Find Academic Supervisors

• Structural microeconometrics
• Urban economics
• Labor economics
• +5 more

Maria Juul Hansen is an Assistant Professor at the Department of Economics within the Faculty of Social Sciences at the University of Copenhagen. Her research integrates structural microeconometrics and computational methods to analyze individual and household decision-making processes in urban environments. Her primary research focuses on structural microeconometrics, urban economics, labor economics, and dynamic programming with specific applications in location choice, spatial economy, household negotiation, commuting patterns, and urbanization dynamics. Recent work examines residential and workplace location decisions through dynamic equilibrium modeling and analyzes urban development impacts on housing markets and welfare. Dr. Hansen actively participates in international academic forums including the Urban Economics Association meetings, Regional Science Association International conferences, and specialized workshops on spatial econometrics and agent-based modeling. Her 2022 publications demonstrate methodological rigor in modeling commuting behaviors and evaluating urban development projects. She serves as an engaged educator in the Computer Science-Economics program and maintains affiliation with the Centre for Computational Economics, where she contributes to advancing computational approaches in economic research.

• Energy Economics
• Electrical Engineering
• Power Systems
• +3 more

Daniel Davi-Arderius is an Associate Researcher at the Institut d’Economia de Barcelona (IEB) and an Affiliate Researcher at the Copenhagen School of Energy Infrastructure (CSEI). With 25 years of experience in the electricity sector, he has held multiple roles in network development, operation, and maintenance at a major Spanish distribution utility. His work focuses on European energy regulation, grid modernization, and demand-side flexibility. Education: Bachelor's degree in Economics (2010, with honors), PhD in Economics (2020). Research interests span energy economics, power systems, and smart grid technologies, particularly in the context of European network codes and cross-border energy collaboration. He contributes to EU initiatives like the Development Team for the new Network Code on Demand Response (with ENTSO-E) and H2020 projects (Smartnet, Coordinet). ACER recognized his expertise by selecting him for its demand-side flexibility expert group. He regularly publishes academic papers, lectures internationally, and reviews energy economics submissions for top journals.

• Software Engineering
• Software Process Improvement
• Teamwork
• +5 more

Paolo Tell is an Associate Professor at IT University of Copenhagen, serving as Section Manager and Software Engineering Research Group Leader. His academic career spans over a decade with continuous research output from 2011 to present, including 42 publications and leadership in multiple research projects. Institution: IT University of Copenhagen Department: Software Engineering Leadership Roles: Section Manager, Research Group Leader Tell's research centers on industry-academia collaborations with specific foci on software processes and process improvement, teamwork dynamics, computer-supported cooperative work, and globally distributed software engineering. His work bridges theoretical frameworks with practical industry applications, particularly examining how teams function in distributed and hybrid work environments. Recent research has expanded into psychological safety in agile teams and the impact of environmental factors on programming performance. Analysis of his publication trends shows increasing focus on human factors in software engineering, with recent work examining hybrid work arrangements, psychological safety, and environmental impacts on programming. His 2023 publications particularly emphasize practical applications of software engineering concepts in real-world settings, including teaching methodologies using live systems and workplace dynamics in contemporary software teams. Tell has been actively involved in research administration and community building through conference leadership roles, having served as General Chair for the ACM/IEEE 15th International Conference on Global Software Engineering (2020) and Program co-chair for the 14th edition (2019). He also chaired the 3rd HELENA Workshop (2018) and organized the 21st International Conference on Agile Software Development (2020). His research has been supported by significant grants including the Innovation Fund Denmark projects "Intelligent project management powered by proprietary machine learning technology" (2018, as PI) and "NexGSD: Next Generation Technology for Global Software Development" (2011-2016, as CoI). These projects focused on practical applications of software engineering research with industry relevance. Tell leads the Software Engineering Research Group at IT University of Copenhagen, fostering collaboration between academia and industry. His leadership extends to faculty recruitment processes, as evidenced by his 2023 role as chair of the assessment committee for an associate professor position in Software Engineering Tools and Methods.

• Robotics
• Swarm Robotics
• Bioinspired Computing
• +6 more

Payam Zahadat is a Lecturer at the IT University of Copenhagen in the Data, Systems, and Robotics department, affiliated with the Robotics, Evolution, and Art Lab and The Maritime Hub Robotics, Evolution and Artificial Life Lab . His research spans robotics, bioinspired computing, and collective decision-making. Research Interests : Swarm robotics and decentralized control Multi-scale feedback systems and distributed manipulation Biohybrid systems combining natural and artificial components Self-organization, self-repair, and adaptive morphogenesis Publication Trends include work on swarm intelligence, dynamic environments, and bioinspired solutions for autonomous systems. Projects involve collaborations like MOZART , FloraRobotica , and MUHMI-MOZART , focusing on embodied sensing, AI, and human-machine interfaces.

