جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Pattern Recognition
• Classification
• +۶ مورد دیگر

Christian Igel is a Professor at the Department of Computer Science, University of Copenhagen, and serves as director of the SCIENCE AI Centre . He is also a co-lead of the Pioneer Centre for Artificial Intelligence in Denmark. His academic journey includes a Doctoral degree from Bielefeld University (2002) and a Habilitation degree from Ruhr-University Bochum (2010). Igel is a Juniorprofessor (2002–2010) and has held editorial roles at journals like KI - Künstliche Intelligenz and Artificial Intelligence Journal . Doctoral degree: Faculty of Technology, Bielefeld University, Germany (2002) Habilitation degree: Department of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Germany (2010) His research spans Machine Learning , focusing on Support Vector Machines , Evolution Strategies , Reinforcement Learning , Deep Neural Networks , and PAC-Bayesian Analysis . He applies these methods to Environmental Monitoring , Medical Diagnostics , and Climate Research . Recent publications highlight work on adversarial machine learning , environmentally sustainable AI , and tree resource mapping using deep learning. His scientific awards include being a ELLIS Fellow . Igel’s software tools like Shark , woody , and Multi-Planar UNet are widely used in research and industry. Notable grants and collaborations involve projects with European Lab for Learning and Intelligent Systems (ELLIS) , SCIENCE AI Centre , and international teams in Denmark , Germany , and France . His lab leadership emphasizes open-source frameworks and reproducible research. Editorial Roles: German Journal on Artificial Intelligence , Evolutionary Computation Journal , Artificial Intelligence Journal Software Projects: Shark , woody , Multi-Planar UNet , U-Time Collaborations: SCIENCE AI Centre , Pioneer Centre for Artificial Intelligence , European Lab for Learning and Intelligent Systems

• Sociology of education
• Globally mobile professionals
• Elites and elite education
• +۷ مورد دیگر

Claire Maxwell is a Professor in the Department of Sociology at the University of Copenhagen, affiliated with the Faculty of Social Sciences. She joined the department in 2018 from University College London. Her research focuses on elites, global mobility, education systems, and social inequality, with a particular emphasis on how internationalization and mobility shape class dynamics and family practices. Education: PhD in Sociology (University of London, 2005) MSc in Applied Social Studies and Social Work (University of Oxford, 1999) MA(Hons) in Politics, Philosophy and Economics (2005) Research Interests: Maxwell’s work examines global middle-class families, elite education systems, and the interplay between mobility and nationalism. She pioneered the concept of 'cosmopolitan nationalism' to analyze how global agendas are re-purposed by elites. Current projects include SkillsINCORP (funded by the Independent Research Fund Denmark), studying high-skilled professionals' incorporation into Danish workplaces, and Onboard Denmark (Innovation Fund Denmark), developing tools for SMEs to recruit international talent. Grants & Projects: SkillsINCORP (2022-2025): Investigating professional integration in Danish firms Onboard Denmark (2021-2024): Digital tools for SMEs Israeli Science Foundation-funded study on mobile Israeli families (2020-2023) Labs/Teams: Leads cross-disciplinary teams collaborating with industry partners on global mobility challenges. Co-edits the International Studies in Sociology of Education (until 2024) and the Education in Global Perspectives book series.

Nina Tormمشاهده پروفایل

دانشیار

• Development Economics
• Labor Markets
• Informality in Global South
• +۳ مورد دیگر

Nina Torm is an Associate Professor at Roskilde University's Department of Social Sciences and Business, specializing in development economics with a focus on labor markets, informality, and environmental sustainability in sub-Saharan Africa and East Asia. She co-leads the DANIDA-funded STRESS project (2024-2029) examining resilience in Sahelian peri-urban areas and participates in the SWASH project (2022-2025) addressing sustainable water systems in Ghana. Her past work includes the SPIWORK project (2016-2022) on social protection for informal workers in East Africa. Education spans a PhD in Economics from the University of Copenhagen (2009-2013), MSc in International Development from University of Bath (2000-2001), and BA in Economics, Politics & Philosophy from University of York (1997-2000). Research interests center on regulatory frameworks, labor market dynamics in informal economies, and climate-resilient governance. Notable contributions include analyzing informal worker associations' roles in crisis response and exploring linkages between social protection and formalization in LMICs. She has published widely on training impacts, gender wage gaps in SMEs, and occupational safety in construction sectors. Teaching includes courses on ecological economics, global political economy, and informality studies. She supervises graduate students in Global Development Studies and serves as a censor at Copenhagen and Aarhus Universities. Professional roles include consultancy for ILO, World Bank, and UNU-WIDER, alongside editorial work for major journals like World Development and Journal of Development Studies.

