Henrik Hansen is a Professor and Head of Department at the Department of Economics , University of Copenhagen , where he has held various academic and administrative roles since 1995. He is associated with the Development Economics Research Group (DERG) and affiliated with the Copenhagen Center for Disaster Research (COPE) network. Education : MSc in Economics (1991) and PhD in Economics (1995) from University of Copenhagen. His research focuses on development economics , with emphasis on development aid effectiveness , applied econometrics , and education research . He has conducted extensive fieldwork in Myanmar and Vietnam , analyzing enterprise surveys, household data, and policy impacts. Recent publications highlight productivity in manufacturing sectors, gender wage gaps, and credit access determinants. He teaches "Applied Research Methods" in the Global Development program and supervises development economics and applied econometrics students. Professional roles include editorial positions at Review of Development Economics and Asia & The Pacific Policy Studies , alongside advisory work for Statistics Denmark and Vietnamese Academy of Social Sciences . He has organized international conferences and contributed to 25+ media discussions on topics like corruption in Africa and development financing .
Henrik Rasmus Andersen is a Professor at the Department of Environmental and Resource Engineering, Water Technology & Processes at the Technical University of Denmark (DTU). His research focuses on water treatment processes, particularly the occurrence, transformation, and removal of micropollutants like pharmaceuticals and hormones. Key Research Areas: Chemical analysis, bioassays, ozonation, biofilter optimization, by-product profiling, and advanced oxidation processes. Projects: Leads initiatives like BIZON (ozone technology for fish farms) and Sustainable Industrial Laundry Wastewater Treatment , emphasizing sustainable solutions. Collaborations: Works with institutions such as University of Copenhagen and industry partners on municipal and industrial wastewater challenges. Education: Master of Science in Environmental Chemistry from Copenhagen University (1998).
Pedro Monteiro is an Assistant Professor (tenure track) in the Department of Organization at Copenhagen Business School. His research focuses on organizational expertise development, bureaucratic systems, and qualitative methods, with fieldwork in engineering firms and the public sector. Academy of Management Annals Best Article Award Louis Pondy Award recipient Max Boisot Award winner Poets and Quants Top 50 Undergraduate Business Professors 2024 Monteiro's work spans organizational theory, cybersecurity coordination, and migrant expertise challenges. He serves as Communications Editor for Administrative Science Quarterly and contributes to qualitative research communities through co-founding the Talking About Organizations Podcast and Ethnography Atelier. His research projects include a Gothenburg University collaboration funded by Otto Mønsteds Fond (2023). Current teaching includes Organizational Behavior at BSc level and Strategy, Organization & Leadership at MSc level.
Mikkel N. Schmidt is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on statistical modeling, Bayesian methods, and their applications in science and industry. He has held visiting roles at Columbia University (2007) and Cambridge University (2008-2009). His work integrates probabilistic modeling with computational inference to address complex problems in diverse fields such as molecular discovery, optical communication, and brain connectivity analysis. Education highlights include visiting scholar and postdoctoral experiences at top-tier institutions. Research interests span statistical methodology development, machine learning applications, and interdisciplinary problem-solving. Current projects involve Bayesian neural networks for molecular discovery and federated learning optimization. Advising efforts include supervising multiple PhD students in areas like molecular discovery and denoising diffusion models. Notable collaborations involve work on materials science, quantum communication, and medical signal processing. His contributions bridge theoretical advancements with practical industrial applications, emphasizing interdisciplinary innovation.
Prithvi Ravi Kantan is a full-time Researcher at Aalborg University's Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. His work focuses on developing sound-based and multimodal feedback systems for motor rehabilitation, integrating principles from music technology and biomedical engineering. Education: PhD in Embodied Sonification Design (2021-2023) M.Sc. in Sound and Music Computing (2018-2020) B.E. in Electronics and Telecommunications (2009-2013) Research interests include real-time auditory feedback systems for neurological rehabilitation, user-centered design of clinical technologies, and the application of generative music in data sonification. He actively contributes to projects like HearWalk (2023-2027), exploring sound-facilitated motor learning in cerebral palsy patients. Notable achievements include winning the Danish Sound Day Research Pitch Battle (2023) and receiving the Best Student Paper Award at ICAD 2024. His work aligns with UN SDG 3 (Good Health) and SDG 4 (Quality Education). Teaching responsibilities include coordinating bachelor and master-level courses in PBL-based learning, emphasizing interdisciplinary approaches. He has supervised multiple student projects and contributed to over 39 publications since 2013.