• Applied Economics
• Individual Financial Behavior
• Consumption and Saving
• +3 more

Søren Leth-Petersen is a Professor at the Department of Economics, University of Copenhagen , conducting research on savings behavior, consumption, and labor economics. He teaches Applied Econometric Policy Evaluation and supervises projects in applied microeconometrics. Current affiliation: Department of Economics, University of Copenhagen Research areas: Applied Economics, Individual Financial Behavior, Consumption, Labor Supply Research interests focus on consumption and saving patterns, subjective risk assessment, and policy evaluation. Recent work examines inequality aversion, earnings risk perception, and household responses to job loss. His 15 most recent articles span topics like income inequality dynamics, subjective unemployment expectations, and fiscal stimulus effectiveness, with keywords including Economics, Labor Economics, and Policy Analysis. Subfields cover income redistribution, household finance, and behavioral economics. Scientific awards : Economic Policy Research Network Grant (2014) Editorial and committee roles : Review Editor, Scandinavian Journal of Economics (2016-2019) Member, Danish Ministry of Taxation (2013-2014) Organized 2018 Workshop on New Consumption Data Peer review activities for multiple journals since 2008

Oliver BaumannView profile

Professor

• Organization Theory
• Strategic Management
• Innovation Management
• +4 more

Oliver Baumann serves as Professor with special responsibilities at the Department of Business & Management within the Faculty of Business and Social Sciences at the University of Southern Denmark. He concurrently leads the Section Strategic Organization Design (SOD), driving research at the intersection of organizational theory, strategic management, and innovation processes. His research program investigates how organizations develop adaptive capabilities amid technological change and environmental uncertainty. Key contributions examine modular organizational designs, performance feedback systems, and collaborative search mechanisms in complex problem-solving contexts. Recent work increasingly addresses the integration of artificial intelligence and blockchain technologies into organizational structures, with empirical studies spanning platform ecosystems and news industry transformations. His scholarship bridges theoretical organization studies with practical challenges of technological adaptation across multiple sectors. Analysis of his publication trajectory reveals growing emphasis on computational approaches to organizational design, particularly regarding how algorithmic systems interact with human decision-making in dynamic environments. His 2023-2025 work shows heightened focus on AI-mediated collaboration, platform ecosystem dynamics, and adaptation mechanisms in disrupted industries like media and manufacturing. The consistent thread across his scholarship remains understanding how organizations balance exploration and exploitation under varying conditions of complexity. As head of the Strategic Organization Design section, Baumann directs research initiatives that connect with SDU's Digital Democracy Centre through investigations of technology-mediated collaboration and information ecosystem dynamics. His leadership role facilitates cross-disciplinary engagement with societal implications of digital transformation.

Line ClemmensenView profile

Associate Professor

• Machine Learning
• Statistical Learning
• Data Science
• +6 more

Line Clemmensen serves as Associate Professor at DTU Compute (Department of Applied Mathematics and Computer Science), Technical University of Denmark, where she has held faculty positions since 2010. Her interdisciplinary work bridges statistical learning, machine learning, and real-world applications in mental healthcare, biotechnology, and agricultural informatics. Her academic credentials include: Ph.D. in Image Analysis and Computer Graphics from DTU (2010), thesis: "High-dimensional sparse data analysis" M.Sc. in Applied Mathematics from DTU (2006) Exchange studies at Universitat Politecnica de Catalunya, Barcelona (2004) Mathematical graduate from Falkonergården upper secondary school (2000) Clemmensen's research centers on machine learning and statistical learning with emphasis on low-resource modeling, representation learning, and AI evaluation methodologies. She applies these techniques to mental health (developing biosensor-based OCD monitoring systems), biotechnology (spectral data analysis for pharmaceutical quality control), and environmental science (crop health assessment via remote sensing). Her work consistently addresses challenges in data scarcity and model interpretability. Analysis of her recent publications reveals dominant trends in computational psychiatry (e.g., detecting OCD episodes through physiological signals and oxytocin biomarkers) and agricultural AI (linking soil microbiome composition to crop health via machine learning). Methodologically, she pioneers interpretable deep learning frameworks for low-resource settings and robust time-series analysis techniques for physiological data. She has supervised 10 PhD students to completion (including Jacob Søgaard Larsen on NIR management and Gudmundur Einarsson on psychiatric motion quantification) and mentored 13 Master's/Bachelor's students. Current funding includes the LundbeckFonden LF-Experiment grant for the FAST project (Fast Assessment of psychiatric Symptoms to Transform Mental Health Care). Within DTU Compute's Section for Statistics and Data Analysis, Clemmensen leads collaborations with Novo Nordisk (biostatistics), the Danish Meat Industry, and clinical psychiatry teams, focusing on real-world AI deployment in mental healthcare and industrial applications.

