جستجوی استاد راهنمای دانشگاهی

Anne Jamisonمشاهده پروفایل

استاد مدعو

• International Political Economy
• International Business
• Political Risk
• +۳ مورد دیگر

Anne Jamison serves as a Tenure track adjunct faculty in the Department of International Economics, Government and Business at Copenhagen Business School. Her research aligns with UN Sustainable Development Goals, particularly SDG 16 (Peace, Justice and Strong Institutions). Her primary research areas include: International Political Economy Political Risk and Sovereign Credit Populism and Ideational Systems Foreign Direct Investment and Indigenous Communities Energy Projects and Violent Conflict in Fragile States Recent publications (2024-2025) reveal a focus on integrating high-frequency political, environmental, social, and governance (ESG) data to model sovereign credit risk, and examining cross-national variation in populist support through demand-side explanations. She investigates how World Bank-funded infrastructure projects correlate with violent conflict in fragile contexts, advocating for systemic reform in international development finance. Dr. Jamison has supervised three research projects and engaged with global media to disseminate findings on corporate accountability in conflict zones, emphasizing practical policy implications for multilateral institutions.

Nicholas Diasمشاهده پروفایل

پژوهشگر

• Political Science
• Public Opinion
• Political Psychology
• +۴ مورد دیگر

Nicholas Dias is a postdoctoral researcher at the Department of Political Science, Aarhus University. His work focuses on public opinion, political psychology, and the dynamics of democratic systems. Research examines citizen competence, polarization, and misinformation Teaching includes seminars on American politics and data science Contact: niccdias@ps.au.dk Research Trends: Dias’s publications analyze how citizens engage with democracy, polarization’s impact on governance, and misinformation mitigation. His work challenges assumptions about voter rationality and explores the limits of correcting partisan misperceptions. Collaborations: Co-authored studies with scholars like Y. Lelkes and A. Sippitt, published in journals such as Journal of Politics , PNAS Nexus , and Political Quarterly .

Mikkel N. Schmidtمشاهده پروفایل

دانشیار

• Statistical Modeling
• Machine Learning
• Bayesian Methods
• +۳ مورد دیگر

Mikkel N. Schmidt is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on statistical modeling, Bayesian methods, and their applications in science and industry. He has held visiting roles at Columbia University (2007) and Cambridge University (2008-2009). His work integrates probabilistic modeling with computational inference to address complex problems in diverse fields such as molecular discovery, optical communication, and brain connectivity analysis. Education highlights include visiting scholar and postdoctoral experiences at top-tier institutions. Research interests span statistical methodology development, machine learning applications, and interdisciplinary problem-solving. Current projects involve Bayesian neural networks for molecular discovery and federated learning optimization. Advising efforts include supervising multiple PhD students in areas like molecular discovery and denoising diffusion models. Notable collaborations involve work on materials science, quantum communication, and medical signal processing. His contributions bridge theoretical advancements with practical industrial applications, emphasizing interdisciplinary innovation.

Jesper Rangvidمشاهده پروفایل

استاد

• Financial markets and the macroeconomy
• International finance
• Financial crises
• +۲ مورد دیگر

Jesper Rangvid is a Professor of Finance and Director of the Pension Research Centre (PeRCent) at Copenhagen Business School (CBS), where he also serves as Associate Dean of the Executive MBA program . His research focuses on financial markets, macroeconomics, financial crises, household finance, and mutual funds. He has authored influential works such as How Low Interest Rates Change the World (Oxford University Press, 2025) and From Main Street to Wall Street (Oxford University Press, 2021), exploring topics like interest rate trends, economic growth, and policy impacts. He chairs the Council for Return Expectations and holds board positions at Formuepleje, Advantage Investment Partners, and Finansiel Stabilitet, among others. His advisory roles include Levring & Levring and projects for Danish institutions like Forenet Kredit and BankInvest. Recent research highlights include analyzing Denmark’s pension system reforms, fiscal-monetary policy interactions, and the implications of low interest rates on global economies. Rangvid’s publications combine rigorous academic analysis with policy relevance, addressing topics like dividend predictability, economic growth’s impact on asset returns, and the behavior of professional investors. His work often bridges theoretical frameworks with empirical data, offering insights into macro-financial linkages and policy design.

