Jan Madsen is a Professor at DTU Compute, Technical University of Denmark, and Head of the Embedded Systems Engineering section. His research focuses on system-level modeling and design of embedded computing systems, particularly cyber-physical systems, microfluidic biochips, and synthetic biology applications. Develops design automation tools and methodologies for embedded systems Supervises numerous PhD students and leads major research projects Research Interests Key areas include: Embedded systems-on-a-chip Cyber-Physical Systems (Internet-of-Things) Microfluidic Lab-on-Chip devices Synthetic biology with molecular computing Design, modeling, and optimization of complex systems Scientific Awards DATE Fellow (2019) IEEE CEDA Outstanding Recognition (2019) DTU Scientific Advise Award (2013) Best Paper Awards at MECO (2013) and CASES (2009) Jorck’s Foundation Research Award (1995) Publications His 14+ journal papers and 115+ conference papers demonstrate expertise in: SystemC-based modeling frameworks Energy-aware sensor networks Self-healing eDNA architectures Microfluidic biochip synthesis RTOS modeling and MPSoC exploration
Jørgen Arendt Jensen is a Professor of Biomedical Signal Processing at the Technical University of Denmark (DTU), with dual affiliations in the Department of Health Technology and the Department of Electrical Engineering (DTU Elektro). He leads the Center for Fast Ultrasound Imaging (CFU), a collaborative initiative involving DTU, BK Medical, Rigshospitalet, and DTU Nanotech. His research focuses on advanced medical ultrasound technologies, including synthetic aperture imaging, vector flow imaging, and ultrasound simulation, aiming to improve clinical image acquisition efficiency and accuracy. He teaches medical imaging courses and co-initiated the joint biomedical engineering program between DTU and the University of Copenhagen. Jensen’s work contributes to UN Sustainable Development Goals related to health and innovation. His research interests span algorithm development for fast ultrasound imaging, blood velocity characterization, and simulation of ultrasound systems. He supervises multiple PhD students and collaborates on projects involving transducer design, real-time imaging systems, and microvascular pathology analysis. Recent publications emphasize advancements in super-resolution ultrasound imaging, transducer optimization, and pressure gradient estimation. His lab, CFU, develops cutting-edge imaging solutions for clinical applications. Jensen’s contributions include patents on ultrasound imaging techniques and collaborative ventures to enhance diagnostic capabilities through interdisciplinary engineering.
Lisbeth Verstraete-Hansen is an Associate Professor at the Department of English, Germanic and Romance Studies, University of Copenhagen (UCPH), where she also serves as Head of Department since 2021. Previously, she held roles at Copenhagen Business School (2009-14) and UCPH (2002-06). Her research focuses on French and Francophone literature , literary history , and transnational cultural transfer , particularly in the context of language policy and Danish-French intercultural relations . Ph.D. in French (Francophone Belgian) Literature (University of Copenhagen, 2002) DEA in Comparative Literature (Université Lille III, France, 1995) MA in French Studies (University of Copenhagen, 1992) Her recent work examines the international circulation of Francophone literatures and translation studies , with a focus on paratextual representation and language ideologies in higher education . She has published extensively in journals like Meta: Translators' Journal and French Studies in Southern Africa . Notable awards include Einar Hansens Legat for Fremstående Humanistisk Forskning and Chevalier dans l’Ordre des Palmes Académiques . She has led initiatives on parallel language use and participated in international conferences on linguistic policy and postcolonial studies .
Elli Anastasiadi is an Assistant Professor in the Department of Computer Science at Aalborg University, part of the Technical Faculty of IT and Design. She is a member of the DEIS (Distributed, Embedded and Intelligent Systems) research group, which focuses on formal methods, verification, and intelligent systems. Prior to her current role, she was a postdoctoral researcher at Uppsala University and completed her PhD at Reykjavik University. Education: PhD in Computer Science, Reykjavik University (2022) Master’s in Applied Mathematics and Computer Science, NTUA, Greece Her research centers on formal verification of concurrent and parallel systems , with emphasis on runtime verification, process algebra, and logical foundations. She works extensively with hyperproperties, modal logic, and equational reasoning. Her work bridges theoretical computer science with practical verification tools. Recent publications show a strong trend in logic-based verification , particularly in modal and temporal logics, recursion, and monitor synthesis. Her work often involves complexity analysis and axiomatization of logical systems. Scientific Awards: PhD grant from Reykjavik University research fund She has advised no publicly listed students yet and is actively involved in academic service, including co-organizing workshops and being an invited speaker. She collaborates closely with leading researchers in concurrency theory and formal methods. Labs and Teams: Member of the DEIS research group at Aalborg University, contributing to projects on verification, distributed systems, and intelligent decision-making.
