Torben M. Andersen is a Professor at the Department of Economics and Business Economics, Aarhus University. He holds an M.Sc. from the London School of Economics (1981), a Lic. Oecon from Aarhus University (1994), and a PhD from CORE, Université Catholique de Louvain (1986). His research focuses on the Nordic welfare model, public economics, labour economics, and pension economics. He has published over 400 articles in top journals and contributed to policy advisement for Denmark, the EU, OECD, and the World Bank. He currently chairs the DREAM modelling group, the Economic Council for Greenland, and the Danish pension fund ATP. He also serves on boards of Aarhus University Research Foundation, Systemic Risk Council Faroe Islands, and others. Key research areas include welfare state sustainability, public expenditure prioritization, and pension reform impacts. His recent work explores mortality risk hedging and wealth inequality dynamics. He is a fellow at CEPR, IZA, and CESifo.
Olga Saukh is an Associate Professor at the Institute of Technical Informatics, Graz University of Technology (TU Graz), and a Faculty member at the Complexity Science Hub Vienna (CSH). She leads the Embedded Learning and Sensing Systems research group, which operates across both institutions, focusing on the design and deployment of efficient AI-based systems on edge and mobile platforms. Her work bridges deep learning and embedded systems, with applications in environmental monitoring, precision agriculture, and digital health. Ph.D. in Computer Science, University of Bonn (2009) Habilitation in Embedded Systems, TU Graz (2020) Postdoctoral Training, ETH Zurich (2010–2016) B.Sc. in Applied Mathematics, Taras Shevchenko National University of Kyiv (2002) M.Sc. in Applied Computer Science, University of Freiburg (2004) Her research centers on efficient machine learning, particularly model optimization, neural network pruning, and contrastive learning for resource-constrained devices. She is deeply engaged in solving real-world challenges in IoT, sensor networks, and cyber-physical systems. Her work emphasizes data privacy, sustainability, and practical deployment of AI at the edge. The 15 most recent publications highlight a strong trend in efficient deep learning, including model compression, pruning, and transfer learning, applied to diverse domains such as environmental sensing (air quality, pollution tracking), digital agriculture (cattle farming), and embedded AI (sensor calibration, on-demand sensing). Her work frequently appears in top-tier venues like NeurIPS, ICLR, and IEEE/ACM IPSN, reflecting her leadership at the intersection of machine learning and embedded systems. Scientific awards include: CONET Ph.D. Academic Award (2010) Multiple Best Paper Awards at IEEE PerCom, ACM/IEEE IPSN, IEEE ICPADS, IEEE SECON, and UrbCom Spotlight and Oral presentations at ICML and CoLLAs workshops Ph.D. scholarship from IPVS, University of Stuttgart (2004–2005) Prizes in Ukrainian national mathematics competitions (1996–1998) Olga Saukh actively serves on program committees of leading international conferences in machine learning and embedded systems. She has advised multiple students and leads a collaborative research group spanning TU Graz and CSH Vienna. Her group develops practical AI systems for real-world deployment, with a focus on sustainability and privacy. She co-organizes the public EfficientML reading group and has secured recognition through numerous grants and awards. Her future work continues to explore the theoretical and practical challenges of deploying efficient, trustworthy AI in mobile and embedded environments. Her research group, Embedded Learning and Sensing Systems, operates jointly between TU Graz and CSH Vienna, fostering interdisciplinary collaboration across institutions. The team develops AI solutions for edge computing, sensor networks, and cyber-physical systems, with a strong emphasis on environmental sustainability and data privacy. Members work on joint challenges using advanced collaboration tools, reflecting the distributed nature of modern academic research.
