جست‌وجوی استاد و پژوهشگر

• Inter-cultural Studies
• Ethnicity and Race Studies
• Discourse Analysis
• +۶ مورد دیگر

Louise Tranekjær is an Associate Professor at Roskilde University's Department of Communication and Arts, serving as Head of the Language Profile and Head of the Research Group Language and Learning. She holds a Ph.D. in Intercultural Studies and an MA. Her work focuses on categorization processes related to ethnicity, race, and identity, examining their role in inclusion/exclusion dynamics within labor markets and education. Using discourse and conversation analysis, she explores how identities and social relations are negotiated through interactional resources like humor. Key research areas include intercultural communication, workplace language learning, and the intersection of culture and pedagogy. She leads projects such as 'Language and Cultural Cognition' and 'Varig Tilknytning til Arbejdsmarkedet,' addressing language policies and professional integration. Her recent outputs emphasize digital tools for language learning and global citizenship education. Education: Ph.D. in Intercultural Studies, MA Key Projects: Language and Cultural Cognition (2021–present), Læring på Spil (2020–2021) Awards/Activities: Over 70 academic activities including lectures, workshops, and peer reviews. Notable media engagement includes a 2023 article on language learning through games. Her work bridges theoretical discourse analysis with practical applications in education and workplace settings, advocating for inclusive communication strategies. She collaborates internationally, contributing to edited volumes on framing analysis and intercultural understanding.

Mads Rosendahlمشاهده پروفایل

دانشیار

• Computer Science
• Hardware and Software Energy Efficiency
• Static Analysis
• +۵ مورد دیگر

Mads Rosendahl is an Associate Professor at Roskilde University's Department of People and Technology, specializing in Programming, Logic, and Intelligent Systems. He holds an MSc and PhD in Computer Science. His research focuses on energy-efficient software/hardware algorithms, static analysis for hardware design, and programming language approaches to concurrency and performance optimization. Key projects include 'Energy and Performance Trade-offs in Hardware and Software Implementations' (2022-2023) and 'ENTRA: Whole-systems energy transparency' (2016). He has collaborated on initiatives like ICT-Energy (2013-2016) and Situated Design Methods (2013-2014), emphasizing interdisciplinary research. His research interests span energy-efficient computing, static program analysis, algorithm implementation on low-level hardware, and compiler optimization. Notable contributions include work on probabilistic resource analysis and abstract interpretation techniques. Publications highlight advancements in static communication analysis for hardware design (2025), energy-efficient algorithms (2025), and language support for embedded systems (2023). He has also presented widely, including lectures on semantics-based cost analysis (2012) and participation in workshops like DanSAS and Reversible Computation events. Rosendahl contributes to academic service through peer reviews and conference activities, reflecting his commitment to advancing theoretical and applied computer science.

• Resource-Aware Machine Learning
• Data Processing on Resource-Constrained Hardware
• Storage Systems
• +۵ مورد دیگر

Pınar Tözün is an Associate Professor at the IT University of Copenhagen (ITU) since 2018, where she leads the Data, Systems, and Robotics section and the Resource-Aware Data Systems (RAD) team. Her research focuses on optimizing modern hardware (processors and storage) for data-intensive systems, with recent emphasis on resource-aware machine learning, hardware-constrained data processing, and advancements in SSD/CXL technologies. Before ITU, she was a research staff member at IBM Almaden Research Center (2015–2018), contributing to the IBM Db2 Event Store development. She holds a PhD from École Polytechnique Fédérale de Lausanne (EPFL, 2014), where she worked on the Shore-MT storage manager under Prof. Anastasia Ailamaki. She earned her bachelor’s degree in Computer Engineering from Koç University (Turkey, 2009), advised by Prof. Serdar Taşıran. Her research interests span Resource-aware machine learning, Data management systems, Edge computing, High-performance storage, and sustainable AI practices. Her work bridges hardware and software optimization, addressing challenges in distributed systems and IoT environments. She actively contributes to academic communities through workshops like DBTest and diversity initiatives in database conferences.

