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Tilmann WeberView profile

Professor

• Genome Mining
• Secondary Metabolites
• Streptomyces
• +6 more

Tilmann Weber is a Professor for Natural Products Genome Mining and Associate Scientific Director at the Novo Nordisk Foundation Center for Biosustainability (Technical University of Denmark). His research bridges genetics, biochemistry, and bioinformatics to decode biosynthetic pathways and engineer microbes for novel natural product discovery. Key Contributions : Development of antiSMASH , BGC Atlas , and CRISPR-based tools for Actinomycetes . SDG Impact : His work aligns with UN Sustainable Development Goals for health, life sciences , and environmental sustainability . Research Themes : Focuses on genomic analysis of biosynthetic gene clusters , CRISPR-mediated metabolic engineering , and automated bioinformatics workflows for drug discovery. His group pioneered the elfamycin pathway elucidation and antiSMASH software suite . Recent Publications span Streptomyces systems biology , mass spectrometry languages , and pan-genomic approaches to redefine microbial chemical diversity. Scientific Recognition Clarivate Highly Cited Researcher (2020–2024) Recipient of Clarivate Analytics awards for top-cited work in antibiotic resistance and bioinformatics Advising & Grants : Supervises PhD students in omics-driven antifungal discovery , metagenomic approaches , and synthetic biology tools . Leads projects funded by Novo Nordisk Foundation and EU consortia.

• Science and Technology Studies (STS)
• Ethnography
• Design Anthropology
• +7 more

Marisa Cohn is an Associate Professor at the Technologies in Practice department of IT University of Copenhagen . Her work bridges Science and Technology Studies (STS), Human-Computer Interaction (HCI), and Feminist Methods, focusing on digital infrastructure care, data materialization, and reproductive technologies. She collaborates extensively across disciplines and institutions. Active in 3 major research projects: EcoKnow (2017-2021), WaD (2020-2023), and DaR (2016-2021) Key research areas: infrastructure maintenance, feminist data practices, reproductive health tracking, and digital labor Contributed to 29+ research outputs including journal articles, book chapters, and conference proceedings Her research explores the intersection of technology, gender, and society, particularly through material feminist approaches. She has developed innovative methods like "knotting data" and "walking through normativities" for embodied data analysis. Marisa participated in 8 media contributions, notably creating poetic interpretations of GDPR regulations with collaborator Rachel Douglas-Jones. She organized workshops on feminist digital methods (2021) and contributed to open-source software research. Her academic activities include lectures at major conferences (2016-2022) and collaborations with 15+ researchers across institutions. She works with concepts like temporality, data doubles, and digital governance frameworks.

Magdalena Regina Tyzlik-CarverView profile

Associate Professor

• Critical Data Studies
• Digital Communication
• Curating Data
• +7 more

Magdalena Regina Tyzlik-Carver is an Associate Professor of Digital Communication and Culture at Aarhus University’s Department of Digital Design and Information Studies. Her research focuses on curating data, critical data practices, posthuman theory, and new materialism, with an emphasis on digital transformation driven by AI, semantic web, and data infrastructures. She co-directs the Centre for Critical Data Practices and is affiliated with the Digital Aesthetics Research Centre and Environmental Media and Aesthetics programs. Her work includes participatory methods for data practices beyond BigTech extractivism, as well as exhibitions like Fermenting Data and Ghost Factory . She has co-authored Boundary Images (2023) and edited Executing Practices (2018). Her research explores speculative methods, open data principles, and knowledge graphs to reimagine data futures. She has curated exhibitions addressing networked images, automated systems, and digital art history. Key projects include Fermenting Data (2021), ScreenShots (2019), and Corrupting Data (2017). She holds a PhD and is an associate researcher at London South Bank University’s Centre for the Study of the Network Image. Recent publications include speculative curatorial frameworks in Companion to Curatorial Futures (2025) and explorations of distance in digital spaces ( Everything Is a Matter of Distance , 2025). Her work bridges theory and practice, advocating for inclusive, ethical data practices through exhibitions, academic writing, and collaborative research initiatives.