• Water Technology
• Membrane Processes
• Nanofiber Materials
• +۴ مورد دیگر

Wenjing (Angela) Zhang is a Professor and Head of Section for Water Technology and Processes at the Technical University of Denmark (DTU), Department of Environmental and Resource Engineering. She leads research on membrane technologies, nanofiber materials, and sustainable water treatment processes. Her research focuses on: Advanced membrane design for wastewater treatment and resource recovery Electrospinning and nanofiber applications in energy/environmental tech Photocatalytic plastic upcycling and microplastic degradation Green hydrogen production through innovative membrane systems Professor Zhang's publications demonstrate strong emphasis on material innovation for environmental solutions, particularly in membrane technology (nanofiber composites), electrocatalysis, and sustainable plastic waste management. Recent works show increasing focus on industrial wastewater applications and plastic upcycling. She has received scientific recognition including: Honorary Professorship in China (2018) As primary supervisor for multiple PhD projects, she mentors students in: Nanostructured membranes for hydrogen production Decentralized wastewater treatment systems Biocatalytic membranes for microplastic degradation Plastic upcycling photocatalysts She leads major funded projects including 'Sustainable Industrial Laundry Wastewater Treatment' and 'Nanostructured membrane design for Green Hydrogen Production'. She directs research within the Water Technology & Processes section, collaborating with DTU Microbes Initiative and international partners on sustainable water solutions.

Qiongxiu Liمشاهده پروفایل

استادیار

• Cybersecurity
• Distributed Optimization
• Privacy-Preserving Technologies
• +۵ مورد دیگر

Qiongxiu Li is a Tenure-Track Assistant Professor in the Cyber Security group at Aalborg University's Copenhagen campus, part of the Technical Faculty of IT and Design. Her research focuses on cybersecurity, distributed optimization, privacy/security, and federated learning. She has authored/co-authored 38 papers in top-tier venues including IEEE Transactions on Information Forensics and Security, ICLR, and EUSIPCO. Education: PhD in Privacy and Security from Aalborg University (2018-2021). Notable achievements include winning the EUSIPCO 2020 3MT Contest and co-delivering a tutorial on privacy-preserving distributed optimization at EUSIPCO 2024. She actively reviews for conferences like NeurIPS, ICLR, and journals such as TPAMI and TIFS. Research Themes: Privacy-preserving distributed algorithms, federated learning security, differential privacy, and adversarial machine learning. Recent Trends: Focus on securing AI systems (e.g., LLM vulnerabilities, federated clustering privacy), quantization for privacy, and theoretical bounds in decentralized learning. Awards: 2020 EUSIPCO 3MT Winner (outstanding finalist in EURASIP's annual doctoral research competition). Grants/Projects: Co-PI of the AI:SECURITY project (2025-2029) addressing AI security threats like phishing and malicious actors. Labs/Teams: Leads the Cyber Security group at Aalborg's Copenhagen campus, focusing on theoretical and applied research in secure distributed systems.

Ankit Kariryaaمشاهده پروفایل

استادیار

• Machine Learning
• Remote Sensing
• Geospatial Analysis
• +۴ مورد دیگر

Ankit Kariryaa is a Tenure Track Assistant Professor at the Department of Computer Science and Department of Geosciences and Natural Resource Management , University of Copenhagen. His work bridges Machine Learning and Environmental Informatics , focusing on remote sensing, geospatial analysis, and ecological modeling. University of Copenhagen, Denmark Machine Learning Section, Department of Computer Science Geography, Land, Environment and Society, Department of Geosciences Kariryaa specializes in applying deep learning and computer vision to environmental challenges. His research includes: Automated tree detection and biomass estimation via satellite imagery Multi-modal geospatial representation learning Monitoring farmland tree decline and carbon sequestration potential Agroforestry system mapping using AI Developing AI tools for climate policy and sustainability Recent work trends show a focus on quantum-inspired machine learning , environmental monitoring , and cross-cultural AI applications . His 15 most recent publications span topics in remote sensing , ecological modeling , and AI ethics , with methods ranging from neural networks to tensor-based learning. He collaborates across disciplines, notably with researchers in ecology , climate science , and quantum computing . His outreach includes seminars on AI in agroforestry and ecosystem management , while his team contributes to global tree resource databases like TreeSense.

