جست‌وجوی استاد و پژوهشگر

Ashna Mahmood Zadaمشاهده پروفایل

پژوهشگر ارشد

• Digital Transformation
• Environmental Assessment
• Human-Computer Interaction
• +۳ مورد دیگر

Ashna Mahmood Zada serves as a Postdoctoral Researcher in the Department of Computer Science at Aalborg University's Faculty of IT and Design, Denmark. Her work bridges human-centered computing with environmental sustainability through digital innovation. Her research centers on digital transformation in environmental assessment, specializing in roadmapping methodologies, data journey analysis, and sustainable development goal integration. She employs qualitative case studies and conceptual frameworks to dissect socio-technical tensions in environmental data mobilization, processing, and repurposing—particularly within Austrian and European contexts. Her approach combines human-computer interaction principles with environmental governance to optimize digital educational materials and assessment tools. Publication trends (2022-2024) reveal consistent focus on operationalizing digital transformation for environmental impact assessment, emphasizing goal-setting mechanisms and data workflow tensions. Her work demonstrates growing influence through Scopus citations and media coverage of sustainable digitalization benefits. She actively contributes to major grants including DREAMS (2020-2023; €200k+), developing digitally supported environmental assessment tools for Sustainable Development Goals, and the ongoing Digitalization Activities for DAD Students project (2024-2026). Her cross-institutional collaborations span environmental scientists, HCI researchers, and policy experts across Denmark and Austria. Zada operates within Aalborg University's Human-Centered Computing research environment, leveraging interdisciplinary teams focused on digital educational materials development and environmental assessment modernization. Her lab infrastructure supports data journey mapping and digital tool prototyping for sustainability contexts.

Allan Hanburyمشاهده پروفایل

استاد

• Information Retrieval
• Data Mining
• Natural Language Processing
• +۱۳ مورد دیگر

Allan Hanbury is a Full Professor for Data Intelligence at the Faculty of Informatics, TU Wien, and a faculty member at the Complexity Science Hub Vienna. He leads the Data Science Research Unit and serves as the Faculty Representative for financial affairs and internationalization. He holds a PhD in Applied Mathematics from Mines ParisTech and a Habilitation in Practical Informatics from TU Wien. PhD in Applied Mathematics, Mines ParisTech, 2002 Habilitation in Practical Informatics, TU Wien, 2008 Bachelor’s and Master’s in Physics and Applied Mathematics, University of Cape Town His research focuses on information retrieval, data mining, natural language processing, and information extraction, with applications in healthcare, legal, and patent domains. He has coordinated major EU projects including Khresmoi, VISCERAL, KConnect, and DoSSIER, the latter training 15 PhD students. He is co-founder of contextflow, a spin-off commercializing radiology search technology. His recent publications (2024–2022) highlight a strong trend in systematic literature review automation, neural re-ranking, large language models, and domain-specific information extraction. Key themes include improving citation screening, patient-trial matching, evaluation metrics, and dataset creation for offensive language and legal text. His work combines technical innovation with real-world impact in medical, legal, and scientific communication contexts. Allan Hanbury has received no explicitly mentioned scientific awards in the provided text. He actively supervises numerous PhD and master’s students and leads large research projects such as DoSSIER, Transparent Automated Content Moderation, and PLFDoc, funded by FWF, WWTF, and EU. His group develops tools for evidence synthesis, clinical data extraction, and legal document analysis. He also contributes to AI and data strategy in Austria and Europe. He leads the Data Science Research Unit at TU Wien and is involved in multiple interdisciplinary projects including BRISE (building regulation analysis), CDL-RecSys, and TACo, focusing on legal and scientific document processing. His work bridges academia and industry through spin-offs like contextflow and collaborations with Deutsche Telekom, Siemens, and FMA.

