جست‌وجوی استاد و پژوهشگر

Nina Gierasimczukمشاهده پروفایل

دانشیار

• Epistemic Logic
• Formal Learning Theory
• Artificial Intelligence
• +۳ مورد دیگر

Nina Gierasimczuk is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), affiliated with the Algorithms, Logic and Graphs research group. Her work focuses on formal learning theory, epistemic logic, and computational models of cognitive processes. She holds a PhD from 2010, titled Knowing one's limits: Logical analysis of inductive inference . Her research interests include the logical foundations of learning, multi-agent systems, and the dynamics of knowledge and belief revision. She has supervised multiple PhD students in areas like dynamic logic, formal learning, and AI applications. Key projects involve modeling cognitive agents, semantic universals, and belief revision mechanisms in artificial intelligence contexts. Publications span topics such as causal intervention learning, semantic alignment in populations, and the integration of logic with learning theory. Her work bridges theoretical computer science, philosophy, and cognitive science. She is actively involved in international workshops and conferences, contributing to the advancement of dynamic logic and epistemic systems. Professional activities include examining PhD theses, advising on multi-agent systems, and collaborating on projects like hospital staff planning with multi-agent goals. Her research has been published in venues like Journal of Logic and Algebraic Programming and proceedings of the International Workshop on Dynamic Logic .

Thomas Jungløw Thessenمشاهده پروفایل

مدرس پاره‌وقت

• Transportation Economics
• Urban Development
• Sustainable Aviation
• +۳ مورد دیگر

Thomas Jungløw Thessen is a PartTime Lecturer at Aalborg University's Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. He holds a Master's degree in Economics from University of Copenhagen and serves as Chief Economist at Copenhagen Airport. Current academic affiliation: Aalborg University Professional role: Chief Economist Key research areas: Transportation Economics, Sustainable Aviation, Regional Development His work focuses on socio-economic impacts of aviation infrastructure, including economic modeling, tourism analysis, and environmental considerations. Recent activities include chairing committees at ACI Europe and participating in academic collaborations.

Oke Gerkeمشاهده پروفایل

استاد

• Clinical Biostatistics
• Diagnostic and Prognostic Trials
• Molecular Imaging
• +۱۲ مورد دیگر

Oke Gerke is a Professor in Clinical Biostatistics in Diagnostic Research at the Department of Clinical Research, University of Southern Denmark, and a Biostatistician at the Department of Nuclear Medicine, Odense University Hospital. He is affiliated with the Research Unit of Clinical Physiology and Nuclear Medicine in Odense and holds a DMSc from the Faculty of Health Sciences at SDU. MSc in Mathematics and Economics, University of Hamburg (1998) PhD in Statistics and Econometrics, University of Hamburg (2001) DMSc, Faculty of Health Sciences, University of Southern Denmark (2024) Lecturer Training Programme, University of Southern Denmark (2010) His research centers on the methodological foundations of diagnostic and prognostic trials in molecular imaging. He specializes in adaptive and sequential trial designs, Bland-Altman agreement analysis, ROC curve methodology, and network meta-analysis of diagnostic accuracy studies. His work bridges biostatistics, clinical epidemiology, and nuclear medicine, with applications in oncology, cardiology, and public health. He has contributed extensively to improving reporting standards in diagnostic research and statistical methodology in clinical trials. The recent articles highlight a strong trend toward methodological innovation in diagnostic research, with a focus on adaptive and seamless trial designs, real-time evaluation frameworks during outbreaks, and advanced statistical techniques for agreement and cutpoint analysis. His clinical work integrates nuclear imaging modalities like PET/CT in cancer and cardiovascular disease, supported by rigorous meta-analytic and biostatistical approaches. He is a member of the following scientific societies: International Biometric Society (IBS) International Society for Clinical Biostatistics (ISCB) Danish Society for Theoretical Statistics (DSTS) Oke Gerke has supervised 1 PhD as main supervisor and 22 as co-supervisor, with 10 completed master’s theses under his main supervision and 4 ongoing PhD projects as co-supervisor. He has been involved in research projects such as the Neurobiological effects of work-related adjustment disorder, contributing to both statistical design and analysis. While no specific grants are listed, his extensive publication record and collaborative research indicate active grant-supported work. He frequently participates in workshops, seminars, and conferences, delivering guest lectures on topics such as network meta-analysis and diagnostic test evaluation. He is actively involved in academic and clinical research teams at SDU and OUH, particularly within the Research Unit of Clinical Physiology and Nuclear Medicine. His collaborative network spans multiple disciplines, including cardiology, oncology, and psychiatric research, reflecting a multidisciplinary approach to clinical biostatistics.

