جست‌وجوی استاد و پژوهشگر

• Jurisprudence
• Legal Philosophy
• Human Rights
• +۶ مورد دیگر

Henrik Palmer Olsen is a Professor of Jurisprudence at the Faculty of Law, University of Copenhagen (UCPH), where he has been a central figure since earning his Cand.jur. in 1993. He is a co-founder and member of the Centre of Excellence for International Courts and Governance (iCourts), a leading research center in global legal studies. His academic leadership includes serving as Associate Dean for Research and Head of the PhD School at UCPH. Education: Dr.jur. (2005), Faculty of Law, University of Copenhagen PhD (1997), Faculty of Law, University of Copenhagen MA in Socio-Legal Studies (1994), University of Sheffield Cand.jur. (1993), Faculty of Law, University of Copenhagen Henrik Palmer Olsen's research lies at the intersection of legal philosophy, human rights, and international courts, with a growing emphasis on data science applied to legal analysis. His work explores the theoretical foundations of law, judicial legitimacy, and the methodological evolution of legal scholarship. He has pioneered the integration of quantitative methods—such as citation network analysis and corpus linguistics—into doctrinal legal studies, bridging traditional and computational approaches. His recent publications reflect a consistent trajectory in analyzing international courts, legal diplomacy, and legal methodology. Works like 'Can quantitative methods complement doctrinal legal studies?' and 'Providing Legal Pincite Recommendations using Language Representations' illustrate his innovative approach, combining jurisprudence with AI and data-driven legal research. This positions him at the forefront of the digital transformation in legal science. Scientific Engagement: Speaker, Regulating “AI” in the EU: The “Artificial Intelligence Act” (2021) Speaker, EURECO Distinguished Lecture Series (2010) Lecturer, Bristol Law School Annual Jurisprudence Lecture (2010) Olsen has held major research management roles, including co-founding the Center for Studies in Legal Culture and leading the PhD school at UCPH. He has secured recognition through extensive research output and collaborations across Europe. His work is referenced in academic databases, Mendeley, and multiple Wikipedia pages, indicating broad scholarly impact. He is actively involved in shaping legal education, particularly through his textbook on legal methodology. He is associated with research environments such as the Nordic Asylum Law & Data Lab and maintains strong international networks, especially in EU legal studies and global mobility law. His multilingual abilities (Danish, English, French) support his transnational academic engagement.

• Machine Learning
• Information Retrieval
• Medical Data Analysis
• +۳ مورد دیگر

Ingemar Johansson Cox serves as a Professor within the Machine Learning section at the Department of Computer Science, University of Copenhagen. His research bridges theoretical machine learning foundations with practical applications across medical data analysis, information retrieval, remote sensing, and sustainability initiatives. His research portfolio emphasizes machine learning applications in high-impact domains, particularly medical data analysis (e.g., early detection of gynecological malignancy using online search activity) and sustainability (e.g., reducing AI's carbon footprint). The Machine Learning section actively contributes to the university's SCIENCE AI Centre, focusing on both algorithmic innovation and real-world problem-solving in biological modeling and environmental monitoring. Recent publication trends reveal expanding work in quantum computing applications for biomolecular modeling, sustainable AI frameworks, and cross-cultural NLP systems. His 2024-2025 output demonstrates strong interdisciplinary collaboration, especially in medical informatics and climate-related AI research. Professor Cox operates within the Department of Computer Science's robust research ecosystem, which includes dedicated compute clusters and specialized initiatives like TreeSense for global tree resource monitoring through remote sensing and deep learning. The department's infrastructure supports large-scale machine learning projects requiring significant computational resources.

