Allan Larsen is a Professor and Deputy Head of Division at the Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark. He heads the Operations and Supply Chain Management Section. His academic background includes an MSc in Applied Mathematics and a PhD in Operations Research, both from DTU. He teaches courses in Operations Management and Simulation at both undergraduate and graduate levels. Research Focus: His work applies operations research methodologies to complex planning problems in supply chain management, logistics, healthcare operations, and public transport. Key areas include urban freight transport, healthcare supply chains, and optimization of public transport resources like crew and fleets. Collaborations with industries, especially in freight transport, have been extensive. He previously co-directed the Transport DTU research center and co-chaired Denmark’s Transport Innovation Network. Education: MSc in Applied Mathematics (1989–1995), PhD in Operations Research (1997–1999), both from DTU. Recognition: Recipient of the Hedorf’s transportpris award in 2022 for contributions to transport research. Research Projects: Supervises multiple PhD students (e.g., on electric freight transport, healthcare resource optimization, and Industry 4.0 applications). Active in projects like 'Pioneering Electric Heavy-Duty Freight Transport' and 'Resource optimization in healthcare.' Labs/Teams: Leads the Operations and Supply Chain Management research group and collaborates in initiatives like the Transport Innovation Network, focusing on sustainable transport solutions.
Timo Minssen is Professor of Law at the University of Copenhagen (UCPH) and the Founding Director of UCPH's Center for Advanced Studies in Bioscience Innovation Law (CeBIL). He also holds affiliations as an LML Research Affiliate at the University of Cambridge and an Inter-CeBIL Research Affiliate at Harvard Law School's Petrie-Flom Centre. With extensive expertise in Intellectual Property, Competition, and Regulatory Law, Minssen focuses on the legal aspects of emerging health and life science technologies, including genome editing, big data, artificial intelligence, and quantum technology. His educational background includes a German law degree (Staatsexamen) from Georg-August-University in Göttingen, and Swedish biotech & IPR related LL.M., LL.Lic., and LL.D. degrees from Lund University and Uppsala University. His PhD thesis on the patentability of biopharmaceutical technology in the US & Europe received the prestigious Swedish King Oscar award. 2024: TUM Global Visiting Professor, Technical University of Munich (Germany) 2016: Visiting Research Fellow, University of Cambridge (UK) 2014: Visiting Research Fellow, University of Oxford (UK) 2013-14: Visiting Scholar, Harvard Law School (US) 2012: LL.D. - Doctor of Laws (Swedish "juris doktor"), EU/US patent law, Lund University, Sweden Minssen's research spans AI & Big Data in Health & Life Sciences, Sustainable and responsible innovation & tech transfer, Pharmaceutical-, Life Science- & Biotech Law, Comparative European & US Patent Law, Intellectual Property Law & Open Innovation, and EU Competition- & US Antitrust Law. His work addresses legal issues throughout the lifecycle of health and life science products and processes, from R&D regulation to technology transfer and commercialization. His extensive publication record includes 7 books and over 200 articles and book chapters published in leading journals such as Science, Nature Biotechnology, JAMA, and Harvard Business Review. His research has been featured in The Economist, Financial Times, and other major media outlets. Minssen's recent work shows a strong focus on AI regulation, quantum technology law, and data governance in health contexts, reflecting the evolving landscape of technology and law. Scientific Awards and Recognition King Oscar award for best Jur. Dr. thesis (2014) Jorcks Fonds Forsknings Pris (Jorck's Foundation Research Prize) (2017) Awapatent Research Prize (2009) Max Planck Research Scholarship (2005) Visiting Scholar appointments at Harvard Law School, University of Oxford, and University of Cambridge Recipient of a Novo Nordisk Foundation Grant for a "Collaborative Research Program in Biomedical Innovation Law" (2018) As an advisor, Minssen serves international organizations including the WHO, WIPO, and EU Commission. He has supervised numerous PhD students in areas including pharmaceutical law, biotechnology patents, and antimicrobial resistance. His current research projects include the Novo Nordisk Foundation's International Collaborative Bioscience Innovation & Law (Inter-CeBIL) Programme (50 million DKK), CLASSICA: EU Horizon Project on AI-assisted surgery, and AI@Care: Law and Ethics and Algorithmic Bias in Healthcare. Minssen leads the Center for Advanced Studies in Bioscience Innovation Law (CeBIL), which serves as a hub for interdisciplinary research on the intersection of law, technology, and innovation in the health and life sciences. The center collaborates with institutions worldwide to address pressing legal challenges in emerging technologies.
