Find Academic Supervisors

Jamal Jokar ArsanjaniView profile

Professor

• Remote Sensing
• Climate Change
• Land Use Change
• +5 more

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.

• Applied probability theory
• Markov chain Monte Carlo methods
• Spatial statistics
• +4 more

Jesper Møller is a Professor in the Department of Mathematical Sciences at Aalborg University's Faculty of Engineering and Science, specializing in Statistics and Mathematical Economics. His research focuses on advanced statistical methodologies with applications across various scientific domains. His educational background includes extensive training in mathematical sciences, though specific degree details aren't provided in the current materials. His research interests span: Applied probability theory Markov chain Monte Carlo methods (MCMC) Spatial statistics Stochastic geometry Stochastic simulation Point process modeling Professor Møller's recent publication record shows consistent productivity with 239 research outputs including journal articles, reports, and book chapters. His work demonstrates strong focus on spatial point processes, Bayesian inference methods, and applications of stochastic geometry. The research trends indicate increasing sophistication in modeling complex spatial patterns and developing computational methods for statistical inference. His scientific contributions have been supported by numerous research projects, with 28 projects documented including the current "Peculiar Distribution Functions and Interesting Stochastic Processes" (2022-2026). His work has generated significant scholarly impact with citations across multiple disciplines. Professor Møller has supervised 8 PhD students and maintains active collaborations across international research networks. His current projects suggest continued research activity in developing novel statistical methodologies for complex spatial data analysis with applications in materials science, neuroscience, and environmental statistics.

Peter C. PetersenView profile

Associate Professor

• Systems Neuroscience
• Computational Neuroscience
• Electrophysiology
• +3 more

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.

Matthias MannView profile

Professor

• Proteomics
• Mass spectrometry
• Clinical proteomics
• +6 more

Professor Matthias Mann is Research Director and Group leader at the Proteomics Program at Novo Nordisk Foundation Center for Protein Research (CPR) at the University of Copenhagen's Faculty of Health and Medical Sciences. He also holds a Director position at the Max-Planck Institute of Biochemistry in Munich. As one of the most highly cited researchers in the world with h-index 216 and over 200,000 citations, Mann is a pioneer of mass spectrometry-based proteomics who has made landmark contributions to the development of electrospray ionization. Professor Mann's research interests focus on proteomics technology development and its application to biological and clinical problems. His Clinical Proteomics group applies mass spectrometry-based proteomics to understand human health and disease, with the goal of improving patient diagnosis, stratification, and prevention of diseases such as metabolic disorders and cancer. The group has established robust, high-throughput proteome profiling pipelines for clinical cohorts and develops AI-guided platforms for analyzing proteomes from low amounts of formalin-fixed, paraffin-embedded samples. A key research area is the interpretation of multi-omics data through the Clinical Knowledge Graph, which harmonizes multi-omics data with meta-data for machine learning applications. Professor Mann's recent publications demonstrate trends across several fields including clinical proteomics, biomarker discovery, mass spectrometry technology development, and multi-omics integration. His work spans applications in cancer research, metabolic diseases, neuroscience, and cardiac biology, with a consistent focus on translating proteomic technologies into clinical applications for personalized medicine. Dr H.P. Heineken Prize for Biochemistry and Biophysics 2024 Louis-Jeantet Foundation Prize for Medicine (2012) Leibniz Prize of the German Research Society (2012) Körber European Science Award (2012) Ernst Schering Prize (2012) Protein Society Anfinsen Award (2005) Novo Nordisk Prize (2004) Professor Mann has mentored numerous researchers, with several former post-docs receiving prestigious ERC Starting Grants. His research has been supported by significant funding from the Novo Nordisk Foundation and other major research organizations. The Mann Group maintains collaborations with clinical researchers across multiple institutions to apply proteomics to patient cohorts and disease studies. The Mann Group operates within the Novo Nordisk Foundation Center for Protein Research at the University of Copenhagen, working closely with other research groups including the Choudhary Group, Olsen Group, and others within the CPR. The group maintains state-of-the-art mass spectrometry facilities and develops computational tools for proteomic data analysis, creating an integrated environment for technological innovation and biological discovery.

Henrik MadsenView profile

Professor

• Energy Systems
• Stochastic Processes
• Demand Response
• +7 more

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.

Dominik SchraffView profile

Associate Professor

• Comparative Politics
• European Union
• Political Trust
• +4 more

Dominik Schraff is an Associate Professor at the Department of Politics and Society within Aalborg University's Faculty of Social Sciences and Humanities. His work bridges Comparative Politics and European Integration studies, with a focus on political trust , regional inequality , and urban-rural divides . Active in SSH Children and Youth Research Network , he leads projects on EU support geography and social group appeals. His research reveals nonlinear pandemic effects on political trust and asymmetric EU ratification impacts on legitimacy perceptions. Key methodological contributions include the EU-NED dataset for NUTS-level electoral analysis. Scientific recognition includes the 2023 Årets Underviser (Best Teacher) 2023 Best Paper Prize (Journal of European Public Policy) 2021-2025 Top Cited Article awards His conference activities span regional discontent and place-based political appeals , with media coverage in policy debates about European right-wing populism and post-Brexit integration .

