Anastasia Ioannou is an Associate Professor at the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). Her work focuses on energy systems, predictive control modeling, and sustainable development, with applications in wind energy and heat pump systems. Key Expertise: Wind Power Engineering, Variable Power Production, Predictive Control Models, Technoeconomic Analysis Research Trends: Recent publications highlight her contributions to data-driven wind turbine control, energy citizen profiling for policy design, and optimization of decentralized heating/cooling networks using machine learning and deep learning methodologies. Projects: She actively contributes to a consultancy project analyzing offshore wind potential in Ukraine, collaborating with international stakeholders. Activities: Presented at the IEA Wind Task 53 conference on uncertainty impacts in wind energy economics.
Arega Getaneh Abate serves as a Postdoctoral Fellow at DTU Management, Technical University of Denmark, with primary affiliations in the Department of Technology, Management and Economics. His institutional placement includes: Section for Energy Economics and Modelling Division for Climate and Energy Policy Based at Production Square, Building 424, Room 117 in Kgs. Lyngby, Denmark, he operates at the nexus of energy systems analysis and economic policy development. Abate's research program centers on quantitative approaches to energy transition challenges, specifically: Stochastic optimization for electricity market operations under uncertainty Renewable energy integration mechanisms and grid management Demand response program design and dynamic pricing AI-driven platforms for electric mobility and energy systems Contract theory applications in carbon-constrained markets Economic modeling of climate policy impacts His publication trajectory (2016-2025) reveals a methodological evolution from panel data analysis in development economics toward advanced computational techniques in energy markets. Recent work demonstrates increasing sophistication in handling uncertainty through stochastic programming and machine learning, with consistent focus on market design for high-renewable scenarios. The 2025 AI-platform study represents the current frontier of his research integrating mobility, generation, and grid systems. Within DTU's Division for Climate and Energy Policy, Abate contributes to a research ecosystem focused on evidence-based solutions for decarbonization, participating in cross-disciplinary projects addressing the economic dimensions of sustainable energy transitions.
Sebastian Basterrech is a Postdoctoral Researcher (Researcher) in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), actively contributing to interdisciplinary research at the machine learning-engineering interface. His work spans materials science, energy systems, and climate science with strong international collaborations. Research interests focus on: Physics-informed machine learning for additive manufacturing process optimization Time series forecasting of seasonal extremes and energy consumption using AutoML Topological data analysis for environmental landscape shift detection Neural network-enhanced materials characterization via instrumented indentation Recent publications (2024-2025) reveal a cohesive trajectory: integrating domain physics with data-driven models across diverse applications. Key trends include advancing continual learning for non-stationary energy data, developing topology-based change detection for environmental monitoring, and creating hybrid experimental-ML frameworks for materials science—demonstrating exceptional methodological versatility. Active collaborations with institutions across Europe and South America support this work, with consistent output in high-impact journals and conferences. The research group maintains computational resources through DTU's infrastructure, accessible via http://www.construct.dtu.dk , focusing on real-world engineering solutions aligned with sustainability goals.
Victor Puig I Laborda is a Postdoctoral Researcher at the Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), affiliated with the PROSYS - Process and Systems Engineering Centre. His interdisciplinary work bridges chemical engineering, computational fluid dynamics, and machine learning to advance bioprocess modeling and industrial scale-up methodologies. His research centers on developing digital twin technologies through integration of systems biology models and computational fluid dynamics. Key interests include bioreactor compartment modeling using flow-informed clustering, unsupervised learning for operational regime identification, and multi-scale process optimization. This work addresses critical challenges in translating laboratory bioprocesses to industrial production while maintaining efficiency and product quality. Victor's 2025 publications highlight an emerging trend toward data-driven bioprocess engineering: his CFD compartment modeling paper introduces computational efficiency gains for reactor simulations, while his unsupervised learning research enables real-time process monitoring. Both contributions demonstrate practical applications for industrial biomanufacturing scale-up challenges. As part of PROSYS, Victor contributes to DTU's leading process systems engineering hub, which fosters industry-academia collaboration through projects in bioprocess digitalization, reactor design optimization, and advanced process control. The center provides state-of-the-art computational resources and experimental facilities supporting cutting-edge research in sustainable chemical production.
Jan Vang is a Professor at the Department of Technology and Innovation, University of Southern Denmark, specializing in Global Sustainable Production. His research focuses on sustainable supply chains, occupational health, and regional economic dynamics. Active in projects related to sustainable leather tanning in Bangladesh and climate action narratives Collaborates with international researchers on environmental risk assessment and data-driven decision-making Research outputs emphasize sustainable futures, blockchain applications, and agglomeration effects Recent publications explore structural equation modeling in smart home adoption, blockchain for construction supply chains, and risk mitigation in green hydrogen logistics. His work connects sustainable technologies with organizational culture and emerging economies.