Peter Sestoft is a Professor at the IT University of Copenhagen (ITU), leading the Computer Science Department since 2017. His primary roles include academic leadership, research in programming languages and software engineering, and teaching. He holds a PhD in Computer Science from the University of Copenhagen (1991) and has held academic positions at institutions like the Royal Veterinary and Agricultural University and the Technical University of Denmark before joining ITU in 1999. His research focuses on programming languages, functional and managed object-oriented languages, parallel programming, compilers, and spreadsheet implementation technologies. He has developed influential tools like the C5 Generic Collection Library for C# and Moscow ML, a Standard ML implementation. His work on Funcalc and Corecalc advanced spreadsheet technology with user-defined functions and efficient recalculation algorithms. Key contributions include over 30 publications, including books on programming language concepts and Java/C# syntax. He has led major research projects such as 'Popular Parallel Programming' (P3) and 'Probabli' for actuarial calculations. His academic service includes roles on national grant committees and international conference organizing committees. Notable advising includes PhD students like Andrzej Wasowski (ITU Professor) and David Christiansen (Director of Haskell Foundation). His work has been recognized through grants exceeding 25 million DKK and collaborations with institutions like Microsoft Research and Harvard University.
Ole Madsen is a Professor at the Department of Materials and Production within The Faculty of Engineering and Science at Aalborg University . His research focuses on Robotics and Automation , particularly in 5G Smart Production , AI for Manufacturing , and Industry 4.0 applications. He also holds a part-time position at Adding Robotics , applying his expertise in robot integration for industrial and healthcare settings. Research Interests : Robotics, Automation, AI, Sensor Systems, Modular Manufacturing, Welding Technology, Digital Twins, Human-Centered Robotics, Industry 4.0 His work spans 35+ years with over 205 publications , emphasizing smart production systems and robot-assisted processes . Key contributions include Swarm Production Architectures , 5G-Enabled Robotics , and Human-Robot Collaboration frameworks. He has supervised 10 PhD students and led major projects like RAU (Robot-Assisted Ultrasound) and GINP: Robotics & AI Innovation Network . Scientific Awards : SCAP2020 Best Presentation Award (2020) Ole's 31 projects include AP2030: Aseptic Factory 2030 (pharma production), AddSmart (robotics R&D), and 5G-Enabled Autonomous Systems . His 127 press/media mentions highlight advancements in robotic welding , industrial metaverse , and swarm production . He maintains an ORCID: 0000-0003-2133-2541 with extensive publication records across Swarm Robotics , Modular Manufacturing , and AI-Driven Production .
Martin Elsman is a full-time Professor in the Programming Languages and Theory of Computation section at the Department of Computer Science, University of Copenhagen (DIKU). He serves as head of the PLTC section and head of studies for the BSc education in Computer Science and Economics. Elsman is also an active maintainer of several software tools including the MLKit and SMLtoJs. Joined DIKU in 2012 after 4 years at SimCorp (2008-2012) and previous Associate Professorship at IT University of Copenhagen (2003-2008). Co-developer of Futhark, TAIL APL compiler, SMLtoJs, and SMLserver. Education: M.Sc. in Engineering, Technical University of Denmark Ph.D. in Computer Science, University of Copenhagen (DIKU), supervised by Mads Tofte. Research Interests: Elsman works on programming language design and implementation, with a focus on functional programming, module systems, domain-specific languages for financial contracts, region-based memory management, compilation techniques for parallelism, program optimization, and static type systems. His work spans both theoretical and applied domains, including blockchain-based financial contract execution, web technology, and GPU programming using functional languages. Publication Trends: His recent articles focus on functional programming, array programming, parallelism, and memory management. Topics include region inference, type systems for data-parallelism, program optimization techniques, and domain-specific compilation for financial and quantum computing. He frequently collaborates with Troels Henriksen and others on tools like Futhark and MLKit.
Martin Bach Jensen is a Professor at the Center for General Medicine within Aalborg University's Faculty of Health Sciences. With a parallel clinical and academic career spanning decades, his work bridges medical practice and research innovation. Current affiliations: Aalborg University, Faculty of Health Sciences, Center for General Medicine Expertise: Musculoskeletal disorders, Artificial Intelligence in healthcare, Ultrasound applications Research Focus : • Technology integration in general practice (AI, ultrasound) • Musculoskeletal pain management in primary care • Clinical decision support systems development • Medical education innovation Recent Work Trends : His 15 most recent publications reveal deep engagement with AI applications in diabetic retinopathy screening Ultrasound training programs for GPs Adolescent knee pain management tools Registry research methodology Academic Leadership : Active in Principal investigator roles in AI and ultrasound projects Co-investigator in musculoskeletal trials Medical curriculum development Teaching & Supervision : Continuous medical educator since medical school days, mentoring Medical students Physiotherapy candidates General practitioners PhD supervisees With a focus on technology-enhanced clinical education and course development.