Brooks Alexandra KaiserView profile

Professor

• Environmental Economics
• Resource Economics
• Economic History
• +7 more

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 GötzenView profile

Associate Professor

• Service Design
• Systemic Design
• Open Data
• +7 more

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.

Stefan JunneView profile

Associate Professor

• Bioprocess Engineering
• Microbial Cultivation
• Anaerobic Digestion
• +8 more

Stefan Junne is an Associate Professor at Aalborg University's Department of Chemistry and Bioscience, within The Faculty of Engineering and Science. His research focuses on optimizing bioprocesses for sustainable production, particularly in microbial cultivation systems, anaerobic digestion, and single-use bioreactor technologies. He holds a Ph.D. in Bioprocess Engineering from Technical University of Berlin and a University Diploma in Chemical Engineering from Friedrich-Alexander University Erlangen-Nürnberg. Education: Ph.D. in Bioprocess Engineering, Technical University of Berlin (2010) University Diploma in Chemical Engineering, Friedrich-Alexander University Erlangen-Nürnberg (2003) Research Interests: Dr. Junne's work addresses challenges in bioprocess scalability, microbial co-cultivation dynamics, and real-time monitoring technologies. He develops methods for valorizing biogenic residues via anaerobic digestion and dark fermentation, emphasizing low-energy, non-sterile systems. His projects include optimizing plug-flow reactors, membrane-free hydrogen sensors, and single-cell analysis tools. He also investigates the environmental and economic viability of bio-based production grids. Key Projects (2022–2026): STARBio: Single-cell Tracking Analytics for Reliable Bioprocesses Controlling dissolved hydrogen for hydrogenotrophic processes Scale-down of microbial processes Heterogeneity of filamentous growth under shear-force regimes Plug-flow dark fermentation for carboxylic acids Scientific Awards: Gold medal for membrane-free hydrogen monitoring in biogas (2024) Morphology control for Aspergillus scalability (2024) Membrane-free hydrogen monitoring in bioprocesses (2024) Teaching & Collaboration: He teaches courses on bioprocess design, techno-economic analysis, and microbial biotechnology at both B.Sc. and M.Sc. levels. His flipped classroom and challenge-based learning approaches emphasize practical bioprocess development and sustainability assessments. He collaborates internationally on bioreactor engineering and bioeconomic solutions.

Lisbet TarpView profile

Associate Professor

• Digital Art History
• Materiality in Art
• Painting
• +7 more

Lisbet Tarp is an Associate Professor in Art History at the School of Communication and Culture, Aarhus University. Her academic work bridges traditional art historical scholarship with digital methodologies and interdisciplinary research, particularly in the fields of painting, materiality, and conservation. She is actively engaged in several high-impact research projects exploring the intersections of art, science, and technology. Research Interests: Digital Art History and computational analysis of paintings Materiality and technique in historical and contemporary painting Conservation science and hidden layers in artworks Mathematics and geometry in visual art Early modern court culture and ceremonial representation Interdisciplinary practices between art and anatomy Her recent publications reflect a strong trend toward integrating digital tools into art historical inquiry, with a focus on uncovering the material and technical dimensions of paintings. Projects such as Digital Art History: Rediscovering the Painting and ANAT: Anatomical Theater demonstrate her innovative approach to visual culture through scientific and digital lenses. Her work often involves collaborative, peer-reviewed publications and digital dissemination. Scientific Projects & Activities: ANAT: Anatomical Theater (2023–2029) – Investigating dissection as aesthetic practice in early modern and contemporary contexts Digital Art History: Rediscovering the Painting (2019–2022) – Using digital methods to analyze painting techniques and material composition MoCMa: Mobility Creates Masters (2017–2019) – Studying transnational influences in European art LUMEN Center (2015–2025) – Researching Lutheran theology and its impact on confessional societies and visual culture Lisbet Tarp has contributed extensively to academic discourse through peer-reviewed journals, anthologies, and digital publications. While no formal students or awards are listed, her leadership in major research initiatives underscores her scholarly influence. She employs digital platforms for both research and pedagogy, including student-organized seminars and open-access digital versions of her work.

Julian Antony QuickView profile

Researcher

• Wind Power
• Wind Turbine Engineering
• Compressed Air Motors
• +3 more

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 ThuesenView profile

Associate Professor

• EU agricultural policy
• LEADER programme
• Rural development
• +7 more

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.