Alvaro Torralbaمشاهده پروفایل

دانشیار

• Symbolic Search
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Alvaro Torralba 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 symbolic search, heuristic functions, and planning algorithms within artificial intelligence and machine learning. Notable projects include the ConAn initiative exploring contrastive analysis for state-space exploration. He has contributed extensively to classical planning, probabilistic planning, and automated planning competitions, earning awards such as the First Prize in the Agile Track of the 10th International Planning Competition (IPC’23). His work often bridges theoretical advancements with practical applications, including game-based network update synthesis and believable non-player character development. Research outputs include over 60 publications since 2011, with a focus on optimizing search algorithms and enhancing planning efficiency through techniques like operator-potential heuristics and bidirectional search strategies. His scientific contributions span algorithmic innovation, verification methodologies, and large-scale abstraction evaluation. Collaborations and datasets include foundational work on PDDL generators and pattern databases, with open-access resources available via Zenodo. As a program committee member and award-winning researcher, Torralba actively contributes to advancing the frontiers of AI planning and decision-making systems.

Leon Derczynskiمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Misinformation Detection
• +۳ مورد دیگر

Leon Derczynski is an Associate Professor of Computer Science at the IT University of Copenhagen , with a dual role as Principal Research Scientist/LLMSEC at NVIDIA . He leads the Strømberg NLP research group and coordinates NLP South at ITU, while also being affiliated with the Machine Learning group. Specializes in Natural Language Processing , Machine Learning , and LLM security Focus on Misinformation detection , Clinical text mining , and Danish language technology Research grants include Verif-AI (2.9M DKK), ClinRead (544K DKK), and LITHME (EU COST action, €11K). He has coordinated major projects like COMRADES and PHEME , and contributed to uComp and TrendMiner . Scientific recognition includes the University of Sheffield Exceptional Contribution Award (twice), WEBIST Best Student Paper award , and FP7 funding . His technical work includes the garak.ai LLM vulnerability scanner and generalised-brown clustering library. Actively supervises students and maintains numerous GitHub repositories (86 public projects) related to NLP, machine learning, and computational linguistics. He has delivered keynotes and guest lectures , including at Innopolis University (Russia) and PET (Danish Security and Intelligence Service).

Tara Maria Bolandمشاهده پروفایل

پژوهشگر ارشد

• Computational Materials Science
• Materials Discovery
• Database Integration
• +۳ مورد دیگر

Tara Maria Boland is a Postdoc in the Department of Physics at the Technical University of Denmark, specializing in Computational Atomic-scale Materials Design. She maintains an active research profile with significant contributions to materials science infrastructure. Her research spans critical areas of modern computational science: Computational Materials Science and Atomic-scale Modeling Materials Discovery and Design Database Integration and Data Exchange Systems API Development for Scientific Applications 2D Materials and Heterostructures Machine Learning Applications in Materials Science Boland's publication record reveals a dual focus on fundamental materials research and practical computational tools. Her work on the OPTIMADE API has established new standards for materials data exchange, while her contributions to GPAW provide essential infrastructure for electronic structure calculations. The research demonstrates strong international collaboration across 10+ institutions with notable media coverage. As part of DTU Physics' Computational Atomic-scale Materials Design group, Boland collaborates extensively on projects advancing computational methodologies for materials science, with particular emphasis on creating accessible research infrastructure for the global community.

• Institutions
• Inequality
• Mozambique
• +۳ مورد دیگر

Ines Afonso Roque Ferreira is an external researcher at the Department of Economics, Faculty of Social Sciences, University of Copenhagen. She holds a PhD in International Development from the University of East Anglia. PhD: International Development (University of East Anglia, UK) Affiliation: University of Copenhagen Academic Rank: Researcher Her research focuses on institutions and inequality in Mozambique, with a cross-country comparative interest in Vietnam. She examines inequality trends, socio-economic outcomes, governance frameworks, and the impact of foreign aid on fragile states. Her methodology includes experimental economics and multidimensional analysis of institutional data. Recent publications highlight her expertise in analyzing inequality perceptions, redistribution preferences, and institutional diagnostics in Mozambique. Collaborations with F. Tarp, R. Gisselquist, and A. Cruz underscore her multidisciplinary approach to development economics. Email: if@econ.ku.dk