Anthony Carl Smith is an Adjunct Professor at the Faculty of Health Sciences , University of Southern Denmark, affiliated with the Research Unit for Pediatrics in Odense. His work focuses on telehealth , digital health literacy , and artificial intelligence in healthcare delivery. Key Research Areas: Telehealth systems, AI integration in clinical workflows, digital engagement for chronic disease management, and patient-centered telemedicine design. Recent Publications: Explore AI-driven telehealth models, validate trust metrics for remote consultations, and analyze consumer participation in digital health initiatives. Collaborative Networks: Active in interdisciplinary collaborations across nursing, pediatrics, and health services research, with a strong emphasis on chronic kidney disease and digital health equity . Dr. Smith’s 2025 publications highlight trends in large language models for healthcare, patient-provider teleconsultation dynamics, and digital literacy interventions for vulnerable populations. His work bridges clinical practice , technology development , and policy-oriented health services research .
Morten Thanning Vendelø is an Associate Professor at the Department of Organization, Copenhagen Business School (CBS), specializing in organizational responses to crises and innovations. His research spans crowd safety at events like Roskilde Festival, Arctic emergency management, and pandemic adaptation, co-founding the Copenhagen Center for Disaster Research (COPE) in 2012 to advance interdisciplinary disaster studies. His primary research areas include Crisis Management, Event Safety Management, Organizational Decision Making, and Sensemaking in Organizations. Vendelø investigates how organizations learn from unexpected events through field studies in high-stakes environments, emphasizing improvisation, collective mindfulness, and adaptive decision processes. His work bridges theoretical frameworks with practical safety protocols for festivals and emergency response systems. Recent publications reveal consistent focus on organizational adaptation during prolonged crises (e.g., Covid-19), crowd behavior analysis at mass gatherings, and intuitive decision-making under uncertainty. Key trends include ethnographic studies of safety practices, conceptualizations of 'cold disasters' in Arctic contexts, and the interplay between data-driven and intuitive judgment in crisis response. Vendelø has supervised over 100 master's theses and 8 PhD dissertations, including Katharina Christiane Nielsen Jeschke's 2022 study on dynamic safety practices in construction and Signe Bruskin's 2020 ethnography of bank organizational change. His research is supported by projects like the Nordic Centre of Excellence on Resilience and Societal Security and the Otto Mønsted Visiting Professorship. He actively contributes to the Centre for Organization and Time (COT) and co-founded COPE, developing practical tools like a learning game for Arctic Search and Rescue with Rasmus Dahlberg. His work integrates academic rigor with real-world safety applications through collaborations with emergency management institutions and event organizers.
Jie Cai is an Assistant Professor at the Department of Technology and Innovation, University of Southern Denmark, specializing in structural engineering, maritime operations, and data science. His research bridges computational methods with marine and pipeline mechanics. Key research areas include structural stability, residual strength analysis, lateral buckling, and data-driven maritime systems Recent work focuses on medical image segmentation (2025) and burst strength prediction for corroded pipelines (2025) Active in digital twin development for vessel operations and engine monitoring He has contributed to journals like Computers and Electrical Engineering , Ocean Engineering , and Journal of Marine Science and Application , with expertise in finite element analysis and anomaly detection. Jie Cai serves as a peer reviewer for journals including the Journal of Offshore Mechanics and Arctic Engineering and Energies , and teaches courses in data science, programming, and IoT applications at the master's and bachelor's levels.
Christian T. Veje serves as Professor and Head of the Department of Mechanics and Electronics (IME) at the University of Southern Denmark, leading research in energy systems and computational modeling with 144 publications. His work bridges theoretical numerical methods and practical engineering solutions for sustainable energy applications across thermal engineering domains. Research interests prioritize applied mathematical modeling, finite element analysis, and numerical simulation techniques focused on energy systems optimization. Specific applications include phase change materials for thermal storage, district heating networks, lithium-ion battery systems, heat pump technology, and predictive control models for energy performance enhancement. His fingerprint analysis reveals strong connections to thermal engineering subfields like regenerators and energy renovation. Recent publications (2022-2024) demonstrate concentrated innovation in renewable energy integration, waste heat recovery, and AI-driven building management. Key trends include hybrid thermal storage systems using phase change materials, techno-economic optimization of island energy grids, and liquid cooling solutions for data centers. His work consistently applies computational fluid dynamics and predictive modeling to solve complex energy challenges. No scientific awards were documented in the source materials. Veje has supervised 3 PhD students and secured leadership roles in multiple research initiatives including the Digital Twin for building decision support (2021-2024), PROMA predictive maintenance project (2021-2024), and NeGeV ventilation research (2018-2021). His grants address energy optimization, predictive maintenance strategies, and advanced thermal management systems through industry-academic collaborations. While specific laboratory names aren't provided, Veje actively participates in multi-institutional teams including the EUROFusion BB RH facility project (2024-2026) and has contributed to editorial boards for Energies and Energy Informatics journals, demonstrating cross-disciplinary engagement in energy research communities.