Morten Søndergaardمشاهده پروفایل

دانشیار

• Sound Art
• Media Art
• Curatorial Studies
• +۳ مورد دیگر

Morten Søndergaard is an Associate Professor at Aalborg University’s Department of Communication and Psychology, affiliated with the Faculty of Social Sciences and Humanities. He is part of the Art, Aesthetics & Health Research Laboratory and the MASSHINE initiative. His research focuses on sound art, media art curation, and transdisciplinary practices, emphasizing the exclusion mechanisms in 20th-century art systems and unarchived avant-garde movements. Søndergaard has curated exhibitions globally, including at Kiasma and ZKM, and co-founded the POM conference series and ISACS symposia. He leads the Erasmus Master of Excellence in Media Arts Cultures, collaborating with institutions in Austria, Poland, and Hong Kong. His work bridges art, science, and technology, with recent projects exploring sonic archives and participatory curatorial frameworks. Key collaborations include roles with the European NeMe network, SUNY College New York, and the Momentum Biennial. He has organized over 20 projects since 2008, including the 2025 Momentum Biennial as head curator. His teaching spans media art theory, sound art practices, and curatorial methodologies at both bachelor and master levels. Søndergaard’s research outputs include over 145 publications, with a focus on sound art’s theoretical and practical dimensions. His current projects emphasize ‘uncurating’ methodologies and the reactivation of marginalized avant-garde practices. Notable activities include editorial roles, international conference organization, and advisory roles in art and science networks. His work has been featured in media outlets like Artdaily and the Biennial Foundation, highlighting his contributions to contemporary art discourse and curatorial innovation.

Anker Degn Jensenمشاهده پروفایل

استاد

• Chemical Reaction Engineering
• Catalysis
• Particle Technology
• +۱۰ مورد دیگر

Anker Degn Jensen is a Professor in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), where he is affiliated with the CHEC Research Centre. His research spans chemical reaction engineering, catalysis, and particle technology with applications in energy and sustainability. His research interests include chemical reaction engineering , catalysis , combustion , gasification of solid fuels , flue gas cleaning (especially NOx and Hg removal), production of liquid fuels , and fluidized bed processes for coating and agglomeration in white biotechnology. His work significantly contributes to UN Sustainable Development Goals related to clean energy and climate action. The recent publications highlight a strong trend in bio-oil upgrading , ammonia synthesis , plasma-assisted methane conversion , and adsorption modeling . These works reflect a deep engagement with sustainable fuel production, catalytic process optimization, and fundamental surface reaction mechanisms. Conversion of Furfural as a Bio-Oil Model Compound An Adsorption Isotherm That Includes Interactions Plasma-Assisted Non-Oxidative Coupling of Methane Optimisation of a Haber-Bosch Synthesis Loop Production of Phenolic Compounds from Argan Shell Waste Anker Degn Jensen is actively supervising multiple PhD students and leading research projects in hydrogen production, CO2 and H2O electrochemical reduction, bio-oil hydrotreating, and catalytic upgrading of biomass. He is involved in over 100 projects, including active grants on Conversion of hydrocarbons to hydrogen , Modeling electrochemical CO2 reduction , and Catalytic upgrading of pyrolysis oil . He is associated with the CHEC Research Centre at DTU, a hub for chemical engineering and catalysis research. His team collaborates on advanced reactor designs and catalytic processes for renewable fuels and chemicals.

Philip Loldrup Fosbølمشاهده پروفایل

دانشیار

• Carbon Dioxide Capture and Storage
• Thermodynamics and Phase Equilibrium
• Process Design, Simulation, and Optimization
• +۱۲ مورد دیگر

Philip Loldrup Fosbøl is an Associate Professor in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), College of Engineering. He is actively affiliated with CERE – Center for Energy Resources Engineering, where he conducts research on CO 2 capture, storage, transport, and utilization. His work integrates thermodynamic modeling, process simulation, and pilot-scale experimentation to address challenges in carbon management and sustainable energy systems. His research interests include: Carbon Dioxide Capture and Storage (CCS) Thermodynamics and Phase Equilibrium of Electrolyte Solutions Process Design, Simulation, and Optimization CO 2 Corrosion in Energy Systems Biogas Upgrading and Cleaning CO 2 Utilization and Conversion Development of Predictive Thermodynamic Models Mobile and Large-Scale Pilot Facilities for CO 2 Capture His recent publications (2025) highlight a strong focus on biogas upgrading, solvent degradation in industrial CO 2 capture, thermophysical property measurements, and novel electrochemical separation methods. These works reflect a consistent trend toward energy-efficient, scalable, and industrially applicable solutions for decarbonization, particularly in flue gas and biogas treatment. Scientific awards received: Top PhD Thesis of the Year (2008) He actively supervises multiple PhD students and leads research projects funded by industrial partners such as Ørsted, Shell, Equinor, and Novozymes, as well as EU initiatives including CASTOR, iCap, and OCTAVIUS. His work contributes to UN Sustainable Development Goals related to climate action and affordable, clean energy. He is involved in laboratory research on thermodynamic equilibrium (VLE, SLE), heat capacity, corrosion mechanisms, and core flooding for CO 2 storage. His team develops experimental methods and operates pilot facilities for CO 2 capture and biogas cleaning, often in collaboration with key researchers like Kaj Thomsen, Nicolas von Solms, and Georgios Kontogeorgis.