Kunihiko Kanekoمشاهده پروفایل

استاد

• Theoretical Biophysics
• Complex Systems
• Chaos
• +۶ مورد دیگر

Kunihiko Kaneko is a Professor at the Niels Bohr Institute, University of Copenhagen, with a distinguished career in theoretical biophysics and complex systems. He received his PhD and MSc in Physics from the University of Tokyo, and has held leadership roles at the Universal Biology Institute and Center for Complex Systems Biology. PhD Physics, 1984 - University of Tokyo MSc Physics, 1981 - University of Tokyo His research spans five primary areas: Universal Biology, Evolutionary Constraints, Ecosystem Dynamics, Neural Cognition, and Universal Anthropology. He has published extensively on multi-level consistency principles, dimensional reduction in biological systems, and reciprocity between robustness and plasticity across scales. Recent publications show strong focus on microbial ecosystems (2025), evolutionary game theory (2025), neural modular architectures (2024), and dimensional reduction in cellular systems (2024). His work bridges physics and biology through dynamical systems theory applied to diverse phenomena from protocells to human societies.

• Applied Probability Theory
• Financial Mathematics
• Insurance Mathematics
• +۳ 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.

Thorsten Schoormannمشاهده پروفایل

دانشیار

• Digital Sustainability
• Circular Economy
• Data Ecosystems
• +۳ مورد دیگر

Thorsten Schoormann is an Associate Professor at Roskilde University's Department of People and Technology, specializing in Sustainable Digitalization. He holds a PhD in Information Systems from the University of Hildesheim (2019), along with MSc (2015) and BSc (2014) degrees in the same field. His research focuses on digital sustainability, circular economy, AI applications, and data ecosystems. He also held an Assistant Professorship at the Technical University of Braunschweig (2023–2025) and was a PostDoc at the University of Hildesheim (2020–2023). Research Interests: Digital transformation, sustainable business models, design science, and AI ethics. Awards: Multiple Best Associate Editor Awards (ECIS 2023/2024), Best Reviewer Award (PACIS 2022), and Best Paper in ICIS Track (2021). Activities: Organized conferences like INFORMATIK 2025 and Hawaii International Conference on System Sciences 2026; editorial roles in journals like European Journal of Information Systems . His work spans theoretical advancements in design science and practical implementations of sustainable technologies, with a focus on unlearning systems, data spaces, and AI-driven sustainability solutions.

Anna Mathia Klawonnمشاهده پروفایل

دانشیار

• Neuroscience
• Neuroimmunology
• Affective Disorders
• +۶ مورد دیگر

Anna Mathia Klawonn is an Associate Professor affiliated with three units at Aarhus University: the Danish Research Institute of Translational Neuroscience (DANDRITE), the Department of Biomedicine, and the Department of Molecular Biology and Genetics - Neurobiology. As a group leader at DANDRITE, she explores neural circuits and immune-to-brain signaling mechanisms regulating affective states through transgenic strategies and neurocircuitry techniques. Neuroscience Neuroimmunology Immune-to-Brain Signaling Affective Disorders Her research focuses on understanding how brain circuits and glial cells (microglia and astrocytes) contribute to affective states in both health and disease. Current projects investigate mechanisms in major depressive disorder and Parkinson's disease, emphasizing prostaglandin signaling, nicotinic receptor function, and striatal neuron modulation. Recent publications highlight her work in molecular neuroscience, neuropharmacology, and behavioral neuroscience. Key themes include cholinergic transmission in motivation, neuroimmune interactions in aversion, and reward/aversion circuitry. Her studies employ advanced neurocircuitry methods and transgenic models. In teaching, Klawonn is course responsible for the 3rd-semester Neuroscience course (10 ECTS) in the medical bachelor program. She actively engages in didactic development, frequently speaking about student motivation, flipped learning, and challenge-based learning. Klawonn leads the Klawonn Group at DANDRITE, with lab and office spaces in the Skou Building (Høegh-Guldbergs Gade 10, Aarhus C). Her work involves collaborations across neuroscience, neuroimmunology, and affective disease research.