Frede Blaabjerg is a Professor at Aalborg University (AAU Energy) , affiliated with the Faculty of Engineering and Science . Since 1998, he has pioneered power electronics research in applications such as wind turbines , photovoltaic (PV) systems , reliability engineering , and Power-2-X technologies. Education : PhD in Electrical Engineering (1995, Aalborg University) Honorary Degrees : Honoris Causa at University Politehnica Timisoara (2017) and Tallinn Technical University (2018) His research focuses on power electronics control , system optimization , and reliability for renewable energy and electric mobility . Recent work includes grid-forming converters , virtual synchronous generators , and smart EV charging systems. Key publication trends span 15+ years , with over 3,733 peer-reviewed articles and 900+ journal papers in power electronics , renewables , and energy storage . Notable book series: Control of Power Electronic Converters and Systems (4 volumes, Elsevier). Scientific Awards : 46 IEEE Prize Paper Awards 2020 IEEE Edison Medal 2019 Global Energy Prize 2014 IEEE William E. Newell Power Electronics Award Leadership Roles : Editor-in-Chief, IEEE Transactions on Power Electronics (2006–2012) Chairman, Danish Council for Research and Innovation Policy (2020–) President, IEEE Power Electronics Society (2019–2020)
Professor John W. Edmunds is a leading academic in Infectious Disease Modelling at the London School of Hygiene and Tropical Medicine (LSHTM). Holding a Professor position since 2013 and serving as Dean of the Faculty of Epidemiology and Population Health (2013-2019), he combines mathematical, statistical, and economic models to inform public health policy. His part-time role at the Health Protection Agency (HPA) since 2008 underscores his policy advisory contributions. PhD in Infectious Disease Modelling (Imperial College, 1994) MSc in Health Economics (University of York, 1995) BSc in Biology (Imperial College, 1989) His research focuses on understanding disease transmission and optimizing control strategies. He has pioneered methods integrating social contact surveys , participatory surveillance (e.g., Influenzanet), and economic analysis to evaluate vaccines and interventions. Recent work includes SARS-CoV-2 dynamics , Ebola spatial forecasting , and typhoid vaccine prioritization . His 15 most recent publications highlight social contact patterns (Reconnect, CoMix studies), vaccine impact (HPV, typhoid), and real-time outbreak analytics (Ebola, cholera). Key trends include digital epidemiology , behavioral surveillance , and cross-country modeling for global health. Knighthood (2024) for services to epidemiology Weldon Memorial Prize (2022) for biostatistics contributions FMedSci (2018) for medical science excellence OBE (2016) for public service As an educator, he teaches "Modelling and the Dynamics of Infectious Diseases" and co-organizes "Pandemics: Emergence, Spread and Response" . Current grants include National Institute for Health and Care Research projects on post-pandemic surveillance and Bill & Melinda Gates Foundation funding for polio eradication. He leads collaborations with the Centre for Mathematical Modelling of Infectious Diseases , Vaccine Centre , and Health in Humanitarian Crises Centre , while advising UK and WHO committees on zoonotic influenza , variants , and testing programs .
Diego Garlaschelli is Professor of Theoretical Physics at the IMT School for Advanced Studies in Lucca, Italy, and at the Lorentz Institute for Theoretical Physics, University of Leiden, the Netherlands. He leads the NETWORKS research unit at IMT and the Econophysics and Network Theory group at Leiden. He is also an external faculty member at the Complexity Science Hub in Vienna and an associate member of the Enrico Fermi Research Center in Rome. His affiliations reflect a strong international and interdisciplinary research profile in network science and statistical physics. He holds a master's degree in theoretical physics from the University of Rome III (2001) and a PhD in Physics from the University of Siena (2005). His postdoctoral experience includes positions at the Australian National University, the University of Siena, the University of Oxford, and the Sant’Anna School of Advanced Studies in Pisa. Garlaschelli’s research spans network theory, statistical physics, econophysics, financial complexity, ecological networks, and social dynamics. He applies maximum entropy models, information theory, and random graph frameworks to understand complex real-world systems. His teaching includes courses in Network Theory, Econophysics, and Complex Systems at both PhD and MSc levels. The 15 most recent publications highlight a consistent focus on network reconstruction, ensemble inequivalence, renormalization, and applications to financial and socio-economic systems. Key themes include statistical inference in networks, resilience, and multi-scale modeling, with publications in top journals such as Nature Reviews Physics , Physics Reports , Science , and Physical Review Letters . His scientific awards include the Best Paper Award at the 6th International Workshop on Self-Organizing Systems (2012) and the Jan Kijne Prize (2013) as supervisor. He has secured multiple grants from NWO, the European Union, and the Royal Society, and has supervised over 40 students at PhD, master’s, and bachelor’s levels. He also mentors postdocs and visiting scientists. Garlaschelli leads and organizes major international workshops and schools in network science and complex systems. He serves on scientific committees and is an active referee for journals like Nature and Physical Review Letters , as well as funding agencies including the ERC and NWO.
