Modeling & Simulation Professors and Supervisors in Denmark | ApplySharif

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جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۶۳۱-۶۴۵ از ۱٬۱۰۰ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Jørgen Roseمشاهده پروفایل

پژوهشگر

Aalborg UniversityDenmark

Jørgen Rose is a Senior Researcher and Head of Research Group at the Department of the Built Environment, Aalborg University. His work focuses on energy efficiency, building retrofitting, and sustainable urban development. He leads projects such as the 'Bygningshub – data til den grønne omstilling af bygninger' and contributes to initiatives like the EU-funded FuturHist project. His research emphasizes life cycle assessment (LCA), district-level energy planning, and policy frameworks for climate-resilient buildings. Rose has co-authored over 160 publications and actively engages in media discussions on topics like energy renovation potentials and carbon footprint reduction. Key Projects: Climate Adaptation in Building Regulations, FuturHist (EU Horizon Europe), LCA-Based Limit Values for Construction Expertise: Energy Conservation, Sustainable Architecture, Historic Building Renovation Media Contributions: Debates on green building transitions and cost-effective energy policies Rose’s research bridges technical innovation with policy implementation, particularly in optimizing energy systems and reducing carbon footprints across residential and historic buildings. His work frequently addresses Denmark’s national building regulations and international sustainability standards.

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Asbjørn Malte Olesenمشاهده پروفایل

پژوهشگر ارشد

Aalborg UniversityDenmark

Asbjørn Malte Olesen is a Research Fellow at the Department of Materials and Production, Faculty of Engineering and Science, Aalborg University. His work focuses on numerical simulation and experimental analysis of fiber-reinforced polymers for sustainable wind turbine applications, directly contributing to UN Sustainable Development Goals in Education. Education: Ph.D. in Mechanical Engineering (2020-2024) M.Sc. in Mechanical Engineering (2018-2020) Research Interests: Dr. Olesen's expertise spans composite materials, mechanical engineering, and computational mechanics, with specialized applications in wind turbine blade design. His research integrates experimental characterization of material failure mechanisms with advanced simulation techniques to develop durable composite structures for renewable energy infrastructure. Publication Trends: Recent articles demonstrate a consistent focus on failure analysis of composite materials, including novel methods for crack detection, delamination modeling, and virtual prototyping of manufacturing processes. Computational techniques like finite element analysis and automated image processing are prominently featured across his work. Projects: CIRCWIND (2024-2028): Circular material solutions for wind turbine blades NextGenBlade (2023-2026): Damage-tolerant wind blade designs MADEBLADES (2020-2023): Offshore wind turbine blade manufacturing

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Daniel Ortiz Arroyoمشاهده پروفایل

دانشیار

Aalborg UniversityDenmark

Daniel Ortiz Arroyo is an Associate Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Intelligent Energy Systems and Flexible Markets department. His research focuses on AI-driven solutions for energy systems, wastewater treatment optimization, robotics, and deep learning applications in industrial systems. He leads and collaborates on projects such as AITEKS (AI for Tech Support), OPTIMIZE (Deep Reinforcement Learning in Fermentation), and amphibious drone development for infrastructure inspection. Key research areas include reinforcement learning for environmental control systems, synthetic data generation for defect detection, and predictive modeling in wastewater treatment. His work integrates machine learning with physical systems to enhance efficiency and sustainability. Notable contributions include grey-box models for N₂O dynamics and amphibious quad-rotor designs for pipeline inspection. Dr. Arroyo has contributed to over 97 publications, including peer-reviewed journal articles and conference proceedings, focusing on AI applications in energy, environment, and robotics. He actively participates in editorial peer review for journals like Evolutionary Intelligence and CRC Press . His projects involve collaborations with industry partners like Novo Nordisk Foundation and Innovation Fund Denmark, addressing challenges in microbial fermentation, fiber rope inspection, and wind turbine maintenance. He maintains a strong emphasis on data-driven innovation and interdisciplinary research.