Henrik Jeldtoft Jensenمشاهده پروفایل

استاد

• Complexity Science
• Statistical Mechanics
• Mathematical Physics
• +۷ مورد دیگر

Henrik Jeldtoft Jensen is a Professor of Mathematical Physics and leads the Centre for Complexity Science at Imperial College London. His work spans multiple disciplines, focusing on the statistical mechanics of complex systems, with applications in physics, biology, neuroscience, and finance. Professor, Mathematical Physics Leader, Centre for Complexity Science Institution: Imperial College London His research interests lie at the intersection of theoretical physics and complex systems. He is best known for developing the Tangled Nature Model of evolving ecosystems, which has been extended into financial modeling through the Tangled Finance approach. His work in brain dynamics involves analyzing fMRI and EEG data using tools from statistical physics. He has made significant contributions to self-organized criticality and stochastic dynamics of complex systems, particularly in condensed matter and evolutionary contexts. The recent publications reflect a strong trend toward interdisciplinary complexity science, integrating concepts from physics, biology, economics, and neuroscience. Keywords across these works include complexity, statistical mechanics, dynamical systems, and network theory, with subfields ranging from neural avalanches to financial instability and biodiversity modeling. Henrik Jensen is the author of two influential books: Self-Organized Criticality and Stochastic Dynamics of Complex Systems (with Paolo Sibani), which have been widely cited across disciplines. He has supervised numerous PhD and postdoctoral researchers through the Centre for Complexity Science, though specific names are not listed. His research has been supported by grants from UK research councils and international collaborations, particularly in interdisciplinary complexity projects. He is affiliated with the Centre for Complexity Science, a multidisciplinary research hub at Imperial College London that brings together physicists, mathematicians, biologists, and social scientists to study complex adaptive systems.

Manfred Laubichlerمشاهده پروفایل

استاد

• Theoretical Biology
• Evolutionary Developmental Biology
• History of Biology
• +۷ مورد دیگر

Manfred Laubichler is President’s Professor of Theoretical Biology and History of Biology at Arizona State University (ASU), where he serves as Director of the School of Complex Adaptive Systems and the Global Biosocial Complexity Initiative. He is also an External Professor at the Santa Fe Institute (SFI) and co-director of the ASU-SFI Center for Biosocial Complex Systems. His academic affiliations include the Center for Social Dynamics and Complexity, the Center for Biology and Society, the Center for Evolution and Medicine, and the Water Institute at ASU. His educational background spans zoology, philosophy, and mathematics from the University of Vienna; biology from Yale University; and history/history of science from Princeton University. Laubichler's research centers on evolutionary novelties across scales—from genomes to knowledge systems—alongside the structure of evolutionary theory and the evolution of scientific knowledge. His work bridges theoretical biology, philosophy of science, and complex systems, with a strong emphasis on biosocial complexity and sustainability. He has contributed extensively to understanding the conceptual foundations of evolutionary developmental biology (Evo-Devo) and the historical and philosophical dimensions of biological theory. His recent publications reflect an interdisciplinary trend, integrating epidemiology, public health, and social behavior during crises such as the COVID-19 pandemic, while maintaining a core focus on theoretical biology, history of science, and complex systems. Themes include trust, scientific responsibility, epistemology of science, and modeling biosocial dynamics. Elected Fellow of the American Association for the Advancement of Science Fellow at the Wissenschaftskolleg zu Berlin Vice Chair of the Global Climate Forum Laubichler has led multiple NSF-funded research initiatives in digital humanities, history and philosophy of science, and complex adaptive systems. He has advised numerous doctoral projects and co-led training programs such as the Embryo Project. He is actively involved in interdisciplinary labs and centers, including the Information and Competition Lab, Complexity Economics Lab, and the Social Insect Research Group. His leadership extends to editorial roles in journals like Biological Theory , Journal of Experimental Zoology Part B , and the Archimedes series.

Athanasios Koliosمشاهده پروفایل

استاد

• Wind Turbine Engineering
• Offshore Wind Turbines Engineering
• Offshore Wind Farms Engineering
• +۳ مورد دیگر