Jens O. Brunner is a Professor of Decision Science in Healthcare at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics. Previously, he held a professorship at the University of Augsburg until March 2023 and served as co-director of the University Center for Health Care (UNIKA-T) from 2013 to 2020. He earned his PhD from the TUM School of Management (2009) and a diploma in Business Administration from the University of Mannheim (2006). Roles: Professor, Department Editor for Health Care Management Science , and Associate Editor for multiple journals. Education: PhD in Management, TUM School of Management (2009) Diploma in Business Administration, University of Mannheim (2006) His research focuses on healthcare operations management and the application of quantitative methods to optimize service systems. Key areas include triage policies, staff scheduling, and AI-driven healthcare solutions. His work has contributed to improving resource allocation in hospitals and pandemic response strategies. Notable awards include the Harold W. Kuhn Award (2015) and the IISE/SSE Outstanding Innovation Award (2022). His research has been published in journals like IIE Transactions and European Journal of Operational Research . He supervises PhD students in projects such as AI-integrated pooling strategies and resource optimization in healthcare. His involvement in interdisciplinary collaborations and editorial roles highlights his leadership in advancing healthcare operations research.
Francisco Camara Pereira is a Professor and Head of Section at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on Intelligent Transportation Systems, Machine Learning, and Data-Driven Decision-Making in transportation contexts. He actively contributes to advancing transportation science through interdisciplinary approaches combining simulation, optimization, and AI techniques. His work addresses challenges in public transport analysis, charging infrastructure planning, and multimodal demand prediction. Recent projects include developing graph-based optimization methods for electric vehicle networks and causal discovery frameworks for transportation systems. He supervises multiple PhD students in areas like federated learning for cyclist safety, causal graph neural networks, and socially aware AI models. Key contributions include publications on smart card data analysis for travel surveys, stochastic infrastructure expansion models, and transfer learning for bike-share systems. His research aligns with UN Sustainable Development Goals related to sustainable cities and innovation. Dr. Pereira collaborates internationally on transportation policy and infrastructure projects. His lab focuses on translating theoretical advancements into practical solutions for urban mobility challenges.
Navid Bayati is an Associate Professor at the University of Southern Denmark, affiliated with the Institute of Mechanical and Electrical Engineering and the Centre for Industrial Electronics. He leads the Control and Protection of Smart Grids (CAP-SG) group and focuses on renewable/hybrid power systems, microgrid protection, and grid code compliance. Education: Ph.D. in Power Systems & Microgrid Protection (2020, Aalborg University); M.Sc. in Power Systems (2017, Amirkabir University of Technology) His research spans renewable energy integration , transient analysis , grid interconnection , and digital twin applications . Recent work includes machine learning for carbon emission prediction, fault localization in DC microgrids, and supercapacitor resilience in hybrid systems. Collaborations include projects like IEA Wind Task 50 and RePoSys , addressing grid renovation, life cycle assessment, and digital twin resilience. His teaching portfolio covers power electronics , energy management , and microgrid control .