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.
Jacob Østergaard is a Professor and Head of the Division for Power and Energy Systems at DTU Wind and Energy Systems, Technical University of Denmark. His research focuses on renewable energy systems, offshore wind power hubs, and quantum computing applications in energy systems. He leads initiatives like EnergyLab Nordhavn and PowerLabDK, emphasizing collaboration between academia and industry. Education: MSc in Electrical Engineering from DTU (1989–1995). External positions include roles at Research Institute of the Danish Electric Utilities and Ørsted (now SK Energy). Research Interests: Power system stability, flexibility markets, offshore wind energy, quantum computing in energy systems, Power-to-X, and energy storage. He advocates for integrated, market-based energy systems to achieve the green transition. Publications highlight quantum computing for grid optimization, offshore energy hubs, and Denmark’s energy island strategy. Recent work emphasizes scientific advice for energy policy and green hydrogen production. Awards: A. Angelo’s Prize (1996), AEG Electron Prize (2007), Danish Design Award (2019), and EU RESponsible Island Prize (2020). Advising and Grants: Supervises PhD students in grid integration and control. Active in projects like OEH (Offshore Energy Hubs) and BOSS (Battery Energy Storage System). His work drives Denmark’s energy policy through roles on Energinet’s board and the Danish Energy Commission. Labs/Teams: Leads PowerLabDK and EnergyLab Nordhavn, experimental facilities for smart grid and energy system research.
Ole Wæver is a Professor of International Relations at the Department of Political Science, University of Copenhagen. He founded the Centre for Advanced Security Theory (CAST) and directs the Centre for Resolution of International Conflicts (CRIC) . His work spans security theory, conceptual history, and sociology of science, with global recognition for developing the Copenhagen School of securitization theory. Primary Research Areas: International Relations, Security Studies, Climate Change, Religion/Secularism, Conflict Analysis Notable Contributions: Pioneering securitization theory, interdisciplinary analysis of security concepts, and theoretical developments in regional security complexes. His recent work explores the intersection of technology, philosophy of language, and security. Scientific Awards: Royal Danish Academy of Sciences and Letters (2007) Carlsberg Foundation Research Prize (2012) Knight of the Order of Dannebrog (2014) Hesbjerg Foundation Peace Prize (2015) Honorary Doctorate, University of Turku (2015) Publications: Authored and co-authored influential books such as Security: A New Framework for Analysis and Regions and Powers , and contributed to leading journals including International Organization , Security Dialogue , and Millennium .
Trine Mygind Korsby is an Assistant Professor at the Department of Anthropology, University of Copenhagen, Faculty of Social Sciences. Her research is centered on the anthropology of transnational crime, with a focus on human trafficking, sex work, pimping, and criminal livelihoods. She conducts long-term ethnographic fieldwork in Romania, Italy, Portugal, and Denmark. Her primary research interests include: Anthropology of the body, desire, and labor Morality, perpetration, and ethnographic unease Skills and social relationships in criminal economies Collaborative concept-work and experimental research methods Her recent publications (2023–2025) reflect a deep engagement with the lived realities of traffickers and victims, the ambiguities of fieldwork in criminal settings, and the moral complexities of perpetration. Themes such as agency, visibility, time, and freedom recur across her work, particularly in urban and transnational contexts. She has received significant recognition, including: Marie Skłodowska-Curie Global Fellowship (2022) Elite Research Travel Grant from the Danish Ministry of Higher Education and Science (2013) Individual Postdoc Grant from the Independent Research Fund Denmark (2015) Korsby is affiliated with the Centre for Global Criminology and was a visiting scholar at UC Berkeley (2013) and a postdoc at Stanford University (2016–2018). In 2023–2024, she was selected for the UCPH Forward program for research leadership. Her current project, TRAFFICKER, explores the social relationships of convicted human traffickers and their integration of legal and illegal work, with a research stay at CUNY Graduate Center (2024–2025). She has co-edited a special issue on transnational street economies in Migration & Society (2023) and has contributed to public discourse through media appearances and articles challenging simplistic narratives about traffickers and victims.