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Sarah Krogh Iversenمشاهده پروفایل

پژوهشگر ارشد

Aalborg UniversityDenmark

Sarah Krogh Iversen is a Research Fellow at the Department of the Built Environment, part of the Faculty of Engineering and Science at Aalborg University. Her research focuses on directional analysis of waves, wave energy systems, and experimental testing of coastal engineering solutions. She is affiliated with the Ocean and Coastal Engineering Research Group and the BLUE – Marine & Maritime Research initiative. Her academic projects include the Directional Analysis of Nonlinear, Short-Crested Waves in Physical Models (2022–2025) and the EXOWAVE project (2022–2024), which explores wave energy converters and power production optimization. She has published extensively on topics like the NL-SORS method for wave separation and directional spectrum estimation techniques. Professional activities include participation in major conferences such as the European Wave and Tidal Energy Conference (2023) and CoastLab24 (2024), where she presented work on directional spectrum estimation and physical modelling. Her work bridges theoretical analysis with practical applications in marine renewable energy and coastal engineering. Labs/Teams: Active in the Ocean and Coastal Engineering Research Group and the EXOWAVE collaborative team focused on oscillating wave surge converters.

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Galadrielle Humblot-Renauxمشاهده پروفایل

پژوهشگر ارشد

Aalborg UniversityDenmark

Galadrielle Humblot-Renaux is a Research Fellow at Aalborg University's Technical Faculty of IT and Design, affiliated with the Department of Architecture, Design and Media Technology and the Section for Media Technology in Aalborg, Denmark. Her work focuses on AI-driven solutions for computer vision, robotics, and uncertainty quantification in machine learning systems. Key Research Areas Out-of-Distribution Detection and Robustness Testing 3D Semantic Segmentation and Point Cloud Processing Uncertainty Quantification in Renewable Energy Systems Human-Robot Interaction and Speaker Identification Marine Ecology Image Analysis via Multi-Annotator Datasets Scientific Contributions She has created two influential datasets: JAMBO (2024) for underwater benthic habitat classification and Why Talk to People When You Can Talk to Robots? (2021) for far-field speaker identification challenges. Her publications across 2018-2025 demonstrate interdisciplinary expertise bridging AI theory with practical applications in robotics, automotive systems, and ecological monitoring.

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Anna Lyhne Jensenمشاهده پروفایل

استادیار

Aalborg UniversityDenmark

Anna Lyhne Jensen is an Assistant Professor at AAU Energy within the Thermal Engineering Department at Aalborg University's Faculty of Engineering and Science. Her research focuses on computational fluid dynamics (CFD), pump design optimization, heat transfer analysis, and marine growth mitigation. She has contributed to projects like ACOMAR: Auto Compact Marine Growth Remover and Clogging in Waste Water Pumps , demonstrating expertise in fluid-structure interaction and industrial fluid machinery challenges. Her academic work spans experimental and numerical studies, with notable contributions to marine growth inspection via autonomous systems, heat transfer enhancement using roughness elements, and CFD-DEM coupled simulations for clogging phenomena. She actively participates in initiatives like Girls' Day in Science to promote STEM education. Key research areas include: CFD modeling of complex flow regimes Optimization of wastewater pump systems Autonomous underwater inspection technologies Passive heat transfer augmentation strategies Her recent publications (2016–2022) reflect advanced work in fluid dynamics, pump optimization, and marine engineering solutions. Professional activities include project supervision roles and participation in multidisciplinary engineering collaborations.

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Mauro Gallegatiمشاهده پروفایل