Clemens Nylandsted KlokmoseView profile

Associate Professor

• Human-Computer Interaction
• Collaborative Systems
• Ubiquitous Computing
• +5 more

Clemens Nylandsted Klokmose is an Associate Professor at the Department of Computer Science, Aarhus University. His research focuses on collaborative systems, ubiquitous computing, and human-computer interaction, particularly in educational and cross-device contexts. He leads projects such as CoTinker and CCTD (Center for Computational Thinking & Design) , aiming to enhance computational thinking and adaptive interfaces. Klokmose’s work spans hybrid collaboration tools, gesture-based analytics platforms, and participatory design methodologies. Selected projects include DashSpace (2025) for immersive analytics, TableBot (2024) for telepresence robotics, and MyWebstrates (2024) for local-first software. He collaborates extensively with educators and researchers to bridge theory and practice in computing education. His contributions address challenges in multi-device ecosystems, adaptive UI design, and ethical AI integration. He has been involved in research initiatives since 2012, including Shared Surfaces and PLACED , exploring activity-centric digital services. His work emphasizes user-centered design principles and real-world applicability across domains like libraries, classrooms, and workplaces.

• Resource-Aware Machine Learning
• Data Processing on Resource-Constrained Hardware
• Storage Systems
• +5 more

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.

Arthur ZimekView profile

Professor

• Outlier Detection
• Clustering Algorithms
• High Dimensional Data Analysis
• +3 more

Arthur Zimek is a Professor and Head of the Data Science section at the Department of Mathematics and Computer Science, University of Southern Denmark. He holds a Dr. rer. nat. habil. (Habilitation) from Ludwig-Maximilian University of Munich. His research focuses on outlier detection, clustering algorithms, high-dimensional data analysis, and machine learning. Zimek has held guest professorships at TU Vienna and has been a postdoctoral fellow at the University of Alberta. Education includes a Diploma in Bioinformatics, Magister Artium in Philosophy, and a Diploma in Theology, all from German institutions. His work emphasizes algorithm development and evaluation, with contributions to open-source tools like ELKI. He has received awards including the ACM SIGKDD 2017 Notable Article and the 2025 Author Service Award. Key research areas include clustering validation, semi-supervised learning, and interpretable machine learning. Projects involve cardiovascular disease prediction and synthetic data evaluation. He teaches courses on data mining, statistical learning, and spatiotemporal data analysis.

Paul Bruce McIlvennyView profile

Professor

• Communication Theory
• Qualitative methods
• Media Ethnography
• +9 more

Paul Bruce McIlvenny is a Professor at the Department of Culture and Learning within the Faculty of Social Sciences and Humanities at Aalborg University. He leads research initiatives in the CLD (Communication, Language, and Discourse) Centre and the VILA - Video Research Lab . His work focuses on qualitative research methodologies, particularly in video-based analysis and immersive technologies. Education: Not explicitly stated in provided texts. Projects: Leads major projects like Big Video, CAVA360VR, and SIMVIDIA, focusing on immersive analytics, collaborative tools, and volumetric capture. Research Interests: Includes conversation analysis, discourse studies, mobility research, and innovative uses of virtual reality in qualitative methods. He advocates for 'Big Video' approaches integrating spatial and sensory data. Labs/Teams: Director of VILA Lab, collaborating with transdisciplinary teams on immersive technologies and qualitative innovation. Grants/Activities: Over 20 projects since 1998, with recent emphasis on software development for collaborative analysis (e.g., AVA360VR). Active in international conferences and editorial roles. Publications emphasize methodological innovation, including volumetric performance capture and spatial audio analysis. His work bridges social sciences with digital humanities through immersive technologies.

Stefan JänickeView profile

Professor

• Visual Analysis
• Cultural Heritage
• Visual Analytics
• +7 more

Stefan Jänicke is a Professor in Data Science at the University of Southern Denmark , affiliated with the Department of Mathematics and Computer Science and the STEM Center for Educational Research . His interdisciplinary work bridges Visual Analytics , Cultural Heritage , Musicology , and Ecology , focusing on digital storytelling and conservation. Research Focus: Visual Analysis of historical and cultural data, digital approaches to Holocaust education, and conservation of species and cultural artifacts. Projects: Participated in EU H2020’s InTaVia, Danish Ministry of Defense’s CUIIS, and Ministry of Education’s concentration camp memorial virtualization. Publications highlight trends in merging Computer Science with Ecology (e.g., species conservation), Humanities (e.g., Nazi persecution heritage), and Visual Analytics for legacy data enrichment. Scientific Awards: EU H2020 grant (InTaVia Project) Forsvarsministeriet co-financing (CUIIS Project) Uddannelses-og Forskningsministeriet grant Teaching & Supervision: Leads PhD supervision and teaches data visualization, combining technical rigor with societal impact.

