جست‌وجوی استاد و پژوهشگر

Jens Abildskovمشاهده پروفایل

دانشیار

• Thermodynamic Modeling
• Chemical Process Simulation
• Biocatalysis
• +۳ مورد دیگر

Jens Abildskov is an Associate Professor at the Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU). He is affiliated with the KT Consortium PROSYS - Process and Systems Engineering Centre. His research focuses on thermodynamic properties of fluids, chemical process modeling, and simulation, with applications in biocatalysis, mixed solvents, and separation process optimization. Key areas include CO2 capture, biofuel processing, and energy-efficient separation systems. He collaborates extensively on integrating process modeling with control systems. His work aligns with UN Sustainable Development Goals addressing clean energy and responsible consumption. Recent projects include biogas upgrading technologies and open-source simulation tools like CADET-Julia. He supervises multiple PhD students in areas such as carbon capture, process digitalization, and safety engineering. Abildskov leads the PROSYS Centre, emphasizing process systems engineering. His lab develops models for fluid behavior in non-ideal systems, leveraging statistical mechanical methods and molecular correlation functions. He also explores applications in organic rankine cycles and heat integration for energy savings. Publications emphasize practical solutions for industrial challenges, such as solvent systems for CO2 capture and dynamic feeding strategies in separations. His research bridges theoretical and applied aspects of chemical engineering, with a focus on sustainability and innovation.

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.

• Declarative Process Modeling
• Process Mining
• Formal Verification
• +۴ مورد دیگر

Paul Cosma is a Postdoctoral Researcher at the Department of Computer Science (DIKU), University of Copenhagen, specializing in the Software, Data, People & Society (SDPS) section. His work focuses on declarative process modeling, formal verification, and explainable AI systems, with strong connections to process mining and Petri net theory. He completed his PhD at the University of Copenhagen's Faculty of Science in 2024 with a thesis on declarative process models as verifiable AI. His research interests center on declarative process modeling and formal verification of complex systems. Cosma develops techniques for improving model simplicity through nested group discovery and creates frameworks like BERMUDA for participatory mapping of domain activities to event data. His work bridges theoretical computer science with practical applications in business process management and AI explainability, emphasizing human-centered design principles where software systems are developed with societal impact in mind. Cosma's publication record shows a clear trajectory in process modeling research, with recent work focusing on transforming Dynamic Condition Response Graphs to Safe Petri Nets (2023) and improving declarative model simplicity (2024). His research demonstrates strong interdisciplinary connections between formal methods, AI verification, and human-computer interaction, particularly in making complex process models accessible and verifiable. Cosma actively collaborates with researchers including Thomas Hildebrandt, Tijs Slaats, and Axel Christfort, primarily within the SDPS section at DIKU. His work receives consistent citations in process mining literature, with his 2023 PETRI NETS paper accumulating 1 citation and his CAiSE 2024 paper gaining 2 Scopus citations. He maintains an ORCID profile (0000-0001-8022-6402) and contributes to open-access research through the university's Pure repository. Based in Sigurdsgade 41, Copenhagen N, Cosma operates within DIKU's collaborative research environment that emphasizes industry partnerships and interdisciplinary work. His recent PhD defense (June 13, 2024) marks his transition from doctoral candidate to postdoctoral researcher, positioning him to expand his contributions to process-aware information systems and verifiable AI.

Martin Elsmanمشاهده پروفایل

استاد

• Programming Languages
• Theory of Computation
• Functional Programming
• +۵ مورد دیگر

Martin Elsman is a full-time Professor in the Programming Languages and Theory of Computation section at the Department of Computer Science, University of Copenhagen (DIKU). He serves as head of the PLTC section and head of studies for the BSc education in Computer Science and Economics. Elsman is also an active maintainer of several software tools including the MLKit and SMLtoJs. Joined DIKU in 2012 after 4 years at SimCorp (2008-2012) and previous Associate Professorship at IT University of Copenhagen (2003-2008). Co-developer of Futhark, TAIL APL compiler, SMLtoJs, and SMLserver. Education: M.Sc. in Engineering, Technical University of Denmark Ph.D. in Computer Science, University of Copenhagen (DIKU), supervised by Mads Tofte. Research Interests: Elsman works on programming language design and implementation, with a focus on functional programming, module systems, domain-specific languages for financial contracts, region-based memory management, compilation techniques for parallelism, program optimization, and static type systems. His work spans both theoretical and applied domains, including blockchain-based financial contract execution, web technology, and GPU programming using functional languages. Publication Trends: His recent articles focus on functional programming, array programming, parallelism, and memory management. Topics include region inference, type systems for data-parallelism, program optimization techniques, and domain-specific compilation for financial and quantum computing. He frequently collaborates with Troels Henriksen and others on tools like Futhark and MLKit.

