جست‌وجوی استاد و پژوهشگر

Carmen Heineمشاهده پروفایل

دانشیار

• Academic Writing
• Translation and Interpreting Studies
• Professional Communication
• +۳ مورد دیگر

Carmen Heine is an Associate Professor at the School of Communication and Culture , Aarhus University , specializing in English Business Communication . Her work bridges academic writing, translation studies, and digital communication pedagogy. Primary affiliation: School of Communication and Culture, Aarhus University Email: ch@cc.au.dk Research Interests: Heine investigates academic writing development , peer feedback mechanisms , and translation pedagogy . Her work integrates interdisciplinary approaches and cognitive modeling, with a focus on technology-enhanced learning environments. Recent Projects: Heine has led initiatives like Peer Feedback applying EDU-IT (AU grant, 2019) and Mastering cross-cultural peer feedback (2023). She explores AI tools for academic writing instruction and contributes to Germanistik (writing studies) literature. Activities: Heine collaborates internationally, including projects with Sabine Dengscherz (Vienna University) and the Institut für Skandinavistik at Kiel University. She develops didactic frameworks for digital and multilingual communication.

Ira Assentمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Clustering Algorithms
• +۵ مورد دیگر

Professor Ira Assent is affiliated with the Department of Computer Science at Aarhus University. Their research focuses on machine learning, data mining, and visualization, with applications in climate science, medical informatics, and computer vision. Professor Assent leads projects such as Light-IoT (analytics on compressed IoT data), WallViz (interactive visualization for massive datasets), and eData (anomaly detection in e-science). Their work emphasizes scalable algorithms, explainable AI, and interdisciplinary applications. Recent publications address rainfall prediction using deep learning, entity summarization via knowledge graphs, and efficient clustering techniques. Projects like RainAI demonstrate contributions to weather modeling and satellite data analysis. Collaborative efforts span academic and industrial domains, with a strong emphasis on practical, user-centric solutions. Selected research contributions include advancements in density-based clustering (e.g., AnyDBC, DISCO), parallel algorithms optimized for GPUs (HUNIPU), and visualization frameworks (AVID). Their work bridges theoretical computer science with real-world challenges, such as improving decision-making through interactive visualizations and enhancing medical information retrieval systems. Ongoing projects aim to address computational efficiency in large-scale data analytics while maintaining interpretability. Key areas of innovation include explainable AI (e.g., InteDisUX), climate modeling (DROPP), and hardware-accelerated algorithms (GPU-FAST-PROCLUS). These efforts reflect a commitment to advancing both foundational methods and applied technologies that impact diverse fields from environmental science to healthcare.

Peter Dalgaardمشاهده پروفایل

استاد

• Biostatistics
• Statistical Computing
• Medical Research
• +۳ مورد دیگر

Peter Dalgaard is a Professor at the Center for Statistics, affiliated with the Department of Finance at Copenhagen Business School (CBS). He holds editorial roles, including co-editor of the Scandinavian Journal of Statistics (2015–2018) and membership in the editorial board of the R Journal. His research focuses on statistical computing, biostatistics, medical data analysis, and R programming. Notable contributions include developing the R package 'pwr' for power analysis and co-authoring textbooks on statistical methods in healthcare and R programming. His publications span medical research, statistical methodology, software development, and econometrics. He has collaborated on studies involving chemotherapy side effects, migraine mechanisms, diabetes complications, and financial modeling. His work emphasizes rigorous statistical techniques and open-source tools for reproducible research. Professional activities include serving on academic assessment committees, such as for an associate professor position at Syddansk Universitet (2018–2019). His contributions to the R ecosystem highlight his role in bridging statistical theory with practical applications.

• Natural Language Processing
• Multilingual Language Models
• Knowledge Representation
• +۵ مورد دیگر

Constanza Catalina Fierro Mella is a PhD Fellow and Postdoc in the Natural Language Processing section at the Department of Computer Science, University of Copenhagen's Faculty of Science. Her research bridges computational linguistics with philosophical inquiry into knowledge representation in language models. Her primary research interests include Multilingual Language Models , Knowledge Representation , Mechanistic Interpretability , and Cross-cultural NLP . Fierro's work examines how language models remember and represent facts across languages, with particular attention to the epistemological foundations of artificial intelligence. Her publication record shows a strong focus on understanding the inner workings of language models, with recent papers exploring how multilingual models remember facts, the intersection of philosophy and mechanistic interpretability, and knowledge representation in large language models. Her research often involves collaboration with Anders Søgaard and other members of Copenhagen's NLP group. Fierro has received significant attention for her work, with papers like 'Challenges and Strategies in Cross-Cultural NLP' garnering over 100 citations. Her research spans both theoretical foundations and practical applications of natural language processing. She has contributed to diverse areas including multimodal learning (investigating connections between vision and language models), healthcare applications (predicting hospital readmissions), and historical document analysis (date recognition in parish records).

