جستجوی استاد راهنمای دانشگاهی

Chenjuan Guoمشاهده پروفایل

دانشیار

• Machine Learning
• Data Engineering
• Spatio-temporal Data Analysis
• +۴ مورد دیگر

Chenjuan Guo is an Associate Professor at the Department of Computer Science, Aalborg University, within The Technical Faculty of IT and Design. She is affiliated with the Data Engineering, Science and Systems group and the AI for the People initiative, and is part of the Daisy - Center for Data-intensive Systems. Her research focuses on machine learning, data engineering, spatio-temporal data analysis, and time series forecasting. Key projects include the Villum Foundation-funded 'Explainable AI for Complex Microbial Community Interactions and Predictions' (2021-2024) and the Astra project on time series analytics in spatial networks (2018-2021). Her research interests span representation learning, autoencoders, path representation, outlier detection, trajectory data analysis, and time series modeling. She has supervised 3 PhD students and contributed to over 60 publications, with a recent emphasis on transformer-based forecasting, neural architecture search, and continuous learning frameworks for spatio-temporal data. Her work bridges theoretical advancements with practical applications in environmental science, cloud computing, and urban mobility systems. Key achievements include developing frameworks like AutoCTS++ for automated time series forecasting and LightGTS for lightweight models. She actively collaborates internationally, contributing to conferences like ECML PKDD and CVPR. Her research is supported by grants from the Villum Foundation and other institutions.

Haley Kujawaمشاهده پروفایل

پژوهشگر

• Environmental Modeling
• Water Quality Management
• Climate Change Impacts
• +۴ مورد دیگر

Haley Kujawa is a Postdoctoral Researcher at the Department of Biology, University of Southern Denmark (SDU). She is affiliated with the Aqua-NbS research center, focusing on environmental modeling to address water quality and carbon storage challenges under climate change. Her work emphasizes stakeholder engagement to ensure model results are practically applicable for policy and decision-making. Her research employs tools like the Soil and Water Assessment Tool (SWAT) to quantify nutrient runoff from agricultural landscapes and design management strategies. She has collaborated with governmental organizations, NGOs, and landowners to enhance model relevance. Current projects involve developing locally adaptable environmental models to evaluate aquatic nature-based solutions (NbS) across climate scenarios. Key research areas include watershed modeling, climate adaptation strategies, and interdisciplinary approaches to integrate models into policy frameworks. Her publications span hydrology, environmental management, and uncertainty analysis in climate-sensitive systems. Dr. Kujawa’s work bridges scientific rigor and real-world application, aiming to provide actionable insights for sustainable land and water management. She contributes to the Aqua-NbS center’s interdisciplinary efforts to create land-management scenarios tailored for policy contexts.

Rasmus Waagepetersenمشاهده پروفایل

استاد

• Spatial Statistics
• Quantitative Genetics
• Markov Chain Monte Carlo Methods
• +۳ مورد دیگر

Rasmus Waagepetersen is a Professor in the Department of Mathematical Sciences at Aalborg University, affiliated with The Faculty of Engineering and Science. His research focuses on spatial statistics, quantitative genetics, and statistical methodology for spatial point processes. He leads and participates in interdisciplinary projects such as urbanLab (spatial data analysis for urban planning) and studies on microbiome interactions in agricultural systems. Key research areas include spatial point processes, Markov chain Monte Carlo methods, and statistical inference for complex ecological and biomedical data. His work frequently involves collaborations with environmental and biological scientists, as seen in projects analyzing root microbiota assemblies in legumes and climate data for building simulations. Waagepetersen has contributed to methodological advancements in spatial statistics, including goodness-of-fit tests, likelihood-based inference for log Gaussian Cox processes, and quasi-likelihood approaches for case-control point pattern data. His research has been supported by grants from institutions like the Villum Foundation. Key Projects: urbanLab, Klimadata til fugtsimuleringer, Nod factor signaling in plant microbiota. Grants: Multiple projects funded by the Villum Foundation and Danish research councils. His recent publications address topics such as space-time point processes, microbiome data analysis, and statistical modeling in education. Waagepetersen maintains an active research group and collaborates internationally on both theoretical and applied statistical problems.

