جست‌وجوی استاد و پژوهشگر

Jakob Kibsgaardمشاهده پروفایل

استاد

• Catalysis
• Electrocatalysis
• Ammonia Synthesis
• +۵ مورد دیگر

Jakob Kibsgaard is a Surface Physics and Catalysis Professor and Section Leader at the Department of Physics, Technical University of Denmark (DTU). He leads research in the VISION – Center for Visualizing Catalytic Processes and maintains an active research program focused on electrocatalysis, ammonia synthesis, and energy conversion technologies. His research interests span catalysis, electrocatalysis, ammonia synthesis, hydrogen production, CO2 conversion, and nanomaterials. Kibsgaard's work primarily addresses sustainable energy solutions through advanced catalyst design and characterization. His research group investigates fundamental processes at atomic and molecular levels to develop efficient catalysts for energy conversion reactions, with particular emphasis on electrochemical ammonia synthesis and CO2 hydrogenation. Analysis of his recent publications reveals a strong focus on dual and triple atom electrocatalysts, advanced imaging techniques for catalyst characterization, and innovative approaches to ammonia synthesis. His work spans multiple energy conversion reactions including CO2 reduction, nitrogen reduction, oxygen reduction, oxygen evolution, and hydrogen evolution. The research combines experimental approaches with theoretical insights to develop next-generation catalysts for sustainable energy applications. Kibsgaard actively supervises multiple PhD students including Thorlacius-Ussing, Tokman, Wu, Griffin, Kazaz, and Pedersen, with projects spanning controlled synthesis of catalysts, exploration of electrocatalysts at atomic scale, and discovery of new dual and triple atom electrocatalysts. His research is supported by various projects with both active and completed funding. His laboratory work centers around the Surface Physics and Catalysis section at DTU Physics, where he utilizes advanced characterization techniques including transmission electron microscopy, X-ray photoelectron spectroscopy, and custom-designed electrochemical cells to study catalytic processes at fundamental levels.

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.

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Haeun Yu is a PhD Fellow at the Department of Computer Science, University of Copenhagen, affiliated with the Natural Language Processing and Pioneer AI sections. Her research focuses on language models, retrieval-augmented generation, and model interpretability within artificial intelligence and natural language processing. Key Research Themes: Context utilization in generative AI, knowledge conflicts in QA systems, parametric knowledge attribution. Collaborations: Engages in interdisciplinary projects with researchers in NLP, machine learning, and computer vision. Publications: Recent work addresses dynamic QA systems and parametric knowledge attribution in ACL and EMNLP conferences.

• Image Registration
• Image Segmentation
• Image Classification
• +۶ مورد دیگر

Sune Darkner is a Professor at the Department of Computer Science (DIKU) at the University of Copenhagen, specializing in the Image Analysis, Computational Modelling, and Geometry research section. His work focuses on medical image processing with particular emphasis on neuro-imaging data including MRI and PET scans. His primary research interests include Image Registration, Segmentation and Classification of Medical Image Data , with a specific focus on estimation of image similarity as his main research interest. Darkner strongly believes that the implementation of image processing algorithms should be thoroughly tested and reflect the theoretical properties as accurately as possible. His work primarily centers on neuro-imaging data such as MRI and PET. His recent publications (2024-2025) reveal a strong focus on medical image analysis, with particular emphasis on tumor volume delineation, deformable image registration with physics constraints, and applications of deep learning in medical imaging. His work spans both theoretical foundations of image processing and practical clinical applications. Darkner previously held a Post Doc position at the Technical University of Denmark from February 2009 to January 2010, demonstrating his longstanding engagement with image analysis research in the Danish academic community.

