جست‌وجوی استاد و پژوهشگر

Agnieszka Radziwonمشاهده پروفایل

دانشیار

• Open Innovation
• Innovation Management
• Business Ecosystems
• +۵ مورد دیگر

Agnieszka Radziwon is an Associate Professor at the Department of Business and Sustainability, University of Southern Denmark, specializing in Open Innovation, SME ecosystems, and digital transformation. Her research explores interorganizational collaboration, blockchain applications, and sustainable innovation. Current external position: Research Fellow at University of California, Berkeley Key projects: EU-funded EINST4INE (2020-2024) Active in 32 professional activities including conferences, workshops, and doctoral consortiums Her work focuses on: Open Innovation in SMEs and regional ecosystems Blockchain technology in governance and voting systems Smart factories and manufacturing collaboration Responsible digital transformation for societal impact Scientific honors include the FESTO Prize for Young Researchers and Scientists (2013) . Recent publications address blockchain stigma, collaborative innovation in wind energy, predictive tools for technology ecosystems, and rural-urban food procurement cooperation.

Henrik Madsenمشاهده پروفایل

استاد

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

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

Toine Bogersمشاهده پروفایل

مدرس پاره‌وقت

• Recommender Systems
• Information Retrieval
• Search Engines
• +۸ مورد دیگر

Toine Bogers is a Part-Time Lecturer at Aalborg University , affiliated with the Department of Communication and Psychology within the Faculty of Social Sciences and Humanities . He is a core member of the AI for the People research group. His work focuses on Recommender Systems , Information Retrieval , and Social Media Analysis , with particular emphasis on applications in talent search, leisure information needs, and multistakeholder evaluation. Research Interests: Recommender systems, information seeking behavior, collaborative filtering, human resources algorithms, and ethical evaluation frameworks. His work bridges technical innovation with societal impact, often addressing challenges in job matching, cultural heritage retrieval, and user-centric design. Awards: Best Paper Award at CHIIR 2021 Outstanding PC Member (2020) Best Reviewer (2020, 2018, and multiple years) Grants & Projects: PI of JobMatch (2020–2023): Developing job recommendation systems for unemployed individuals Co-PI of Flipping Information Studies (2017–2019): Integrating video lectures into problem-based learning Organized workshops at RecSys on topics like Recommender Systems in HR and ComplexEnvironments Labs/Teams: He leads research in the AI for the People group, emphasizing human-centered AI applications in recruitment, cultural heritage, and social media analysis.

Henning Tangen Søgaardمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Agricultural Engineering
• Control Systems
• +۴ مورد دیگر

Henning Tangen Søgaard is an Associate Professor at the Department of Mechanical and Production Engineering, part of AU Engineering at Aarhus University. He teaches mathematics, numerical methods, and mathematical statistics to BEng students. His research focuses on robotics in agriculture , dynamic modeling , and precision agriculture . Primary Affiliation: Department of Mechanical and Production Engineering, AU Engineering, Aarhus University Research Expertise: Computer vision, control systems for agricultural robotics, environmental modeling (ammonia emissions, spray drift), and wireless sensor networks. His work includes developing autonomous systems for weed control, GPS-based geo-referencing of crops, and mathematical models for fertilizer-related emissions. Publications span peer-reviewed journals and reports in agricultural engineering , robotics , and environmental science . Scientific awards are not mentioned in the provided text. He has no listed PhD students but has collaborated on multiple projects. For direct contact, his email is hts@mpe.au.dk .

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.

• 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.

• Multimodal Learning Analytics
• Human-Computer Interaction
• Computational Thinking
• +۳ مورد دیگر

Daniel Spikol is an Associate Professor at the Department of Computer Science , University of Copenhagen , affiliated with the Center for Digital Education and Human-Centred Computing section. His research focuses on multimodal learning analytics, computational thinking, and physical computing technologies that enhance learning, play, and reflection. Keywords: Learning Analytics, Human-Computer Interaction, Computational Thinking His recent work examines: Collaborative task design impacts on knowledge construction AI trust dynamics in educational contexts across six countries Smart learning environment integration with MMLA Design frameworks for multimodal analytics systems Key publications (2023-2025) analyze: Cultural factors in AI adoption Collaborative learning metrics Speech analytics for language acquisition He leads research bridging ambient computing, social signal processing, and educational innovation through physical computing toolkits like Talkoo (2016) and mBox (2024).