Tom Kirchmaierمشاهده پروفایل

استاد

• Law and Economics
• Policing and Crime
• Banks and Money Laundering
• +۳ مورد دیگر

Tom Kirchmaier is Professor of Governance, Risk, Regulation and Compliance at Copenhagen Business School's (CBS) Department of Accounting and Centre for Corporate Governance. He concurrently serves as a Professorial Fellow and Director of Policing and Crime at the London School of Economics' Centre for Economic Performance. He is also a Faculty Affiliate at LSE's Data Science Institute and member of the UK Home Office Scientific Advisory Council. Research Interests: Kirchmaier's work empirically analyzes organizational governance using large datasets. Primary domains include: Law/economics intersections Policing systems and crime patterns Anti-money laundering (AML) and organised crime networks Corporate boards with emphasis on gender dynamics Risk management and compliance frameworks Publication Trends: Recent articles (2021-2025) demonstrate strong focus on empirical crime analysis (e.g., terrorism impacts, domestic abuse recidivism) and corporate governance in banking. Methodologies leverage big data to study spatial crime patterns, behavioral economics, and organizational efficiency across financial and public sectors. Awards: 2024 LSE Innovation Challenge Winner Teaching & Advising: Supervises 1 PhD and 1 Master's student. Teaches graduate/executive courses: Corporate governance and finance MBA compliance/risk management Board training programs

Lise Justesenمشاهده پروفایل

دانشیار

• Digitalization
• Invisible Work
• Artificial Intelligence
• +۴ مورد دیگر

Lise Justesen is an Associate Professor at the Department of Organization, Copenhagen Business School . She holds a PhD from CBS and a Master's in Philosophy from the University of Copenhagen. Her research focuses on digitalization , invisible work , and the interplay between accounting and organizing , grounded in Actor-Network Theory and qualitative methods . Co-author of Digitalization and Invisible Work (2025), a critical examination of unforeseen consequences of AI implementation in public sector organizations Supervisor for PhD candidates across CBS departments and the Vienna University of Economics Collaborator with Ursula Plesner on Visibility Management and Digitalization in Public Sector projects Their work reveals recurring themes: digitalization's hidden labor demands , algorithmic accountability challenges , and managerial adaptation to AI systems . They analyze these through ethnographic studies of public sector transformations and critical assessments of predictive algorithms in governance. Justesen's scientific contributions examine how digital systems create new accountability frameworks and redefine professional roles . Their research demonstrates that digitalization produces unanticipated labor patterns , reconfigures human-machine relationships , and generates complex valuation practices in organizational contexts.

Jamal Jokar Arsanjaniمشاهده پروفایل

استاد

• Remote Sensing
• Climate Change
• Land Use Change
• +۵ مورد دیگر

Jamal Jokar Arsanjani is a full professor in Geoinformatics and Earth Observation at Aalborg University (Denmark), leading the Geoinformatics & Earth Observation group. He holds a PhD from the University of Vienna (2011), with postdoctoral research at Heidelberg University supported by an Alexander von Humboldt fellowship (2012–2015). His academic career includes roles as a UN consultant in Vienna and senior scientist at Heidelberg's GIScience group. Research focuses on integrating geospatial data with computational models to address complex environmental challenges, including land use change, climate impacts, and natural hazards. Key methodologies include agent-based modeling, machine learning, and remote sensing. He contributes to UN Sustainable Development Goals, particularly SDGs related to climate action, sustainable cities, and responsible consumption. Recent projects include 'PROMISE' (micro-mobility integration in urban transport) and 'AI4Covid' (AI-driven pandemic monitoring). Awards include the Springer Outstanding PhD Dissertation (2012) and an Earth Observation award (2020). He serves on the European Environment Agency board and edits the journal Land . Research outputs span 105+ publications since 2008, emphasizing urban sustainability, disaster resilience, and geospatial technologies. Active in 7 ongoing projects and 45+ academic activities, he advises on policy and innovation in smart cities and climate adaptation.