Jesper Rangvid is a Professor of Finance and Director of the Pension Research Centre (PeRCent) at Copenhagen Business School (CBS), where he also serves as Associate Dean of the Executive MBA program . His research focuses on financial markets, macroeconomics, financial crises, household finance, and mutual funds. He has authored influential works such as How Low Interest Rates Change the World (Oxford University Press, 2025) and From Main Street to Wall Street (Oxford University Press, 2021), exploring topics like interest rate trends, economic growth, and policy impacts. He chairs the Council for Return Expectations and holds board positions at Formuepleje, Advantage Investment Partners, and Finansiel Stabilitet, among others. His advisory roles include Levring & Levring and projects for Danish institutions like Forenet Kredit and BankInvest. Recent research highlights include analyzing Denmark’s pension system reforms, fiscal-monetary policy interactions, and the implications of low interest rates on global economies. Rangvid’s publications combine rigorous academic analysis with policy relevance, addressing topics like dividend predictability, economic growth’s impact on asset returns, and the behavior of professional investors. His work often bridges theoretical frameworks with empirical data, offering insights into macro-financial linkages and policy design.
Tina Eliassi-Rad is Professor and the Inaugural Joseph E. Aoun Chair at Khoury College of Computer Sciences, Northeastern University in Boston. She serves as Core Faculty at the Network Science Institute and holds External Faculty positions at both the Santa Fe Institute and Vermont Complex Systems Institute. Additionally, she maintains Affiliated Faculty status across six Northeastern University institutes including the NULab for Digital Humanities and Computational Social Science, Global Resilience Institute, Cybersecurity and Privacy Institute, Institute for Experiential AI, and Internet Democracy Initiative. Her research spans: Data Mining & Machine Learning Network Science & Complex Systems Artificial Intelligence & Society She leads two major research initiatives: Trustworthy Network Science , which addresses explainability, transparency, stability, and robustness in network science ML algorithms; and Just Machine Learning , which examines broader complex systems where ML operates to understand and mitigate risks. Her work bridges theoretical foundations with societal applications. Dr. Eliassi-Rad's publication record demonstrates consistent focus on applying network science to critical societal challenges. Her recent research examines pandemic mobility patterns and cybersecurity threats using network-based approaches that combine epidemiological modeling with network analysis techniques. She actively mentors doctoral students through her RADLAB research group, currently advising PhD candidates Wan He (Network Science) and David Liu (Computer Science), along with PhD students Zohair Shafi and Samantha Dies (Computer Science). Her research has secured funding from prestigious organizations including the National Science Foundation, Department of Defense, Defense Advanced Research Projects Agency, Army Research Lab, and others. As leader of RADLAB, she directs research at the intersection of data science, network analysis, and societal impact, with particular emphasis on ensuring that technical advances in AI and network science serve societal needs responsibly and equitably.
Eva Sørensen is a Professor at the Department of Social Sciences and Business, Roskilde School of Governance, Roskilde University. Her work focuses on political leadership, co-creation, and network governance, with a particular emphasis on democratic quality and institutional development in public administration. Education: PhD in Political Science (1996), MA in Political Science (1989), both from University of Copenhagen. Research interests include: Metagovernance and network governance Citizen co-creation in local governance Robust governance in turbulent times Democratic theory and institutional development Recent article trends explore co-creation for sustainability, hybrid governance models, and the application of robustness theory to public administration challenges. Her collaborative research spans Denmark, Norway, and international contexts. Scientific awards : Best article in American Review of Public Administration (2011) Best Article in Public Administration (1998) Highly Commended paper (2020) Teaching and supervision includes extensive work with PhD students and mid-career master's programs. She leads major research projects like ROBUST (2022-2026) and GOGREEN (2022-2026), and previously directed the Danish National PhD School Polforsk (2008-2012). Labs and teams include the Center for Societal Security and Resilience (SECURE) and the Centre for Democratic Network Governance (CDN). She collaborates globally through networks like ECPR, ASPA, and IRSPM.