Troels Henriksen is an Assistant Professor on Tenure Track at the Department of Computer Science (DIKU) at the University of Copenhagen, where he is affiliated with the Programming Languages and Theory of Computation research section. His research focuses on programming languages, particularly functional array programming languages, compiler design, and parallel computing. He maintains an active research profile with numerous publications in top-tier programming language conferences. Dr. Henriksen's research interests center around programming language theory and implementation, with particular emphasis on functional array programming languages. His work bridges theoretical foundations with practical high-performance computing applications. His research spans type systems, compiler optimizations, parallelism, and memory management in the context of array programming languages, contributing to both academic knowledge and practical language implementations. His recent publications reveal a strong focus on array programming language design and implementation. There is a clear trend toward optimizing functional array languages for high-performance computing environments, with significant work on fusion optimizations, parallelism, and memory management. His research often intersects with practical applications in scientific computing and machine learning, particularly through work on automatic differentiation for array languages. Dr. Henriksen is actively involved in the programming languages research community, regularly publishing in prestigious venues such as the ACM SIGPLAN conferences. His collaborations span multiple institutions, indicating an active research network in the programming languages field.
Davide Mottin is an Associate Professor at the Department of Computer Science, Aarhus University. His primary research focuses on graph theory, machine learning, and data mining, with significant contributions to knowledge graphs, algorithm design, and interdisciplinary applications in drug discovery and material science. He holds a leadership role in large international conferences such as CIKM 2024 as a Program Chair. His research explores scalable graph algorithms (e.g., subgraph matching, alignment), robust knowledge graph cleaning, and leveraging large language models for scientific tasks. Mottin has pioneered work on spectral methods for graph analysis (e.g., NetLSD, VERSE embeddings) and developed frameworks for interactive data exploration (e.g., X2Q, MetaExp systems). Key contributions include FUGAL for graph alignment and Ucode for community detection Active in reproducibility efforts, as seen in retraction notices and algorithmic redesigns Focus on practical applications in drug discovery via evolution-based models (EvolMPNN) He has authored over 60 peer-reviewed publications and holds grants supporting interdisciplinary research at the intersection of computer science and life sciences. Mottin is affiliated with the university's AI and data science initiatives, contributing to both theoretical advancements and real-world system implementations.
Jakob Lykke Andersen is an Associate Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where he conducts research in algorithms with applications in cheminformatics and complex systems. He also holds a former external appointment as a Research Fellow at the Tokyo Institute of Technology (2015–2017). Research Interests: His work lies at the intersection of computer science and theoretical chemistry, focusing on algorithmic methods for analyzing chemical reaction networks. He employs hypergraphs, mixed-integer linear programming, and probabilistic models to study metabolic pathways, reaction databases, and prebiotic systems. His research emphasizes computational efficiency, formal modeling, and software implementation. Publication Trends: His recent publications (2019–2025) show a consistent focus on graph-based modeling of chemical systems, rule extraction from reaction databases, thermodynamic feasibility, and stochastic analysis. These works appear in high-impact journals in cheminformatics, bioinformatics, and complex systems, reflecting strong interdisciplinary collaboration. Scientific Contributions: While no specific awards are listed, his sustained research output and leadership in funded projects highlight significant contributions to algorithmic cheminformatics. Grants and Projects: He is actively involved in two major ongoing research projects: (1) Software Infrastructures for Teaching at Scale (funded by Innovation Fund Denmark, 2022–2025), and (2) DIREC (Danish Research Center for Digital Economy, 2020–2025), indicating active engagement in both educational technology and core computational research. Advising and Outreach: While no students are listed, he participates in academic advising through project supervision. He contributes to public discourse through media appearances on topics such as mathematics in health (e.g., intestinal system modeling in obesity) and educational well-being. Labs and Teams: He collaborates with interdisciplinary teams, including researchers from bioinformatics, chemistry, and computer science, particularly through projects involving Merkle, Flamm, Fagerberg, and Stadler. His work is associated with algorithmic cheminformatics and software framework development groups at SDU.