• Bioinformatics
• Machine Learning
• Computational Biology
• +۷ مورد دیگر

Jan Baumbach is a Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where he leads cutting-edge research at the intersection of computer science, bioinformatics, and biomedical data science. His work integrates machine learning, network biology, and systems medicine to address complex challenges in health and disease. His research interests include Bioinformatics , Machine Learning , Gene Regulatory Networks , Drug Repositioning , Biomedical AI , and Computational Biology . He applies advanced computational methods to analyze large-scale biological data, with applications in cancer, metabolic diseases, dermatology, and infectious diseases. The 15 most recent publications highlight a strong trend toward biomedical artificial intelligence , network-based analysis , and translational bioinformatics . His work spans from foundational machine learning in healthcare to clinical applications in osteoarthritis, bone regeneration, and skin biology. A consistent theme is the integration of multi-omics data and the development of privacy-preserving federated learning frameworks for distributed healthcare systems. Jan Baumbach has been principal investigator on several major research projects, including: EU Horizon2020: Privacy-preserving federated machine learning in distributed healthcare Danish National Research Foundation: ATLAS Center for Functional Genomics of Tissue Plasticity Villum Foundation: Big Data Bioinformatics (Young Investigator Programme) Carlsberg Foundation: Computational profiling of bacterial volatile metabolomes (ProVol) He has supervised 13 PhD students and has an extensive publication record of 262 works. His research has been featured in high-profile media outlets, emphasizing the societal impact of drug repositioning and AI in medicine. He leads a research group focused on computational systems biology , with strong collaborations across Europe in the fields of genomics, metabolomics, and clinical data science.

Peter C. Petersenمشاهده پروفایل

دانشیار

• Systems Neuroscience
• Computational Neuroscience
• Electrophysiology
• +۳ مورد دیگر

Peter C. Petersen is an Associate Professor in the Department of Neuroscience within the Faculty of Health and Medical Sciences at the University of Copenhagen. Holding a Civilingeniør (MSc) in Technical Physics from DTU and a PhD in Neuroscience, he specializes in systems-level neural mechanisms using electrophysiological approaches. His educational background includes: Civilingeniør (MSc) in Technical Physics, DTU PhD in Neuroscience Petersen's research focuses on neural dynamics in memory and motor systems, combining in vivo electrophysiology with computational modeling. He investigates hippocampal place cells for spatial working memory and rotational dynamics in spinal cord networks, while developing neurotechnology tools like CellExplorer for single-neuron analysis. His work bridges experimental neuroscience, engineering, and data science to decode circuit-level computations. Recent publications (2020-2024) reveal a dual emphasis on hippocampal memory mechanisms (e.g., temperature effects on sharp wave ripples) and innovative methodology (e.g., 3D-printed microdrives). This trajectory demonstrates consistent advancement from tool development to fundamental discoveries in neural coding, with increasing collaboration intensity as evidenced by multi-institutional authorship. Scientific awards: No specific awards were documented in the source material. While explicit advising details are absent, his leadership in software/hardware development (CellExplorer, microdrive systems) implies active mentorship of technical researchers. Grant information isn't specified, though high-impact publications suggest sustained funding for neurotechnology and systems neuroscience projects. Petersen directs the Petersen Lab (https://petersenlab.org/), which employs chronic electrophysiology in rodent models to study memory and movement. The lab maintains strong ties with the Buzsáki lab (hippocampal research) and continues collaborations initiated during his NYU Langone Health tenure (2016-2022), reflecting an integrated approach to neural circuit analysis across institutions.

Henrik Madsenمشاهده پروفایل

استاد

• Energy Systems
• Stochastic Processes
• Demand Response
• +۷ مورد دیگر

Henrik Madsen is a Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His work focuses on energy systems, stochastic processes, and mathematical modeling. He leads research in areas such as demand response in district heating, probabilistic forecasting, and integration of renewable energy sources. Madsen has supervised multiple PhD students and contributes to projects like the IEA DHC Annex TS9 and SEEDS initiative. His expertise includes statistical analysis, time series modeling, and data-driven approaches for energy systems. He actively engages in collaborative research on smart grids, thermal energy storage, and sustainable energy solutions. Education: Academic qualifications from DTU, though specific details are not provided in the text. Research Interests: Mathematical modeling of energy systems Probabilistic forecasting methodologies Integration of wind and solar power Dynamic modeling for district heating Data assimilation in hydrological systems Optimization of energy flexibility Publications & Trends: Recent works emphasize demand response strategies, district heating optimization, and machine learning tools like the nabqr Python package and evalprob4cast R package. His research bridges theoretical stochastic methods with practical applications in energy infrastructure. Grants & Projects: IEA DHC Annex TS9: Digitalization of district heating SEEDS: RES-integrated electrified heating systems Data-Driven Methods for Demand-Side Flexibility Labs/Teams: Collaborates with DTU's Dynamical Systems group and participates in interdisciplinary initiatives like the Frigg 2.0 energy system analysis framework.