Anna Rogersمشاهده پروفایل

دانشیار

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Anna Rogers is an Associate Professor of Data Science at the IT-University of Copenhagen , affiliated with the NLPnorth research group. Her work focuses on Natural Language Processing (NLP) , Artificial Intelligence , and Large Language Models (LLMs) , with a particular emphasis on ethical data use, peer review innovation, and transformer model analysis. She leads projects addressing AI transparency, medical QA hallucinations, and generative AI applications. Her research explores topics including: LLM behavior and evaluation Data governance in NLP Peer review systems optimization Transformer model robustness Medical AI applications Key Projects : PlagAIrism : Tracking LLM training data origins Pioneer Centre for AI : Pre-registered replication studies TinyGPT : Efficient NLP models AIInterviewer : Large-scale qualitative data collection Publications span ACL , EMNLP , and specialized NLP workshops, addressing topics from BERT analysis to AI content farms.

Anders Sørensenمشاهده پروفایل

استاد

• Economics of Innovation and Entrepreneurship
• Human Capital
• Firm Performance
• +۳ مورد دیگر

Anders Sørensen is a Professor of Empirical Economics at the Department of Economics, Copenhagen Business School (2006–present), and Director of CBS’s Center for Innovation. He holds an MSc from Aarhus University (1993) and a PhD from Copenhagen Business School (1997). Previously, he served as Assistant Professor at Johns Hopkins University (2002–2004) and Associate Professor at CBS (2004–2005). His research focuses on Economics of Innovation and Entrepreneurship, Human Capital, and Firm Performance. He has contributed to influential studies on automation’s impact on productivity, serial entrepreneurship success, and the role of education in innovation. He has advised the Danish Productivity Commission (2012–2014) and engages in policy-oriented research on productivity, innovation strategies, and labor market dynamics. Education: MSc in Economics (Aarhus University, 1993); PhD (Copenhagen Business School, 1997) His research interests emphasize empirical analysis of innovation drivers, entrepreneurial behavior, and human capital’s role in firm performance. He has published widely on topics like automation’s cross-country effects, educational composition’s impact on innovation, and serial entrepreneurs’ productivity advantages. His work bridges theoretical frameworks with policy relevance, particularly in global competitiveness and labor market transformations. Recent articles highlight trends in automation and productivity comparisons, education’s role in overcoming innovation barriers, and serial entrepreneurship’s economic contributions. His research underscores the interplay between innovation, human capital, and institutional frameworks. As a policy advisor, he has contributed to Denmark’s productivity discussions. His academic leadership includes directing CBS’s innovation center and collaborating on projects like the socioeconomic impact of research-based education and digitalization’s labor market effects.

• Artificial Intelligence
• Machine Learning
• Data Science
• +۴ مورد دیگر

Jens Ulrik Hansen is an Associate Professor at Roskilde University's Department of People and Technology. His work bridges artificial intelligence, data science, and social epistemology. He holds a PhD and MSc, and his research focuses on explainable AI, machine learning applications in healthcare, social network dynamics, and logical frameworks for multi-agent systems. Hansen participates in interdisciplinary projects like #echopol (studying social media polarization) and ROROGREEN (digital innovation in maritime shipping). He has published widely on topics including AI ethics, expert knowledge integration in ML systems, and opinion dynamics in social networks. Research Interests: Artificial Intelligence & Machine Learning Data Science & Big Data Analysis Explainable AI Social Network Analysis Formal Epistemology Key Projects: #echopol: Echo chambers and polarization dynamics ROROGREEN: Green RORO shipping innovations FeedbackBox: Collaborative workshop methodologies Awards: No specific prizes listed, though his work has received media attention for innovations in AI research and healthcare applications.

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.

Dimitris Chrysostomouمشاهده پروفایل

دانشیار

• Robotics
• Computer Vision
• Human-Robot Interaction
• +۴ مورد دیگر

Dimitris Chrysostomou is an Associate Professor in the Department of Materials and Production at Aalborg University, Denmark. He leads the Robotics & Automation Group and directs the AI:Cybernetics Lab. His work focuses on developing safe, intuitive robotic systems for industrial and social contexts, emphasizing human-robot interaction (HRI), AI ethics, and collaborative robotics. Chrysostomou has over 15 years of research experience, funded by EU frameworks and national grants, with over 70 peer-reviewed publications. Education: PhD in Robot Vision (2013) and Diploma in Production Engineering (2006) from Democritus University of Thrace. He coordinates courses in robotics and manufacturing technology, emphasizing problem-based learning models. Administrative roles include heading the Robotics and Automation Group and the Aalborg Robotics Challenge steering committee. Research interests span AI-driven robotics, ethical implications of robot behavior, and HRI evaluation methodologies. Key projects include SAPIENT (2025-2027) for robotic intelligence and RIACT (2024-2025) on collaborative robot technology. Editor-in-Chief of *Industrial Robot* journal, IEEE Senior Member, and leader in euRobotics standardization initiatives. Notable contributions include virtual assistants for industrial robots, trust evaluation frameworks in HRI, and energy-based approaches for collaborative robotics. Active in conference organization, editorial roles, and industry collaborations, including co-founding AI startups.