Athanasios Kolios serves as Professor and Head of the Structural Integrity and Loads Assessment section within the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). His work focuses on advancing wind energy technology through structural analysis, materials science, and system optimization for both onshore and offshore applications. His primary research domains include wind turbine structural integrity, offshore wind farm layout optimization, and structural health monitoring systems. He investigates critical challenges in operation and maintenance strategies, techno-economic metrics for wind projects, and materials behavior under dynamic loading conditions. His fingerprint analysis reveals dominant expertise in Wind Turbine Engineering (100%), Offshore Wind Turbines Engineering (45%), and Offshore Wind Farms Engineering (36%). Recent publications demonstrate strong emphasis on data-driven approaches for wind energy systems, including structural optimization algorithms, virtual sensing techniques, and techno-economic assessments of offshore projects. His work consistently bridges theoretical engineering principles with practical industry applications, particularly in Brazilian and European offshore wind contexts. Scientific Awards: No scientific awards were documented in the provided information Professor Kolios actively supervises five PhD candidates across major research initiatives while mentoring Master's students in structural wind energy applications. His research portfolio includes six significant projects addressing critical industry needs: PhD Supervision: Chopard (anomaly interpretation), Piovesan (risk-based technology qualification), Yildirim (floating turbine uncertainty), Rodrigues Faria (autonomous operation), Al-Hagri (offshore structure maintenance) Master's Supervision: Rushil S. Mahajan (monopile buckling analysis) Current Projects: Decision support systems, life cycle cost modeling, floating wind turbine modeling, autonomous operation frameworks, sustainable offshore structure design As section head at DTU Wind and Energy Systems, he leads an internationally collaborative research group focused on structural integrity assessment, load prediction methodologies, and materials innovation for next-generation wind turbines. The team maintains strong industry partnerships and contributes to global wind energy standards development through participation in initiatives like ISSC.

Xiao Chenمشاهده پروفایل

پژوهشگر

• Composite Structures
• Wind Energy Systems
• Structural Integrity
• +۷ مورد دیگر

Xiao Chen is a Researcher at the Technical University of Denmark (DTU), specializing in advanced testing and digitalization of composite and offshore steel structures for wind energy systems. With a PhD from Nagoya University (2011), his work focuses on structural integrity, fatigue analysis, and Digital Twins for wind turbine blades. PhD in Engineering, Nagoya University (2011) Senior Researcher (2019–present) and Researcher (2017–2018) at DTU Associate Professor (2016–2017) and Assistant Professor (2013–2015) at Chinese Academy of Sciences His research explores nonlinear buckling, fracture mechanics, and Industry 4.0 technologies for structural health monitoring. Recent publications highlight AI-driven damage detection, thermographic analysis, and finite element modeling of composites. He leads projects like QualiDrone and AQUADA-GO, funded by EUDP and VILLUM FONDEN. Key article trends include composite fatigue , digital twins , drone-based inspection , and machine learning for structural monitoring. He received the 2022 Best Presentation Award at an international conference. Projects: Villum Experiment Project DiscoverBlaDE AQUADA-GO QualiDrone DARWIN RELIABLADE RELIfe

Thomas Lykke Andersenمشاهده پروفایل

دانشیار

• Coastal Engineering
• Wave Energy
• Physical Modeling
• +۴ مورد دیگر

Thomas Lykke Andersen is an Associate Professor and Head of the Ocean and Coastal Engineering Research Group at Aalborg University's Department of the Built Environment within the Faculty of Engineering and Science. His work focuses on coastal engineering, wave energy systems, and physical modeling of marine structures. Key projects include the RESCUER initiative enhancing coastal resilience and leadership in the WaveLab facility. Research interests span breakwater design, wave-structure interactions, and hydraulic engineering. Notable contributions include advancements in wave separation algorithms (NL-SORS), stability analysis of rock armor systems, and offshore wind turbine foundation dynamics. His lab conducts large-scale physical experiments addressing coastal protection challenges. Publications emphasize wave dynamics, overtopping prediction, and innovative coastal infrastructure. Supervision includes one documented PhD student. Media engagements highlight contributions to coastal engineering solutions and university teaching methodologies during the pandemic.