Ronnie Pedersenمشاهده پروفایل

مدرس پاره‌وقت

• Wind Turbine Engineering
• Computational Mechanics
• Structural Dynamics
• +۶ مورد دیگر

Ronnie Pedersen is a Part-time Lecturer at Aalborg University's Faculty of Engineering and Science, specifically within the Esbjerg Energy Section. His research focuses on wind turbine engineering, computational mechanics, structural dynamics, and pedagogical methods in university teaching. He has contributed to projects like the Structural Assessment of Operational Offshore Wind Turbines (2018-2021), serving as Project Coordinator. His work intersects energy systems with technical disciplines, including aerodynamics, material modeling, and aeroelasticity. Notable contributions include mesoscopic modeling of porous concrete behavior under impact and closed-loop wind turbine model updates using blade pitch excitation. Pedersen also engages in educational research related to engineering pedagogy and university teaching methodologies. Key Research Areas: Offshore wind turbine structural assessment, fatigue analysis, computational modeling, and engineering education. Recent Projects: Structural Assessment of Operational Offshore Wind Turbines (2018-2021). Publications span structural health monitoring, material failure analysis, and offshore foundation design. His work emphasizes practical applications in energy infrastructure and engineering education.

Kristian Ladefoged Ebbehøjمشاهده پروفایل

پژوهشگر ارشد

• Structural Dynamics
• Vibration Analysis
• Wind Turbine Engineering
• +۴ مورد دیگر

Kristian Ladefoged Ebbehøj serves as an Industrial Postdoc in Solid Mechanics at the Department of Civil and Mechanical Engineering, Technical University of Denmark (DTU). His research focuses on advanced vibration analysis and damping estimation techniques for complex engineering systems. His primary research interests include structural dynamics of wind turbines, nonstationary system behavior, and Gaussian process modeling for vibration analysis. Key specializations involve short-term damping prediction in fluid-loaded structures and wind turbine systems under operational variability, with emphasis on environmental impact mitigation and real-time monitoring solutions. Recent publications demonstrate expertise in time-varying vibrating structures, where he develops model-based methods for damping estimation under nonstationary conditions. His work bridges theoretical dynamics with practical wind energy applications, particularly in blade vibration control and fluid-structure interaction phenomena. Scientific contributions include: Experimental validation of damping estimation methods for wind turbines (2024) Short-term model-based damping prediction for fluid-loaded structures (PhD thesis, 2024) Gaussian process time series models for operational variability compensation (2023) His research program 'Short-term model-based damping prediction for fluid-loaded structures' (2021-2024) involved collaboration with supervisors J.J. Thomsen, J.B. Høgsberg, and P. Couturier, with examination by A. Brandt and K. Worden. The project generated significant academic output with 7 publications including journal articles and conference proceedings, demonstrating strong industry relevance through the 'Industrial Postdoc' position.

Yu Jiangمشاهده پروفایل

دانشیار

• Transportation Science
• Transit Assignment
• Traffic Assignment
• +۱۳ مورد دیگر