Andreas Pavlogiannisمشاهده پروفایل

دانشیار

• formal methods
• algorithmic verification
• automata theory
• +۶ مورد دیگر

Andreas Pavlogiannis is an Associate Professor in the Department of Computer Science at Aarhus University. His research focuses on formal methods , algorithmic verification , automata theory , concurrency , static and dynamic program analysis , network diffusion , evolutionary graph theory , and evolutionary game theory . Teaching courses: Programming Languages (Bachelor) , Algorithmic Model Checking (Master) , and Program Analysis (Master) Service: Program committee member for POPL, ESOP, AAAI, IJCAI, CONCUR, OOPSLA, and organizer of CONFEST'25 His research has been supported by the Austrian Science Fund (FWF), VILLUM Foundation, Stibo Foundation, and Danish Council for Independent Research (DFF). He is actively recruiting PhD and PostDoc researchers. Recent publications span quantum computing , concurrent systems , evolutionary dynamics , and network science , with particular emphasis on symbolic algorithms , dynamic analysis , and graph-based models .

Marie-Louise Kampmannمشاهده پروفایل

پژوهشگر

• Genetics
• Epigenetics
• DNA Sequencing
• +۵ مورد دیگر

Marie-Louise Kampmann serves as a Researcher and Special Consultant in the Section of Forensic Genetics at the Faculty of Health and Medical Sciences, University of Copenhagen. Her research focuses on advanced DNA sequencing methodologies and their forensic applications, with expertise in next-generation sequencing and epigenetic analysis. Her educational background includes: PhD in Molecular techniques for characterisation of pathogens from Centre for GeoGenetics, University of Copenhagen (2013) Master of Science in Engineering in Biotechnology with medical microbiology specialization from Technical University of Denmark (2010) Master of Science in Life Sciences from Technical University of Delft, Netherlands (2009) Bachelor of Science in Engineering in Biotechnology from Technical University of Denmark (2008) Dr. Kampmann specializes in sequencing methods including NGS, SGS, MPS, and HTS, with particular expertise in epigenetics and molecular capture techniques for analyzing minute DNA/RNA quantities. Her work bridges forensic science, genetics, and molecular biology, developing methods to isolate target DNA from complex mixtures. Analysis of her publication record reveals a strong trend toward methodological development for forensic DNA analysis, with recent work focusing on validation protocols, epigenetic biomarkers, and applications of NGS in challenging sample types. Her research spans forensic identification, relationship testing, wildlife disease monitoring, and epigenetic age estimation. Dr. Kampmann remains actively engaged in academic discourse, presenting on shotgun sequencing analyses and CpG methylation panels for age estimation in 2024. Her research has garnered attention across multiple platforms, with work referenced in patents and covered by news outlets.

David Jakobsenمشاهده پروفایل

دانشیار

• Logic
• Tense Logic
• Philosophy of Time
• +۹ مورد دیگر

David Jakobsen is an Associate Professor in the Department of Communication and Psychology at Aalborg University, Faculty of Social Sciences and Humanities. His work bridges logic, philosophy, and digital technology, with a focus on tense logic and its applications in artificial intelligence and critical thinking. He is affiliated with several research groups, including the Purposeful Technology Lab, The Logic of Time and Modality, Tid, Eksistens og Naturforbundethed, and InDiMedia (Centre for Interactive Digital Media & Experience Design). His research interests include tense logic, the philosophy of time, Arthur Norman Prior’s legacy, metaphysics, philosophical theology, and the use of generative AI in education and reasoning. Jakobsen co-leads the Arthur Norman Prior Archive, preserving and analyzing the work of the foundational figure in tense logic. Recent publications show a strong trend toward integrating AI with human reasoning, particularly in educational contexts, examining how systems can support critical thinking. His work spans formal logic, philosophy, theology, and digital learning environments, reflecting a deeply interdisciplinary approach. Scientific Awards: Best Paper Award (25 Nov 2020) – shared with Peter Øhrstrøm, Thomas Ploug, Stine Thorvaldsen, and Ulrik Sandborg-Petersen He has been involved in research projects such as 'Educational and Entrepreneurial co-operation in Future City' (2021–2023) and 'Building Educational Co-operation in Smart City' (2018–2019), focusing on innovation in education and smart urban development. Jakobsen has advised and collaborated on educational initiatives, though no formal students are listed. He has organized and presented at academic conferences and contributed to public discourse through media engagement on topics including technology, religion, and societal development. He is active in multiple labs and research centers, particularly those exploring digital media, time logic, and human-centered technology.