Christian Igel is a Professor at the Department of Computer Science, University of Copenhagen, and serves as director of the SCIENCE AI Centre . He is also a co-lead of the Pioneer Centre for Artificial Intelligence in Denmark. His academic journey includes a Doctoral degree from Bielefeld University (2002) and a Habilitation degree from Ruhr-University Bochum (2010). Igel is a Juniorprofessor (2002–2010) and has held editorial roles at journals like KI - Künstliche Intelligenz and Artificial Intelligence Journal . Doctoral degree: Faculty of Technology, Bielefeld University, Germany (2002) Habilitation degree: Department of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Germany (2010) His research spans Machine Learning , focusing on Support Vector Machines , Evolution Strategies , Reinforcement Learning , Deep Neural Networks , and PAC-Bayesian Analysis . He applies these methods to Environmental Monitoring , Medical Diagnostics , and Climate Research . Recent publications highlight work on adversarial machine learning , environmentally sustainable AI , and tree resource mapping using deep learning. His scientific awards include being a ELLIS Fellow . Igel’s software tools like Shark , woody , and Multi-Planar UNet are widely used in research and industry. Notable grants and collaborations involve projects with European Lab for Learning and Intelligent Systems (ELLIS) , SCIENCE AI Centre , and international teams in Denmark , Germany , and France . His lab leadership emphasizes open-source frameworks and reproducible research. Editorial Roles: German Journal on Artificial Intelligence , Evolutionary Computation Journal , Artificial Intelligence Journal Software Projects: Shark , woody , Multi-Planar UNet , U-Time Collaborations: SCIENCE AI Centre , Pioneer Centre for Artificial Intelligence , European Lab for Learning and Intelligent Systems
Britta Timm Knudsen is a Professor at Aarhus University, affiliated with the School of Communication and Culture, where she contributes to both the Experience Economy and Scandinavian Studies programs. Her research spans critical cultural theory, decolonial practices, digital media, and affective experimentation. University: Aarhus University School: School of Communication and Culture Position: Professor Email: norbtk@cc.au.dk Location: Jens Chr. Skous Vej 2, 8000 Aarhus C, Denmark Her research interests focus on cultural heritage, film and video, aesthetics, colonial legacies, and affective ambivalence. She explores how media and artistic practices engage with decolonial resistance, emotional geographies, and urban cultural memory. Her work often intersects with Indigenous perspectives, digital activism, and experimental methodologies. The recent articles reflect a strong engagement with decolonial visualities, translocal media events (such as the George Floyd video in Denmark), and playful resistance through internet memes. Her scholarship combines critical heritage studies with affect theory, digital culture, and postcolonial critique, forming a cohesive trajectory around memory, power, and representation. Britta Timm Knudsen has been involved in significant research projects such as Playing with Ghosts and ECHOES: European Colonial Heritage Modalities in Entangled Cities . She has supervised visiting PhD students, including Shama Patel, and secured external research funding. Her editorial roles in journals like International Journal of Heritage Studies and Nordicom Review demonstrate her academic leadership. Playing with Ghosts - Affective ambivalence in decolonial art practices (2023–2025) ECHOES: European Colonial Heritage Modalities in Entangled Cities (2018–2021) Emotionel geografi netværk (2008–ongoing) She is actively engaged in public discourse, having contributed to Danish media outlets such as DR P1 and various radio programs, discussing topics ranging from nostalgia in film to existential themes. Her work bridges academic research and public engagement, particularly in the context of colonial heritage and cultural memory.
Professor Lene Hansen is a leading scholar at the Department of Political Science , University of Copenhagen , with expertise in International Relations Theory and Security Studies . Her work integrates poststructuralism , feminism , and constructivism , focusing on the role of visual culture in shaping security narratives. She directed the Images and International Security project (2014–2017), funded by The Danish Council for Independent Research (7.4 million DKK). Education: Ph.D., M.A., and B.A. in Political Science from the University of Copenhagen (1998, 1994, 1992). Research Interests: Hansen explores the intersection of identity , discourse , and visual politics in international security. Her contributions include methodological frameworks for discourse analysis and critiques of securitization theory through feminist lenses. Article Trends: Her recent work emphasizes visual security practices (e.g., HIV/AIDS, refugee crisis), poststructuralist theory , and cultural analysis , often addressing how images and emotions shape international crises and policy. Scientific Awards: Elite Research Prize (2011) Multiple grants from The Danish Council for Independent Research (2013, 2009) Editorial Roles: She has served on editorial boards of International Theory , European Journal of International Relations , and Security Dialogue , and as Editor-in-Chief of European Journal of International Relations (2008–2013).