Carsten Greve serves as Professor of Public Management and Governance and Head of the Department of Organization at Copenhagen Business School (CBS), where he maintains an office in room KIL/14.A-4.75 with contact number +4538153598. His academic leadership extends to directing departmental operations while maintaining an active research profile focused on the intersection of public sector management and private sector collaboration. At CBS, he teaches core courses including Leading Reform and Change for the Master of Public Governance program and Strategic Public Management Across the Public Sector , shaping the next generation of public sector leaders. Greve's research program centers on four interconnected domains: public management and governance systems, public management reform trajectories, public-private partnership frameworks, and market-based governance mechanisms. His work critically examines how privatization processes transform public service delivery, particularly in Nordic contexts where traditional welfare state models confront market-oriented reforms. Through comparative analyses of infrastructure projects and elderly care systems, he investigates the tension between efficiency-driven market mechanisms and democratic accountability requirements in public administration. His scholarship consistently bridges theoretical frameworks with Danish policy implementation challenges, especially in healthcare and transportation sectors. Recent publications reveal evolving research trajectories toward regulatory capitalism frameworks and agile governance models, with the 2025 Research Handbook on Privatisation synthesizing global privatization debates while the 2023 Handbook on Strategic Public Management advances collaborative governance approaches. His article corpus demonstrates increasing focus on temporal dimensions of reform implementation, risk allocation in complex partnerships, and the adaptation of public management practices in digitally transforming administrations. The recurrent Nordic case studies highlight distinctive administrative traditions navigating privatization pressures while maintaining public value commitments. No scientific awards or formal honors are documented in the available materials. Greve's supervisory record includes 10 successfully completed PhD dissertations at CBS, though specific student names and dissertation topics remain unlisted. His research activities generate substantial external engagement through presentations at national institutions including Rigsrevisionen (National Audit Office), Aalborg University, and Danske Professionshøjskoler, alongside international contributions to European Union policy reports. While grant funding details are unspecified, his prolific publication output across edited volumes, book chapters, and peer-reviewed journals indicates sustained research productivity.
Emmanouil Vasilomanolakis is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). He specializes in Cybersecurity Engineering, focusing on areas such as honeypot technology, cyber deception, IoT/OT security, and network security. His research contributes to the UN Sustainable Development Goals related to innovation and infrastructure. His research interests include: Cyber deception techniques and honeypot design for detecting and mitigating cyber attacks Security of Internet of Things (IoT) and Operational Technology (OT) devices, particularly their exposure to cyber threats Analysis of botnets and cybercrime activities on darkweb markets Social engineering attacks and human aspects of cybersecurity Development of tools for vulnerability analysis and network traffic monitoring His recent publications explore advanced cyber-deception strategies, the security of exposed IoT/OT devices, and the analysis of cybercrime activities. Key areas include device identification, vulnerability detection in industrial systems, and the impact of social engineering in cybersecurity. He currently supervises several PhD students including Kasper Elzer, António Cordeiro Urbano, Aigerim Safargalieva, Davide Maddaloni, and collaborates on projects like "Advanced cyber-deception techniques" and "Defending legacy and modern networks with cyber-deception". His research is supported by grants focused on collaborative security and deception-based defenses. He is part of research teams developing honeypot technologies and cyber deception frameworks, contributing to datasets like the hybrid IoT/OT honeypot collection.
Per Bækgaard is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), specializing in Cognitive Systems. He serves as Head of Study for Human-Centered Artificial Intelligence, leading research in human-computer interaction, user experience, eye tracking, and cognitive neuroscience. His work bridges AI and human cognition to create systems that enhance daily life and support meaningful tasks. PhD, MSc EE, Technical University of Denmark His research interests center on Human-Computer Interaction (HCI) , User Experience , and Human-Centered Artificial Intelligence , with strong emphasis on Eye Tracking , Cognitive Neuroscience , and Digital Media . He explores how digital systems can adapt to users’ cognitive states using physiological signals like pupil dilation and gaze patterns, aiming to improve learning, health, and decision-making. His work aligns with UN Sustainable Development Goals in health and education. The recent publications reflect a strong trend in integrating eye tracking and pupillometry with AI-driven adaptive systems , particularly in education and healthcare. Themes include generative AI in learning , trustworthy AI in supply chains , and digital micro-interventions for mental health . The interdisciplinary nature spans computer science, psychology, and biomedical engineering, showcasing a cohesive focus on human-centered technology evaluation. Scientific Awards: Best Paper Award, 26 Jun 2020 – for contributions to gaze interaction research Per Bækgaard actively supervises PhD students and leads multiple research projects, including those involving generative AI in education , digital phenotyping , and AI in nursing and mental health . He is the main supervisor for several PhD projects and a co-supervisor or examiner in others, demonstrating a strong commitment to academic mentoring. His grant involvement includes projects funded by DTU and collaborative research initiatives in digital health and AI. He is part of the Cognitive Systems group at DTU, contributing to interdisciplinary research in AI, neuroscience, and human factors. His team collaborates on projects involving real-time physiological monitoring, adaptive interfaces, and AI-mediated learning systems, positioning him at the forefront of human-centered AI research in Scandinavia.