Anders Bonde is an Associate Professor at Aalborg University's Department of Communication and Psychology, within The Faculty of Social Sciences and Humanities. His research focuses on music analysis, sound branding, media psychology, and the interplay between music and audiovisual media. He employs both qualitative and quantitative methods, integrating diverse data into aesthetically informed frameworks. His work bridges musicology, media studies, semiotics, aesthetics, affective computing, and data visualization. Teaching responsibilities include courses in music theory, voice leading, sound branding, and epistemology across programs in Music, Communication, and Media Studies. He leads the Study Board for Art, Health, and Technology, overseeing programs in Music Therapy, Art and Technology, and Nordic master's programs in Visual Studies and Media Arts. Research projects include investigations into sound branding, audiovisual interaction effects, and multimodal meaning-making. Notable outputs include works on the aesthetics of ambiguity in 20th-century music, sensory atmospheres in retail contexts, and the effectiveness of non-musical sound branding. His work spans theoretical frameworks, empirical studies, and interdisciplinary collaborations. Recent articles explore interactive music visualization, sound branding conceptualizations, and the role of music in advertising. Media engagement includes commentary on sound branding strategies and its psychological impacts. Grants and collaborations reflect his commitment to bridging theoretical and applied research.
Kim Jørgensen is an Assistant Professor (20% part-time) in the Department of People and Technology at Roskilde University, Denmark, affiliated with the Health and Society Research Group. His work centers on mental health systems, recovery-oriented practices, and cross-sectoral collaboration between psychiatric hospitals and municipal services. His research employs critical discourse analysis to examine mental health policy framing, user involvement mechanisms, and professional implementation challenges. Key themes include the fragmentation of care transitions, discourse constructions of recovery, and power dynamics in interorganizational collaboration. He investigates how healthcare professionals navigate recovery-oriented models within existing structural constraints, with particular focus on Danish mental healthcare reforms. Recent publications (2024-2025) demonstrate methodological diversity through scoping reviews, qualitative studies, and critical discourse analyses. Dominant trends include cross-sectoral collaboration challenges (38% of recent works), recovery-oriented practice implementation (29%), and user involvement frameworks (22%), with increasing attention to children of mentally ill parents and digital self-harm. Dr. Jørgensen actively contributes to 9 research projects including the active 2024-2027 study 'Recovery-oriented care in mental health centres for users with severe mental difficulties' and serves as co-supervisor for PhD research on online self-harming behavior. His editorial work includes Nordisk Sygeplejeforskning (2025) and International Journal of Environmental Research and Public Health (2023-2024). He collaborates with interdisciplinary teams across mental health centers and municipalities, presenting findings at Nordic nursing conferences on recovery-oriented network meetings and professional experiences with cross-sectoral collaboration.
Martin Severin Frandsen is an Associate Professor in urban development and planning at Roskilde University's Department of People and Technology, affiliated with the Mobility, Space, Place and Urban Studies (MOSPUS) research group and the Center for Action Research and Democratic Societal Change. His research focuses on citizen participation, disadvantaged urban areas, and sustainability in planning through theoretical, historical, and participatory action research approaches. Teaching responsibilities include heading the Humanities and Technology Bachelor program (HumTek), instructing in urban planning modules (Plan, By & Proces), and supervising PhD candidates at the PhD School of People and Technology. He has contributed to transformative urban education through projects like the Urban Drama initiative. Key projects include 'Urban Drama - Conflict and Participation in Urban Development' (2022–present) and the Community Center Gellerup initiative (2005–2007). His work addresses urban policy discourses, parallel communities critique, and co-creation processes in disadvantaged neighborhoods. He actively engages in academic networks through editorial roles in journals like Dansk Sociologi and Nordiske Udkast. Publications span 50+ outputs including peer-reviewed chapters on Danish urban policy history, action research methodologies, and case studies of community development projects. His work intersects urban sociology, education innovation, and policy analysis with a focus on equitable urban futures.
Baoze Wei is an Associate Professor at Aalborg University's Department of Electric Power Systems and Microgrids, part of the Faculty of Engineering and Science. His research focuses on advanced control strategies for power electronics, microgrid stability, and energy management systems. He leads and collaborates on projects such as the Digital Twin-based Reliability Framework for Aviation Systems and Holistic Optimization of Green Fuel-Powered Microgrids. Key contributions include work on distributed energy systems, fault-tolerant architectures, and predictive maintenance for power electronics. His research emphasizes practical applications in renewable integration, smart grids, and industrial electrification. Wei has supervised one PhD student, Q. He, and contributed to projects funded by entities like Horizon JU and Huawei. Notable collaborations include work on hybrid-electric aircraft systems (HECATE) and advanced control algorithms for distributed converters. His research spans technical areas such as voltage source inverters, uninterruptible power systems (UPS), and DC shipboard microgrids. His publications reflect expertise in model predictive control, energy trading strategies, and condition monitoring. Current research trends include data-driven lifetime prediction for power electronics components and optimization of multi-energy systems. He actively participates in international conferences, contributing to both theoretical advancements and real-world system implementations.