Brooks Alexandra Kaiserمشاهده پروفایل

استاد

• Environmental Economics
• Resource Economics
• Economic History
• +۷ مورد دیگر

Brooks Alexandra Kaiser is a Professor at the University of Southern Denmark, affiliated with the Department of Business and Sustainability at IEB Esbjerg, the European Center for Risk and Resilience Studies, and the SDU Climate Cluster. Her work bridges economics and environmental science, focusing on long-term socio-ecological transformations. PhD in Economics, Northwestern University, 1998 Tenured positions at Gettysburg College (USA) and University of Southern Denmark Visiting positions at University of British Columbia and University of Hawaii Her research centers on environmental and resource economics, particularly marine invasive species, Arctic socio-ecological systems, fisheries management, and climate change impacts. She employs bio-economic modeling to analyze how trade, technology, and policy affect marine resource use and conservation. Her recent work examines the snow crab invasion in the Barents Sea, economic costs of invasive species, and sustainable Arctic tourism. The 15 most recent publications reflect a strong trend in Arctic and marine environmental economics, with a focus on invasive species, fisheries governance, climate adaptation, and nature-based solutions. Her interdisciplinary approach integrates economics, ecology, and policy. Scientific recognitions include: Fellow of the Polar Research and Policy Initiative (UK) SCC Fast Track award (November 2024) She actively supervises PhD students, including M. Kourantidou, and has contributed to major research projects on climate adaptation, risk management, and Arctic sustainability. Her editorial roles include peer reviewer for Ecological Economics and People and Nature . She leads or co-leads several ongoing projects such as ARE BEST NbS and the SCC Elite Centre, demonstrating sustained research leadership and funding success. Kaiser is involved in multiple interdisciplinary research teams, including Landscape Imaginaries and the European Marine Research Network (Euromarine), and contributes to public discourse through media engagements on marine policy and climate change.

Amalia de Götzenمشاهده پروفایل

دانشیار

• Service Design
• Systemic Design
• Open Data
• +۷ مورد دیگر

Amalia de Götzen is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology, part of The Technical Faculty of IT and Design. Her work focuses on Systemic Design, Service Design, and Open Data initiatives, with a particular emphasis on participatory approaches and sustainability. She leads projects like CREATIVE DRIVERS FOR SUSTAINABLE LIVING HERITAGE LANDSCAPES and BC4ECO (Blockchain for Environmental Education), exploring interdisciplinary solutions for societal challenges. Her research interests include systemic design principles, cross-cultural collaboration through digital platforms, and ethical frameworks for data-driven design. Notable contributions include the DiversityOne multi-country smartphone sensor dataset and work on Theory of Change methodologies in urban regeneration projects. She has been awarded for innovative contributions to mobile sensing and 3D user interface design. Prof. de Götzen actively engages in public sector design, developing tools like the Stakeholder Map to enhance citizen-centric service design. Her projects often bridge academia and industry through collaborative ecosystems, emphasizing open licensing and IP awareness (e.g., ZOOOM project). Key Projects: Co-Design 4 Transitions (CD4T) - Climate Transition Strategies (2024-2027) Blockchain for Environmental Education (BC4ECO) - Disruptive Technology Pedagogy (2022-2025) CREATIVE DRIVERS - Heritage Landscapes and Sustainable Living (2023-2026) Awards: 2023: Mood Inference Model Prize for cross-cultural data analysis 2015: 3D User Interface Design Excellence Award Her work frequently addresses global challenges through design thinking, such as circular economy practices and digital citizenship frameworks. Current research explores temporal dimensions in urban planning and ethical AI integration in diversity-aware platforms.

Julian Antony Quickمشاهده پروفایل

پژوهشگر

• Wind Power
• Wind Turbine Engineering
• Compressed Air Motors
• +۳ مورد دیگر

Julian Antony Quick is a Researcher at the Department of Wind and Energy Systems within the Technical University of Denmark . His work focuses on wind farm optimization, energy management, and market-driven renewable energy systems. Active research in wind farm control and market integration Specializes in hybrid power plant design and uncertainty quantification Contributes to UN Sustainable Development Goals through wind energy research His research explores advanced optimization techniques for wind resource assessment, turbine design, and revenue maximization in electricity markets. Key areas include: Compressed air energy storage integration Wind farm layout optimization Surrogate-based system modeling Dynamic energy management strategies While not explicitly listed, his collaborative projects suggest active involvement in PhD supervision and industry partnerships across Europe. His recent publications demonstrate a strong focus on translating technical advances into economic benefits through: Market-aware wind farm design Data-driven flow control Hybrid system efficiency improvements SDG-aligned sustainable energy solutions