استاد

University of CopenhagenDenmark

Mauro Gallegati is a Professor of Economics at the Polytechnic University of Marche in Ancona, Italy. He has held visiting positions at leading institutions including MIT, Stanford University, University of Cambridge, Santa Fe Institute, Brookings Institution, and ETH Zurich, reflecting his international standing in economic theory and complexity science. His research centers on complex economic systems , particularly through agent-based modeling of heterogeneous interacting agents. His work explores business fluctuations, financial fragility, coordination failures, and emergent macroeconomic phenomena . He is renowned for his collaborative research with Joseph E. Stiglitz on asymmetric information and heterogeneous agent models, which has been highly influential in modern macroeconomics and complexity economics. Prof. Gallegati has contributed to top journals in economics, econophysics, nonlinear mathematics, and applied economics. His research group specializes in the design and analysis of simulations for complex economic dynamics. He has participated in multiple European research projects since 2004, including the FOC project (2010–2013), focused on forecasting financial crises using complexity theory. He serves on the editorial board of the Journal of Economic Interaction and Coordination , supporting scholarly discourse in interdisciplinary economic research. While no specific awards or students are listed in the provided text, his sustained involvement in high-impact research, editorial roles, and leadership in EU-funded projects demonstrates significant contributions to the field. He leads a research group dedicated to advancing simulation-based understanding of economic systems, fostering innovation in both methodology and policy-relevant insights.

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Yamir Morenoمشاهده پروفایل

استاد

University of CopenhagenDenmark

Prof. Yamir Moreno is a Professor of Physics at the Department of Theoretical Physics, Faculty of Sciences, University of Zaragoza, where he also serves as Director of the Institute for Biocomputation and Physics of Complex Systems (BIFI) and leads the Complex Systems and Networks Lab (COSNET). He holds international affiliations as Research Director at CENTAI Institute (Turin, Italy) and External Professor at the Complexity Science Hub Vienna (Austria), and was previously a Principal Scientist and Area Coordinator at the ISI Foundation. PhD in Physics, University of Zaragoza (Summa Cum Laude, 2000) Ramón y Cajal Fellow (2005-2010) First-class Fellow, ISI Foundation Fellow, American Physical Society (2021) Fellow, Network Science Society (2022) His research focuses on complex systems , network science , epidemic modeling , and social dynamics . He investigates disease dynamics, diffusion processes, nonlinear systems, and higher-order network structures using tools from physics, mathematics, and data science. His work bridges theoretical foundations with real-world applications in public health, urban systems, and social behavior. Recent publications highlight trends in multilayer and higher-order networks , digital twins of cities , epidemic modeling with behavioral feedback , and social contagion in complex systems . His research integrates data-driven modeling, machine learning, and network theory to study urban resilience, information spread, and collective behavior. Complex Systems Society’s Senior Scientific Award (2019) Highly Cited Researcher (Web of Science, 2019) Service Award, Complex Systems Society (2022) Editor-in-Chief, Journal of Complex Networks Editor, PLoS Computational Biology, Chaos, Solitons & Fractals, Proceedings of the Royal Society A Divisional Associate Editor, Physical Review Letters (2014-2020) Prof. Moreno has supervised 23 PhD theses and over 30 master’s theses. He has led multiple EU-funded projects and has served on advisory boards for the EU Future and Emerging Technologies and the WHO Collaborative Center on Complexity Sciences for Health Systems. His collaborative network spans institutions in Europe, Latin America, and North America. He leads the Complex Systems and Networks Lab (COSNET) at BIFI, a multidisciplinary team focused on network theory, computational epidemiology, and social dynamics. The lab develops models for epidemic forecasting, urban resilience, and collective behavior using high-performance computing and data analytics.

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Anxo Sánchezمشاهده پروفایل

استاد

University of CopenhagenDenmark

Anxo Sánchez is a Full Professor of Applied Mathematics at Universidad Carlos III de Madrid, where he founded the interdisciplinary research group GISC (Grupo Interdisciplinar de Sistemas Complejos) in 1996. He is also an Associated Researcher at the Institute for Biocomputation and Physics of Complex Systems, Universidad de Zaragoza. His academic affiliations reflect a strong commitment to interdisciplinary research at the intersection of physics, mathematics, and the social and biological sciences. His research interests lie in the application of complex systems theory to real-world phenomena. Key areas include social dynamics , behavioral economics , evolutionary game theory , and ecological modeling . He investigates how collective behaviors emerge from individual interactions, with applications ranging from primate social structures to human decision-making. His work combines mathematical modeling, computational simulations, and experimental validation, often involving large-scale citizen science initiatives involving over 2,000 participants. The recent trend in his publications highlights a deep engagement with social norm modeling , belief dynamics , and experimental game theory . His work integrates theoretical rigor with empirical testing, bridging abstract physics-inspired models with observable human behavior. He has been Principal Investigator for 21 research projects funded by major institutions including the European Commission and NATO. He has collaborated with industrial partners such as Repsol and Siemens-Gamesa, co-founded the data science spin-off Kampal Data Solutions, and works with Evidence-based Behavior on interactive social games. He is a member of the executive committee of the Complex Systems Society and part of the expert network of Fundación COTEC, where he co-directs the Behavioral Economy Lab. These roles underscore his leadership in both academic and applied domains of complex systems science. The labs and research groups he leads or contributes to include the GISC (Interdisciplinary Group on Complex Systems) at UC3M and the Behavioral Economy Lab at Fundación COTEC. These teams focus on interdisciplinary collaboration, open science practices, and translating theoretical insights into practical applications in policy, industry, and public engagement.