Chen LIView profile

Associate Professor

• Human Robot Interaction
• Industrial Robotics
• AI for Manufacturing
• +3 more

Chen LI is an Associate Professor in the Department of Materials and Production at Aalborg University, Denmark. His work focuses on advancing smart manufacturing through AI-driven robotics and 5G-enabled production systems. He leads research projects involving historical figure emulation in robotics, human-robot interaction, and AI at the edge for industry 5.0. His interdisciplinary approach bridges software architecture, industrial automation, and cognitive modeling. Key projects: Time-Traveling Conversations (Villum Foundation), Human Robot Interaction dialog systems, and AI REDGIO 5.0 for SME manufacturing Collaborations span institutions like Seoul National University and industry partners Research interests include: AI ethics in dialogue systems Edge computing for real-time manufacturing Virtual assistant architectures Robot speaking style imitation Over 70 publications (2009-2025) span topics like anomaly detection frameworks, defect prediction models, and hybrid power system analysis. Active in conferences such as HRI2021 and workshops on AI in performing arts.

Morten Grud RasmussenView profile

Associate Professor

• Renewable Energy Systems
• Energy Engineering
• Power Systems
• +3 more

Morten Grud Rasmussen is an Associate Professor at the Department of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. His research spans renewable energy systems, mathematics education, and problem-based learning (PBL). He has contributed to projects like 'myPBL-VRMath: Micro-PBL in Mathematics using Virtual Reality' (2024-2025) and 'PBL og matematik: Hvordan kan PBL fungere på universitetets grundfag?' (2018-2019). His work emphasizes integrating VR for abstract mathematics teaching and optimizing renewable energy systems. Collaborations include projects on near-optimal solutions for highly renewable energy systems and pedagogical innovations in engineering education. Research interests include energy system flexibility, socio-economic analysis of renewables, and PBL methodology. He has published on topics ranging from solar power generation to interdisciplinary curriculum design. His recent work explores student experiences with VR-based learning and PBL contextualization in mathematics education. Notable contributions include modeling renewable energy alternatives and exploring storage synergies in pan-European grids. He actively participates in educational workshops and collaborates with institutions like the University of Agder, Norway.

• Artificial Intelligence
• Educational Technology
• Learning Analytics
• +3 more

Euan D. Lindsay, a researcher at Aalborg University in Denmark, focuses on the intersection of artificial intelligence and educational technology. His work explores the transformative potential of generative AI in academic feedback systems, learning analytics, and problem-based learning environments. A recurring theme in his research is the ethical and practical implications of automating educational processes. Research Interests: Lindsay’s scholarship spans Artificial Intelligence , Educational Technology , and Learning Analytics , with specific attention to generative AI applications, automated assessment tools, and pedagogical innovation in problem-based learning. He also investigates systemic reforms in higher education, particularly through the lens of academic leadership in Poland. Recent Work: In 2025, Lindsay published on generative AI ethics , Polish higher education reform , and student perspectives in AI-integrated classrooms. Earlier in 2024, his studies concentrated on automated assessment systems , learning analytics dashboards , and large language models for feedback . These contributions highlight his commitment to leveraging AI for scalable, data-driven educational improvements.

Morten AagaardView profile

Part-Time Lecturer

• Content Analysis
• Social Competence
• Functional Role Analysis
• +5 more

Morten Aagaard is a Part-Time Lecturer at the Department of Communication and Psychology within the Faculty of Social Sciences and Humanities at Aalborg University. His work focuses on innovative applications of technology in education and healthcare, particularly in autism support systems and persuasive technology. He has been actively involved in interdisciplinary research projects addressing societal challenges such as youth inclusion and cognitive support for individuals with special needs. Key research interests include content analysis, audience segmentation, and the development of human-centered digital tools. Aagaard has contributed to influential EU-funded initiatives like the HANDS Project , which aimed to create mobile cognitive support systems for teenagers with autism spectrum disorder (ASD). His work bridges academic research with real-world applications, emphasizing user-centric design and evidence-based methodologies. He has authored over 20 publications across peer-reviewed journals, conference proceedings, and technical reports, with notable contributions in venues like Persuasive Technology Conferences. Aagaard’s activities include organizing academic events, serving on project steering committees, and collaborating with media outlets to disseminate research findings. His projects often involve collaboration with international partners across Europe and focus on translating technological innovations into practical solutions for marginalized groups. Notable achievements include the development of mobile applications for ASD support, the creation of mixed-methodological frameworks for audience analysis, and contributions to policy briefs on ICT for youth inclusion. He maintains an active role in academic communities through conference participation and committee memberships, reflecting his commitment to advancing both theoretical and applied research in human-centered technology.