• Data Mining & Machine Learning
• Network Science & Complex Systems
• Artificial Intelligence & Society
• +۲ مورد دیگر

Tina Eliassi-Rad is Professor and the Inaugural Joseph E. Aoun Chair at Khoury College of Computer Sciences, Northeastern University in Boston. She serves as Core Faculty at the Network Science Institute and holds External Faculty positions at both the Santa Fe Institute and Vermont Complex Systems Institute. Additionally, she maintains Affiliated Faculty status across six Northeastern University institutes including the NULab for Digital Humanities and Computational Social Science, Global Resilience Institute, Cybersecurity and Privacy Institute, Institute for Experiential AI, and Internet Democracy Initiative. Her research spans: Data Mining & Machine Learning Network Science & Complex Systems Artificial Intelligence & Society She leads two major research initiatives: Trustworthy Network Science , which addresses explainability, transparency, stability, and robustness in network science ML algorithms; and Just Machine Learning , which examines broader complex systems where ML operates to understand and mitigate risks. Her work bridges theoretical foundations with societal applications. Dr. Eliassi-Rad's publication record demonstrates consistent focus on applying network science to critical societal challenges. Her recent research examines pandemic mobility patterns and cybersecurity threats using network-based approaches that combine epidemiological modeling with network analysis techniques. She actively mentors doctoral students through her RADLAB research group, currently advising PhD candidates Wan He (Network Science) and David Liu (Computer Science), along with PhD students Zohair Shafi and Samantha Dies (Computer Science). Her research has secured funding from prestigious organizations including the National Science Foundation, Department of Defense, Defense Advanced Research Projects Agency, Army Research Lab, and others. As leader of RADLAB, she directs research at the intersection of data science, network analysis, and societal impact, with particular emphasis on ensuring that technical advances in AI and network science serve societal needs responsibly and equitably.

Sara Greenمشاهده پروفایل

دانشیار

• Philosophy of Science
• Precision Medicine
• Consumer Medicine
• +۴ مورد دیگر

Sara Green is an Associate Professor at the Department of Science Education, University of Copenhagen, specializing in the Section for History and Philosophy of Science . Her work bridges philosophy, biology, and biomedical ethics, focusing on the epistemic and social implications of datafication in healthcare and the ethical challenges of precision medicine and consumer health technologies. Green holds a PhD in Science Studies from Aarhus University and was a postdoctoral fellow at the University of Pittsburgh’s Center for Philosophy of Science. She leads the PROMISE and COPE projects and contributes to EU-funded initiatives like DataSpace , TRANSCEND , and REDESIGN . Research Themes: Philosophy of precision medicine and data-driven healthcare Ethics of patient-derived organoids and organ-on-chip technologies Epistemic standards in consumer medicine Interdisciplinary integration in systems biology Article Trends: Recent publications explore organoid ethics , datafication in medicine , and philosophical frameworks for emerging health technologies . Key sub-fields include biobanking, cross-border data governance, and temporal dimensions of personalized medicine. Scientific Recognition: DFF Research Project 1 (2020) Semper Ardens Accellerate Grant (2023) Silver Medal, Royal Danish Society of Science and Letters (2024) Werner Callebaut Prize (2015) EU SwafS-Horizon stipend (2020) Teaching & Supervision: She teaches philosophy of science to students in biology, chemistry, and sports science, supervising projects on philosophy of biology and medicine and co-supervising science communication research. Collaborative Networks: Green collaborates across Denmark, the EU, and the U.S., particularly on cross-border health data infrastructure and reduction of animal models through organoid technologies.