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Vito D. P. Servedioمشاهده پروفایل

پژوهشگر

University of CopenhagenDenmark

Vito D. P. Servedio is a senior researcher at the Complexity Science Hub in Vienna, specializing in complex systems analysis applied across diverse domains including human dynamics, innovation, economic complexity, and railway systems. With a background in physics, he has developed expertise in ab initio calculations for electronic properties of materials and agent-based modeling of social and technological systems. His research interests span conceptual and practical applications, with significant contributions to innovation dynamics, opinion dynamics, and complex network analysis. His interdisciplinary approach applies complex systems methodologies to unconventional areas such as chess, blockchain technology, and music analysis. He has led major projects including the Kouzan group which secured a US patent for a blockchain-based device recording information flow in working groups, and developed macroscopic railway simulations for the Austrian railway system. His recent work focuses on the Science of Science, studying global migration patterns of researchers and identifying patterns in scientific capacity building. His publication record demonstrates a clear trend toward increasingly interdisciplinary work, with recent papers bridging network science, transportation systems, cultural dynamics, and scientific evolution. His research consistently applies quantitative methods to complex social and technological phenomena, revealing underlying patterns in seemingly disparate domains. US patent for a blockchain-based device recording information flow in working groups Vito leads multiple research projects including Train Operating Forecasting (TOF I and II) focused on optimizing Austrian railway systems, the Kouzan project on blockchain applications for knowledge transfer, and the CSH PostDoc Program aimed at strengthening scientific expertise in digitalization and data science. His work frequently involves collaboration with institutions including Sony CSL Paris and Austrian railways (ÖBB). He has also contributed to significant visualizations such as tools for optimizing train traffic in Austria and models for analyzing district collapse risk in healthcare systems.

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Jannie Kristine Bang Gramمشاهده پروفایل

پژوهشگر

Aalborg UniversityDenmark

Jannie Kristine Bang Gram is a researcher at Aalborg University Hospital, affiliated with the Faculty of Medicine and the Department of Anaesthesiology and Intensive Care. She holds a PhD from Aalborg University, where she was based in the Department of Sociology and Social Work. Her work bridges clinical medicine, public administration, and organizational sociology, with a focus on innovation in emergency and telehealth systems. Her research interests include interorganizational collaboration, trust dynamics in healthcare networks, telemedicine implementation, and the use of emerging technologies such as drones in emergency response. She explores how digital tools and collaborative practices evolve across institutional boundaries, particularly in large-scale public health initiatives. Her recent publications highlight a strong trend in applying technological innovation to emergency care, such as drone-based defibrillator delivery and real-time video in emergency dispatch, alongside deep qualitative studies on trust and organizational change in telehealth. This reflects a dual focus on both technological feasibility and sociological implications of healthcare digitalization. She has been involved in significant research projects, including longitudinal studies on patient experiences and cross-regional model projects in the Capital Region of Denmark. Her work is frequently published in peer-reviewed journals in health services research, public administration, and emergency medicine. She has presented at international conferences such as the Academy of Management and participated in research visits, including at the University of California, Berkeley. She is also a member of Dansk Lungeforening (Danish Lung Association), indicating engagement with public health advocacy. Laboratory or team affiliations are not explicitly detailed, but her collaborative projects suggest she works within multidisciplinary research teams focused on emergency care innovation and health system transformation.