Yu Jiang is an Associate Professor in the Department of Transportation Systems Modelling at the Technical University of Denmark (DTU), within the Department of Technology, Management and Economics. He is actively engaged in research and supervision, with a strong focus on transportation science and systems optimization. He is accepting PhD students and maintains an active research profile with numerous ongoing projects and publications. Education: PhD, The University of Hong Kong (2010–2014) His research interests include static and dynamic transit/traffic assignment, network design, infrastructure resilience and vulnerability, multi-objective optimization, and metaheuristics. These areas are central to improving urban mobility, public transport efficiency, and sustainable transportation systems. His work contributes to UN Sustainable Development Goals related to sustainable cities and responsible consumption. Recent publications (2025) reflect a strong trend in applying advanced optimization and machine learning techniques to urban transportation challenges, including traffic signal control, last-mile delivery, intermodal travel behaviour, and demand prediction across shared mobility systems. The research spans both theoretical modelling and practical case studies. Scientific Awards: No scientific awards listed in the provided text. Advising and Grants: Yu Jiang is the main supervisor for several PhD projects, including 'Development of an integrated optimisation model for operating urban transit system (SmoothTrip)', 'Crowdsourced Delivery as an Activity for Sustainable Cities', and 'Network Optimisation for Connected, Cooperative and Automated Mobility'. He is also a co-investigator in the NEMESYS project funded by the European Commission, focusing on dynamic pricing and tradable credits for emissions management. His academic activities include organizing conferences, presenting at international events, serving as a journal editor, and conducting peer reviews. Labs and Research Teams: He is part of the research network at DTU's Department of Technology, Management and Economics, collaborating on projects related to urban transit optimization, shared mobility, and sustainable freight. His work involves close collaboration with researchers from institutions such as Oxford University, NUS, and HKU, as well as international partners in ongoing research initiatives.

• Natural Language Processing
• Multimodal Understanding
• Machine Translation
• +۳ مورد دیگر

Israfel Salazar is a Research Fellow at the Department of Computer Science , University of Copenhagen, affiliated with the Natural Language Processing research group . His work focuses on multimodal understanding and representation, bridging natural language processing, machine translation, computer vision, genomics, and historical data analysis. Email : israfel.salazar@di.ku.dk Phone : +4535337068 Research interests include: Culturally aware multimodal machine translation Massively multilingual vision evaluation Genomic offset statistics Temporal data extraction from historical documents His recent publications highlight interdisciplinary approaches combining language and vision systems, statistical modeling for biological data, and historical record analysis. He contributes to benchmarking frameworks and evaluation methodologies for modern AI applications. Israfel's work spans both foundational and applied research domains, with a focus on cross-modal learning, computational methods in bioinformatics, and automated analysis of historical archives. His projects often require hybrid techniques integrating linguistic and visual modalities. He operates within the Natural Language Processing section at DIKU, which also hosts research into probabilistic programming applications in bioinformatics, computer vision integration with NLP, and energy-efficient computational frameworks. Collaborations with other DIKU groups (e.g., FUTHARK for GPU acceleration, quantum programming) may inform his technical implementations.

Kristoffer Klochمشاهده پروفایل

پژوهشگر ارشد

• Inland Waterway Transport
• Autonomous Shipping
• Green Shipping
• +۳ مورد دیگر

Kristoffer Kloch is a PhD Fellow at the Department of Sustainability and Planning, The Technical Faculty of IT and Design, Aalborg University, with dual affiliation to Centre for Blue Governance and AAU BLUE – Marine & Maritime Research. His work bridges maritime technology, environmental sustainability, and transport policy within Denmark's blue economy initiatives. His academic background includes: M.Sc. in Digital Innovation & Management (2019-2021) from IT University of Copenhagen, thesis: From Cartography To Technology: How the digitalisation of the nautical chart has changed the work of navigators at sea B.Sc. in Maritime Transport & Nautical Science (2013-2017) from Svendborg International Maritime Academy, thesis: The legal challenges of unmanned ships Kloch's research investigates transformative technologies in waterborne transport, focusing on autonomous vessel integration, electrification of inland shipping, and regulatory frameworks for green transition. His methodology combines economic modeling with environmental impact assessment, particularly examining modal shifts from road to water transport. Current projects explore digitalization's role in navigation safety and operational efficiency within complex intermodal ecosystems. Analysis of his 2022-2025 publications reveals concentrated expertise in sustainable inland waterway systems, with recurring themes of competitiveness analysis (e.g., Rotterdam-Ghent corridor), lifecycle environmental assessments, and validation of automated transport use cases. His work consistently addresses the tension between technological innovation and practical implementation barriers in European waterway networks. As a core contributor to the EU-funded AEGIS project, Kloch develops validation frameworks for intermodal transport solutions and co-authors strategic roadmaps for automated waterborne systems. His collaborative network spans maritime academies, port authorities, and regulatory bodies across Northern Europe, reflecting the transnational nature of inland waterway challenges.