Ali Lashgariمشاهده پروفایل

پژوهشگر ارشد

• Geotechnical Engineering
• Seismic Hazards
• Offshore Foundations
• +۵ مورد دیگر

Ali Lashgari is a Marie Skłodowska-Curie Postdoctoral Research Fellow at Aalborg University's Department of the Built Environment (Faculty of Engineering and Science). He holds a PhD in Geotechnical Engineering from Semnan University (2019) and serves as a visiting researcher at Hong Kong University of Science and Technology. His research focuses on seismic hazards, offshore energy infrastructure resilience, and probabilistic geotechnical analysis. Education: PhD in Geotechnical Engineering, Semnan University (2019) MSc in Geotechnical Engineering, Semnan University (2013) BSc in Civil Engineering (not specified) Research Interests: Development of predictive models for geohazards (e.g., submarine landslides, liquefaction), offshore foundation resilience, and probabilistic analysis of seismic risks. His work integrates numerical modeling (e.g., DEM-FEM), machine learning, and big data analytics for hazard assessment frameworks. Awards: Marie Skłodowska-Curie Postdoctoral Fellowship (2023) Grants & Projects: PRO-SLIDE: EU-funded project (2023–ongoing) for offshore energy infrastructure resilience against seismic submarine landslides (PI) EU-COST Action CA23155: Pan-European network on ocean tribology (participant) Professional Activities: Founder of Intelligent Environmental Risks Analyzers (2016) Membership in AGU, DFI, GEER, IGS, and IRCEO Lab/Team Affiliation: Risk, Resilience, Safety, and Sustainability of Systems Research Group at Aalborg University.

Filipe Rodriguesمشاهده پروفایل

دانشیار

• Machine Learning
• Intelligent Transportation Systems
• Transportation Science
• +۷ مورد دیگر

Filipe Rodrigues is an Associate Professor in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU), where he conducts research in intelligent transportation systems and transportation science. His work integrates machine learning, artificial intelligence, and behavioral modeling to improve urban mobility and public transport systems. His research interests lie at the intersection of machine learning , transportation science , and behavioral modeling . He specializes in discrete choice modeling , reinforcement learning , graph neural networks , and smart card data analytics . His work contributes to sustainable urban mobility, leveraging big data and AI for proactive traffic control and public transport optimization. The recent publications highlight a strong trend toward integrating AI and behavioral science in transportation. Key themes include ride-sourcing driver behavior , public transport trip validation , autonomous fleet control , and causal machine learning . These works predominantly employ deep learning , Bayesian modeling , and offline reinforcement learning techniques, often applied to real-world datasets from Denmark and beyond. Scientific Contributions: Active contributor to journals like Transportation Research Part C and Journal of Choice Modelling . Supervises multiple PhD projects on AI in transportation and causal modeling. Regular presenter at major transportation and AI conferences. Advising and Grants: Filipe Rodrigues is the main or co-supervisor of several PhD students including O. B. Lassen, F. M. F. Santos, A. Nguyen, and X. Wu. He leads and participates in funded research projects such as 'Proactive traffic control through AI and Big Data' and 'Causal Graph Neural Networks for machine learning meta-modelling', indicating sustained grant support. His collaborative network spans institutions in Europe and beyond. Labs and Teams: He is part of the Intelligent Transportation Systems research group at DTU, collaborating closely with researchers like F. C. Pereira and C. M. L. Azevedo. The team focuses on data-driven mobility solutions, combining simulation, machine learning, and behavioral insights.

Martin Skovgaard Andersenمشاهده پروفایل

دانشیار

• Optimization
• Signal Processing
• Machine Learning
• +۱۲ مورد دیگر

Martin Skovgaard Andersen is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he specializes in Scientific Computing. His research integrates numerical methods, optimization, and machine learning to solve complex computational problems in engineering and data science. Education: Ph.D., University of California, Los Angeles (2006–2011) M.Sc., Aalborg Universitet (2001–2006) Postdoc, Linköping University, Sweden (2011–2012) His research interests include optimization (particularly conic and stochastic programming), numerical algorithms, signal processing, system identification, and fast solvers for integral equations. He works extensively on matrix analysis, regularization, and low-rank approximations, contributing to both theoretical and applied advancements in computational mathematics. The recent publications highlight a strong trend in developing efficient numerical algorithms for large-scale optimization and solving integral equations. His work emphasizes preconditioning, matrix truncation, and Bayesian inversion, with applications in electromagnetics, structural health monitoring, and network identification. There is a consistent focus on improving computational efficiency and scalability of solvers. Scientific Awards: No specific awards mentioned in the provided text. Andersen actively supervises PhD students and leads multiple research projects, including those on non-symmetric conic optimization, data-sparse models, and fast direct solvers. He is the Principal Investigator (PI) on projects related to physics-informed structural health assessment. His collaborative network spans Denmark and international institutions, particularly in computational mathematics and engineering. Labs and Research Teams: He is affiliated with the Scientific Computing section at DTU, which focuses on high-performance computing, numerical algorithms, and mathematical modeling. His work is embedded in a collaborative environment involving researchers in optimization, control theory, and computational electromagnetics.

