جست‌وجوی استاد و پژوهشگر

Jesper Kraghمشاهده پروفایل

پژوهشگر

• Energy Consumption
• Life Cycle Assessment
• Indoor Climate
• +۶ مورد دیگر

Jesper Kragh serves as a Senior Researcher at Aalborg University's Department of Construction, Urban and Environmental Engineering within the Faculty of Engineering and Science. His work focuses on sustainable building practices with particular expertise in energy consumption analysis, environmental impact assessment (LCA), indoor climate optimization, and Legionella prevention in building systems. His research interests span Energy Consumption , Life Cycle Assessment , Indoor Climate , Ventilation Systems , and Legionella Prevention , with strong connections to building regulations and energy labeling schemes. His work integrates government consulting, academic research, and practical implementation in the Danish building sector. His publication trends reveal consistent focus on building sustainability, with recent articles emphasizing energy renovation economics , water system optimization , and carbon footprint reduction in construction. The 2023-2025 publications demonstrate increasing emphasis on data-driven approaches and regulatory compliance frameworks. Professional activities include active participation in technical committees including DS/S-316 (Heating and Cooling Systems), DS/S-313 (Ventilation in Buildings), and DS/S-314 (Water Supply), where he contributed to national standard development from 2020-2024. His media engagement demonstrates strong science communication, with 16 press appearances since 2019 addressing topics like energy renovation benefits , ventilation challenges in multi-story housing , and demolition patterns in Danish construction . Current projects through 2027 focus on Legionella prevention, sustainable ventilation solutions, and updating generic data for building regulations.

• Visual attention
• Memory
• Mathematical modeling
• +۴ مورد دیگر

Anders Petersen is an Associate Professor in quantitative methods at the Department of Psychology, University of Copenhagen, Faculty of Social Sciences. His office hours are Wednesdays 12:00-13:00, and he can be contacted at anders.petersen@psy.ku.dk or +4535324884. He is affiliated with the Center for Visual Cognition within the department. His educational background includes an MSc in Computer Science from the University of Copenhagen (2005) and a Ph.D. in Psychology from the same institution (2010). Petersen's research focuses on developing tools for investigating human visual attention and short-term memory by using mathematical modeling, eye tracking, and EEG. His work contributes to the continuous development of the Theory of Visual Attention (TVA). A major focus has been on developing paradigms to measure temporal dynamics of visual attention, and he has developed the first quantitative stochastic model explaining the attentional dwell-time phenomenon as well as the first TVA model applied to mouse data from the 5-CSRTT attention task. Analysis of his recent publications reveals a strong emphasis on advancing computational models of visual attention, particularly the Theory of Visual Attention (TVA). His work spans both theoretical developments and practical applications, including studies on attentional blink, attentional dwell time, and cross-species applications of attention models. There's a clear progression from foundational work on mathematical modeling of attention to more applied research in clinical contexts and naturalistic settings. Petersen has secured significant research funding including 'Are you in control? The Cognitive Control and Arousal Project (CoCoA)' from the Independent Research Fund Denmark (2020-2024) and 'Individualised Diagnostics and Rehabilitation for Attentional disorders (INDIREA)' as part of an EU Marie Curie Initial Training Network (2013-2017), where he led the Danish cluster. As an educator, Petersen coordinates Statistics I and II at BA level, teaches Statistics at MA level, offers summer courses in statistics at both levels, and teaches Cognitive Psychology at BA level. Administratively, he has served as Work Environment representative and as a member of the Collaboration Committee for the Department of Psychology since 2015. His research has been referenced in Wikipedia pages, mentioned on social media platforms, and has garnered attention from academic readers on platforms like Mendeley.

