Professor Torben Bach Pedersen at Aalborg University's Department of Computer Science within The Technical Faculty of IT and Design is a leading expert in Data Engineering, Artificial Intelligence, and Energy Systems. With over 394 publications and 19 completed projects, he directs research at the Daisy – Center for Data-intensive Systems and leads innovations in energy flexibility and smart grid technologies. Key research areas: Data Warehousing, AI/ML, Energy Systems, Smart Grids Major projects: domOS (Smart Building OS), FEVER (Virtual Power Plants), DiCyPS (Cyber-Physical Systems) His research spans data-intensive systems, AI applications in energy management, and smart infrastructure development. Recent work focuses on transformer-based network AI and energy flexibility metrics. Scientific recognition includes: Æresdoktor (Honorary Doctor) at TU Dresden (2021) Best Paper Award Runner-Up (2019) WWW 2017 Best Demo Award Best Poster Award World Smart Grid Forum (2013) Member of Danish Academy of Technical Sciences (2013) As principal investigator and supervisor in 17 PhD projects, he advances AI-driven solutions for 6G wireless systems, smart buildings, and energy market optimization.
John Paulin Hansen is a Professor at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics under the Technology and Business Studies school. His research focuses on human factors, human-computer interaction, and assistive technologies, particularly in gaze interaction and rehabilitation robotics. He holds a Ph.D. from Aarhus University (1992) and has led research groups at institutions like Risø National Laboratory and the IT University of Copenhagen. His work emphasizes improving quality of life for individuals with motor disabilities through innovations like The Eye Tribe and GazeIT lab initiatives. Research Interests include: Eye-tracking technology and gaze interaction systems Exoskeletons and AR interfaces for stroke rehabilitation Human digital twins in healthcare Telepresence robotics accessibility Brain-computer interfaces (BCI) Key Achievements: Founded EU’s COGAIN network, co-created The Eye Tribe startup (acquired by Facebook/Oculus), and leads the GazeIT lab supported by the Bevica Foundation. His projects address sustainable development goals through inclusive technology solutions. Awards: Vanførefondens Forskerpris 2018 Multiple Best Paper Awards (2019–2022) Reviewers' Favourite Best Paper Award at DESIGN2022 Advising & Grants: Mentor to startups like The Eye Tribe and Orbital (acquired by GN Audio). Current projects include EU Horizon 2020 Rehyb initiative for AR exoskeleton interfaces and Human Digital Twin applications in rehabilitation. Labs/Teams: GazeIT lab pioneers assistive tech innovations, collaborating with LEGO and Serious Games Interactive. Active in developing inclusive design pedagogy and digital twin methodologies for healthcare.
Yan Zhao is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark, affiliated with The Technical Faculty of IT and Design. His research focuses on data engineering, science, and systems, with a particular emphasis on anomaly detection, machine learning, and spatio-temporal data analysis. He holds a Ph.D. in Computer Science (specific education details not explicitly provided). Research Interests: Dr. Zhao's work spans anomaly detection, autoencoders, attention mechanisms, preference learning, multivariate time series, and computational efficiency. His research often integrates machine learning with real-world applications in spatial crowdsourcing, trajectory analysis, and data privacy. Publications: With 72+ publications, his recent work emphasizes spatio-temporal prediction frameworks, federated learning, and efficient time series analysis. Notable contributions include frameworks for continuous learning on streaming data and privacy-preserving clustering in spatial crowdsourcing. Grants & Supervision: He has supervised one Ph.D. student and actively contributes to research grants focusing on data engineering and smart systems. His work bridges theoretical advancements with practical applications in transportation, social networks, and IoT.
Jesper Ole Jensen is a Senior Researcher at Aalborg University's Department of the Built Environment, affiliated with The Faculty of Engineering and Science. He holds a PhD in Lifestyle, Housing, and Resource Consumption (2001) from Aalborg University and a Civil Engineering degree (1990) from the Technical University of Denmark. His research focuses on sustainable urban development, energy retrofitting of historic buildings, housing policy innovation, and socio-technical transitions in the built environment. He has held external positions at the Technical University of Denmark from 1991–2006. Key research areas include: Climate-resilient housing solutions Conflict resolution between energy efficiency and heritage preservation Alternative housing models (co-living, micro-housing) Pandemic impacts on housing use Policy instruments for energy retrofitting He has led/coordinated 40+ research projects, including the RESPOND initiative analyzing pandemic impacts on urban life (2022–2026), and contributed to 165+ publications. His work addresses UN SDG 11 (Sustainable Cities) and SDG 7 (Affordable Clean Energy). Current affiliations include the Sustainable Cities and Everyday Practice Research Group and Center for Design, Innovation and Sustainable Transitions.