Philip Billeمشاهده پروفایل

استاد

• Algorithms
• Data Structures
• String Processing
• +۹ مورد دیگر

Philip Bille is a Professor and Head of the Algorithms, Logic and Graphs section at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), College of Engineering. His research centers on the design and analysis of efficient algorithms, particularly for string processing, compressed data, and data structures. His research interests lie at the intersection of theoretical computer science and practical applications. He focuses on algorithms , data structures , string indexing , pattern matching , and compressed computation . His work enables efficient querying and processing of large-scale, repetitive data, with applications in bioinformatics, intrusion detection, and green computing. The recent publications reflect a strong trend in developing space-efficient and fast algorithms for modern computational challenges. Key themes include compressed data structures , sliding window indexing , finite automata compression , and energy-aware matrix operations . These works demonstrate expertise in balancing theoretical rigor with practical performance. Philip Bille actively supervises multiple PhD students and leads several research projects. He contributes to advancing sustainable computing aligned with UN SDGs. His work integrates algorithmic theory with real-world efficiency. Supervises PhD projects on hierarchical compression, adaptive computation, and vector processor algorithms. Involved in research on green computing, compressed formats, and efficient data models. He is affiliated with the Algorithms, Logic and Graphs group at DTU, a hub for theoretical and applied algorithmic research. The team explores fundamental problems in data representation and processing, pushing the boundaries of what is computationally feasible in terms of time and space.

Abayomi Baiyereمشاهده پروفایل

دانشیار

• Digital Transformation
• Information Systems
• Digital Strategy
• +۶ مورد دیگر

Abayomi Baiyere serves as an Associate Professor in the Department of Digitalization at Copenhagen Business School (CBS), where he conducts cutting-edge research at the intersection of digital technologies and organizational transformation. His work significantly contributes to UN Sustainable Development Goals through digitally-enabled societal impact initiatives and has yielded 69 research outputs including high-impact publications in premier journals like Information Systems Journal and Information Systems Research . His research program focuses on: Digital transformation frameworks (notably the MIND framework for capability assessment) Platform design and governance mechanisms Smart service systems development Workplace transformation through digital subtraction logic Digital strategy implementation challenges Analysis of his 15 most recent publications (2024-2025) reveals a strong theoretical grounding in institutional and practice-based perspectives, with increasing emphasis on ethical dimensions of digital transformation, AI implementation constraints, and methodological innovations in computational research. His work consistently bridges conceptual rigor with practical applicability for organizational leaders. Dr. Baiyere actively shapes academic discourse through editorial roles including co-editing The Routledge Companion to Management Information Systems (2025) and organizing key events like the African IS Paper Development Workshop (2020). His public engagement includes 6 media contributions discussing digital workplace transformation and strategic implementation challenges, demonstrating commitment to translating research into practical insights for broader audiences. Within CBS, he has supervised 8 academic works while contributing to the department's international recognition in digitalization research. His activities reflect deep engagement with both theoretical advancement in information systems and practical solutions for organizational digital maturity.