• Computer Science
• Machine Learning
• Algorithms
• +۳ مورد دیگر

Kristian Vium Lind is a Lecturer in the Department of Computer Science at the University of Copenhagen. Contact: krli@di.ku.dk

Jens Myrup Pedersenمشاهده پروفایل

استاد

• Cybersecurity
• Network Security
• Machine Learning
• +۵ مورد دیگر

Jens Myrup Pedersen is a Professor at Aalborg University's Department of Electronic Systems within The Technical Faculty of IT and Design. He is affiliated with the Cyber Security Group and focuses on improving digital wellbeing through cybersecurity research. His primary research interests include botnets, network security, machine learning applications in cybersecurity, and cybersecurity education. He leads or participates in projects such as Cyber Safe Robotics , AI:SECURITY , and GAMESS , addressing topics like AI-driven security, gamification in education, and secure software development. Pedersen has contributed to over 235 publications since 2003, emphasizing cybersecurity threats, network analysis, and educational methodologies. His work extends to cybersecurity training platforms like Haaukins and The Privacy Universe , designed to enhance user awareness through gamification. Pedersen collaborates internationally, engaging in initiatives like the European Cyber Security Challenge and cybersecurity hackathons. He holds roles in professional organizations such as the Danish Cybersecurity Board and the IDA association. Recent research highlights include NLP security ethics, OT cyber resilience, and cryptocurrency forecasting tools. His projects often bridge academia and industry, focusing on real-world impact through student-driven projects and cross-disciplinary collaborations.

Frederik Marinus Trudslevمشاهده پروفایل

پژوهشگر ارشد

• Privacy Metrics
• Synthetic Data Generation
• Metagenomics
• +۳ مورد دیگر

Frederik Marinus Trudslev is a PhD Fellow at the Department of Computer Science, The Technical Faculty of IT and Design, Aalborg University, Denmark, focusing on critical challenges at the intersection of data privacy and bioinformatics. His research bridges computer science and computational biology through innovative work in synthetic data generation and genomic analysis. Trudslev's primary research domains include privacy-preserving synthetic data, where he develops rigorous metrics and evaluation frameworks to balance data utility with individual privacy protection. In bioinformatics, he pioneers ensemble methods for metagenomic binning, significantly improving microbial genome reconstruction from complex environmental samples through advanced clustering techniques. His 2023-2025 publications reveal a strategic pivot toward privacy-enhancing technologies, evolving from metagenomic binning (BinChill, 2023) to comprehensive privacy metric frameworks (2025 review) and practical evaluation tools (PrivEval, 2025). This progression demonstrates increasing specialization in synthetic data validation while maintaining cross-disciplinary relevance. As a key participant in the HEREDITARY project (2024-2027) on gut-brain interplay data integration, Trudslev collaborates with international researchers including Dell'Aglio and Lissandrini. Though no student advising is documented, his project leadership in this major EU-funded initiative highlights significant research impact. His work shows strong potential for future applications in healthcare data sharing and microbiome research.

Markus Strohmaierمشاهده پروفایل

استاد

• Computational Social Science
• Data Science
• Machine Learning
• +۷ مورد دیگر

Markus Strohmaier is Professor and Chair of Data Science in the Economic and Social Sciences at the University of Mannheim, with affiliations as Scientific Coordinator at GESIS – Leibniz Institute for the Social Sciences and External Faculty Member at the Complexity Science Hub Vienna. His interdisciplinary work bridges computer science, economics, and the social sciences. University of Mannheim – Chair for Data Science in the Economic and Social Sciences GESIS – Scientific Coordinator for Digital Behavioral Data Complexity Science Hub Vienna – External Faculty Former Professor at RWTH Aachen University and University of Koblenz-Landau Previous Post-Doc and Visiting Roles at Stanford University, Xerox PARC, University of Toronto, and Graz University of Technology His research focuses on computational social science , algorithmic fairness , network science , and the modeling of human behavior using machine learning and large-scale data. He develops methods to analyze textual, relational, and emerging data types to understand socioeconomic systems and digital societies. The recent articles reflect a strong trend in studying inequality in algorithmic systems , governance in decentralized organizations (DAOs) , and psychological profiling of AI . His work spans high-impact journals like Nature and Scientific Reports , emphasizing fairness, transparency, and societal impact of data-driven technologies. Notable scientific contributions include: Editor-in-Chief of EPJ Data Science (2018–2022) Founding co-chair of the Computational Social Science section of the German Informatics Society He advises students and leads research projects on algorithmic fairness, digital governance, and behavioral modeling. His team engages in both fundamental methodological development and applied studies in real-world digital platforms. He has been involved in significant grants and collaborative initiatives around digital behavioral data and computational social science infrastructure. His lab and projects include the Algorithmic Fairness initiative and the interactive visualization tool Planets of Disparity , which explores how algorithms behave on different network structures. These efforts aim to enhance public understanding and technical scrutiny of algorithmic systems.