Carsten Schürmannمشاهده پروفایل

استاد

• Information Security
• Cryptographic Voting Protocols
• Security Analysis
• +۵ مورد دیگر

Carsten Schürmann is a Professor of Theoretical Computer Science at IT University of Copenhagen, where he serves as Center Manager for the Center for Information Security and Trust. His research spans information security, cryptographic voting protocols, identity management, and digital democracy, with significant contributions to security ceremonies and formal verification of protocols. Professor, Department of Computer Science Center Manager, Center for Information Security and Trust Principal Investigator for multiple DIREC projects through 2025 Active researcher with 64 publications and 20 projects listed His research focuses on the intersection of theoretical computer science and practical security challenges, particularly in voting systems and security ceremonies. Schürmann has developed formal methods for analyzing security protocols, with emphasis on human factors in security implementations and cryptographic voting systems. His work bridges logical frameworks with real-world security applications, addressing both technical and socio-technical aspects of security. Analysis of his recent publications reveals a strong emphasis on voting security, with multiple papers on risk-limiting audits, receipt-free voting, and election integrity. His work increasingly incorporates formal logical frameworks to verify security properties, while also addressing human factors in security ceremonies. The research spans theoretical foundations in linear logic to practical applications in election systems. As Principal Investigator, Schürmann leads several major projects funded by the Innovation Fund Denmark, including DIREC initiatives focused on Capacity Building, PhD School, Voting, and Entrepreneurship (2020-2025). He has also established working groups in Adversarial AI and Machine Learning. Organized workshops on Code Scanning (2014) and Verifying Security Protocols in Tamarin (2016) Active media commentator on security issues with 311 media appearances through 2025 Principal Investigator for 7 ongoing and 13 completed research projects Schürmann directs the Center for Information Security and Trust, which serves as a hub for interdisciplinary security research connecting theoretical computer science with practical security applications. His center focuses particularly on voting systems security and security ceremonies, bringing together researchers from multiple disciplines to address complex security challenges.

Celia Kjærbyمشاهده پروفایل

دانشیار

• Sleep Neuroscience
• Glymphatic System
• Sleep-Arousal Transitions
• +۵ مورد دیگر

Celia Kjærby is an Associate Professor at the Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, where she also leads the Division of Sleep-Arousal State Transitions at the Center for Translational Neuromedicine. Her research focuses on understanding sleep micro-structures and their role in cognitive performance and brain health. Education: PhD, Graduate School of Health and Medical Sciences, University of Copenhagen (2012) M.Sc. (human biology), Faculty of Health and Medical Sciences, University of Copenhagen (2007) Bachelor of Science (biology), Faculty of Sciences, University of Copenhagen (2004) Kjærby's research investigates how sleep-arousal transitions impact restorative sleep processes related to memory consolidation and waste clearance. Her work is particularly relevant for understanding neurodegenerative and neuropsychiatric disorders where sleep disturbances play a significant role. She examines the complex micro-structures of sleep and how frequent short arousals contribute to normal sleep function. Her recent publications (2024-2025) reveal a strong focus on the glymphatic system, cerebral blood flow regulation during sleep, and the relationship between sleep disturbances and neurodegenerative conditions like Alzheimer's disease. Her research integrates advanced techniques including CRISPR/Cas9, fluorescent imaging, and machine learning approaches to analyze sleep patterns. Scientific Recognition: Member of Lundbeck Foundation Investigator Network (LFIN) (2022) Cover feature in Nature Neuroscience (August 2022) Kjærby has secured significant research funding including the Lundbeck Foundation Fellow award (2023), Lundbeck Foundation Seed Grant (2023), and an Inge Lehmann independent grant from the Independent Research Fund Denmark (2022). She serves on the editorial board of Frontiers in Neural Circuits and reviews for prestigious journals including Nature and Neuron. She is also active in scientific outreach, regularly participating in public lectures and media interviews about sleep science. She leads the research group focused on Sleep-Arousal State Transitions and has been instrumental in organizing neuroscience events including the monthly 'DIM the Brain' forum for students and postdocs at the University of Copenhagen since 2016.

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.