Axel Polleresمشاهده پروفایل

استاد

• Semantic Web
• Knowledge Engineering
• Data Management
• +۱۲ مورد دیگر

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.

Torben Bach Pedersenمشاهده پروفایل

استاد

• Data Engineering
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Professor Torben Bach Pedersen at Aalborg University's Department of Computer Science within The Technical Faculty of IT and Design is a leading expert in Data Engineering, Artificial Intelligence, and Energy Systems. With over 394 publications and 19 completed projects, he directs research at the Daisy – Center for Data-intensive Systems and leads innovations in energy flexibility and smart grid technologies. Key research areas: Data Warehousing, AI/ML, Energy Systems, Smart Grids Major projects: domOS (Smart Building OS), FEVER (Virtual Power Plants), DiCyPS (Cyber-Physical Systems) His research spans data-intensive systems, AI applications in energy management, and smart infrastructure development. Recent work focuses on transformer-based network AI and energy flexibility metrics. Scientific recognition includes: Æresdoktor (Honorary Doctor) at TU Dresden (2021) Best Paper Award Runner-Up (2019) WWW 2017 Best Demo Award Best Poster Award World Smart Grid Forum (2013) Member of Danish Academy of Technical Sciences (2013) As principal investigator and supervisor in 17 PhD projects, he advances AI-driven solutions for 6G wireless systems, smart buildings, and energy market optimization.

Vilhjálmur Nielsenمشاهده پروفایل

پژوهشگر

• Building Physics
• Energy Systems
• District Heating
• +۷ مورد دیگر

Vilhjálmur Nielsen is a Researcher in the Department of Civil and Mechanical Engineering Energy and Services at the Technical University of Denmark (DTU). His work focuses on sustainable building technologies, energy systems, and renewable energy applications, with particular expertise in building physics and heat transfer systems for extreme environments including Arctic regions. Nielsen holds a Ph.D. in Engineering from DTU (1994-1998) and an MSc in Engineering from DTU (1988-1994). His multilingual capabilities in Faroese, Danish, English, and Norwegian/Swedish support his international research collaborations, particularly in Nordic and Arctic contexts. His research spans building physics, energy systems, district heating, sustainable building design, heat exchangers, renewable energy, Arctic building construction, and energy efficiency. Nielsen's work addresses practical engineering challenges in sustainable building technologies, with special attention to water-energy nexus solutions like rainwater harvesting for cooling systems and geothermal applications through borehole heat exchangers. Analysis of Nielsen's publications reveals a consistent focus on practical applications of sustainable energy technologies in buildings across different climates. His work bridges fundamental heat transfer research with applied projects addressing specific building challenges, showing particular expertise in adapting energy systems to extreme environments like the Arctic and the Faroe Islands. Arctic Building and Construction project (2018-2026) - researching sustainable architecture in Greenland and Arctic conditions Mapping of energy consumption in Faroese building types (2021-2024) - as Project Manager Heat 4.0 Digitally supported District Heating (2019-2022) - contributing to energy systems research SCA: Smart Cities Accelerator (2017-2020) - participating in smart city initiatives Nielsen's research directly contributes to UN Sustainable Development Goals related to sustainable cities and communities (SDG 11), affordable and clean energy (SDG 7), and climate action (SDG 13), with practical applications for reducing carbon emissions in building sectors across challenging environments.

Sidharth Jayachandranمشاهده پروفایل

پژوهشگر ارشد

• Natural Products
• Advanced Biofuels
• Bioproducts
• +۶ مورد دیگر

Sidharth Jayachandran is a Research Fellow at the Novo Nordisk Foundation Center for Biosustainability under Technical University of Denmark (DTU) , specializing in the DTU Microbes Initiative and Yeast Natural Products department. His academic career includes a PhD (2022–2025) focused on engineering Yarrowia lipolytica for plant triterpenoid production. His research interests span Natural Products , Advanced Biofuels , Biosynthetic Gene Clusters , Polyketide Synthases , and Terpenoids . Recent publications highlight his work in bioinformatics-driven curation of biosynthetic pathways, microbial engineering for sustainable bioproducts, and heterologous expression systems. Notable collaborations include partnerships with Pablo Cruz-Morales , Jay Keasling , and Irina Borodina . His work contributes to UN Sustainable Development Goals (SDGs), particularly Responsible Consumption and Production and Climate Action , through innovations in biofuel and bioproduct sustainability.