Yubo Songمشاهده پروفایل

پژوهشگر ارشد

• Microgrid Engineering
• Power Electronics
• Power Electronic Converters
• +۳ مورد دیگر

Yubo Song is a Postdoctoral Researcher at Aalborg University's Faculty of Engineering and Science, specializing in power electronics, microgrid systems, and reliability engineering. His work focuses on stability validation, control strategies, and the application of neuromorphic computing to power grids. His educational background includes: Ph.D. in Energy Technology from Aalborg University (awarded 2023) M.Sc. in Electrical Engineering from Shanghai Jiao Tong University (awarded 2019) B.Eng. in Electrical Engineering and Automation from Shanghai Jiao Tong University (awarded 2016) Dr. Song's research integrates microgrid engineering, power electronics reliability, and neuromorphic computing to address critical challenges in grid stability. His work pioneers Spike Talk technology for energy-efficient grid communication and develops hybrid modeling approaches for real-time power system simulation. Recent publications demonstrate expertise in damping control of grid-forming inverters, sensitivity analysis for reliability evaluation, and Bayesian risk assessment frameworks. His publication trends reveal a strategic shift toward neuromorphic solutions for power grids, with 2024-2025 works focusing on spike-based communication protocols and event-driven semantic systems. Earlier research centered on stability validation and reliability modeling for microgrids, establishing foundational frameworks still cited in current literature. Dr. Song has secured significant research funding including: Power Sentinel (Villum Foundation, 2024-2025): Developing cyber-physical safeguards for future power grids Reliability and Lifetime Analysis (2022-2025): Creating predictive models for power electronic components Stability and Reliability Validation (PhD project, 2020-2023): Establishing comprehensive microgrid assessment methodologies As Principal Investigator on multiple projects, he mentors early-career researchers while collaborating with industry partners on grid security solutions. His work with the Applied Power Electronic Systems group at AAU Energy focuses on translating theoretical advances into practical grid applications, particularly in converter reliability and neuromorphic grid communication.

• Operations Research
• Transportation Engineering
• Epidemiology
• +۳ مورد دیگر

Evelien van der Hurk is an Associate Professor at the Department of Technology, Management and Economics within DTU Management at the Technical University of Denmark. Her research focuses on optimization, simulation, and decision-making in transportation systems and public health. She specializes in public transport planning, epidemic modeling, and resilient infrastructure design. Her work integrates operations research techniques with real-world applications, addressing challenges such as rolling stock rescheduling, disease spread mitigation, and autonomous transit systems. She has contributed to advancing methodologies like matheuristics for timetabling and simulation-optimization frameworks for immunization strategies. Key research themes include transportation network design, passenger behavior analysis, and robust scheduling under uncertainty. Her articles often bridge theoretical models with practical implementation, emphasizing societal impact in urban mobility and public health policy. No scientific awards or student advisement details are explicitly mentioned in the provided materials. Her research has been published in leading journals and conferences, reflecting her expertise in interdisciplinary systems optimization.

Ole Ballingمشاهده پروفایل

استاد

• Multibody Dynamics
• Wind Turbine Engineering
• Operational Modal Analysis
• +۴ مورد دیگر