Andreas Kuchler is an external part-time lecturer at the Department of Economics, Faculty of Social Sciences, University of Southern Denmark, and a senior economist at Danmarks Nationalbank, where he currently serves as an Advisor in Macroeconomic Analysis. He earned his PhD in Economics from the University of Southern Denmark in 2011 and has remained affiliated with the institution as a lecturer and supervisor since 2012. His educational background includes: PhD in Economics, University of Southern Denmark, 2011 MSc in Economics, University of Southern Denmark, 2008 High School, Nordfyns Gymnasium, 2002 Kuchler’s research centers on household and firm behavior under various macroeconomic conditions, particularly in low- and negative-interest-rate environments. His work spans applied econometrics, banking, consumption heterogeneity, pension economics, and the impact of monetary policy. He has extensively studied the effects of negative deposit rates on corporate investment, household savings, and pension wealth, contributing key insights into macroeconomic stability and financial resilience. His recent publications reveal a strong focus on empirical microdata analysis, particularly register-based studies from Denmark, and examine topics such as consumption smoothing, debt accumulation, and housing demand shifts during the pandemic. He frequently collaborates with central bank researchers and contributes to policy-oriented outputs through Danmarks Nationalbank’s analysis and economic memos. Kuchler has been actively involved in several high-level academic and policy networks, including the ECB’s Household Finance and Consumption Network, CompNet, and has presented at institutions such as the European Central Bank, Deutsche Bundesbank, and Banque de France. He has also served as a referee for journals including Economic Inquiry , Journal of Macroeconomics , and Scandinavian Journal of Economics . He has taught and supervised students in data analysis, econometrics, and thesis writing at the University of Southern Denmark since 2009. Though not a full-time faculty member, his sustained academic engagement through teaching, publishing, and supervision confirms his role in the academic community. Notable labs and research teams he contributes to include: Household Finance and Consumption Network (ECB) Competitiveness Research Network (CompNet) Network for analysis of enterprise data (Confederation of Danish Industry) Danish Research Data for the Social Sciences (DRDS)
Dr. Diego Bassani is an Associate Professor of Epidemiology at the Dalla Lana School of Public Health and the Department of Pediatrics at the University of Toronto. He holds concurrent appointments as a Senior Scientist at The Hospital for Sick Children and Director of the International Program Evaluation Unit at the Centre for Global Child Health. His interdisciplinary work bridges epidemiology and network science to advance population health measurement. M.Sc., Ph.D. (Epidemiology) His research emphasizes large-scale epidemiological studies, network science applications, and methodological innovations in maternal and child health. Current projects include reconstructing population networks from national survey data, developing novel sampling designs, and enhancing timeliness in public health surveillance. Recent work explores allometric scaling, microbiota associations, and neonatal probiotic interventions. Key trends in his recent publications include network-based population health modeling (SEEDNet), microbiota analysis in Bangladeshi infants, and methodological advancements in cross-country health data synthesis. These studies span epidemiology, microbiology, and computational approaches. Dr. Bassani leads projects funded by the New Frontiers in Research Fund, NSERC, CIHR, Bill & Melinda Gates Foundation, and Global Affairs Canada. His methodological focus on network science aims to revolutionize health data collection and disease pattern detection. He collaborates with the ISI Foundation and contributes to open-source data infrastructure through initiatives like SEEDNet, supporting global health research and policy formulation.
Panagiotis Tampakis is an Associate Professor at the Department of Mathematics and Computer Science, University of Southern Denmark. His research focuses on Big Data Analytics, Mobility Data Analysis, and Predictive Modeling with applications in fields such as maritime surveillance, sports analytics, and healthcare informatics. He is actively involved in developing scalable algorithms for trajectory clustering, spatiotemporal data mining, and distributed systems. His work emphasizes practical solutions through platforms like i4sea for maritime activity monitoring and Pythia for distributed trajectory prediction. He has collaborated internationally on mobility data projects and earned the SSTD 2021 Best Paper Award for innovative spatial-keyword indexing techniques. Tampakis also supervises student projects integrating machine learning with real-world problems in finance, sports, and journalism. Key research themes include predictive analytics for traffic patterns, outlier detection in traffic flows, and analyzing passing sequences in football to predict goal-scoring opportunities. His publications span trajectory clustering, spatial-keyword query optimization, and explainable AI in journalism. Awards: SSTD 2021 Best Paper Award Key Projects: i4sea maritime platform, Pythia trajectory prediction framework, RoadRunner big data processing framework Collaborations: Active in global mobility data communities, with contributions to BMDA initiatives
Birger Larsen is a Professor at Aalborg University's Department of Communication and Psychology, affiliated with The Faculty of Social Sciences and Humanities. He leads the Humanomics Research Group and Purposeful Technology Lab, focusing on Information Retrieval (IR), Bibliometrics, and Open Data initiatives. His work bridges academic research with practical applications in education and societal impact. Research interests include optimizing user interactions with information systems, domain-specific search strategies, and quantitative research evaluation. Key projects include the ODECO EU initiative on Open Data ecosystems and the Community Drive project integrating sensors and open data in education. He has contributed over 197 publications, with significant citations in Web of Science, Scopus, and Google Scholar. Larsen actively participates in program committees, conferences, and consultancy for research evaluations. His teaching spans BSc, MSc, and PhD levels, emphasizing hands-on experience with information systems and user experimentation. He chairs committees for research indicators and institutional development at Aalborg University. Notable contributions include frameworks for assessing researchers, developing open data literacy in schools, and analyzing citation contexts in biomedical retrieval. His work aligns with UN Sustainable Development Goals, particularly in fostering innovation and equitable access to information.