Tobias Langlotzمشاهده پروفایل

استاد

• Visual Computing
• Augmented Reality
• Virtual Reality
• +۲ مورد دیگر

Tobias Langlotz is a Professor at the Department of Computer Science, Aarhus University. His primary research focuses on Visual Computing, Augmented Reality, Virtual Reality, Human-Computer Interaction, and Augmented Human applications. He explores advanced vision augmentations and wearable technologies to enhance human perception and interaction with digital environments. His recent work emphasizes understanding visual discomfort in augmented reality systems, developing novel display technologies for mixed reality, and refining presence measurement methodologies in virtual environments. Key contributions include studies on presence questionnaires, neural rendering techniques, and hybrid layered displays. No scientific awards are explicitly listed in the provided materials. His research publications primarily address technical challenges in AR/VR systems and human-centric design principles. No advising or grant information is available in the current text. His work contributes to both academic and applied aspects of augmented and virtual reality technologies.

Ole Madsenمشاهده پروفایل

استاد

• Robotics
• Automation
• Industry 4.0
• +۶ مورد دیگر

Ole Madsen is a Professor at the Department of Materials and Production within The Faculty of Engineering and Science at Aalborg University . His research focuses on Robotics and Automation , particularly in 5G Smart Production , AI for Manufacturing , and Industry 4.0 applications. He also holds a part-time position at Adding Robotics , applying his expertise in robot integration for industrial and healthcare settings. Research Interests : Robotics, Automation, AI, Sensor Systems, Modular Manufacturing, Welding Technology, Digital Twins, Human-Centered Robotics, Industry 4.0 His work spans 35+ years with over 205 publications , emphasizing smart production systems and robot-assisted processes . Key contributions include Swarm Production Architectures , 5G-Enabled Robotics , and Human-Robot Collaboration frameworks. He has supervised 10 PhD students and led major projects like RAU (Robot-Assisted Ultrasound) and GINP: Robotics & AI Innovation Network . Scientific Awards : SCAP2020 Best Presentation Award (2020) Ole's 31 projects include AP2030: Aseptic Factory 2030 (pharma production), AddSmart (robotics R&D), and 5G-Enabled Autonomous Systems . His 127 press/media mentions highlight advancements in robotic welding , industrial metaverse , and swarm production . He maintains an ORCID: 0000-0003-2133-2541 with extensive publication records across Swarm Robotics , Modular Manufacturing , and AI-Driven Production .

Agnieszka Radziwonمشاهده پروفایل

دانشیار

• Open Innovation
• Innovation Management
• Business Ecosystems
• +۵ مورد دیگر

Agnieszka Radziwon is an Associate Professor at the Department of Business and Sustainability, University of Southern Denmark, specializing in Open Innovation, SME ecosystems, and digital transformation. Her research explores interorganizational collaboration, blockchain applications, and sustainable innovation. Current external position: Research Fellow at University of California, Berkeley Key projects: EU-funded EINST4INE (2020-2024) Active in 32 professional activities including conferences, workshops, and doctoral consortiums Her work focuses on: Open Innovation in SMEs and regional ecosystems Blockchain technology in governance and voting systems Smart factories and manufacturing collaboration Responsible digital transformation for societal impact Scientific honors include the FESTO Prize for Young Researchers and Scientists (2013) . Recent publications address blockchain stigma, collaborative innovation in wind energy, predictive tools for technology ecosystems, and rural-urban food procurement cooperation.

• Machine Learning
• Information Retrieval
• Medical Data Analysis
• +۳ مورد دیگر

Ingemar Johansson Cox serves as a Professor within the Machine Learning section at the Department of Computer Science, University of Copenhagen. His research bridges theoretical machine learning foundations with practical applications across medical data analysis, information retrieval, remote sensing, and sustainability initiatives. His research portfolio emphasizes machine learning applications in high-impact domains, particularly medical data analysis (e.g., early detection of gynecological malignancy using online search activity) and sustainability (e.g., reducing AI's carbon footprint). The Machine Learning section actively contributes to the university's SCIENCE AI Centre, focusing on both algorithmic innovation and real-world problem-solving in biological modeling and environmental monitoring. Recent publication trends reveal expanding work in quantum computing applications for biomolecular modeling, sustainable AI frameworks, and cross-cultural NLP systems. His 2024-2025 output demonstrates strong interdisciplinary collaboration, especially in medical informatics and climate-related AI research. Professor Cox operates within the Department of Computer Science's robust research ecosystem, which includes dedicated compute clusters and specialized initiatives like TreeSense for global tree resource monitoring through remote sensing and deep learning. The department's infrastructure supports large-scale machine learning projects requiring significant computational resources.