Ole Balling is a Professor at the Department of Mechanical and Production Engineering, Aarhus University, Denmark, specializing in multibody dynamics and vibration analysis. His work bridges theoretical mechanics with practical applications in renewable energy and agricultural systems, leveraging advanced computational modeling for industrial-scale engineering challenges. His primary research interests include Multibody Dynamics for structural simulation, Operational Modal Analysis in rotating machinery, Wind Turbine Engineering (focusing on gearboxes and blades), and Soil-Vehicle Interaction for agricultural/military applications. He also develops Digital Twin frameworks for agricultural vehicles and investigates Vibration Control in robotic systems, with strong emphasis on experimental validation and energy-efficient design. Recent publications (2020-2023) reveal concentrated expertise in offshore wind turbine reliability (gear microgeometry, tower vibrations), soil mechanics modeling (aggregate fracture, drawbar pull testing), and autonomous vehicle mobility frameworks. A recurring theme is the application of operational modal analysis to diverse systems—from parallel manipulators to wind turbine hubs—demonstrating cross-domain adaptability of his core methodologies in dynamics and control. Scientific Awards: No awards documented in source materials. Grants and project leadership highlight sustained NATO collaboration, including the ongoing Next Generation NATO Reference Mobility Model (NG-NRMM) (extending to August 2025) and Mobility Assessment Methods for Autonomous Military Ground Systems . Past projects include INNOMILL (2015-2018) for large-component machining, BioXtek (2014-2017) for agricultural technology, and Low Bottom Soft Soil Modeling (2013-2017) for terrain damage reduction. He operates within the Mechatronics and Dynamics section of the department, utilizing laboratories for vibration testing, soil mechanics experiments, and multibody simulation. Current work focuses on autonomous military vehicle assessment and wind turbine gearbox optimization, with future projects targeting energy-efficient accelerator magnets and large-scale machining cell development.

• Urology
• Erectile Dysfunction
• Extracorporeal Shockwave Therapy
• +۳ مورد دیگر

Anne Buchhave Olsen is a leading urologist at Aalborg University Hospital, affiliated with the Faculty of Medicine at Aalborg University. Her clinical and research work focuses on urological surgery, infections, and therapeutic innovations. Research Interests: Robotic-assisted prostatectomy (RARP) techniques and cost optimization Extracorporeal shockwave therapy (ESWT) for erectile dysfunction Actinobaculum schaalii's role in urogenital infections Differential diagnosis of urological and surgical conditions Recent Research Trends: Her publications (2012–2020) emphasize minimally invasive urological procedures, microbial characterization of urogenital pathogens, and clinical evaluations of novel treatments. Key subfields include robotic surgery, infection management, health economics, and non-invasive therapeutic modalities. Collaborations: She works with multidisciplinary teams across Aalborg University Hospital and has co-authored studies with colleagues in urology, microbiology, and clinical research.

• Cardiology
• Artificial Intelligence in Medicine
• Electrocardiogram Analysis
• +۳ مورد دیگر

Vajira Lasantha Bandara Thambawita serves as an External Researcher in the Department of Biomedical Sciences at the University of Copenhagen's Faculty of Health and Medical Sciences, focusing on the physiology of circulation, kidney, and lung with specialized expertise in AI-driven cardiovascular diagnostics. His research interests include: Development and validation of AI systems for cardiology Electrocardiogram (ECG) analysis using deep learning techniques Medical data privacy implications of generative models Explainable AI for clinical decision support Retinal image analysis for cardiovascular risk prediction Privacy-preserving methods in medical AI Analysis of his 2021-2025 publications reveals a critical focus on AI validation frameworks in cardiology, with significant contributions to ECG interpretation explainability and retinal image-based cardiovascular diagnostics. His work consistently addresses the tension between AI innovation and clinical safety, particularly regarding privacy vulnerabilities exposed by synthetic medical data generation. Dr. Thambawita operates within the University of Copenhagen's cardiovascular research ecosystem, contributing to interdisciplinary projects that bridge computational science and physiological medicine through the Heart, Renal and Circulation research group.