• Distributed Systems
• Embedded Systems
• Real-Time Systems
• +۳ مورد دیگر

Brian Nielsen is an Associate Professor at Aalborg University's Department of Computer Science, under The Technical Faculty of IT and Design. His research focuses on Distributed Systems, Embedded Systems, Real-Time Systems, Model Checking, IoT Networks, and Autonomous Vehicles. He has been actively involved in projects such as domOS (operating system for smart buildings), FED (Flexible Energy Denmark), and compositional verification of multicore avionics systems. His work emphasizes model-based validation, formal methods, and industrial applications, particularly in safety-critical systems. Recent research highlights include energy-efficient motion planning for autonomous vehicles, comparative analysis of network simulators, and sigfox-based IoT modeling. He has received awards including the Application Coordinator Pool and START funds (both in 2007). Key Projects: domOS, FED, compositional verification of multicore systems Grants: Multiple EU-funded projects (e.g., Horizon Europe) and industry collaborations Awards: Application Coordinator Pool (2007), START funds (2007) His publications span over 80 articles, with a focus on real-time systems, IoT interoperability, and model-driven development. He has advised two PhD students and has been actively involved in organizing international conferences and workshops.

Peter Høgh Mikkelsenمشاهده پروفایل

دانشیار

• Digital Twins
• Cooperative Systems
• Software Engineering
• +۳ مورد دیگر

Peter Høgh Mikkelsen is an Associate Professor at the Department of Electrical and Computer Engineering, Aarhus University. His research focuses on digital twins, cooperative systems, and wearable technology. Research Interests: Digital twin architecture, model composition, behavioral modeling, and integration with IoT and e-textiles. Publications: Recent work includes composable digital twins, open-source frameworks, and innovations in dry electrode technology for medical wearables. Contact: phm@ece.au.dk , +45 41 89 32 45

• Science and Technology Studies
• Digital Methods
• Generative AI for Social Research
• +۵ مورد دیگر

Anders Kristian Munk is a Professor at DTU Management, Technical University of Denmark, based in the Department of Technology, Management and Economics within the Division for Technology and Business Studies. His research focuses on the critical intersection of technology and society through Science and Technology Studies (STS) and advanced digital methodologies. His primary research domains include: Generative AI integration in social research Digital methods development (notably data sprints) Controversy mapping of sociotechnical issues Computational ethnography and network analysis Critical examination of data imaginaries Urban studies through computational visual methods Recent publications (2023-2025) demonstrate a strategic pivot toward generative AI applications, with significant contributions in developing AI-native research frameworks like synthetic interlocutors and irreductionist mapping. His work uniquely bridges STS theory with practical tool development, exemplified by Gephisto for critical network analysis. Key application areas span public health (e.g., inflammatory bowel disease trend analysis in Africa), cultural industries (film audience analytics), and urban studies (pandemic place attachments). Prof. Munk co-developed the data sprint methodology for collaborative controversy mapping and has contributed to major projects including Climaps and EMAPS. His interdisciplinary approach combines social science rigor with computational innovation through partnerships across computer science, design, and domain-specific fields. Current work emphasizes ethical AI integration and methodological adaptation for complex sociotechnical challenges.

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 .

Marina Bergen Jensenمشاهده پروفایل

استاد

• Climate Change Adaptation
• Nature-Based Solutions
• Urban Water Management
• +۶ مورد دیگر

Marina Bergen Jensen is a Professor in the Department of Geosciences and Natural Resource Management at the University of Copenhagen, specializing in climate-adaptive urban landscape design. Holding a PhD in Soil Science (1998), she has pioneered nature-based solutions for stormwater management and urban biodiversity since joining the university in 2003, becoming a full Professor in 2011. Education: PhD in Soil Science (1994-1998), Royal Veterinary & Agricultural University, Denmark Research Focus: Jensen's work centers on Climate Change Adaptation through innovations like dual porosity filtration technology, bio-SUDS (biodiversity-integrated stormwater systems), and green climate-screens. Her interdisciplinary approach bridges environmental science, engineering, and urban planning to create resilient cities with enhanced ecosystem services. Publication Trends: Recent work (2023-2025) emphasizes GIS-based flood screening, urban ecosystem service quantification, chemical sensitivity-informed design, and heritage-integrated greening. Key themes include sustainable drainage in dense urban areas, biodiversity enhancement through landscaping, and climate-resilient urban transitions across Global North and South contexts. Advising & Funding: She currently supervises 11 PhD students and has mentored over 20 graduates. As principal investigator, she secured DKK 30 million for major projects including the 'Water in Urban Areas' Strategic Partnership (150+ partners), 'Cities in Water Balance' Innovation Consortium, and 'Water Resilient Cities for Africa' Danida project. Professional Networks: Jensen founded the nationwide knowledge-sharing network 'vandibyer.dk' (www.vandibyer.dk) in 2010, now with 150+ industry, government, and academic partners, and serves on committees for the Danish Ministry of Environment and Capital Region of Denmark.

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.

• 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.