Chris Bevanمشاهده پروفایل

عضو هیئت علمی

• Virtual Reality
• Artificial Intelligence
• Social Robotics
• +۴ مورد دیگر

Chris Bevan is an Honorary Research Fellow in the Department of Psychology at the University of Bath and currently teaches immersive technologies at the University of Bristol's School of Computer Science as part of the Bristol Interaction Group. He holds a PhD in Human-Computer Interaction (HCI) from the University of Bath, focusing on pervasive computing and trust in urban systems. His research spans virtual reality (VR), artificial intelligence (AI), social robotics, cybersecurity, and ancient history applications. He leads projects such as the Virtual Reality Oracle (VRO), exploring ancient divination through VR, and collaborates with institutions like Charisma.AI, Kilter Theatre, and the CREATE Laboratory. Key projects include AI in Antiquity (2025-2026), examining AI’s role in engaging with ancient history, and VRDocs (2017-2020), analyzing VR nonfiction media. His work often bridges academia, industry, and the arts, emphasizing ethical considerations and cross-disciplinary innovation. Notable awards include Honorable Mention Awards (2021, 2020) and a Best Paper Award (2016). Bevan’s research explores themes like attention synchrony in 360° video (2020), AI-driven museum interaction (2025), and the ethics of conscious AI in games (2024). He has pioneered location-based services (e.g., Mobile Bristol ) and contributed to foundational studies on trust in Wi-Fi hotspots (2008). His current projects address immersive documentary ethics, telepresence robotics, and VR’s societal impact.

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +۳ مورد دیگر

Barbara Plank is a Professor and Chair for AI and Computational Linguistics at LMU Munich , where she leads the Munich AI and NLP (MaiNLP) Lab within the Center for Information and Language Processing (CIS) . She also serves as a Visiting Full Professor at the IT University of Copenhagen . Her research focuses on natural language processing under real-world constraints, including domain adaptation, continual learning, and multimodal learning. Current Projects: ERC Consolidator DIALECT Project KLIMA-MEMES Project Her recent work investigates annotation bias , self-consistency in language models , and trustworthy model evaluation . She has delivered keynotes at major conferences like ACL, EMNLP, and CLEF, emphasizing human-centric approaches to NLP. Scientific Awards: ACL 2024 Area Chair Award Barbara actively contributes to the academic community as VP-Elect for the Association for Computational Linguistics (ACL) and through teaching roles in MSc/BSc Computational Linguistics programs.

Henning Tangen Søgaardمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Agricultural Engineering
• Control Systems
• +۴ مورد دیگر

Henning Tangen Søgaard is an Associate Professor at the Department of Mechanical and Production Engineering, part of AU Engineering at Aarhus University. He teaches mathematics, numerical methods, and mathematical statistics to BEng students. His research focuses on robotics in agriculture , dynamic modeling , and precision agriculture . Primary Affiliation: Department of Mechanical and Production Engineering, AU Engineering, Aarhus University Research Expertise: Computer vision, control systems for agricultural robotics, environmental modeling (ammonia emissions, spray drift), and wireless sensor networks. His work includes developing autonomous systems for weed control, GPS-based geo-referencing of crops, and mathematical models for fertilizer-related emissions. Publications span peer-reviewed journals and reports in agricultural engineering , robotics , and environmental science . Scientific awards are not mentioned in the provided text. He has no listed PhD students but has collaborated on multiple projects. For direct contact, his email is hts@mpe.au.dk .