• Rheumatology
• Axial Spondyloarthritis
• Musculoskeletal Imaging
• +۳ مورد دیگر

Susanne Juhl Pedersen serves as a Clinical Associate Professor at the Department of Clinical Medicine within the Faculty of Health and Medical Sciences at the University of Copenhagen. Her research is centered at Rigshospitalet (Blegdamsvej 3, Copenhagen), where she leads investigations into inflammatory arthritis diagnostics and treatment monitoring. Her primary research focuses on axial spondyloarthritis pathophysiology and therapeutic interventions, particularly examining tumor necrosis factor (TNF) inhibitor efficacy through advanced imaging modalities. Key areas include MRI and ultrasonography validation, disease activity index development, and biomarker identification for treatment response assessment. Her work bridges clinical rheumatology with quantitative imaging science to optimize patient management strategies. Analysis of her 2020-2024 publications reveals consistent emphasis on imaging reliability, treatment monitoring biomarkers, and standardized assessment protocols in spondyloarthritis. Her research demonstrates strong international collaboration patterns across European rheumatology centers, with particular focus on methodological rigor in clinical trial design and imaging outcome measures. No scientific awards were documented in the provided source material. Dr. Pedersen's collaborative research framework involves multi-center clinical trials and methodological validation studies, likely supported by Danish and European rheumatology research grants. While specific funding sources aren't detailed in the text, her publication patterns indicate sustained research activity through institutional and consortium-based support mechanisms. She operates within the rheumatology research ecosystem at Rigshospitalet and the University of Copenhagen, contributing to both clinical service delivery and academic training programs while advancing imaging-based assessment standards for inflammatory spinal diseases.

Jesper Bøje Andersenمشاهده پروفایل

استاد

• Immunogenomics
• Metabolism
• Epigenomic remodeling
• +۷ مورد دیگر

Professor Jesper Bøje Andersen is a Professor in Translational Hepatology at the University of Copenhagen, based at the Biotech Research and Innovation Centre (BRIC) within the Faculty of Health and Medical Sciences. He leads the Andersen Group, which focuses on utilizing genome-wide approaches to model disease causality and develop diagnostic, prognostic, and therapeutic strategies for hepatobiliary cancers. Education: PhD in Translational Genomics and Epigenomics from Aarhus University, Denmark (2006) Joint research fellowship at University of Maryland, Department of Medicine, Marlene and Stewart Greenebaum Cancer Center, Baltimore, USA (2003-2007) Professor Andersen's research centers on three main themes: Immunogenomics, metabolism, and epigenomic remodeling in the context of hepatobiliary cancers. His work aims to significantly guide novel treatment modalities and impact clinical practice to improve patient outcomes. The Andersen Group employs cutting-edge technologies including single-cell genomics, tumor heterogeneity analysis, and cross-species integrative omics approaches to understand liver and bile duct cancers at a molecular level. Analysis of Professor Andersen's recent publications reveals a strong focus on cholangiocarcinoma and hepatocellular carcinoma, with research spanning from basic molecular mechanisms to clinical applications. His work increasingly integrates genomic, epigenomic, and immunological approaches to develop precision medicine strategies for liver cancers. Notably, his team has been advancing understanding of tumor heterogeneity, molecular subtypes, and potential therapeutic targets in biliary tract cancers. Scientific Awards: Danish Cancer Society Research Scholarship (2002) AFAR Junior Investigator Award (2007) ISICR Young Investigator Award (2007) Danish Medical Research Council Award (2008) EASL Young Investigator Award (2008) ILCA Investigator Award (2010) Danish Cancer Society "Knæk Cancer" Talented Young Investigator (2014) Novo Nordisk Foundation Hallas-Møller Fellowship (2015) Novo Nordisk Foundation Research Leader Program (2022) Professor Andersen is an active mentor and advisor, having founded and directed BRIC's Postdoc Career Program. He has secured numerous competitive grants from Danish and European funding agencies, including the European Association for the Study of the Liver (EASL) Sheila Sherlock fellowship and multiple Marie Sklodowska-Curie postdoctoral fellowships. His research has been supported by prestigious organizations including the Independent Research Fund Denmark, Danish Cancer Society, and Novo Nordisk Foundation. The Andersen Group operates within the Biotech Research and Innovation Centre (BRIC) at the University of Copenhagen. Professor Andersen has co-founded several international collaborations including the European Network for the Study of Cholangiocarcinoma (ENSCCA), Global Cholangiocarcinoma Alliance, and Precision-BTC network. He serves as an active participant in the Cholangiocarcinoma Foundation USA and member of the International Cholangiocarcinoma Research Network, demonstrating his leadership in creating global research networks focused on rare liver cancers.