Yukiko Gotohمشاهده پروفایل

استاد

• Neural Development
• Neural Stem/Progenitor Cells
• Epigenetics
• +۷ مورد دیگر

Yukiko Gotoh is a Professor at the Department of Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, The University of Tokyo. She serves as the Deputy Director and Principal Investigator at the International Research Center for Neurointelligence (IRCN). Her research focuses on understanding the mechanisms that regulate neural stem/progenitor cell fate during embryonic brain development and in the adult brain. Dr. Gotoh's research interests include: Genetic and epigenetic regulation of neural stem/progenitor cell fate Neuronal maturation processes Genesis and maintenance of adult neural stem cells Relevance of neural stem/progenitor cell dysregulation in neurodevelopmental disorders such as autism spectrum disorders Investigation of mechanisms regulating neural stem-progenitor cell fate during neocortical development Genetic and epigenetic regulation of neuronal activation Analysis of Dr. Gotoh's recent publications reveals a strong focus on neural stem cell biology, epigenetic regulation, and neurodevelopmental disorders. Her work demonstrates how chromatin modifiers like Polycomb group proteins and HMGA proteins regulate neural stem cell fate decisions during brain development. A significant portion of her research explores the embryonic origins of adult neural stem cells and how dysregulation of these processes contributes to conditions like autism spectrum disorders and schizophrenia. Her laboratory also investigates the basic mechanisms of cellular responses to viral infection in the brain and their relevance to neurodevelopmental disorders. Dr. Gotoh has made significant contributions to understanding: The role of Polycomb group proteins in neural development How chromatin modifiers regulate neurogenic potential Cell cycle regulation in neural stem cells The PDK1-Akt pathway in neuronal migration Layer-specific heterogeneity of astrocytes Mechanisms underlying schizophrenia-related abnormalities Dr. Gotoh's laboratory conducts research on multiple fronts related to neural development and stem cell biology. Her team investigates: Mechanisms regulating neural stem-progenitor cell fate during neocortical development Genetic and epigenetic regulation of neuronal activation The embryonic origin of adult neural stem cells Dysregulation of neural stem-progenitor cell and neuronal fate in neurodevelopmental disorders Innate immune responses in the brain

Christian Geisler Asmussenمشاهده پروفایل

استاد

• Organization and Expansion of Multinational Firms
• Internalization Theory
• Game Theory
• +۳ مورد دیگر

Christian Geisler Asmussen serves as Professor of Strategic and International Management at Copenhagen Business School's Department of Strategy and Innovation. His research investigates competitive advantage, globalization, and multinational enterprise organization through formal modeling, game theory, and theories of the firm, with current emphasis on foreign location choices and global corporate social responsibility. Appointed after earning his PhD from CBS in 2007, he maintains active contributions to international business scholarship and executive education. His research portfolio centers on: Organization and Expansion of Multinational Firms Internalization Theory Game Theory applications Corporate Social Responsibility frameworks Foreign location decision-making Global CSR implementation challenges Analysis of his recent publications reveals a strategic evolution toward integrating sustainability into multinational operations, with 2024-2025 works examining global cities' role in reducing liability of foreignness, modular value chain design, and CSR orchestration mechanisms. His scholarship consistently applies game-theoretic approaches to multinational strategy while addressing emerging challenges in global governance and ethical operations. Recognition for his scholarly impact includes: Barry M. Richman best dissertation award Haynes Prize Tietgen Prize JIBS Decade Award Professor Asmussen supervises Cand.Merc. Master Theses and CEMS Business Projects while teaching Strategy, Contemporary Issues in International Business, Macroeconomics, and PhD-level Strategic Management. His external engagements include providing Strategic Risk Management training for Saxo Bank (2024) and serving as external accreditor for Cyprus' Higher Education Quality Assurance Agency (2024-2025).

Quentin Gaussetمشاهده پروفایل

دانشیار

• Environmental Anthropology
• Natural Resource Management
• Development Studies
• +۱۴ مورد دیگر