Rikke Ørngreenمشاهده پروفایل

استاد

• IT-supported learning
• Digital learning methods
• Problem-Based Learning
• +۹ مورد دیگر

Rikke Ørngreen is a Professor and Deputy Head of Research at the Department of Culture and Learning, Faculty of Humanities and Social Sciences, Aalborg University. She also serves as Section Head in Copenhagen and Head of the Research Center for Video. Her work is closely tied to the ILD-Lab (IT and Learning Design Lab) and the AI for the People initiative. She leads multiple national and international research projects focused on digital learning, organizational change, and educational innovation. Department: Department of Culture and Learning School: Faculty of Humanities and Social Sciences University: Aalborg University Research Centers: Research Center for Video, ILD-Lab, AI for the People Her research expertise lies in IT-supported learning, digital methods, and organizational development. She focuses on innovative approaches such as video-based learning, immersive technologies (XR, VR, AR), and digital inquiry methods. Her work promotes individual competence development, group collaboration, and knowledge sharing in educational and organizational contexts. She integrates AI technologies and digital tools to support problem-based and flexible learning environments. The recent publications and projects reflect a strong trend in digital education, particularly in music education, ESG reporting, and flexible learning frameworks. Her work increasingly incorporates artificial intelligence and stakeholder engagement in educational design. She has contributed extensively to pedagogical innovation through facilitation methods and digital transformation strategies in higher education. Rikke Ørngreen has been involved in impactful research with cultural, social, and quality-of-life benefits, particularly in Greenland and Danish educational institutions. Her projects have received attention in press and media, highlighting their relevance to contemporary educational challenges. She has supervised PhD students and collaborated with public and private partners on research management and development. Principal Investigator: 5+ major projects (2021–2028) PhD Supervision: Active involvement Grants: Funded by national and international foundations She leads the ILD-Lab: Research Lab for IT and Learning Design, which focuses on digital pedagogy, video in education, and immersive learning environments. She is also central to the Research Center for Video and the AI for the People initiative, fostering interdisciplinary collaboration on ethical and inclusive technology use in education.

Claus Brøndgaard Madsenمشاهده پروفایل

دانشیار

• Computer Vision
• Virtual Reality
• Augmented Reality
• +۷ مورد دیگر

Claus Brøndgaard Madsen is an Associate Professor in the Department of Architecture, Design and Media Technology at Aalborg University, under The Technical Faculty of IT and Design. He is based at Campus Aalborg and is affiliated with the Computer Graphics Group and VR Light research environment. His work bridges computer vision, virtual reality, and architectural design, with a strong focus on real-time visualization and human interaction in digital environments. Research Interests: His primary research areas include Computer Vision , Virtual Reality (VR) , Augmented Reality (AR) , 3D Reconstruction , Structure-from-Motion (SfM) , and Image-Based Lighting . These are applied in industrial VR, urban design evaluation, and sensory augmentation systems. His research fingerprint highlights strong engagement with Virtual Reality (100%), Augmented Reality (71%), Illumination Conditions (41%), and Wind Turbine Engineering (28%). The recent publications (2023–2025) reflect a consistent trend in enhancing user experience in VR/AR environments, with emphasis on spatial cognition, locomotion techniques, exposure control, and machine learning integration for lighting classification and part direction prediction in industrial contexts. These works are published in top-tier conferences such as EG, GRAPP, WACV, and CAADRIA. Scientific Awards: No specific awards or fellowships are mentioned in the provided text. Advising and Grants: Madsen has supervised PhD students and served as a supervisor in research projects like AAIVR. He is Principal Investigator (PI) in multiple funded projects, including BUMUS: Sustainable Expansion of Mussel Production (2024–2027), CityVR: Evaluating Parametric City Designs in VR (2020–2022), and V-BRT: Virtual Bus Rapid Transit (2019). These projects reflect substantial grant acquisition and leadership in applied VR research. Labs and Research Groups: He is a key member of the Computer Graphics Group and VR Light at Aalborg University, which focus on real-time visualization, lighting techniques, and immersive technologies for industrial and architectural applications.