Jan Wilhelm Kornfeld is a Professor at the Department of Biochemistry and Molecular Biology, University of Southern Denmark, leading a research group focused on epigenetic regulation of energy metabolism in cardiometabolic diseases. After obtaining his PhD in Cell Biology from the Boltzmann Institute for Cancer Research (2008), he conducted postdoctoral research with Jens Brüning in Germany (2013), where he pioneered studies on obesity-associated microRNAs and hepatic insulin resistance. His independent research at CECAD (2013) and Max Planck Institute for Metabolism Research (2014) has been supported by prestigious grants including the Emmy-Noether Grant (2014) and ERC Starting Grant (2015). Education: PhD in Cell Biology, Boltzmann Institute for Cancer Research, Austria (2008) Postdoctoral Training, Jens Brüning Lab, Germany (2013) The Kornfeld Lab investigates epigenetic regulatory processes such as non-coding microRNAs (miRNA) and chromatin modifications that impact organismal, tissue, and cellular energy balance. Their research integrates molecular genomics , transgenic animal models , and inter-organ crosstalk to uncover disease-associated molecular signatures in obesity and type 2 diabetes (T2D). Key projects include miRNA perturbation in vivo, nutritional intervention strategies, and development of adeno-associated virus (AAV) gene therapy tools . Recent publications highlight work on dietary sulfur amino acid restriction , mitochondrial dysfunction in brown adipocytes, and miR-let-7 in intergenerational metabolic decline. His research spans transcriptional regulation , metabolomics , and non-coding RNA mechanisms in metabolic diseases. Scientific Awards: Emmy-Noether Grant (2014) ERC Starting Grant (2015) The lab actively trains Bachelor, Master, and ISA students in hypothesis-driven research, focusing on RNA-mediated gene regulation , chromatin dynamics , and (patho)physiological analysis . Collaborations with global experts and industrial partners enhance translational impact.
Per Vagn Freytag is a Professor at the Department of Business and Sustainability, University of Southern Denmark (DBS Kolding). He leads the Business-to-Business Marketing and Supply Chain Management research group, focusing on collaborative approaches to address societal challenges. Education: Ph.D. in Marketing, Copenhagen Business School (1986–1990) MBA (Marketing), Copenhagen Business School (1982–1985) Bachelor in International Commerce, Sønderborg Business School (1979–1982) His research centers on sustainable business models , market segmentation , and collaborative innovation within water sustainability, digitalization of industries, and cross-sector partnerships. Recent work explores IoT engagement mechanisms, B2B trade show evolution, and climate adaptation technologies. His publications demonstrate trends in business development for environmental challenges, qualitative methodologies , and cross-disciplinary applications in industrial and public sectors. Notable projects include EU-funded PREP4BLUE (2022–2025) and NEPTUN (2020–2023), focusing on water and climate solutions. He actively bridges academic and practical knowledge through part-time master's programs and industry collaborations.
Thorkil Thorsen serves as an Associate Professor at the Research Unit for General Practice within the Center for Health and Society, Faculty of Health and Medical Sciences, University of Copenhagen. His research focuses on qualitative investigations of primary care systems, particularly examining accreditation processes, organizational implementation, and pandemic-driven healthcare adaptations in Danish general practice. Thorsen's research program centers on understanding how healthcare standards translate into practice through qualitative analysis of accreditation events, peer facilitation dynamics, and technology adoption. His work reveals critical tensions between regulatory frameworks and clinical autonomy, with recent studies documenting significant practitioner resistance to mandatory accreditation programs and innovative adaptations during the COVID-19 pandemic's initial phase. Key collaborations include T. D. Due and M. B. Kousgaard on multiple longitudinal accreditation studies. Analysis of his 86 research outputs shows consistent methodological focus on qualitative approaches to examine systemic healthcare challenges, with emerging themes around crisis response innovation and the human dimensions of quality improvement initiatives. His publications demonstrate strong real-world impact through policy references and news coverage, particularly regarding pandemic consultation models. Thorsen maintains active academic engagement through the Research Unit for General Practice, which functions as a nexus for organizational research in primary care within the University of Copenhagen's health sciences framework. His work bridges theoretical organizational studies with practical quality improvement in community-based medical settings.