Abid Hussainمشاهده پروفایل

دانشیار

• Information Systems
• Design Science
• Big Data Analytics
• +۲ مورد دیگر

Abid Hussain serves as Associate Professor at Copenhagen Business School's Department of Digitalization, specializing in the convergence of digital technologies and organizational practices with emphasis on data-driven solutions and privacy-centric systems development. His research portfolio spans: Design Science in Information Systems Big Social Data and Big Data Analytics Enterprise Software Development (web, database, desktop solutions) Privacy by Design frameworks and data protection tools He has engineered solutions for data collection, transformation, and analytics pipelines alongside enterprise system integrations involving API security, document sharing, and WSDL protocols. Publication trends (2018-2025) reveal consistent innovation in privacy-preserving technologies (blockchain-based access control), immersive educational tools (VR classrooms), and multilingual social analytics. His work demonstrates interdisciplinary impact across computational social science, business informatics, and public health through event management systems, climate psychology studies, and interorganizational data sharing frameworks.

Anja Bechmannمشاهده پروفایل

استاد

• Digital Media Studies
• Social Media Communication
• Computational Social Science
• +۵ مورد دیگر

Anja Bechmann is a Professor in Media Studies and Director of DATALAB – Center for Digital Social Research at Aarhus University. Her work focuses on digital and social media communication, collective behavior, and algorithmic platforms, leveraging computational social science and machine learning. She leads major research initiatives like the Independent Research Fund Denmark’s 'Social Media Influence' project and contributed to EU projects like NORDIS and EDMO. Recognized as a member of the Royal Danish Academy of Sciences and Letters and the Academy of Technical Sciences, she advises governments and international bodies on digital policy. Her research bridges academia and policy, addressing misinformation, platform governance, and AI ethics. Education background: Ph.D. in Media Studies (implied by role and publications). Key affiliations include DATALAB, EDMO (executive board member), and advisory roles at Jyllands-Posten and Nordjyske Holding. She has disclosed no direct industry funding but engaged with tech companies via data grants and policy dialogues, emphasizing independent research. Her work spans interdisciplinary methods, including API data collection, ethnography, and survey design adapted to digital contexts. Research interests emphasize algorithmic accountability, democratic impacts of big tech, and disinformation dynamics. Recent projects analyze misinformation exposure across European media systems, AI-generated content detection, and gender representation in voice assistants. She has published extensively on social media infrastructure, digital governance, and ethical AI frameworks. Awards highlight her contributions to Danish and European scientific communities, including the 2019 Thinker in Residence honor by the Royal Flemish Academy. Grants and collaborations include funding from Danish and EU agencies (e.g., Horizon 2020), and she co-founded the European Information and Media Fund (EMIF) to support independent research. Her advising spans policy drafts for the European Parliament, Ministry of Defense, and cultural agencies, reflecting her role as a bridge between academia and public policy. Labs/Teams: Leads DATALAB and collaborates with EDMO and NGI Forward initiatives. Current projects (e.g., OPINION, SOMA) address automated opinion analysis, disinformation, and digital media observatories. Her work often involves international partnerships, emphasizing Nordic and EU-wide research networks.

Marianne Formanمشاهده پروفایل

پژوهشگر

• Construction Management
• Sustainable Construction
• Work Environment Studies
• +۳ مورد دیگر

Marianne Forman is a Senior Researcher at Aalborg University's Department of the Built Environment within The Faculty of Engineering and Science. Her research focuses on construction management, work environments, digital infrastructure, and innovative practices in the construction industry. She leads projects like Digital Infrastructures in Construction and collaborates with industry partners to address challenges in building automation, sustainability, and organizational change. Her work emphasizes the intersection of technology and human factors, such as ICT impacts on mental health in construction organizations and the role of data systems in facilities management. She has contributed to over 60 publications since 1999, with recent studies exploring organizational change in education and smart building technologies. Key projects include 'Digital Infrastruktur i byggeriet og arbejdsmiljøet' and 'Build 4.0', focusing on digital transformation, safety, and innovation. Her research also addresses sustainability through circular value chains and client-driven innovation strategies. She actively engages in academic activities, including conference presentations and media discussions on construction industry challenges.