• Journalism
• Artificial Intelligence
• Public Interest
• +4 more

Lynge Asbjørn Møller is a dedicated Postdoc researcher at the Digital Democracy Centre within the University of Southern Denmark. His scholarly work critically examines the evolving relationship between journalism and artificial intelligence, with a particular focus on how news organizations integrate algorithmic systems while maintaining core journalistic values and professional identity. Møller's research is highly relevant in the current media landscape where AI-driven tools are rapidly transforming news production and distribution. His research interests span several interconnected domains: Journalism, Artificial Intelligence, Public Interest, Recommender Systems, Normativity, and News Values. Møller investigates how newspapers embed journalistic values into algorithmic editors, the impact of AI on journalists' expertise and decision-making, and the reconciliation of personalized news recommendation with the public interest mandate of journalism. His methodological approach often involves in-depth case studies of newsrooms, providing rich insights into the practical challenges and adaptations occurring at the intersection of technology and editorial work. Examining Møller's publication trajectory from 2022 to 2025 reveals a cohesive research program centered on the human dimensions of AI in journalism. His work consistently addresses how journalists navigate the introduction of generative AI and recommender systems, emphasizing the redefinition of professional expertise and identity. A notable trend is the exploration of normative conflicts between algorithmic efficiency and journalistic ideology, particularly regarding the balance between personalization and public interest. His research also highlights the organizational challenges in bridging the tech-editorial gap within news institutions. No scientific awards or major fellowships are documented in the available sources. There is no information provided regarding graduate student supervision or research grant funding. Møller conducts his research within the Digital Democracy Centre at the University of Southern Denmark, an interdisciplinary research environment that investigates the impact of digital technologies on democratic processes, media ecosystems, and societal participation. The center provides a collaborative space for scholars examining the complex interplay between technology, journalism, and democracy.

Jonas Valbjørn AndersenView profile

Associate Professor

• Data Science
• Machine Learning
• Big Data
• +6 more

Jonas Valbjørn Andersen is an Associate Professor at the IT University of Copenhagen within the Information Systems and Digital Innovation research group. His expertise lies in applying data science and machine learning to solve organizational challenges in healthcare systems, FinTech, and decentralized digital ecosystems. PhD in Information Systems and Management from Warwick Business School Focus areas: Algorithmic Decision Making, Blockchain Governance, and Complex Adaptive Systems His research leverages unstructured data from large registries, system logs, and open data sources, combining systems modeling with natural language processing and network analysis. Recent work emphasizes clinical decision support algorithms and decentralized platform ecosystems. Scientific contributions span blockchain dynamics, FinTech classification, and IoT data business models. Awards include the ECIS Best Research-In-Progress Paper Award (2019) , ECIS Outstanding Associate Editor Award (2022) , and the Warwick Doctoral Research Scholarship (2012) .

Tommy Sonne AlstrømView profile

Associate Professor

• Machine Learning
• Signal Processing
• Nanotechnology
• +3 more

Tommy Sonne Alstrøm is an Associate Professor at the Department of Applied Mathematics and Computer Science, DTU Compute, Danmarks Tekniske Universitet (DTU). His research focuses on machine learning, signal processing, and nanotechnology-based sensor systems. Key research areas include: Explainable AI for time series and spectroscopy Diffusion models for speech enhancement Federated learning optimization Probabilistic modeling of biosignals His recent publications demonstrate expertise in neural network geometry, federated learning privacy, and spectroscopic data analysis. Current work involves self-supervised learning for variable-channel time series and road condition modeling using LiRA-CD dataset. Contact: tsal@dtu.dk

Bjørn Sand JensenView profile

Associate Professor

• Machine Learning
• Cognitive Systems
• Active Learning
• +4 more

Bjørn Sand Jensen is an Associate Professor in the Department of Applied Mathematics and Computer Science (Cognitive Systems section) at the Technical University of Denmark (DTU), with research contributing to UN Sustainable Development Goals through interdisciplinary machine learning applications. His work bridges computer science, engineering, and biomedical domains with 21 publications to date. His research specializes in machine learning methodologies including active learning, preference learning, and Gaussian processes, applied to cognitive systems development. Key focus areas involve modeling cognitive aspects in information processing, predictive performance optimization, and mobile sensor applications. Current projects emphasize real-world implementations in hearing aid technology and biomedical imaging. Recent publications demonstrate a strong trend toward interdisciplinary deep learning integration, combining state-space models (Mamba) for audio processing and Gaussian processes for biomechanical analysis. This reflects his commitment to solving complex problems in neural processing systems and single-cell image reconstruction through novel statistical-computational hybrids. Advising: PhD student K. F. Olsen on "Towards Real-time Neural Processing in Hearing Aids" (2023-2026) Research Projects: Active: "Towards Real-time Neural Processing in Hearing Aids" (2023-2026) Completed: "Active learning in cognitive information processing systems" (2009-2013) Dr. Jensen collaborates across biomedical engineering and signal processing domains, particularly within DTU's Cognitive Systems research group, focusing on neural processing applications for hearing assistance and cognitive information systems development.