Peter Schneider-Kampمشاهده پروفایل

استاد

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

Peter Schneider-Kamp is a Professor of Data Science at the Department of Mathematics and Computer Science, University of Southern Denmark. His research focuses on Artificial Intelligence, Machine Learning, Privacy-Preserving Techniques, and Algorithms. He has led projects such as the Danish Foundation Models initiative and the PREPARE cardiovascular disease project. His work spans synthetic data frameworks (e.g., Syntheval), quantization-aware neural networks (BitNet), and autonomous drone systems (Drones4Safety). He has been honored with awards including the Researcher Award 2014 and the Friedrich-Wilhelm-Preis 2009. Key research interests include optimizing sorting networks, termination analysis, and UAV-based infrastructure inspection. He has contributed to over 112 publications and actively participates in academic activities like organizing the 13th ACM SIGPLAN Symposium on Principles and Practice of Declarative Programming. Schneider-Kamp also engages in educational roles, teaching courses such as DS806 and DM564 on database systems. His projects highlight interdisciplinary impact, including cardiovascular disease risk estimation (PREPARE) and AI-driven health advice analysis. He collaborates internationally, with recent work featured in venues like the International Conference on Agents and Artificial Intelligence.

Magnus Berg Ladefogedمشاهده پروفایل

پژوهشگر ارشد

• Operations Research
• Artificial Intelligence
• Maritime Search and Rescue
• +۳ مورد دیگر

Magnus Berg Ladefoged serves as a PhD Fellow at Aalborg University's Department of Materials and Production within The Faculty of Engineering and Science. His research focuses on AI-driven operations optimization across maritime, logistics, and sensor network domains. His research interests leverage Operations Research and Artificial Intelligence to solve complex industrial problems. Key areas include maritime search-and-rescue pathfinding, automated sorting system optimization, and drone detection network design. His work integrates dynamic probability modeling, constraint programming, and heterogeneous system coordination to enhance operational efficiency in real-world scenarios. Recent publications reveal a strong trend toward applied AI in industrial systems , particularly maritime operations and logistics automation. His research bridges theoretical optimization with practical implementations in robotic sorting systems and emergency response frameworks. Magnus actively collaborates with researchers like A. K. Larsen and K. I. Kilic on projects spanning maritime safety, automated material handling, and drone surveillance networks. His work demonstrates significant potential for industrial implementation in port operations and supply chain management.

• Computational Epidemiology
• Digital Epidemiology
• Network Science
• +۱ مورد دیگر

Nicolò Gozzi serves as a Senior Research Scientist at the National Research Council of Italy (CNR), specializing in computational approaches to public health challenges. His work bridges epidemiology, network science, and data analytics to address complex disease dynamics through interdisciplinary collaboration with institutions including Northeastern University and the Bruno Kessler Foundation. Gozzi's research focuses on Computational Epidemiology, Digital Epidemiology, Network Science, and Data Science. He pioneers methods for modeling behavioral responses during pandemics, analyzing mobility networks, and developing forecasting systems. His work integrates digital surveillance with traditional epidemiological frameworks to study vaccine impacts, health inequities, and intervention effectiveness—particularly evident in his extensive contributions to COVID-19 and influenza research. Analysis of his 15 most recent publications reveals a consistent trajectory in modeling infectious disease dynamics through computational frameworks. His work spans behavioral epidemiology (examining vaccination decisions and risk compensation), network resilience (assessing mobility patterns during interventions), and digital infrastructure applications (including cybersecurity analogies). A defining characteristic is his use of real-world data for policy-relevant forecasting, demonstrated through projects like Influcast and RespiCast. Gozzi leads or contributes to critical public health infrastructure projects including Epydemix (an open-source epidemic modeling toolkit), AWaRe (global antimicrobial stewardship), Influcast (influenza forecasting), and RespiCast (European respiratory disease hub). These initiatives emphasize collaborative, data-driven approaches to disease surveillance and intervention planning across multiple geographic and institutional contexts.

• Computer Science
• Artificial Intelligence
• Cybersecurity
• +۷ مورد دیگر

Matteo Trentin is a PhD student at the Department of Mathematics and Computer Science (University of Southern Denmark), focusing on Artificial Intelligence , Cybersecurity , and Programming Languages . His research intersects Serverless Computing , Resource Allocation , and Static Program Analysis , with a strong emphasis on Scheduling Policy and Domain-Specific Languages . Current affiliation: Department of Mathematics and Computer Science, University of Southern Denmark Research themes: Cloud systems, runtime environments, cost-aware scheduling, and formal methods Collaborations: International work with researchers in software architecture and formal verification His publications address topology-aware allocation , affinity-aware function scheduling , and formal specification of FaaS policies , often leveraging domain-specific languages and static analysis to optimize serverless platforms . Key trends include cloud resource management , operational semantics , and service platform engineering .