• Machine Translation
• Multilingual NLP
• Bias and Fairness in NLP
• +۶ مورد دیگر

Christian Hardmeier is an Associate Professor in Data Science at the IT University of Copenhagen, specializing in Natural Language Processing (NLP) and computational linguistics. His research spans machine translation, multilingual NLP, bias and fairness, coreference resolution, and discourse analysis. Key research areas include: Cross-lingual pronoun prediction and anaphora resolution Discourse structure in multilingual contexts Ethical considerations in NLP (dehumanizing language, bias statements) Low-resource language processing and dataset creation Evidential deep learning for uncertainty estimation His recent publications focus on Egyptian Arabic discourse relations, uncertainty modeling, and biomedical translation. He contributes to community efforts through the Pioneer Centre for Artificial Intelligence and SafeNet initiatives. Notable recognition includes an Outstanding Paper Award at the ML Evaluation Standards Workshop 2022. He actively participates in assessment committees and NLP community-building activities.

Luca Rossiمشاهده پروفایل

دانشیار

• Digital Media
• Networks
• Big Data Analysis
• +۹ مورد دیگر

Luca Rossi is an Associate Professor at the Department of Digital Design, IT University of Copenhagen, where he coordinates the Human-Centred Data Science research group and contributes to the Networks, Data, and Society (NERDS) group. His work focuses on digital media, networks, and sociotechnical systems. Research Interests Rossi's research spans social media analysis climate change communication political polarization big data ethics human-computer interaction coordinated disinformation His 15 most recent publications examine visual communication in climate debates, LLM-generated data challenges, TikTok network patterns, and hate speech moderation. Awards Research Environment of the Year 2022 Projects Current roles include: Local PI for EU CHANSE PolarVis Co-Investigator in DEEPFAKE (Meta) Participant in VIRT-EU (European Commission) Contributor to DaR (Velux Fonden) Collaborator in SafeNet (European Commission)

Jens Peter Andersenمشاهده پروفایل

پژوهشگر

• Bibliometrics
• Sociology of Science
• Inequality
• +۳ مورد دیگر

Jens Peter Andersen is a Senior Researcher at Aarhus University's Department of Political Science and the Danish Centre for Studies in Research and Research Policy. His work focuses on sociological dimensions of academic systems through quantitative methods. Primary Affiliation: Department of Political Science, Aarhus University Secondary Affiliation: Danish Centre for Studies in Research and Research Policy Research Interests: Andersen combines bibliometric methods, social network analysis, and natural language processing to investigate structural inequalities in science. His work addresses gender disparities, elite formation processes, and systemic biases in funding and citation patterns. Recent Research Trends: Recent publications examine AI's impact on research practices, global knowledge flow imbalances, and the Matthew effect in funding distributions. He also contributes to meta-research on citation dynamics and peer review mechanisms. Projects: Current projects include the Scientific Elites (2020-2024) and Funder Data Platform (2022-2027) initiatives. Past work includes SOPs4RI (2019-2022) and PRINT (2017-2019) projects focused on research integrity frameworks.

Emer Bradyمشاهده پروفایل

پژوهشگر

• Science Policy
• Research Funding
• Social Inequalities in Science
• +۳ مورد دیگر

Emer Brady is a researcher at the Department of Political Science and Danish Centre for Studies in Research and Research Policy at Aarhus University. She manages the Research on Research Institute's Funder Data Platform and contributes to RoRI consortium projects including the Matthew and Portfolios studies. School Affiliation: School of Business and Social Sciences Primary Role: Researcher specializing in inequalities in the scientific system Research focuses include: Analyzing systemic biases in research funding and peer review Mapping demographic shifts in academia Developing data platforms for cross-institutional analysis Investigating sex/gender considerations in clinical research Recent publications examine status bias in peer review, gender representation in pandemic research, and replication studies of funding inequities. She utilizes large-scale data analysis across her work.