Karen la Courمشاهده پروفایل

استاد

• Palliative Care
• Cancer Rehabilitation
• Occupational Therapy
• +۵ مورد دیگر

Karen la Cour is a Professor at the Department of Public Health , University of Southern Denmark (SDU) , leading the Research Unit for User Perspectives & Community-based Interventions . She holds a PhD from Karolinska Institutet (2008) and an MSc in Occupational Therapy from Tufts University (1991) . Her career spans roles as Head of Research Groups , Affiliated Professor at Suunaas Hospital, Norway , and Research Director at REHPA . Academic Degrees: PhD (Karolinska Institutet), MSc (Tufts University) Current Role: Professor, SDU; Focus on community-based cancer rehabilitation and palliative care Research Interests center on coordination of rehabilitation and palliative care , advanced cancer patient quality of life , occupational therapy interventions , and community-based healthcare models . Her work emphasizes social equality , home-life adaptation , and co-production with patients and relatives . Selected Articles highlight her contributions to advanced cancer care , existential support programs , and resource-oriented interventions . Recent studies focus on virtual rehabilitation for dementia , young adult cancer survivors , and environmental restorative potential in palliative settings. Scientific Awards include the Jeppe Juhl Jensen Endowment Grant (2019) , European Cancer Rehabilitation Symposium Poster Prize (2016) , Ropox Prize (2015) , and a Fulbright Scholarship (1989) . Supervision involves mentoring PhD and Master’s students , with seven PhD graduates and four current students. Her projects include YATAC (young adult cancer survivors), COMPAS (socioeconomically disadvantaged cancer patients), and BALanSE (balance and quality of life in cancer care).

• Algorithms
• Algorithmics
• Big Data
• +۷ مورد دیگر

Stephen Alstrup is a Professor in the Algorithms and Complexity section at the Department of Computer Science (DIKU), University of Copenhagen, Faculty of Science. His research bridges theoretical computer science with practical applications in modern computational challenges. His primary research interests include: Algorithm design and analysis Graph algorithms and data structures Big Data processing techniques Streaming algorithms and Internet distribution Theoretical foundations with practical implementations Alstrup's work demonstrates how theoretical algorithm research can lead to real-world applications, as evidenced by his development of Octoshape technology for large-scale Internet streaming. His research spans from fundamental theoretical problems to applications in Big Data, cloud computing, and information retrieval systems. He has published extensively with 93 research outputs including journal articles, conference proceedings, and books. His recent work focuses on graph spanners, semantic hashing, recommendation systems, and universal graph structures, showing continued productivity in theoretical computer science. Alstrup actively engages with industry and media, contributing to discussions about Big Data applications, technology innovation, and how businesses can collaborate with universities to access cutting-edge knowledge and funding opportunities. His work has been featured in 10 media contributions discussing practical applications of algorithms in education, municipal IT projects, and business innovation.

• Natural Language Processing
• Machine Learning
• AI Ethics
• +۵ مورد دیگر

Arnav Arora is a PhD Fellow at the Department of Computer Science , University of Copenhagen (DIKU), specializing in Natural Language Processing . His work focuses on ethical AI, bias detection, and societal impacts of language models. Email: aar@di.ku.dk Location: Universitetsparken 1, 2100 København Ø Arnav's research explores fine-grained value alignment in language models, harmful content detection , and cross-cultural differences in AI responses. His work bridges technical NLP advancements with social responsibility, including dual use ethical frameworks and community value analysis . Key publication trends include: 2025: Bias mitigation through BiasGym framework 2024: Factcheck-Bench benchmark development 2023: Thorny Roses dual use analysis 2022: Cross-cultural value probing methods 2020: Multi-hop fact checking systems Arnav contributes to the Software, Data, People & Society (SDPS) section, collaborating with interdisciplinary teams on projects involving language model evaluation and societal impact mitigation . His work often addresses real-world AI deployment challenges through academic-industry partnerships.

Morten Birkvedمشاهده پروفایل

استاد

• Life Cycle Assessment
• Environmental Impact Assessment
• Circular Economy
• +۳ مورد دیگر

Morten Birkved is a Professor at the Department of Green Technology, University of Southern Denmark, and Head of SDU Life Cycle Engineering. He leads the SDU Climate Cluster and actively contributes to research on Life Cycle Assessment (LCA) , Circular Economy , and Environmental Sustainability . His work spans cross-disciplinary collaborations in Denmark and internationally. Education: M.Sc. in Environmental Chemistry, PhD in Sustainable Development His research interests focus on integrating LCA with circular economy principles, analyzing environmental impacts of construction materials, and developing sustainable solutions for agriculture and energy systems. Recent projects include microbial protein production, green fuels in shipping, and biorefineries for organic waste valorization. Recent publications highlight 2025 advancements in: Eco-design strategies for buildings Hybrid wastewater treatment systems Carbon-storing asphalt pavements Comparative LCA of housing typologies These studies emphasize Denmark as a case study region and leverage both parametric and probabilistic modeling approaches. Scientific Awards Recipient of SCC Fast Track Prize (2025) Teaching & Supervision Supervised PhD research on circular agriculture and plastic circularity Lectured on chemical processes and environmental impacts since 2019 Labs & Projects Coordinates EU-funded initiatives like FLAVOURFERM (plant-based fermentation) and AgriLoop (circular agriculture) Develops microbial platforms for waste-to-protein conversion Advances biostimulants for sustainable agriculture