Susana S. Fernándezمشاهده پروفایل

استاد

• Foreign Language Pedagogy
• Second Language Pedagogy
• Intercultural Semantics/Pragmatics
• +۷ مورد دیگر

Susana S. Fernández is a Professor at the Department of German and Romance Languages, School of Communication and Culture, Aarhus University, Denmark. She holds leadership roles as head of the Study Board for Theoretical Pedagogical Education for Upper Secondary School Teachers, co-head of the research program Language and Communication , and head of the research unit Language Acquisition and Pedagogy . Her research is centered on foreign and second language pedagogy, with a strong emphasis on intercultural semantics and pragmatics, grammar teaching, teacher cognition, and Spanish linguistics. Her research interests include: Foreign and second language pedagogy Intercultural semantics and pragmatics Grammar instruction and teacher cognition Spanish language acquisition Corpus linguistics and Spanish linguistics Pragmatic competence in adult learners The recent publications (2020–2025) reflect a consistent focus on communicative language teaching, intercultural competence, and the cognitive aspects of grammar instruction. Her work bridges theoretical linguistics with practical classroom applications, particularly in Danish as a second language for adult migrants and teacher training contexts. She frequently engages in national discourse on language education policy. Her scientific awards include: To-årigt post-doc stipendium (2007) for research on cognitive-based grammar teaching Velux Foundation stipendium (2022) Susana S. Fernández actively supervises and mentors through her leadership in research programs and projects. She has led or participated in numerous research projects, including the Velux-funded Danish in the Making , and contributes to academic service through peer review, editorial work, and organizing workshops and conferences. Her work is supported by external grants and institutional collaboration. She is actively involved in research networks and collaborative projects such as Emancipatory Ethnopragmatics and Ethnopragmatics for Intercultural Competence (EPIC) , which aim to integrate cultural values and communicative styles into language education. Her current projects extend into 2027, indicating sustained research activity.

Joao Henrique Inacio de Souzaمشاهده پروفایل

پژوهشگر ارشد

• Wireless Communications
• Reconfigurable Intelligent Surfaces
• Signal Processing
• +۴ مورد دیگر

Joao Henrique Inacio de Souza is a Postdoctoral Researcher at the Department of Electronic Systems within the Faculty of IT and Design at Aalborg University, Denmark. Based at Fredrik Bajers Vej 7C, C1-105, 9220 Aalborg Øst, he operates under the Connectivity section with research focusing on advanced wireless communication systems. His work bridges theoretical signal processing with practical network optimization challenges in next-generation telecommunications. Research Focus: Dr. Souza specializes in temporal dynamics within wireless networks, particularly preserving simultaneity and chronology for sensing applications. His expertise spans reconfigurable intelligent surfaces (RIS), quality of service optimization in crowded XL-MIMO environments, and non-stationary channel modeling for 5G/6G systems. Key methodologies include temporal window integration techniques and multiplexing strategies for eMBB/URLLC services, addressing critical gaps in real-time wireless sensing and ultra-reliable communications. Publication Trends: His 2023-2025 output reveals a concentrated trajectory toward solving temporal coherence challenges in perceptive networks. Six publications demonstrate progressive refinement of RIS-assisted control mechanisms, with increasing emphasis on simultaneity preservation (2025) after foundational work on QoS-aware scheduling (2023). The research consistently targets 6G-enabling technologies through novel approaches to time-varying channel management and spatial multiplexing. Scientific Recognition: No formal awards or fellowships documented in current records Collaborative Framework: Active collaborations with Popovski, Soret, and Abrao indicate integration within Aalborg University's wireless research ecosystem. No student advisement or grant management details are publicly available. Research Infrastructure: Works within the Connectivity section's experimental framework for wireless temporal coherence testing, leveraging university resources for RIS prototyping and channel emulation.