James A. Evans is the Max Palevsky Professor of Sociology and Data Science at the University of Chicago, where he is a faculty member in the Department of Sociology within the Division of the Social Sciences. He is the director of Knowledge Lab and the Faculty Director of the Masters Program in Computational Social Science . He holds additional affiliations as an External Professor at the Santa Fe Institute , External Faculty at the Complexity Science Hub, Vienna , and Visiting Faculty Researcher at Google . Education: B.A. in Anthropology, Brigham Young University (1994) M.A. in Sociology, Stanford University (1999) Ph.D. in Sociology, Stanford University (2004) His research centers on the collective system of thinking and knowing , exploring how ideas emerge, spread, and evolve through social and technical systems. He investigates innovation, collective intelligence, and the science of science , using large-scale data modeling, machine learning, generative AI, and network analysis to study knowledge creation. His work spans domains including science, technology, law, and religion, with a focus on how AI is reshaping discovery processes. The most recent publications highlight trends in AI and scientific discovery , with a strong emphasis on innovation, knowledge systems, and human-machine intelligence . His research increasingly explores AI as a transformative agent in science , including the concept of 'alien intelligence' and the development of complementary AI to augment human capacity. Projects like the $20M NSF-funded APTO initiative aim to build language models that predict technological outcomes by analyzing historical data. Scientific Recognition and Funding: Research supported by the National Science Foundation (NSF) , National Institutes of Health (NIH) , Air Force Office of Scientific Research (AFOSR) , and philanthropic sources Work published in Nature, Science, PNAS , and leading social science journals Featured in The New York Times, The Economist, The Atlantic, Wired, NPR, BBC, Le Monde , and others James Evans advises on science policy and funding strategies, emphasizing the importance of diversity, interdisciplinary collaboration, and demographic balance in fostering innovation. He critiques current academic incentives and proposes alternative discovery regimes. He leads Knowledge Lab , a collaborative research environment that conducts seminars, grants, and employment opportunities in computational social science and AI.
Remus Teodorescu is a Professor at AAU Energy , Aalborg University , specializing in Power Electronics System Integration and Materials . His work bridges Lithium-Ion Batteries , Modular Multilevel Converters , and Smart Battery Systems . Education : Not explicitly mentioned in the text. Research Interests focus on Battery Management Systems , AI-Driven Energy Optimization , and Power Electronics for renewable energy integration. Key projects include Digital Twin for Lithium-Ion Batteries and BMS-DC for Data Centers . Recent Publications (2025) emphasize Finite Set MPC , Gradient Descent Optimization , and AI in Battery Parameter Estimation . His 2024 work explores Physics-Informed Neural Networks and Fault-Tolerant Converters . Scientific Awards : Villum Foundation Grant (313 million kroner, 2021) Named world's best in electrical engineering (2023) Advising includes supervising PhD projects on AI-Accelerated Battery Twins and Data-Driven SOH Estimation . Collaborations span Energy Cluster Denmark and Villum Fonden .
Daniel Stilck França is an Associate Professor at the Department of Mathematical Sciences within the Faculty of Natural and Life Sciences at the University of Copenhagen . He is affiliated with the QMATH Centre for Quantum Mathematics and related research networks. His research focuses on quantum information and computation , particularly on noise characterization in quantum systems, its impact on computational tasks, and quantum-inspired convex optimization algorithms. Recent work explores tensor networks and quantum error mitigation limitations. Key publications (2023-2025) address topics like Pauli channel estimation, Hamiltonian parameter learning, and quantum simulator scalability. His work has been featured in Nature Communications , Nature Physics , and ACM/IEEE conferences.