Gerald Englmairمشاهده پروفایل

دانشیار

• Thermal Energy Storage
• Phase Change Materials
• Flexible Heating and Cooling Systems
• +۱۲ مورد دیگر

Gerald Englmair is an Associate Professor in the Section of Energy and Services within the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). He leads research and teaching initiatives in thermal energy storage, flexible heating and cooling systems, and solar energy integration at DTU campuses in Lyngby and Sisimiut. He actively contributes to international energy research collaborations, including EU-funded projects and IEA tasks. His research focuses on the experimental development, testing, and demonstration of thermal energy storage technologies, particularly those based on phase change materials (PCM) and supercooled sodium acetate trihydrate. His work enables compact, decentralized, and efficient energy storage solutions that support energy flexibility and sustainability. The recent publications highlight a strong trend in advancing the stability, performance, and real-world integration of thermal storage systems. Key areas include discharging dynamics, material degradation, and application in buildings and data centers. His research bridges engineering science with practical implementation in energy systems. Kalundborg Refinery Prize (2024) PhD Paper of the Year 2018 Innovation Award by FH Upper Austria (2015) Gerald Englmair has led multiple research projects, including EU-CETP “La-Flex”, EU "TREASURE", and IEA SHC Task 67/ES Task 40, where he serves as subtask lead and national coordinator for Denmark. He is also vice chair of the thermal energy storage working group at DaCES. His advisory roles include consultancy for public sector and international projects like STES4D in Spain. He mentors students and collaborates widely across Europe and China. He is actively involved in research networks, public outreach, and educational initiatives, including guest lectures, media appearances, and scientific advisory roles. His laboratory work focuses on experimental validation of thermal storage units and their integration into real-world energy systems.

Daniel Hardtمشاهده پروفایل

دانشیار

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +۴ مورد دیگر

Daniel Hardt serves as Associate Professor in the Department of Management, Society and Communication at Copenhagen Business School. His interdisciplinary research bridges computational linguistics, artificial intelligence, and social analysis, with particular focus on natural language processing applications and theoretical linguistic phenomena. His primary research domains include Computational Linguistics (specializing in ellipsis resolution and sluicing phenomena), Natural Language Processing (developing methods for psychographic classification and sentiment analysis), and Artificial Intelligence (examining large language model capabilities and limitations). Recent work analyzes travel behavior during crises, gender effects in evaluations, and GDPR policy comprehension through NLP techniques. His publications span top venues including Linguistic Inquiry , Tourism Management , and ACL proceedings. Hardt actively engages with practical business applications through 27 media contributions discussing AI implementation, ChatGPT transparency, and data-driven leadership strategies. His academic service includes organizing events like the 2019 "Fake News" conference at CBS and presenting at international venues including JSAI 2024. With 28 supervised academic works documented, he maintains substantial mentoring activity while contributing to public discourse on digital transformation challenges.

Jeppe Christoffersenمشاهده پروفایل

دانشیار

• Financial Statement Analysis
• Risk Assessment
• Capital Markets
• +۸ مورد دیگر

Jeppe Christoffersen is an Associate Professor at the Department of Accounting, Copenhagen Business School. As Center Manager at the Centre for Owner-Managed Businesses, he bridges academic research with practical applications in SMEs. His expertise spans financial reporting, risk assessment, and behavioral finance, with methodological versatility in archival data, surveys, experiments, and interviews. PhD from Copenhagen Business School MSc in Finance and Accounting Research Focus: Risk tolerance and herd behavior in financial forecasts Dysfunctional behavior in audit firm evaluations Trust dynamics in strategic alliances Employee flow impact on SME performance Managerial compensation strategies Internal reporting systems in small businesses Methodological Approach: Archival data analysis Survey design and implementation Controlled experimentation Qualitative interviews