Philipp Georg Haselwarterمشاهده پروفایل

استادیار

• Programming Languages
• Formal Verification
• Probabilistic Programming
• +۳ مورد دیگر

Philipp Georg Haselwarter is an Assistant Professor at the Department of Computer Science , Aarhus University . His expertise lies in programming languages , formal verification , and cryptographic proofs . His research interests include Higher-order probabilistic programming Separation logic for program analysis Modular cryptographic proofs in Coq Resource-aware and cost-bounded formal methods Key trends in his recent publications span Formal verification techniques for probabilistic and cryptographic systems Integration of separation logic with cost and error analysis Development of frameworks like SSProve for cryptographic proofs Applications of type theory and higher-order logic in programming languages

• Transportation Systems Modelling
• Machine Learning Applications
• Urban Mobility
• +۲ مورد دیگر

Guido Cantelmo is an Assistant Professor at the Technical University of Denmark (DTU) within the Department of Technology, Management and Economics, specifically in the Division of Transport's Section for Transport Systems Modelling. His research leverages big data analytics and machine learning to address complex transportation challenges, with expertise spanning traffic flow modeling, demand estimation, shared mobility systems, and urban network optimization. He maintains active collaboration with international cities including Copenhagen, Munich, and Tel Aviv-Yafo for empirical validation of his models. His research integrates computational techniques such as Graph Neural Networks, meta-learning, and physics-informed AI with transportation theory. Primary domains include: Dynamic traffic assignment using real-time data sources Machine learning for imbalanced mobility datasets Emission impact modeling of urban fleets Behavioral analysis of shared mobility adoption Large-scale simulation calibration frameworks Publication analysis (2022-2025) reveals dominant themes: data-driven demand estimation (37% of recent works), machine learning metamodeling (27%), shared mobility optimization (20%), and urban policy impact studies (16%). Methodological innovations include transfer learning for sparse data and multi-city validation approaches. No scientific awards or student mentoring relationships are documented in available sources. Similarly, no information exists regarding research grants, laboratory affiliations, or educational background.

Rikke Munck Petersenمشاهده پروفایل

دانشیار

• Landscape Architecture
• Sensory Studies
• Film and Media Mediations
• +۴ مورد دیگر

Rikke Munck Petersen is an Associate Professor in Landscape Architecture and Sensory Conception at the University of Copenhagen's Department of Geosciences and Natural Resource Management. She leads research in sensory landscape methodologies and co-organizes the Copenhagen Landscape Lectures series as part of the 'Landscape Architecture and Urbanism' and 'Spatial Change and Planning' research groups. Her educational background includes a PhD (2010) and Cand. Arch. (2000) from the Royal Danish Academy of Fine Arts, School of Architecture, supplemented by studies at the University of Pennsylvania (1999) and Royal Agricultural University of Denmark (1998). PhD, Royal Danish Academy of Fine Arts, School of Architecture (2010) Cand. Arch., Royal Danish Academy of Fine Arts, School of Architecture (2000) Non-degree studies, University of Pennsylvania (1999) Plant use course, Royal Agricultural University of Denmark (1998) Her research pioneers sensory analysis and filmic mediations in landscape transformation, focusing on the body's sensorium, affective experience, and performativity in climate-resilient design. Current projects include multi-sensory river valley analysis (Archive for Becomings, 2025-27) and EU Water4All's INTERLAYER project (2024-27) developing 'slow hydrology' approaches for flood/drought resilience. Her methodology integrates drone footage, film editing, and participatory processes to stimulate sensory awareness in landscape planning. Recent publications reveal strong interdisciplinary convergence between landscape architecture, film studies, and environmental science, with emphasis on affective engagement in climate adaptation. Key trends include drone-mediated sensory co-creation (2020-2024), feminist landscape historiography (2024), and emergent design methodologies for regenerative landscapes (2025). Scientific recognition includes: ICAR-CORA Prize 2011 for PhD thesis 'Landscape transformations' Vola Prize 2000 for master project Frits Schlegel Honors 2003 for early-career architecture She supervises doctoral research including Hongxia Pu's 'Filmic Scroll' (2024) on Chinese desakota landscapes and Kristen Danielle van Haeren's 'Thickness of the Green' (2020) on Danish welfare landscapes. Major grants include Danish Arts Foundation funding (75,000 DKK for Archive for Becomings), EU Water4All (3 million DKK), and Danish Research Council support (6 million DKK for Drone Imaginaries project). As director of Surroundinglab.org and editorial board member for Emotion, Space and Society, she bridges academic research with professional practice. Her studio mupLA (founded 2003) has delivered award-winning landscape projects including Roskilde Festival area planning and Bornholm harbor designs, maintaining active engagement with municipalities and architecture offices.