Jan Engbergمشاهده پروفایل

استاد

• Knowledge Communication
• Specialized Translation
• Dissemination and Popularization
• +۳ مورد دیگر

Jan Engberg - Academic Overview Jan Engberg is a Professor at the School of Communication and Culture, Aarhus University. His primary affiliation is within specialized communication and translation studies, focusing on knowledge dissemination across disciplines and languages. He holds a honorary doctorate (Dr. h.c.) and has a strong focus on bridging expert and non-expert communication in legal, scientific, and economic domains. Research Focus Engberg's research emphasizes how experts communicate complex knowledge to diverse audiences. Central themes include legal communication, translation practices, and multimodal knowledge transfer. His work spans legal systems, scientific discourse, and economic communication, with a particular interest in cross-linguistic challenges and digital recontextualization of expertise. Teaching & Pedagogy His teaching focuses on German business communication and specialized translation, particularly in legal and economic contexts. He emphasizes practical skills for international business contexts and economic understanding in multilingual settings. Key Projects SciDis (2022–2026): Studies recontextualization in digital scientific communication HUMANE-BIZCOMM: Models human-centric business communication TecCOMFrame (2015–2018): European framework for technical communicators' training Publications Engberg's publications address legal linguistics, translation ethics, and knowledge mediation. Recent works include encyclopedia entries on legal communication, contributions to EU policy analysis, and studies on multimodal science dissemination. Grants & Collaboration Engberg leads or collaborates on multiple EU-funded projects focusing on multilingualism in education, legal communication, and scientific dissemination. His work often involves interdisciplinary teams and practical applications in education and industry. Labs/Teams His research is embedded within collaborative networks like the MWissFo and SciDis projects, focusing on digital communication and knowledge transfer mechanisms.

Karsten Pedersenمشاهده پروفایل

دانشیار

• Governmental Communication
• Text Analysis
• Organizational Communication
• +۳ مورد دیگر

Karsten Pedersen is an Associate Professor in the Department of Communication and Arts at Roskilde University. He specializes in governmental communication, text analysis, and organizational communication, focusing on public discourse, plain language implementation, and dialogue-based science communication. His work bridges theoretical communication studies with practical applications in policy, education, and municipal governance. Education details are not explicitly listed in the provided materials, but his extensive research output demonstrates advanced expertise in communication disciplines. His research interests include analyzing communication theory frameworks, the application of plain language policies, and the role of dialogue in scientific outreach. Recent projects include the ongoing 'Tillid i offentlige kommunikation' project exploring trust in public communication, and the 'Hygiejnekommunikation på OUH' project addressing healthcare communication. His activities include committee memberships at Aalborg University and the University of Southern Denmark, reflecting his collaborative approach to academic work. Media engagements span over 70 press items, with recent contributions discussing governmental communication challenges at Energinet and the ethical responsibilities of public communication. His publications emphasize critical analysis of communication practices across sectors, advocating for more accessible and dialogic approaches. Grant and advising activities are integral to his work, with a focus on interdisciplinary projects that connect academic research with real-world communication challenges. He actively participates in scholarly networks and peer-review processes, contributing to the advancement of communication studies methodologies.

Yiyi Chenمشاهده پروفایل

پژوهشگر ارشد

• Natural Language Processing
• Language Model Security
• Large Language Models
• +۳ مورد دیگر

Yiyi Chen is a Research Fellow at the Department of Computer Science, Aalborg University, within The Technical Faculty of IT and Design. Specializing in Natural Language Processing (NLP), their work focuses on language model security, multilingual modeling, and computational linguistics. They hold a Master’s in Computational Linguistics and a Bachelor’s in Computer Science from Ludwig Maximilian University of Munich. Chen has contributed to projects like the Carlsberg Foundation-funded 'Multilingual Modelling for Resource-Poor Languages,' exploring marginalized languages through transfer learning and multitask benchmarks such as CreoleVal. Research interests include adversarial attacks on text embeddings, security metrics for large language models (LLMs), and linguistic typology. Notable achievements include the 2024 EliteForsk Research Travel Grant and conference participations like ACL 2024. Their work bridges ethical AI concerns with technical innovations, addressing vulnerabilities in multilingual systems and proposing solutions for memorization and inversion attacks. Education: Master’s in Computational Linguistics, LMU Munich (2018-2020) Bachelor’s in Computer Science, LMU Munich (2015-2018) Publications span embedding inversion security, cross-lingual attacks (e.g., LAGO framework), and typological analysis. Collaborations include Macquarie University visits and contributions to ACL and TACL journals. Current projects emphasize multilingual model robustness and ethical NLP practices.