John Bagterp Jørgensen is a Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). His research focuses on computational methods for Model Predictive Control (MPC), numerical optimization, and dynamic optimization, with applications in industrial processes, biomedical systems, and sustainable energy. He holds leadership roles in 2-control ApS, a company developing advanced control solutions for industries such as cement production and oil recovery. Education: PhD and M.Sc. in Technical Sciences from DTU (1997–2005 and 1991–1997). Professional experience includes roles as an Assistant Professor at DTU and CTO/CEO at 2-control ApS. Research interests span MPC algorithms, numerical methods for differential equations, and system identification. His work bridges academia and industry, addressing challenges in energy efficiency, vaccine manufacturing, diabetes treatment, and cement production processes. His recent articles emphasize industrial applications of control systems, including cement rotary kiln dynamics, vaccine production optimization, and dual-hormone artificial pancreas development. He has received the Nordic Energy Research Award (1994) and contributed to UN Sustainable Development Goals related to affordable energy and industrial innovation. Advising and grants: Supervises multiple PhD projects on topics like electrification of industrial processes and sustainable SCP production. Collaborates with global institutions on energy and biomedical research. Labs/teams: Leads teams in DTU’s Scientific Computing and Center for Energy Resources Engineering, with active partnerships in industry and academia.
Jiri Srba is a Professor at Aalborg University's Department of Computer Science, part of the Technical Faculty of IT and Design. He leads research in the Distributed, Embedded and Intelligent Systems group and contributes to projects like "ControLing wAter In an uRban Environment" and "Collective Adaptive System SynThesIs using Non-zero-sum Games". His office is located at Selma Lagerløfs Vej 300, 9220 Aalborg Øst, Denmark. Contact him at +4599409851 or srba@cs.aau.dk. His core research focuses on formal methods and applied computer science: Model checking and verification of concurrent systems Petri nets and their applications Network protocol verification and synthesis Distributed system correctness Automated reasoning for industrial systems His publication record shows strong emphasis on network verification, model checking optimization, and applying formal methods to environmental systems. Recent work integrates computer science with sustainable engineering, particularly in water management systems and energy control.
Jesper Rindom Jensen is an Associate Professor in the Department of Electronic Systems at Aalborg University, Denmark, under the Technical Faculty of IT and Design. He is the Head of the Audio Analysis Lab, a leading research group in audio signal processing, since 2023. His work bridges theoretical signal processing and practical applications in artificial intelligence and audio systems. Full Name: Jesper Rindom Jensen Institution: Aalborg University School: The Technical Faculty of IT and Design Department: Department of Electronic Systems Research Lab: Audio Analysis Lab Email: jrj@es.aau.dk Office: Fredrik Bajers Vej 7B, B5-206, 9220 Aalborg Øst, Denmark Education: M.Sc. in Electronic Systems, Aalborg University (cum laude, 2009) Ph.D. in Signal Processing, Aalborg University (2012) Research Interests: Jesper Rindom Jensen's research centers on audio signal processing, with a strong emphasis on artificial intelligence, speech enhancement, noise reduction, beamforming, and multichannel systems. His work applies to diverse domains including robot and drone audition, spatial audio, and active noise control. He develops novel filtering techniques, including variable span linear filters and harmonic beamformers, to improve speech quality and intelligibility in noisy and reverberant environments. Publication Trends: His recent publications (2023–2025) show a strong trend toward integrating deep learning with classical signal processing, particularly in direction-of-arrival estimation, underwater acoustics, and robust multichannel systems. There is a clear focus on real-world applications, including sound zone control, active noise control, and limited-data scenarios using knowledge distillation. His work consistently emphasizes robustness, efficiency, and practical deployment. Scientific Awards and Recognition: AAU Talent for emerging research leaders Recipient of a competitive postdoc grant from the Danish Independent Research Council Advising and Grants: Jesper has supervised multiple PhD and master’s students, including Nørholm, Karimian-Azari, Zhang, and Wang. He has led significant research projects such as 'Sound Processing for Robots and Drones' (2018–2020) and participated in others related to joint audio-visual tracking and speech enhancement. His research has been supported by national funding bodies, reflecting its innovation and impact. Labs and Teams: He is a founding and core member of the Audio Analysis Lab at Aalborg University, which focuses on cutting-edge audio signal processing and AI-driven solutions. The lab fosters interdisciplinary collaboration and has produced numerous publications, datasets, and real-world applications. Jensen’s leadership since 2023 underscores his pivotal role in shaping the lab’s research direction.