Gitte Rasmussenمشاهده پروفایل

استاد

• Social Interaction
• Ethnomethodology
• Conversation Analysis (EMCA)
• +۶ مورد دیگر

Gitte Rasmussen is a Professor at the Department of Cultural and Linguistic Studies, University of Southern Denmark. Her research focuses on social interaction through ethnomethodology and conversation analysis (EMCA), particularly examining how individuals with disabilities like dementia or cerebral palsy navigate physical and digital environments. External Appointment: Associate Editor, University of Toronto Press Key Collaborations: TRINITY Project (robotics & motion), LIDEM (dementia research center) Research Themes Disability & Interaction: Analyzing gaze behavior, body weight unloading robotics, and multimodal communication in caregiving Technology & AI: Exploring eye-tracking applications, robot-assisted training, and digital commerce semiotics Social Practices: Studying everyday life dynamics in shopping, nursing homes, and virtual environments Scientific Contributions 114+ publications across social sciences, computer science, and healthcare 2024: Journal of Interactional Research in Communication Disorders (visual impairment studies) 2025: Pragmatics and Society (e-shopping analysis) Awards & Recognition 2012: Fyns Stiftstindendes Forskerspris (research prize) Advising & Projects Supervised 6 PhD students including Dakwar (digital commerce), Nicolaisen (robotics), and Lauridsen (ethics) Principal Investigator for 4 major projects (DAP, RESEMINA, Demensvenlighed, TRINITY) Collaborated with researchers across Denmark, Canada, and the Netherlands Labs & Networks Co-PI at LIDEM (Dementia Research Center) Active in international EMCA and multimodality networks Developed methods for integrating eye-tracking and video analysis in social interaction studies

Jonas Strømfeldt Eduardsenمشاهده پروفایل

دانشیار

• Corporate Social Responsibility
• Cross-Border e-Commerce
• Multinational Enterprises
• +۴ مورد دیگر

Jonas Strømfeldt Eduardsen is an Associate Professor at Aalborg University Business School, part of the Faculty of Humanities and Social Sciences. He is affiliated with the International Business Research Group and the Green Society initiative. His research focuses on corporate social responsibility (CSR), cross-border e-commerce, multinational enterprises, and circular economy strategies. He has been involved in projects such as the CREATE initiative on circular economy in Bangladesh's apparel industry and the SDC-PhD program on sustainable innovation in multinational enterprises. Eduardsen holds a PhD and has published extensively in journals like Management International Review and Journal of Business Research . His work often explores risk management in international business, digital transformation's impact on SMEs, and the role of technology in global trade. He has received the Best Paper Award at The Consortium for International Marketing Research (2024). He participates in academic activities such as organizing PhD courses on sustainability and circular economy, and his media engagements include discussions on supply chain resilience and digital trade barriers.

Josva Kleistمشاهده پروفایل

دانشیار

• Distributed Systems
• Grid Computing
• Optical Networking
• +۵ مورد دیگر

Josva Kleist is an Associate Professor at the Department of Computer Science, Aalborg University, affiliated with The Technical Faculty of IT and Design. He specializes in distributed systems, grid computing, and optical networking, with a focus on energy efficiency, middleware development, and process calculus theories. His research spans distributed computing architectures, including grid middleware (e.g., ARC), optical network optimization, and high-performance computing infrastructure for projects like the LHC. He contributed to the Danish Center for Grid Computing and the Network of Excellence on Embedded Systems Design (2004–2008), focusing on system management and resource allocation. Key research interests include: - Energy-efficient optical networks and survivable routing strategies - Grid middleware interoperability and modular design - Large-scale distributed storage and computational frameworks for scientific experiments - Formal methods for process calculi applied to mobile objects and distributed systems Recent work emphasizes cloud provider connectivity for research networks and traffic-aware elastic optical networks. Media coverage highlights his contributions to supercomputing energy efficiency and climate modeling infrastructure. Notable projects include building distributed Tier-1 computing centers for LHC data storage and analyzing network requirements for high-throughput scientific workflows. His work bridges theoretical foundations with practical implementations in distributed systems.