Ole Lehrmann MadsenView profile

Professor

• Object-Oriented Programming
• Object-Oriented Languages
• Software Architecture
• +4 more

Ole Lehrmann Madsen is a Professor in the Department of Computer Science at Aarhus University, Denmark, specializing in object-oriented systems and software engineering with over 70 research outputs spanning five decades. His research centers on Object-Oriented Programming (100% fingerprint intensity), Object-Oriented Languages (93%), and Software Architecture, with significant contributions to distributed systems, concurrency models, and virtual machine design. Recent work explores foundational programming paradigms, debugging innovations through object-sequence diagrams, and reducing documentation needs via supplementary properties. Publications from 2022-2024 reveal consistent focus on object-oriented theory evolution, blending historical analysis with practical tool development. Key themes include modeling fundamentals, language semantics, and philosophical critiques of programming concepts, often co-authored with B. Møller-Pedersen. No scientific awards are documented in the source material. Madsen actively engages in research policy through committee memberships including Innovationsfonden (2014), CONNECT Advisory Forum (2013-2015), and DTU NanoTech Advisory Board (since 2009), demonstrating sustained influence in Danish technical education and funding frameworks.

Martin VeitView profile

Researcher

• Building Energy Performance
• District Heating Systems
• Full-Scale Building Element Testing
• +5 more

Martin Veit is a Research Assistant at Aalborg University's Department of Construction, Urban and Environmental Engineering within the Faculty of Engineering and Science. He is affiliated with The Architectural Engineering Section and the Research Group for Energy in Buildings. His work focuses on building energy performance, district heating systems, and full-scale building element testing. Veit's research interests center around energy performance engineering (95%), full-scale building testing (69%), district heating systems (69%), and building system engineering (49%). His work integrates experimental investigations with computational methods to analyze and optimize building energy use. He has developed expertise in heat meter data analysis, building performance simulation tools like BSim, and database architectures for energy research. His recent publications demonstrate a strong focus on building energy data, with significant contributions to datasets of smart heat and water meter data, operational building data for office rooms, and comparative studies of simulation tools. His work often involves collaboration with researchers across the Department of the Built Environment. Best Poster - Graduation Ceremony 2022, Department of the Built Environment Veit has been actively involved in two major research projects: 'Experimental investigations on the thermal performance of full-scale building elements' (2022-2024), where he contributed to full-scale testing and thermal performance analysis, and 'PRELUDE: Prescient building Operation utilizing Real Time data for Energy Dynamic Optimization' (2020-2024), focusing on heat meter data and energy performance optimization in district heating systems.

Luisa GiulianiView profile

Associate Professor

• Structural Engineering
• Fire Safety Engineering
• Structural Robustness
• +3 more

Luisa Giuliani is an Associate Professor at the Department of Civil and Mechanical Engineering Structures and Safety at the Technical University of Denmark. Her expertise spans structural robustness, nonlinear structural behavior, and fire safety engineering, with a focus on progressive collapse and infrastructure resilience. Education: PhD in Structural Engineering International Experience: Visiting researcher at TU Hamburg-Harburg (2008-2009, 2004-2005), Erasmus exchange student in Germany (1999) Her research investigates structural responses to exceptional actions like fire and explosions, contributing to sustainable design practices. Key projects include hydrogen tunnel safety (HyTunnel-CS) and fire protection of bridge cables. She employs advanced tools such as Abaqus, Ansys, and Fire Dynamics Simulator (FDS) for modeling. Recent work addresses fire-induced glass breakage, tunnel explosion mitigation, and hydrogen vehicle fire spread. She serves on scientific committees for conferences like NordicSteel and SEMC, organizing sessions on collapse safety and fire vulnerability. Languages: Italian (mother tongue), English and German (advanced), Danish (intermediate), French (basics). Software expertise includes FEM/CFD programs (Abaqus, FDS) and coding (Visual Basic .Net, APDL).