Naohiro Okadaمشاهده پروفایل

دانشیار

• Neuroimaging
• Psychiatric Disorders
• Adolescent Development
• +۷ مورد دیگر

Naohiro Okada is an Associate Professor at the Graduate School of Medicine, Department of Psychiatry, The University of Tokyo, and concurrently serves as an Associate Professor at the International Research Center for Neurointelligence (IRCN). He is also the Core Manager of the Human fMRI Core facility. Dr. Okada has extensive experience in neuroimaging research, particularly focusing on psychiatric disorders and adolescent brain development. Dr. Okada obtained his M.D. from the University of Tokyo Faculty of Medicine in 2004. After completing his residency, he began psychiatry training at the University of Tokyo Hospital in 2006 and worked as a psychiatrist at Tokyo Metropolitan Matsuzawa Hospital from 2007 to 2012. He earned his Ph.D. from the Graduate School of Medicine, University of Tokyo in 2017, and joined IRCN in 2019 where he manages the human fMRI scanner facility. His research primarily focuses on using functional magnetic resonance imaging (fMRI) to understand brain structure and function in healthy adolescents and patients with psychiatric disorders. Dr. Okada's work aims to elucidate the neurobiological substrates of psychiatric disorders and develop biomarkers for clinical applications. He has published extensively on topics including schizophrenia, autism spectrum disorder, depression, and adolescent brain development, with a particular emphasis on multi-site collaborative studies and data-driven approaches to psychiatric classification. Dr. Okada's recent publications demonstrate a strong focus on developing novel diagnostic classifications based on neuroimaging data, investigating resting-state neural signatures across psychiatric disorders, and establishing robust infrastructure for multi-center MRI research. His work bridges human and animal research while incorporating machine learning and AI techniques to advance the field of psychiatric neuroimaging. Dr. Okada is actively involved in several research projects funded by the Japan Society for the Promotion of Science, including the Advanced Bioimaging Support Platform (2022-2028), MRS analysis of basal ganglia GABA dysfunction in schizophrenia (2021-2025), and studies on dose reduction and brain function changes in schizophrenia patients (2018-2022). He is a member of the Society for Neuroscience and the Japanese Society of Biological Psychiatry, reflecting his commitment to advancing neuroscience research and its applications in understanding and treating psychiatric disorders.

Petra Hermankovaمشاهده پروفایل

استادیار

• Digital Epigraphy
• Greek Epigraphy
• Latin Epigraphy
• +۵ مورد دیگر

Petra Hermankova serves as an Assistant Professor in Classical Archaeology at Aarhus University's School of Culture and Society, where she also contributes to the Social Resilience Lab. Her academic appointment is active with ongoing projects through 2025 and recent publications in 2025 confirm her current faculty status. Her research focuses on digital epigraphy and the application of computational methods to ancient inscriptions. She employs text mining, machine learning, and social network analysis to study inscription functions across Graeco-Roman societies, economic history patterns, and labor specialization. Her work emphasizes FAIR and Open Science principles in archaeological data management, particularly through leadership in the Epigraphy.info initiative which develops international standards for digital epigraphy. Hermankova's publication trends reveal increasing engagement with computational approaches to ancient social networks and epigraphic big data , with recent work integrating SPARQL querying, RDF modeling, and network visualization techniques. Her research bridges traditional archaeological methods with cutting-edge digital humanities tools, focusing on Mediterranean communities from Thrace to the Roman Empire. She actively participates in major collaborative projects including The Past Social Networks Project (Carlsberg Foundation, 2022-2025), PPAP: Perachora Peninsula Archaeological Project (2019-2024), and SDAM: Small data - Big Challenges (2019-2023). Hermankova regularly organizes international workshops through Epigraphy.info and teaches practical courses in digital epigraphy methodology.