Stine Krøijer is an Associate Professor in the Department of Anthropology at the University of Copenhagen, Faculty of Social Sciences. Her research focuses on political anthropology, nature-culture relations, cosmology, time, multispecies ethnography, anarchism, autonomy, and indigenous peoples, with regional expertise in the Amazon and Scandinavia. She is actively involved in major research projects such as 'Lokale Landvindinger' (2021–2025) and 'Fire and Political Alterity in Amazonia' (2023–), funded by the Velux Foundation and the Danish Research Council, respectively. Her educational background includes a PhD in Anthropology from the University of Copenhagen, awarded in 2011. Prior to her academic career, she worked with Oxfam_IBIS on forest, climate, and indigenous rights issues in the Amazon basin from 2002 to 2007 and again from 2010 to 2014. Stine Krøijer’s research explores the political agency of non-human entities like trees, the performative aspects of climate activism, and the temporalities of radical politics. Her work bridges anthropology with environmental studies, political theory, and indigenous epistemologies. She investigates how radical environmental change—such as deforestation, peatland restoration, and forest fires—reshapes political subjectivities and social futures. Her recent publications reflect a strong trend in climate politics, environmental activism, and the ontological status of nature. Themes include the agency of trees, dystopian imaginaries in environmental movements, and the co-creation of landscapes in Denmark. Her research combines ethnographic depth with theoretical innovation, particularly in understanding how ecological crises generate new forms of political alterity. Member, Expert Council on Nature National Parks, Ministry of Environment, Denmark Coordinator, Green Solution Centre, University of Copenhagen Editor, Tidsskriftet Antropologi She teaches courses on climate, nature, environment, global flows, project design, and fieldwork methods. Her advisory and grant activities are centered on externally funded research projects focusing on climate change, indigenous rights, and environmental transformation. She is also involved in public engagement through lectures and exhibitions such as 'Amazon Trails' and 'Climate/Kettle: Aesthetics of Resistance'. Stine Krøijer leads and participates in research groups focused on nature, environment, and climate. She collaborates with interdisciplinary teams across Denmark and Latin America, particularly in the Amazon region. Her work is embedded in both academic and policy-oriented networks, contributing to the Green Solution Centre and national environmental councils.
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
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.
Nina Torm is an Associate Professor at Roskilde University's Department of Social Sciences and Business, specializing in development economics with a focus on labor markets, informality, and environmental sustainability in sub-Saharan Africa and East Asia. She co-leads the DANIDA-funded STRESS project (2024-2029) examining resilience in Sahelian peri-urban areas and participates in the SWASH project (2022-2025) addressing sustainable water systems in Ghana. Her past work includes the SPIWORK project (2016-2022) on social protection for informal workers in East Africa. Education spans a PhD in Economics from the University of Copenhagen (2009-2013), MSc in International Development from University of Bath (2000-2001), and BA in Economics, Politics & Philosophy from University of York (1997-2000). Research interests center on regulatory frameworks, labor market dynamics in informal economies, and climate-resilient governance. Notable contributions include analyzing informal worker associations' roles in crisis response and exploring linkages between social protection and formalization in LMICs. She has published widely on training impacts, gender wage gaps in SMEs, and occupational safety in construction sectors. Teaching includes courses on ecological economics, global political economy, and informality studies. She supervises graduate students in Global Development Studies and serves as a censor at Copenhagen and Aarhus Universities. Professional roles include consultancy for ILO, World Bank, and UNU-WIDER, alongside editorial work for major journals like World Development and Journal of Development Studies.