Pourya ForooghiView profile

Associate Professor

• Fluid Mechanics
• Heat Transfer
• Power-to-X
• +3 more

Pourya Forooghi serves as Associate Professor in the Department of Mechanical and Production Engineering at Aarhus University's School of Engineering, Denmark. His active research profile is anchored in the university's heat and fluid flow group, with direct contact available via telephone (+45 93 52 23 03) and email (forooghi@mpe.au.dk). Current activities include conference contributions such as the 2024 ERCOFTAC Symposium lecture on electrolyzer modeling. Research Interests His work spans fundamental and applied fluid dynamics with emphasis on: Turbulent flow over complex rough surfaces (anisotropic, patchy, irregular) Thermohydraulic roughness characterization Data-driven modeling for drag and heat transfer prediction Power-to-X (PtX) energy systems Secondary flows in boundary layers Cryogenic heat transfer (frost formation, evaporators) Publication Trends Analysis of his 2023-2025 publications reveals a dominant focus on roughness effects in turbulent flows using DNS and data-driven methods. Key patterns include hydrodynamic/thermal property characterization of realistic rough surfaces, drag reduction via spanwise forcing, and laminarization techniques in pipe flows. Applications concentrate on energy systems like CO2 heat pumps, PtX electrolyzers, and refrigeration evaporators. Scientific Awards No scientific awards, fellowships, or medals were documented in the provided materials. Advising and Grants The source text contains no explicit information regarding graduate students, postdoctoral advisees, or grant funding activities. His research group involvement suggests likely supervision responsibilities absent specific listings. Laboratories and Teams Forooghi leads computational research within Aarhus University's heat and fluid flow group, utilizing DNS/LES techniques and data-driven frameworks. His work integrates high-fidelity simulations with engineering applications, particularly in energy conversion systems requiring advanced roughness modeling.

Axel PolleresView profile

Professor

• Semantic Web
• Knowledge Engineering
• Data Management
• +12 more

Axel Polleres is a full professor in the area of 'Data and Knowledge Engineering' at the Vienna University of Economics and Business (WU Wien) and a faculty member at the Complexity Science Hub (CSH) in Vienna, a position he has held since January 2017. His work bridges academic research and real-world applications in semantic technologies, knowledge graphs, and data governance. His research interests lie at the intersection of semantic web technologies, knowledge engineering, and data management. Focused on querying and reasoning over ontologies, logic programming, and rule-based systems, he explores how structured data can be effectively managed, validated, and integrated—especially through standards like SPARQL and SHACL. His work extends to applications in open data, legal data, biomedical informatics, and socio-environmental challenges such as climate and public health. The most recent publications highlight a growing trend toward practical and societal applications of knowledge graphs, including climate risk assessment, crisis response, healthcare accessibility, and open data governance. These works combine technical rigor in semantic modeling with impactful real-world use cases, particularly in European and Austrian contexts. Axel Polleres has been actively involved in international standardization, notably as co-chair of the W3C SPARQL Working Group, and serves on the editorial boards of the Semantic Web Journal and Journal of Web Semantics . He has contributed to numerous European and national research projects and has published over 100 articles in top-tier journals and conferences. He advises and collaborates with researchers across disciplines and institutions, contributing to interdisciplinary teams working on complex societal challenges. His work is supported by significant research grants, though specific funding sources are not detailed in the provided text. He leads and participates in research groups focused on semantic technologies, knowledge graphs, and data-driven policy.

Yurij HolovatchView profile

Professor

• Statistical Physics
• Phase Transitions and Critical Phenomena
• Complex Systems
• +13 more

Yurij Holovatch is a Professor and Chief Researcher at the Institute for Condensed Matter Physics (ICMP) of the National Academy of Sciences of Ukraine in Lviv, where he founded the Laboratory for Statistical Physics of Complex Systems. He is a co-founder and co-director of the L4 collaboration and the International Doctoral College in Statistical Physics of Complex Systems, linking ICMP with the Universities of Leipzig (Germany), Coventry (UK), and Lorraine (France). He is also a full member of the National Academy of Sciences of Ukraine. Research Interests: His work focuses on phase transitions and critical phenomena in structurally disordered magnets, scaling of macromolecules and conformational properties of complex polymers, complex networks (ordering, stability, spreading), and increasingly extends into digital humanities and human migration . His research bridges theoretical physics with data-driven modeling of social and urban systems. Publication Trends: His recent publications (2023–2024) reveal a sustained focus on critical behavior in disordered systems using Monte Carlo simulations, exact and asymptotic analysis of models like the Potts and Blume-Capel models, and innovative applications of statistical physics to collective decision-making, transportation networks, and migration. These works reflect a strong interdisciplinary trend, integrating physics-based modeling with data analytics and social science questions. Davydov Prize for studies in theoretical and biological physics (2020) Honorary Ambassador of Lviv (2020) Visiting Professor (Honorary), Coventry University (since 2018) Advising and Grants: As co-director of the International Doctoral College, he plays a central role in training PhD students in statistical physics across Ukraine, Germany, UK, and France. He organizes the annual Ising Lectures workshop in Lviv since 1997, fostering international collaboration. He serves as editor of the book series Order, Disorder and Criticality (World Scientific), with Volume 7 published in 2023. Labs and Teams: He founded and leads the Laboratory for Statistical Physics of Complex Systems at ICMP Lviv. He co-directs the L4 collaboration and the International Doctoral College, which function as cross-institutional research and educational networks integrating theoretical and computational physics across Europe.