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Tim Dominik Maurerمشاهده پروفایل

پژوهشگر ارشد

Copenhagen Business SchoolDenmark

Tim Dominik Maurer is a Postdoctoral Researcher jointly affiliated with Copenhagen Business School (60%) and NHH Norwegian School of Economics (40%) , with a focus on macroeconomics, public economics, and labor economics . He holds a PhD in Economics (2023) and an MSc in Economics and Finance (2018) from Copenhagen Business School, and a BSc in Economics (2015) from the University of Zurich. Education PhD in Economics (2023), Copenhagen Business School MSc in Economics and Finance (2018), Copenhagen Business School BSc in Economics (2015), University of Zurich His research combines computational methods for solving dynamic stochastic life-cycle models with policy analysis on pension systems, retirement reform, and demographic challenges . He has published in the Journal of International Money and Finance and maintains open-source toolkits for OLG models. Collaborations include work with Frederik Bjørn Christensen, Max Groneck, and Johanna Wallenius. Scientific contributions include studies on US monetary policy transmission, annuitization in open economies, and pension inequality. He teaches Pension Economics and Computational Macroeconomics at the master’s and PhD levels, and actively shares code for economic simulations on GitHub.

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Iris Adamمشاهده پروفایل

استادیار

University of Southern DenmarkDenmark

Iris Adam is an Assistant Professor in the Department of Biology at the University of Southern Denmark, affiliated with the SDU Climate Cluster . Her research focuses on the intersection of neuroscience , behavioral biology , and vocal communication , particularly in songbirds like the zebra finch ( Taeniopygia guttata ). Her work explores how motor control and muscle physiology enable precise birdsong production , including the role of synchrotron imaging in mapping vocal anatomy. Recent projects like Why singing is golden (2025–2029) investigate vocal performance and muscle training in songbirds. Key publications include studies on vocal fold innervation (Current Biology, 2021) and virtual environment simulations of singing behavior (Scientific Reports, 2022). Media coverage highlights her findings on daily vocal workouts and vocal muscle maintenance in birds. Scientific Awards : Villum Young Investigator Grant (2024) Villum Experiment Grant (2020) Her research is funded by private foundations and national agencies like the Carlsberg Foundation and the Danish Ministry of Education and Research.

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Anton Danholt Lautrupمشاهده پروفایل

پژوهشگر

University of Southern DenmarkDenmark

Anton Danholt Lautrup is a PhD student in Data Science at the Department of Mathematics and Computer Science, University of Southern Denmark. His research focuses on synthetic data generation, feature selection, and privacy-preserving techniques in machine learning. Education Master of Science in Physics, Quantum generative adversarial network models on a simulated photonic platform, Aarhus University (2022) Bachelor of Science in Physics, Aarhus University (2020) Research Trends His work spans computer science, artificial intelligence, and data mining, with a focus on synthetic data applications, evaluation metrics for machine learning, and quantum computing-inspired models. Publications from 2025 highlight collaborations on healthcare data privacy, benchmarking frameworks, and inter-dataset similarity analysis.

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Sebastian Weichwaldمشاهده پروفایل

دانشیار

University of CopenhagenDenmark

Sebastian Weichwald is an Associate Professor at the Department of Mathematical Sciences , University of Copenhagen. He leads the Copenhagen Causality Lab (CoCaLa) and co-leads the Causality and Explainability (CX) collaboratory at the Pioneer Centre for AI. His academic journey includes a PhD at ETH Zurich (2019) and postdoctoral work at the University of Copenhagen. Research Interests: Causal Modelling, Causal Discovery, Structural Equation Models, Time Series Analysis, Neuroimaging, Biomedical Data Analysis. Awards: Best student paper at CIP 2014, Winner of Causality 4 Climate NeurIPS 2019 competition. Collaborations: Active in interdisciplinary projects with applications in cardiology, neuroscience, and biomedical imaging. Software Tools: Developed open-source libraries including CausalDisco , coroICA , tidybench , and Pymanopt for causal discovery, signal processing, and manifold optimization.

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