• Formal Verification
• Software Engineering
• Cyber-Physical Systems
• +3 more

James Woodcock is a Professor in the Department of Electrical and Computer Engineering at Aarhus University, specializing in Software Engineering and Computing Systems. With over 200 research outputs and 11 completed projects, he focuses on Formal Verification, Cyber-Physical Systems (CPS), and Robotics. His work integrates Digital Twins, Model Checking, and Process Algebra to ensure system reliability. Key research areas: Formal Verification, Robotics, CPS, Digital Twins, Security Engineering Active collaborations: University of York, University of Liverpool, University of Bremen Recent projects include: UK Trustworthy Autonomous Systems Verifiability Node (2020-2024) RoboTest: Model-Based Testing of Autonomous Robots (2018-2023) His 2025 paper on BDI Agent Verification and 2023 State-of-the-Art Report on Verified Computation highlight his leadership in applying Formal Methods to Robotics and Security. Over 2005-2025, he has published extensively in CPS , Formal Verification , and Model-Based Design . Awarded prestigious titles including Chartered Engineer (2011) and Distinguished Researcher (2019), he has served as Editor, PhD Examiner, and Visiting Lecturer globally.

Andreas Brøgger AlbertsenView profile

Associate Professor

• Discrimination
• Healthcare Priority-Setting
• Personal Responsibility
• +3 more

Andreas Brøgger Albertsen is an Associate Professor at Aarhus University's Department of Political Science, affiliated with the Political Theory Section and the Centre for the Experimental-Philosophical Study of Discrimination (CEPDISC). His research spans political philosophy, ethics, and healthcare policy. Luck Egalitarianism Organ Donation Ethics Moral Limits of Markets Discrimination Theory Healthcare Priority-Setting Political Equality His work explores intersections between moral philosophy and practical policy challenges, particularly in healthcare and market ethics. Key projects include analyzing the ethical boundaries of markets in healthcare, fairness in organ allocation, and democratic resilience during crises. Contact: aba@ps.au.dk | Phone: +45 87 16 53 02

• Condensed Matter Physics
• Soft Matter Physics
• Glass Transition
• +3 more

Kristine Niss is a Professor at the Department of Mathematics and Physics (IMFUFA) within the College of Science and Environment at Roskilde University. Her research focuses on condensed matter physics, particularly the dynamics and aging behavior of glass-forming liquids, ionic liquids, and hydrogen-bonded systems. She has extensive experience with experimental techniques such as dielectric spectroscopy, neutron scattering, and rheometry. Key Research Areas: Glass transition, density scaling, physical aging, relaxation processes, and thermodynamic invariance in liquids. Collaborations: Active collaborations with institutions like Institut Laue-Langevin (ILL) and contributions to interdisciplinary projects including the Center for Interdisciplinary Plastic Research and Glass and Time. Recent Work: 2024 publications on density scaling in glycerol-water mixtures and time-scale invariance in ionic liquids, alongside 2022 studies on aging glasses and high-pressure spectroscopy. Media Engagement: Featured in Danish press for research on glass dynamics and thermodynamics of liquids. Email: kniss@ruc.dk

Henriette SelckView profile

Professor

• Aquatic ecology
• Invertebrate biology
• Pollution
• +4 more

Henriette Selck is a Professor at the Department of Science and Environment, Environmental Dynamics, Centre for Frustrated Molecular Interactions at Roskilde University. Her research focuses on aquatic ecology, invertebrate biology, pollution, and environmental risk assessment. 2003: PhD in Marine Deposit-Feeder Toxicology 1996: Master's in Environmental Biology and Geography Research interests include: Hydrophobic contaminants: Bioavailability, risk assessment, and sediment interactions Exposure route dynamics: Uptake, internal fate, and elimination of pollutants Benthic infauna role: Bioturbation effects on contaminant distribution Population-level risk assessment: Bridging individual toxicity effects to ecological impacts Recent publications (2023-2025) emphasize pharmaceutical pollution, microplastic exposure pathways, and copper nanoparticle toxicity. Her work combines field studies with laboratory experiments to improve environmental risk assessment frameworks. 2005: Short listed for CEFIC-LRI Innovative Science Award Professional activities include membership in Danish Universities Committee, NATO Environmental Security Panel contributions, and editorial roles. She supervises environmental biology masters students and teaches ecotoxicology courses.