Kristine M. Jensen de Lópezمشاهده پروفایل

استاد

• Developmental Psychology
• Child Language Development
• Developmental Language Disorder (DLD)
• +۵ مورد دیگر

Kristine M. Jensen de López is a Professor at Aalborg University's Department of Communication and Psychology within the Faculty of Social Sciences and Humanities. She co-founded the university's Child Language Clinic and leads graduate programs in developmental psychology. Her work focuses on child language development, developmental language disorders (DLD), multilingualism, and inclusive education strategies for vulnerable children. Education: BA, MA (Cand.Psych.), and PhD in Psychology. Key roles include Co-PI of the Center for Human Animal Psychology (CHAP) and Danish representative in international networks like JustLang and IALP. Research Interests: DLD assessment, narrative analysis, multilingualism effects on cognition, and evidence-based interventions. Her clinical tools include the Mary Foundation's LæseLeg program for literacy promotion and grief therapy frameworks for youth. Grants & Projects: Active in 17 ongoing projects including MeRID (cross-linguistic sentence processing) and MultiplEYE (multilingual eye-tracking research). Has secured funding from Swiss National Science Foundation and EU COST actions. Awards: Multiple prizes including 2022 best abstract award, travel grants, and leadership roles in international initiatives. Lab/Teams: Leads the Children's Language Clinic and collaborates with the Center for Developmental & Applied Psychological Science. Supervises master's students in rehabilitation clinic placements.

Petra Daryai-Hansenمشاهده پروفایل

دانشیار

• Foreign Language Education
• Plurilingual Education
• Content and Language Integrated Learning (CLIL)
• +۳ مورد دیگر

Petra Daryai-Hansen is an Associate Professor at the Department of English, Germanic and Romance Studies , University of Copenhagen, where she coordinates cross-disciplinary courses. Her research focuses on foreign language education, plurilingualism, intercultural education, and teacher/student cognition. Education : PhD in Cultural Encounters (Roskilde University, 2010); First State Examination in German and French (Freie Universität Berlin, 2000). Her research explores plurilingual education , language awareness , and CLIL methodologies , with projects spanning Denmark, Norway, and the Nordic/Baltic region. Recent work analyzes transitions in multilingual education across primary to secondary levels. She leads initiatives like Plurilingual Education – Minority and Majority Students' Language Awareness (Financed by Independent Research Fund Denmark) and contributes to European Council of Modern Languages frameworks. Her teaching includes foreign language education and sociolinguistics.

• Natural Language Processing
• Artificial Intelligence
• Computer Vision
• +۲ مورد دیگر

Yova Radoslavova Kementchedjhieva is a Research Fellow in the Department of Computer Science at the University of Copenhagen, specializing in Natural Language Processing within the university's NLP research group. Her work bridges artificial intelligence, computer vision, and language technologies through interdisciplinary collaborations. Her research focuses on Natural Language Processing, Artificial Intelligence, and Computer Vision, with specific expertise in cultural adaptation of recipes, vision-language model alignment, fact mutability in language models, multi-label classification for legal/biomedical text, grammatical error correction, and image captioning. She employs advanced multimodal learning and neural network analysis techniques to address complex linguistic and visual challenges. Recent publications reveal strong trends in vision-language integration, including vector space alignment studies and geometric convergence between language and vision models. Her work demonstrates applications in cross-cultural communication systems, dynamic fact verification, neural response modeling, and lightweight image captioning architectures. She actively contributes to the Natural Language Processing research group at the University of Copenhagen, collaborating with researchers like Anders Søgaard on projects spanning computational linguistics, multimodal AI, and cognitive modeling of language systems.

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.