Tereza Blazkova is a Research Fellow at SODAS (Center for Social Data Science), University of Copenhagen, focusing on data-driven solutions to societal challenges through interdisciplinary research. Her core research areas include: Machine Learning Artificial Intelligence Educational Data Mining Algorithmic Fairness Social Data Science Blazkova's work centers on temporal dynamics of bias in educational algorithms, particularly analyzing how predictive models for student dropout evolve nationwide. Her 2025 L@S conference publication establishes her expertise in longitudinal fairness assessment, combining computational methods with social science perspectives to address equity in AI systems. As part of SODAS, she contributes to collaborative projects applying data science to real-world social issues, operating within Copenhagen's academic ecosystem focused on ethical technology development.
Anna-Sofie Stensgaard is an Associate Professor in the Department of Veterinary and Animal Sciences at the University of Copenhagen's Faculty of Health and Medical Sciences. Her research focuses on understanding vector-borne disease distributions and dynamics in a changing climate, with particular emphasis on the intersection between environmental change and disease ecology. As a vector and disease ecologist, Dr. Stensgaard's research aims at unraveling local to global scale drivers of vector-borne disease distributions and dynamics. Her work focuses on quantifying the effect of climate change versus other environmental drivers to make the best possible predictions about future disease spread and trends. Her research group employs a multidisciplinary approach combining field-collected and lab-based experimentally derived data with statistical and mathematical modeling to understand how anthropogenic changes such as climate change, biodiversity loss, and habitat disruption influence the distribution, dynamics and interactions between vectors, pathogens, hosts and reservoir species. Her recent publications demonstrate a strong focus on climate change impacts on parasitic and vector-borne diseases, with particular attention to schistosomiasis, trematode infections, dengue fever, and Fasciola species. She has increasingly incorporated environmental DNA techniques into parasitology research and has developed modeling approaches for disease prediction and early warning systems. Her work spans multiple continents with significant research activities in Africa, Europe, and Denmark. Dr. Stensgaard leads the EU Horizon 2020 project PREPARE4VBD (www.prepare4vbd.eu) and maintains an active research group called 'Parasites, Vectors and the Environment.' She has published 49 research outputs and contributed to 6 media engagements, demonstrating her commitment to both academic research and public science communication. Her work on climate-driven 'species-on-the-move' has been particularly impactful for public engagement with climate change issues. Her research addresses mosquito-, tick-, and snail-borne diseases such as Rift Valley fever, West Nile virus, TBE, and fascioliasis, with applications for improving model-based predictions and enhancing preparedness for emerging vector-borne and parasitic diseases of humans and animals. She advocates for integrating climate change education into both medical and veterinary curricula, reflecting her commitment to the One Health approach that connects human, animal, and environmental health.
Marcel Bogers is a Professor of Innovation and Entrepreneurship at the University of Copenhagen, working at the Unit for Innovation, Entrepreneurship and Management within the Department of Food and Resource Economics (IFRO) at the Faculty of Science. He also holds a significant external position as Garwood Research Fellow at the Garwood Center for Corporate Innovation at the Haas School of Business, University of California, Berkeley. His academic journey began with an M.Sc. in Technology and Society from Eindhoven University of Technology (1999-2004), followed by a Ph.D. in Management of Technology from Ecole Polytechnique Fédérale de Lausanne (2005-2009). His career progression includes Postdoc and Associate Professor positions at the University of Southern Denmark (2009-2015), Associate Professor at the University of Copenhagen (2015-2017), and his current position as Full Professor since 2017. Professor Bogers' research centers on the design, organization and management of technology, innovation and entrepreneurship, with particular emphasis on openness and participation in innovation processes. His work spans multiple domains including open innovation, business models, family businesses, user innovation, collaborative prototyping, improvisation, and university-industry collaboration. His approach integrates theoretical frameworks with practical insights to address complex innovation challenges across organizational boundaries. His extensive publication record (106 research outputs) reveals a clear evolution toward examining innovation at multiple analytical levels - from individual practices to ecosystem dynamics. Recent work shows increasing attention to AI's role in innovation processes, sustainable business model development, and the application of open innovation principles in public sector contexts. His publications appear in top-tier journals including Research Policy, California Management Review, and Journal of Product Innovation Management. Through his company 'Bogers Innovative Research', Professor Bogers extends his academic work into practical applications, offering keynotes, workshops, and training on innovation topics to diverse audiences including universities, companies, and policymakers. His forthcoming book 'Social Media for Research Impact' (scheduled for pre-order January 2026) reflects his commitment to enhancing research visibility and impact through digital channels.