Claus Bossen is a Professor at the Department of Digital Design and Information Studies within Aarhus University's School of Communication and Culture. His research bridges participatory design, healthcare digitization, and data work. Primary Affiliation: School of Communication and Culture, Department of Digital Design and Information Studies Research Focus: Data-driven healthcare, information infrastructures, and participatory design Email: clausbossen@cc.au.dk Research Interests span critical areas in healthcare digitization, including: Emergence of data work professions Human-AI collaboration in clinical documentation Design of healthcare information systems Infrastructure governance and quality improvement Digitization's impact on non-clinical staff Participatory design scaling mechanisms Recent Publications (2024-2025) show a trajectory toward: Global-local data integration challenges Professional adaptation in data-intensive settings Digitization's soco-technical implications Empowerment through data work practices Emergency healthcare system analysis Human-AI collaboration frameworks Current Projects include: LIVSTEGN: Monitoring technologies for safe dementia care Making Data Work Visible: Professional changes in healthcare Acute healthcare treatment pathways
Izabela Ewa Nielsen is a Professor at Aalborg University's Department of Materials and Production under The Faculty of Engineering and Science. Her research focuses on artificial intelligence applications in operations research, unmanned aerial vehicles (UAVs), genetic algorithms, and mobile robotics. She holds a degree from Warsaw University of Technology (25 Oct 2025). Research Interests: Her work integrates AI with logistics optimization, health data analysis, and sustainable supply chains. Notable projects include the EU-funded 'Operational Reliability Management System (ORMS)' and 'UAWORLD', exploring UAVs in industrial settings. Projects & Collaborations: Leading ORMS (2016-2019) to enhance operational reliability through AI-driven solutions. Contributing to TAPAS (2010-2014), advancing robotics in factory automation. Co-developing ValuePole (2008-2011) for SME performance optimization. Advising & Grants: Supervised projects such as the EU classification methodology study (2022-2023) and contributed to over 6 major research initiatives. Her work frequently involves interdisciplinary teams and industry partnerships. Labs & Teams: Active in AI for Operations Research labs, collaborating with robotics and logistics experts. Her group focuses on real-world applications of autonomous systems in manufacturing and healthcare.
Devika Kannan is an Associate Professor at the Department of Technology and Innovation , University of Southern Denmark, and a member of the SDU Centre for Sustainable Supply Chain Engineering . Her work focuses on integrating sustainability into supply chain practices, particularly for SMEs. Research Interests : Supply Chain Management, Reverse Logistics, Green Supply Chain, Multi-Criteria Decision-Making, Closed Loop Systems, Circular Economy, and SMEs. Recent Projects : Circular economy to minimize waste challenges in Indonesia (IndoCircularWaste) (2021-2024), SDG Tools - Toolkit for the implementation of SDGs through the Circular Economy Practices (2020-2023). Scientific Awards : Emerald Citations of Excellence for 2017 Grants : Recipient of DKK 5 million from the Carlsberg Foundation (2021) to study female entrepreneurs in the green economy. Publications highlight trends in sustainable reverse logistics, smart waste management frameworks, blockchain integration in manufacturing, and machine learning applications in healthcare and supply chain optimization. Editorial Roles : Editor for the International Journal of Advanced Operations Management and International Journal of Business Performance and Supply Chain Modelling (since 2016).