Quentin Gausset is an Associate Professor in the Department of Anthropology at the University of Copenhagen, Faculty of Social Sciences. His work bridges environmental anthropology, development studies, and climate action, with extensive fieldwork across West, Southern, and East Africa, as well as Southeast Asia and Denmark. He leads the SAMSKAB research project focused on green transitions and community-driven sustainability. His research interests include environmental anthropology, natural resource management, development, HIV/AIDS, ethnicity, autochthony, indigeneity, kinship, religion, and interdisciplinary field methods. He is a member of the Anthropological Research Group on Nature, Environment and Climate (NEC), reflecting his deep engagement with ecological and societal transformations. The recent scholarly output of Quentin Gausset demonstrates a strong shift toward climate action, citizen-driven environmental initiatives, and sustainable community models, particularly in Denmark. His publications analyze eco-villages, carbon footprinting, and collective behavioral change, emphasizing the cultural and social dimensions of the green transition. This reflects a broader interdisciplinary trend in his work, linking anthropological insight with sustainability science and policy. While no formal scientific awards are listed in the provided material, his editorial leadership in key books on climate mitigation and green transitions underscores his influence in the field. His collaboration with institutions such as Gulu University and participation in research networks highlight his international academic engagement. Quentin Gausset has advised or collaborated on numerous research initiatives and projects, including the Citizen Driven Environmental Action (CIDEA) project and initiatives on natural resource management in Africa. He has contributed to interdisciplinary teaching and capacity-building programs in Southeast Asia and southern Africa, demonstrating a commitment to collaborative and applied research. He is actively involved in the Anthropological Research Group on Nature, Environment and Climate (NEC) at the University of Copenhagen, which serves as a hub for interdisciplinary research on environmental change, sustainability, and community governance. His work often involves collaborative networks across Denmark and internationally, particularly in Africa and Southeast Asia.

Claudia Wagnerمشاهده پروفایل

استاد

• Computational Social Science
• Algorithmic Fairness
• Digital Behavioral Data
• +۷ مورد دیگر

Claudia Wagner is a full professor for Applied Computational Social Sciences at RWTH Aachen University and the Scientific Director of the Computational Social Science department at GESIS—Leibniz Institute for the Social Sciences. She is also an External Faculty member at the Complexity Science Hub Vienna. Her work bridges computer science and the social sciences to study algorithmic systems and their societal impacts. Her research focuses on socio-technical phenomena such as inequality, sexism, and perception bias in algorithmically infused societies. She investigates methodological challenges in using digital behavioral data to study human behavior, attitudes, and group dynamics. Her interests span computational social science, algorithmic fairness, network science, and AI ethics. The analysis of her recent publications reveals a strong emphasis on bias, fairness, and methodological rigor in digital data analysis. Her work spans AI psychometrics, gender inequality in online platforms, and validation frameworks for digital traces. She frequently publishes in top-tier venues such as Nature , Science , and AAAI conferences. DOC-fFORTE fellowship from the Austrian Academy of Sciences Four best paper awards at international conferences (ICWSM, CSCW, WWW, AAAI) Associate Editor, EPJ Data Science Steering Committee Member, International AAAI Conference on Web and Social Media Board Member, International Society for Computational Social Science Claudia Wagner has led and co-led substantial research projects funded by national and international agencies. She mentors a diverse group of PhD students working on topics like algorithmic bias, data quality, and dehumanization. She has organized training events such as the CSS Methods Summer School and delivered keynotes globally on inequality and computational social science. She leads the Computational Social Science department at GESIS and collaborates with interdisciplinary teams at RWTH Aachen and the Complexity Science Hub. Her group develops tools for measuring algorithmic impacts and visualizing disparities in socio-technical systems, such as the 'Planets of Disparity' dashboard.

Francisco Camara Pereiraمشاهده پروفایل

استاد

• Intelligent Transportation Systems
• Machine Learning
• Active Learning
• +۳ مورد دیگر

Francisco Camara Pereira is a Professor and Head of Section at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on Intelligent Transportation Systems, Machine Learning, and Data-Driven Decision-Making in transportation contexts. He actively contributes to advancing transportation science through interdisciplinary approaches combining simulation, optimization, and AI techniques. His work addresses challenges in public transport analysis, charging infrastructure planning, and multimodal demand prediction. Recent projects include developing graph-based optimization methods for electric vehicle networks and causal discovery frameworks for transportation systems. He supervises multiple PhD students in areas like federated learning for cyclist safety, causal graph neural networks, and socially aware AI models. Key contributions include publications on smart card data analysis for travel surveys, stochastic infrastructure expansion models, and transfer learning for bike-share systems. His research aligns with UN Sustainable Development Goals related to sustainable cities and innovation. Dr. Pereira collaborates internationally on transportation policy and infrastructure projects. His lab focuses on translating theoretical advancements into practical solutions for urban mobility challenges.