Annette Aagaard Thuesenمشاهده پروفایل

دانشیار

• EU agricultural policy
• LEADER programme
• Rural development
• +۷ مورد دیگر

Annette Aagaard Thuesen is Associate Professor at the Department of Political Science and Public Management, University of Southern Denmark, and a core member of the Danish Centre for Rural Research. Since 2023 she also serves as President of the European Society for Rural Sociology. Education PhD in Social Science, University of Southern Denmark (defended May 2010) MA in Social Science and French Research Interests Thuesen’s research integrates EU agricultural and rural development policy, village governance, social innovation and digital exclusion. She empirically examines the LEADER programme, local action groups (LAGs), municipal planning for villages, and the role of civil-society organisations. Theoretically, her work mobilises social capital, democratic network governance, meta-governance, participatory democracy and co-creation. Research Trends Her recent publications (2022–2025) cluster around three themes: (1) evaluation and added value of LEADER/LAG partnerships; (2) spatial justice and strategic village planning; and (3) digital exclusion in rural health and welfare services. Studies combine qualitative case studies, policy evaluation and theoretical development, mostly set in Denmark but framed within wider EU rural policy contexts. Scientific Awards & Leadership President, European Society for Rural Sociology (2023–present) Projects & Funding Principal Investigator, “Mellem by og land: Synergier skaber fremtidens bymidter” (2025–2026) Principal Investigator, “Fælles om Sundhed på Landet” (2025–2026) Participant, EU Horizon Europe “REACT: Rural eHealth Facilitators” (2022–2025) Participant, “Men on the Margins of Society” (2025–2027) Participant, EU “Famenet” (2022–2027) Teaching & Supervision She has long taught sociology in Esbjerg and from autumn 2024 adds European Studies in Sønderborg. Courses include Data Treatment, Public Administration, Political Sociology and Advanced Evaluation Methods.

• Human Factors
• Human-Computer Interaction
• E-Health
• +۶ مورد دیگر

John Paulin Hansen is a Professor at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics under the Technology and Business Studies school. His research focuses on human factors, human-computer interaction, and assistive technologies, particularly in gaze interaction and rehabilitation robotics. He holds a Ph.D. from Aarhus University (1992) and has led research groups at institutions like Risø National Laboratory and the IT University of Copenhagen. His work emphasizes improving quality of life for individuals with motor disabilities through innovations like The Eye Tribe and GazeIT lab initiatives. Research Interests include: Eye-tracking technology and gaze interaction systems Exoskeletons and AR interfaces for stroke rehabilitation Human digital twins in healthcare Telepresence robotics accessibility Brain-computer interfaces (BCI) Key Achievements: Founded EU’s COGAIN network, co-created The Eye Tribe startup (acquired by Facebook/Oculus), and leads the GazeIT lab supported by the Bevica Foundation. His projects address sustainable development goals through inclusive technology solutions. Awards: Vanførefondens Forskerpris 2018 Multiple Best Paper Awards (2019–2022) Reviewers' Favourite Best Paper Award at DESIGN2022 Advising & Grants: Mentor to startups like The Eye Tribe and Orbital (acquired by GN Audio). Current projects include EU Horizon 2020 Rehyb initiative for AR exoskeleton interfaces and Human Digital Twin applications in rehabilitation. Labs/Teams: GazeIT lab pioneers assistive tech innovations, collaborating with LEGO and Serious Games Interactive. Active in developing inclusive design pedagogy and digital twin methodologies for healthcare.

Yan Zhaoمشاهده پروفایل

دانشیار

• Anomaly Detection
• Autoencoder
• Attention (Machine Learning)
• +۵ مورد دیگر

Yan Zhao is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark, affiliated with The Technical Faculty of IT and Design. His research focuses on data engineering, science, and systems, with a particular emphasis on anomaly detection, machine learning, and spatio-temporal data analysis. He holds a Ph.D. in Computer Science (specific education details not explicitly provided). Research Interests: Dr. Zhao's work spans anomaly detection, autoencoders, attention mechanisms, preference learning, multivariate time series, and computational efficiency. His research often integrates machine learning with real-world applications in spatial crowdsourcing, trajectory analysis, and data privacy. Publications: With 72+ publications, his recent work emphasizes spatio-temporal prediction frameworks, federated learning, and efficient time series analysis. Notable contributions include frameworks for continuous learning on streaming data and privacy-preserving clustering in spatial crowdsourcing. Grants & Supervision: He has supervised one Ph.D. student and actively contributes to research grants focusing on data engineering and smart systems. His work bridges theoretical advancements with practical applications in transportation, social networks, and IoT.