscholarship (2012), she has published over 300 peer-reviewed works. Her activities span academic leadership, conference presentations, and media engagement on traffic safety issues. She advises PhD students like F. Siar and collaborates internationally on transport-related challenges. Møller’s work contributes to UN Sustainable Development Goals, particularly addressing safe mobility and sustainable cities. Her team explores behavioral, technological, and infrastructural interventions to reduce traffic risks, emphasizing evidence-based solutions.