Niels Aageمشاهده پروفایل

دانشیار

• Topology Optimization
• Acoustics and Vibroacoustics
• Biomechanics
• +۵ مورد دیگر

Niels Aage is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on topology optimization, biomechanics, and multiphysics modeling, with applications in acoustic devices, biomedical implants, and microelectromechanical systems (MEMS). He holds roles such as Vice President of the International Society for Structural and Multidisciplinary Optimization (2023–2027). Education and Professional Background: Conducted a 5-month research visit at the University of Colorado, Boulder (USA) in 2010. Specializes in giga-scale numerical modeling, finite element methods, and topology optimization algorithms. Research Interests: Develops novel methods for topology optimization of fluidic, thermal, and acoustic systems. Explores applications in patient-specific spinal implants, metamaterials with vibroacoustic bandgaps, and nonlinear dynamic substructuring. His work integrates machine learning and reduced-order modeling for efficient simulation. Publications: Over 100 peer-reviewed articles, including recent contributions on connectivity promotion in topology optimization (2025), vibroacoustic metamaterial design (2025), and anatomically conforming spinal fusion cages (2024). Research emphasizes high-resolution modeling and bridging computational design with additive manufacturing. Scientific Awards: ISSMO Haftka Young Investigator Award (2021), Equinor Prize 2020, and Hyperion Innovation Excellence Award (2017). Recognized for contributions to structural optimization and computational mechanics. Advising and Grants: Supervises multiple PhD projects, including work on vibroacoustic shape optimization, quantum-opto-mechanical systems, and smart hearing aid modeling. Engages in collaborative projects funded by industry and academia. Labs/Teams: Collaborates with DTU’s Solid Mechanics group and industry partners on projects involving topology optimization, multiphysics simulation, and biomedical engineering. Active in international conferences and serves on editorial boards.

• Artificial Intelligence
• Medical Imaging
• Machine Learning
• +۳ مورد دیگر

Anna Anikina is a PhD Fellow at the Department of Computer Science (DIKU), University of Copenhagen, affiliated with the Image Analysis, Computational Modelling and Geometry section. Her research focuses on applying artificial intelligence and machine learning to analyze eye-tracking data for predicting radiological diagnostic errors. Current position: PhD Fellow in Image Analysis and Computational Modelling University: University of Copenhagen Department: Image Analysis, Computational Modelling and Geometry Anna’s work spans Medical Imaging , Eye Tracking , and Transformers for diagnostic error prediction, as well as Latent-Space Modelling in reinforcement learning systems. Her recent publications highlight applications of Graph Neural Networks and Multi-Agent Systems to biomedical image analysis and visual data processing. Her research outputs include four peer-reviewed publications (2023–2025) addressing radiological decision errors through gaze analysis and advanced machine learning architectures. Collaborations with researchers like B. Ibragimov, C. Mello-Thoms, and others demonstrate her focus on AI-driven healthcare solutions.

• Machine Learning
• Quantum Computing
• Medical Data Analysis
• +۴ مورد دیگر

Jonas Vinther is a Research Fellow at the Department of Computer Science , University of Copenhagen, specializing in Machine Learning and its intersections with quantum computing, medical data analysis, and sustainability. He is also an external PhD student in the Quantum Information Science & Technology program at the Niels Bohr Institute. Email: jonas.vinther@nbi.ku.dk , jonas.vinther@di.ku.dk Location: Universitetsparken 1, 2100 København Ø His research spans quantum machine learning , AI ethics , medical imaging , and environmentally sustainable AI , with recent publications on topics ranging from quantum neural networks to fairness in recommender systems . He contributes to the SCIENCE AI Centre and collaborates on initiatives like TreeSense for global tree resource monitoring.

• Mathematical Image Analysis
• Differential Geometry
• Variational Methods
• +۷ مورد دیگر

Francois Lauze is an Associate Professor at the Department of Computer Science , University of Copenhagen, affiliated with the Image Analysis, Computational Modelling and Geometry research group. His work bridges mathematical rigor and practical applications in image processing and shape analysis. Research Focus: Mathematical Image Analysis (variational/PDE methods) Differential and Riemannian geometry for shape statistics Applications: image inpainting, motion estimation, segmentation, medical imaging Contact: Email: francois@di.ku.dk Phone: +4535335671, +4521553933 Location: Universitetsparken 1, 2100 Copenhagen Ø Recent publications highlight advancements in SE(3) group CNNs for diffusion imaging, locally orderless networks for efficient processing, and refractive multi-view stereo techniques. His work integrates geometric modeling with computational implementations, emphasizing medical and video applications.