Matti Juhani Koivisto is a Senior Researcher at the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). His work focuses on renewable energy systems integration, particularly wind power modeling and analysis within large-scale energy systems. His research expertise spans several critical domains in renewable energy: Wind Energy Systems Engineering (100%) Wind Power Engineering (89%) Variable Renewable Energy Integration (80%) Power Engineering (56%) Time Series Analysis in Energy Systems (37%) Energy Engineering (35%) Dr. Koivisto's research addresses fundamental challenges in renewable energy integration, with particular emphasis on wind power forecasting, variability analysis, and the impacts of climate change on renewable resources. His work bridges theoretical modeling with practical energy system applications, contributing to more reliable and efficient integration of renewable energy sources into power grids. His recent publications demonstrate a strong focus on offshore wind energy, hybrid power plants, and advanced modeling techniques for wind farm generation. His work on increasing the resolution of solar and wind time series has been particularly influential in energy system modeling, addressing critical data requirements for high renewable penetration scenarios. Dr. Koivisto contributes significantly to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13), with research directly addressing the technical challenges of transitioning to sustainable energy systems. He is actively involved in several major international research projects including AWETRAIN (Airborne Wind Energy Training), DTWO (Federated Digital Twins for Wind-Offshore), and GREAT (GRid Enhancement for Ancillaries in Tomorrow's power systems), where he serves as both project participant and PhD supervisor.
Srinivasa Raghavendra Bhuvan Gummidi is an Assistant Professor at the Department of Green Technology (IGT) within the University of Southern Denmark . His research focuses on Circular Economy , Building Stock Modeling , and Environmental Impact Assessment through advanced Geographical Information Systems (GIS) and Deep Learning techniques. Recent work includes high-precision building material identification and spatiotemporal tracking of urban material stocks. Research Keywords : Algorithms for Geographical Information Systems, Optimization Algorithms, Building Stock Modeling, Circular Economy, Deep Learning, Environmental Impact Assessment His peer-reviewed publications (2025–2015) span topics from urban material sustainability to spatial crowdsourcing systems . He teaches Geographic Information Systems for Engineering Sustainability (2024) and collaborates internationally on urban development and resource management projects.
Elliot John Brown is a Researcher at the National Institute of Aquatic Resources Section for Ecosystem based Marine Management within the Technical University of Denmark . His work focuses on marine ecosystem dynamics, fisheries management, and environmental impacts of offshore developments. Research Interests: Fisheries management, stock assessment, habitat degradation, offshore wind farms, ecosystem-based marine management Key Collaborations: Extensive work in the Baltic Sea and North Sea regions, with projects on marine fish populations, energy production impacts, and conservation planning Email: elbr@aqua.dtu.dk His recent publications highlight expertise in offshore wind farm impacts on marine ecosystems, habitat degradation effects on fish populations, and ecosystem-based fisheries management across multiple European seas. Research spans both empirical studies and modeling approaches. He has served as a supervisor in multiple projects analyzing juvenile fish habitats , otolith microchemistry , and fish distribution patterns , contributing to marine conservation strategies and sustainable fisheries practices. His work aligns with UN Sustainable Development Goal 14 (Life Below Water), focusing on marine ecosystem protection and sustainable resource management.