• Natural Language Processing
• Gender Bias in Language Models
• Fairness in Artificial Intelligence
• +۳ مورد دیگر

Karolina Ewa Stanczak is a PhD fellow and Guest Researcher at the Department of Computer Science, Faculty of Science, University of Copenhagen, specializing in Natural Language Processing. Based at Universitetsparken 1, 2100 København Ø, she conducts research on bias detection and mitigation in language models with a multilingual focus, collaborating closely with the NLP research group. Her core research interests include gender bias in language models , fairness benchmarking , and distributional semantics . She investigates how linguistic structures like grammatical gender propagate social biases across cultures, employing causal inference methods to develop robust probing frameworks. Her work bridges computational linguistics and social sciences to address intersectional biases in digital diplomacy, historical texts, and political discourse. Analysis of her 2022-2024 publications reveals a cohesive research trajectory centered on quantifying gender bias in cross-lingual settings. She has pioneered methodologies for measuring bias against women ambassadors in digital diplomacy, politicians in multilingual models, and marginalized groups in historical documents, establishing herself as an emerging expert in fairness-aware NLP. Stanczak is supervised by Professor Isabelle Augenstein and collaborates with researchers including Ryan Cotterell and Yaroslav Golovchenko. Her doctoral work is funded by the University of Copenhagen's PhD fellowship program, and she actively contributes to the department's Natural Language Processing research initiatives through publications in top venues like EMNLP, ACL, and AAAI.

Indira Senمشاهده پروفایل

پژوهشگر

• Computational Social Science
• Natural Language Processing
• Measurement Theory
• +۷ مورد دیگر

Indira Sen is a postdoctoral researcher and lecturer at the University of Konstanz in the Department of Politics and Public Policy. Her work bridges computational methods and social science, focusing on the development of robust, theory-driven techniques for measuring social constructs from digital trace data. Education: PhD in Computational Social Science, RWTH Aachen and GESIS Leibniz Institute for the Social Sciences, advised by Prof. Claudia Wagner and Prof. Wil van der Aalst MSc in Computer Science, IIIT Delhi, advised by Prof. Ponnurangam Kumaraguru at PreCog BSc in Computer Science, Vellore Institute of Technology Her research integrates natural language processing and measurement theory to enhance the accuracy, transparency, and fairness of insights derived from digital behavioral data. She investigates how computational models, particularly large language models, represent diverse cultures and languages, highlighting issues of misrepresentation and bias. Her work is highly relevant for policymakers and researchers relying on digital data for social analysis. The available publication indicates a strong focus on cultural and linguistic bias in AI-driven social simulations, suggesting a research trajectory centered on ethical and methodological rigor in computational social science. Scientific Awards: No awards mentioned in the provided text. Indira Sen has served as a lecturer and mentor during her postdoctoral tenure, contributing to academic training in computational social science. While specific grants are not listed, her research at the intersection of social science and AI likely involves funding from interdisciplinary or digital society initiatives. She presented her work on multicultural misrepresentation in LLMs at the Complexity Science Hub in August 2024, reflecting active engagement in the scientific community. She is associated with research teams at the University of Konstanz and previously with PreCog at IIIT Delhi and the Computational Social Science group at GESIS. Her collaborative work with prominent scholars suggests integration into leading networks in computational social science.

• Pharmaceutical Policy
• Medical Sociology
• Pharmacy Profession
• +۶ مورد دیگر

Janine Marie Traulsen is a Part-time Lecturer in the Department of Pharmacy at the University of Copenhagen's Faculty of Health & Medical Sciences. With over 25 years of academic experience, she previously served as Associate Professor (1996-2016) and Assistant Professor at the Royal Danish School of Pharmacy (1988-1996). Her institutional roles include Head of the Masters in Drug Management Education (2010-present) and membership on multiple curriculum committees including PharmaSchool's Uddannelsesrådet (2012-present). Her research spans pharmaceutical policy , medical sociology , and medical technology assessment , with significant focus on pharmacy sector deregulation effects (particularly in Denmark and Iceland), fertility/abortion studies, and ethnic minority health perspectives. Recent work explores home hospitalization systems and vaccination attitudes , reflecting her commitment to interdisciplinary healthcare innovation. Key themes include: Integration of social sciences into pharmaceutical practice Patient-centered medication management systems Cultural competence in pharmacy services Policy evaluation methodologies for healthcare delivery Traulsen's publications since 2023 reveal strong emphasis on home healthcare infrastructure and mental health impacts of medicalized domestic environments , with growing attention to environmental health through the Anthropocene lens. Her methodological approach combines qualitative frameworks with policy analysis. Scientific recognition includes: RSAP Best Paper Award (2017) Editorial Board membership for International Journal of Pharmacy Practice (2012-present) Scientific Advisory role for University of Iceland's Research Institute for Pharmaceutical Outcomes As a dedicated educator, she has supervised over 10 PhD students and numerous Master's candidates, with advising focused on pharmaceutical policy implementation, counterfeit medicines, and cross-border healthcare. Her grant activities include WHO-contracted research in Kiev, Tanzania, and European multi-disciplinary teams. Current leadership involves the Tværfaglig workshop: Hjemmehospitaler exploring home hospitalization implications.

• 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.