Ingemar Johansson Cox serves as a Professor within the Machine Learning section at the Department of Computer Science, University of Copenhagen. His research bridges theoretical machine learning foundations with practical applications across medical data analysis, information retrieval, remote sensing, and sustainability initiatives. His research portfolio emphasizes machine learning applications in high-impact domains, particularly medical data analysis (e.g., early detection of gynecological malignancy using online search activity) and sustainability (e.g., reducing AI's carbon footprint). The Machine Learning section actively contributes to the university's SCIENCE AI Centre, focusing on both algorithmic innovation and real-world problem-solving in biological modeling and environmental monitoring. Recent publication trends reveal expanding work in quantum computing applications for biomolecular modeling, sustainable AI frameworks, and cross-cultural NLP systems. His 2024-2025 output demonstrates strong interdisciplinary collaboration, especially in medical informatics and climate-related AI research. Professor Cox operates within the Department of Computer Science's robust research ecosystem, which includes dedicated compute clusters and specialized initiatives like TreeSense for global tree resource monitoring through remote sensing and deep learning. The department's infrastructure supports large-scale machine learning projects requiring significant computational resources.
Kathrine Hald serves as a Researcher at Aalborg University's Department of Clinical Medicine within the Faculty of Medicine, affiliated with the Danish Center for Health Services Research in Gistrup, Denmark. Her work focuses on advancing evidence-based practices through methodological research in health services implementation. Her research centers on implementation science using the Quality Implementation Framework, with significant contributions to systematic and umbrella review methodologies. She specializes in register-based epidemiological studies, particularly examining attention deficit hyperactivity disorder (ADHD) prevalence and incidence in Danish national health registries. Additional expertise spans mental health services research, welfare sector implementation, and social science applications in healthcare delivery. Recent publications demonstrate a clear trajectory toward refining implementation frameworks while leveraging Denmark's comprehensive national registers for psychiatric epidemiology. Her work bridges methodological rigor with practical healthcare applications, particularly in mental health service delivery and evidence-based policy development across health, welfare, and social sectors. Scientific awards: None documented in available materials. Kathrine Hald actively collaborates with institutional partners including S.P. Johnsen and A.G. Ording across multi-author publications. While no student supervision or specific grant details are mentioned, her co-authorship on center reports indicates integral involvement in institutional research operations. She operates within the Danish Center for Health Services Research ecosystem, contributing to its collaborative network evidenced by cross-institutional publications. Her work aligns with the center's mission to improve healthcare quality through evidence generation and implementation science.
Hansjörg Selter is a Physician Scientist at the Department of Anaesthesiology and Intensive Care within the Faculty of Medicine at Aalborg University Hospital . His work focuses on clinical research in postoperative care, pain management, and patient experience. Research Interests Postoperative pain management Patient experience analysis Impact of intubation tube size Early discharge protocols IV antibiotic treatment optimization Key Publications Selter’s recent research explores trends in postoperative sore throat and hoarseness through randomized controlled trials, large cohort studies on pain after surgery, and evaluations of early discharge using PICC lines. His work emphasizes clinical practice improvements and patient-centered outcomes.
Kathrine Carstensen serves as a Part-time Lecturer and Researcher at Aarhus University's Department of Public Health, specializing in health services research with a focus on quality improvement collaboratives and welfare governance. Her work bridges academic theory and practical healthcare implementation across Denmark's public health system. Her research interests center on Quality Improvement in Healthcare , Implementation Science , and Welfare Governance , examining how healthcare professionals engage in quality initiatives, the role of welfare professions in institutional change, and translational challenges in collaborative programs. Specific domains include maternal health decision-making, elder care innovation, and mental health promotion within community settings. Analysis of her publication portfolio reveals consistent exploration of implementation barriers and professional agency in Danish healthcare quality programs. Her work demonstrates methodological diversity through qualitative case studies, mixed-methods evaluations, and multisite research, primarily contextualized within Denmark's national healthcare framework with implications for international health systems. Carstensen has led significant research projects including: OBS; Igangsættelse af fødsler efter termin (2018-2019) on late-term labor induction experiences Professions and innovation in elderly care (2018) examining welfare governance Fetal Medicine: Downs syndrome diagnosis (2016-2018) studying prenatal counseling Health promotion in community psychiatry (2014-2016) on physical health interventions These projects reflect sustained engagement with healthcare implementation challenges across multiple service domains.