Kent Adsbøll Wickstrøm is an Associate Professor in Organization and Entrepreneurship at the University of Southern Denmark, specifically within the Department of Business and Sustainability (DBS Kolding). He also serves as Head of Research Group for Supply Chain & Technology Management and maintains an affiliation with the Sino Danish Center for Education and Research in Beijing, China. His academic career at the University of Southern Denmark spans from Research Assistant (2001) through Assistant Professor (2005-2008) and Postdoc (2008-2009) to his current Associate Professor position (2009-present). Wickstrøm's research focuses on mechanisms shaping entrepreneurial cognition, behavior, and performance, with particular emphasis on how country-level institutions influence entrepreneurial outcomes across different demographic groups. His work examines export aspirations, growth trajectories, innovation patterns, and well-being outcomes for entrepreneurs. A significant portion of his research investigates how small and medium-sized enterprises adapt to Industry 4.0 technologies, exploring implementation challenges and performance impacts. His recent publications (2023-2025) demonstrate a strong focus on digital transformation in manufacturing SMEs, with numerous studies examining supply chain resilience, additive manufacturing adoption, cybersecurity practices, and reshoring trends. These works frequently employ large-scale survey data from Danish manufacturing firms and leverage international comparative frameworks. Best paper award (2019) Chinese Firms' Specialization benefiting Innovation award (2016) Wickstrøm actively supervises graduate students and teaches courses including Advanced Organization Theory, Organization Design, and International Management at the master's level. His research collaborations span multiple projects, particularly those involving Danish-Chinese research partnerships focused on entrepreneurial innovation. He has participated in numerous conferences as both presenter and program committee member, and serves as an ad hoc reviewer for journals including Organization Science and Management Information Systems Quarterly.
Tomer Sagi is an Associate Professor in the Department of Computer Science at Aalborg University (AAU), Denmark. He is affiliated with The Technical Faculty of IT and Design and leads projects in the AI for the People and BLUE – Marine & Maritime Research groups. His research focuses on data integration, ontology engineering, artificial intelligence applications in healthcare and environmental science, and knowledge graph development. PhD in Information Systems from Technion-Israel Institute of Technology (2015) Former Lecturer at University of Haifa (2017–2022) Principal Investigator/Co-PI in projects like ODINI (AI-based Data Integration), MEHDIE (Middle Eastern Heritage Knowledge Graph), and DarkScience (Microbial Data Science) Research Interests: Data Integration, AI for Ocean Science, Medical Informatics, Ontology Evaluation, Multilingual Knowledge Systems, and Explainable AI. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure. Key Projects (2022–2025): DarkScience: Metagenomic data analysis funded by Villum Foundation ODINI: AI-driven ocean data fusion and 3D reconstruction MEHDIE: Multilingual historical knowledge graphs for Middle Eastern heritage Awards: Received NLP4KGC Best Paper Award (2023) and AIME 2020 Best Paper Nomination. His contributions span 46+ publications, 8 datasets, and media coverage on AI applications in healthcare and environmental science. Labs/Teams: Active in AI for the People (applied AI solutions) and BLUE (marine data science). Collaborations include work on virtual twin technology for stroke management and medical data analytics.
Thomas Heede is a Researcher at Aalborg University's Department of Computer Science, affiliated with the Technical Faculty of IT and Design. His work focuses on interdisciplinary research at the intersection of data science and microbial ecology. He participates in the DarkScience project, which aims to advance metagenomic analysis through data science techniques. His research interests include knowledge graph integration of multi-modal spatial data, microbial species distribution modeling, and environmental data analysis. Key projects involve applying machine learning (e.g., Gaussian processes) to ecological datasets and developing frameworks for heterogeneous data fusion in microbiology. Recent work includes a 2025 study on microbial species distribution modeling using additive Gaussian processes and a 2024 case study on microflora integration using knowledge graphs. These projects highlight trends in computational biology and cross-domain data synthesis. No scientific awards are listed. He collaborates on grants such as the VILLUM Foundation-funded DarkScience project (2022–present), focusing on metagenomic binning and microbial dark matter exploration. Labs/teams: Active participant in the DarkScience team led by Prof. Albertsen, contributing to metagenomic data analysis and computational methodologies.
Jochen Teizer is a Professor at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). His research focuses on transforming construction industry productivity and safety through digital technologies like Digital Twins, BIM, and Extended Reality (XR). He specializes in construction safety, automation, lean production, and workforce efficiency. He holds roles such as Vice-President of the International Association on Automation and Robotics in Construction, and serves on the Editorial Board of the Journal of Automation in Construction. His work aligns with UN Sustainable Development Goals, emphasizing safer work environments and sustainable practices. Key Expertise: Construction Safety, Automation & Robotics, BIM, XR in Education Recent Projects: Digital Twin Applications, Noise Emission Prediction, Safety Ontology Frameworks Teizer has supervised multiple PhD students in areas like Green Construction Sites and Occupational Health and Safety (OHS) using Digital Twins. His awards include the CIBW099/W123 Best Paper Awards (2023, 2024) and the CONVR Best Presentation Award (2024).