Dalin Zhangمشاهده پروفایل

دانشیار

• EEG-based Emotion Recognition
• Time Series Forecasting
• Graph Neural Networks
• +۴ مورد دیگر

Dalin Zhang is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark. He holds a position within the Technical Faculty of IT and Design. His research focuses on machine learning, sensor data analysis, and their applications in healthcare, smart cities, and human-computer interaction. Key areas include EEG-based emotion recognition, time series forecasting, and graph neural networks. He leads the PREDICTION-ENABLED DYNAMIC SCHEDULING OF HOUSEHOLD ELECTRICITY USAGE project (2023–2024), demonstrating expertise in energy systems optimization. His work bridges theoretical advancements with practical applications, such as developing lightweight models for real-time traffic flow prediction and creating benchmarks for emotion recognition systems like LibEER. Research interests span: EEG signal processing for emotion and intention recognition Efficient time series analysis and forecasting Graph neural networks and adversarial defense mechanisms Data privacy in wearable sensor systems Recent publications highlight innovations like Pure-GNN (graph neural networks against adversarial attacks), LightCast (traffic forecasting), and Self-Supervised EEG Representation Learning. He advises two PhD students but their names are not listed in the provided texts. His work often emphasizes computational efficiency and real-world deployment across healthcare, smart infrastructure, and consumer electronics.

Najmeh Shaghaeiمشاهده پروفایل

استادیار

• Sustainability in Academic Libraries
• Organizational Change Management
• Social Sustainability
• +۳ مورد دیگر

Najmeh Shaghaei is an Assistant Professor at the Department of Design, Media and Educational Science, and Head of Libraries for Esbjerg & Sønderborg at The University Library of Southern Denmark. Her work focuses on organizational change, sustainable library development, and social sustainability within academic institutions. She actively contributes to research assessment metrics, open science initiatives, and library leadership strategies. Her research explores how libraries can become sustainability leaders, facilitate social cohesion through third-place concepts, and adapt during crises. Key projects include 'Beyond Change Management' and 'Leadership in Time of Crisis,' emphasizing resilience and innovation. She serves on editorial boards, including LIBER Quarterly, and participates in international library networks like IFLA. Education: While formal degrees aren't detailed here, her academic trajectory aligns with leadership roles in library science and organizational management. Teaching: She instructs courses like 'Responsible Conduct of Research' and 'Good Work: Social Sustainability and Organizations.' Her articles address sustainability in library operations, pandemic-era adaptations, and inclusive research metrics. Collaborations span Denmark and international partners, advancing library roles in societal resilience and knowledge sharing. Grants and projects highlight her focus on strategic change, with leadership in initiatives totaling over €2M in funding. She advocates for libraries as hubs of community engagement and sustainable development, integrating social, technical, and environmental dimensions.

Rosario N. Mantegnaمشاهده پروفایل

استاد

• Econophysics
• Complex Networks
• Statistical Physics
• +۷ مورد دیگر

Rosario N. Mantegna is a Professor at the University of Palermo and holds visiting positions at Central European University and honorary status at University College London. Since 2017, he has been a member of the External Faculty at the Complexity Science Hub Vienna, reflecting his active engagement in interdisciplinary research on complex systems. His research lies at the intersection of statistical physics and economics, where he is recognized as one of the pioneers of econophysics and economic networks . His work explores financial markets through the lens of complex networks, high-frequency trading, information transfer, and data-driven modeling. He has led and participated in numerous international and national research projects, contributing foundational insights into market structure and dynamics. The recent publications (2017–2023) highlight a strong focus on network analysis in finance , clustering techniques , information theory applications , and fintech evolution . These works span disciplines including physics, finance, computer science, and data analytics, demonstrating a consistent interdisciplinary approach. Key themes include validation of network structures, trader clustering, and systemic risk assessment. His scientific contributions are recognized through editorial roles in major conference proceedings and collaborations with leading researchers in complexity science. While no formal awards are listed, his sustained publication record in high-impact journals and books underscores his influence in the field. Rosario Mantegna advises students and researchers through his leadership in research projects and academic supervision, though specific advisees are not named. He has been involved in significant research grants and collaborative initiatives across Europe, particularly in complexity science and financial network analysis. His work is closely tied to interdisciplinary research groups and networks, including those at the Complexity Science Hub Vienna and Central European University, where he contributes to advancing the science of complex systems.