جستجوی استاد راهنمای دانشگاهی

Søren Munch Kristiansen is an Associate Professor in the Department of Geoscience at Aarhus University, Faculty of Natural Sciences. His interdisciplinary research bridges geoscience and archaeology, focusing on the complex interactions between soil, water, and human societies across time. He is actively engaged in transdisciplinary projects involving geoarchaeology, groundwater, and public health. Research Interests: His work centers on how soil and groundwater have shaped human prehistory and continue to influence modern life. Key areas include safe drinking water from a lifelong perspective, geoarchaeological prospection, Viking Age settlements, and the application of geophysical and geochemical methods in archaeological contexts. He is particularly interested in novel, interdisciplinary methodologies. Recent Research Trends: His recent publications reveal a strong focus on integrating geophysical data (e.g., GPR, borehole databases) with archaeological interpretation, especially in 3D urban modeling and landscape change. Themes include Viking Age sites, interglacial deposits, and anthropogenic soil modifications. His work increasingly employs machine learning and large-scale data synthesis. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: While specific students are not listed, he leads and participates in multiple funded research projects, indicating an active supervisory role. His grants span from 2016 to 2024, including projects like TITAN, SAGA, and 'Fingerprinting displaced molecular substances,' highlighting sustained funding and leadership in interdisciplinary geoscience-archaeology research. Labs and Teams: He is involved in collaborative networks such as the Soil Science & Archaeo-geophysics Alliance (SAGA), suggesting leadership in interdisciplinary research teams. His work often involves multi-proxy analyses and international collaborations, particularly in Scandinavian archaeological geophysics.

• Geoarchaeology
• Soil Science
• Groundwater
• +۷ مورد دیگر

Mark Bo Jensen is an Assistant Professor (tenure track) at the Department of Engineering Technology and Didactics, Technical University of Denmark (DTU), specializing in Energy Technology and Computer Science. His research is centered on Perception Engineering and Extended Reality technologies, particularly Virtual Reality (VR), with applications in human cognition, computer graphics, and scientific visualization. His research interests lie at the intersection of engineering and cognitive sciences, focusing on creating immersive and convincing extended reality experiences. Jensen applies his over 10 years of expertise in real-time computer graphics to advance VR systems for perception modeling, geometric data visualization, and material appearance simulation. His work contributes to fields such as medical diagnostics, 3D annotation, and photorealistic rendering. The recent publications highlight a strong trend in leveraging VR for scientific tasks, such as anatomical landmark annotation and visual field testing, as well as advancing core graphics techniques like meshlet optimization and diffusion-based stereo image generation. His research integrates computer vision, graphics algorithms, and human-centered design. While no scientific awards are currently listed, his active participation in research projects and consistent publication output indicate a growing academic profile. He has contributed to interdisciplinary collaborations involving medical, biological, and engineering domains. Jensen has been involved in advising and research projects, including serving as a PhD student in the 'Virtual Reality-Based Visualization of Geometric Data' project and currently as a project participant in 'AL-EYE: The Visual Aid'. These projects reflect his focus on applied VR solutions and data understanding. His work is conducted within the Energy Technology and Computer Science division at DTU, where he contributes to advancing perception-driven technologies and their practical implementation in scientific and medical contexts.

• Perception Engineering
• Extended Reality
• Virtual Reality
• +۷ مورد دیگر

Jeppe Revall Frisvad is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), within the Visual Computing group. His work bridges computer graphics, material science, and applied optics, focusing on realistic rendering and material appearance modeling. Ph.D. in Computer Graphics, DTU Informatics (2008) M.Sc. in Engineering (Applied Mathematics), DTU (2004) Education in University Teaching, LearningLab DTU (2008–2009) His research centers on computing material appearance from physical and chemical properties, developing faster and more accurate physically based rendering methods. Key areas include light scattering, bidirectional reflectance distribution functions (BRDF), anisotropy, and translucency modeling. Applications span computer games, movies, digital prototyping, architectural visualization, and training simulators. His recent publications (2024–2025) reflect a strong trend in digitizing material appearance, especially for 3D printing and food science, using spectrophotometry and optical validation. The work combines computer graphics with interdisciplinary applications in food structure and biological imaging, emphasizing measurement, modeling, and simulation. Scientific Awards: Research travel prize from AEG Elektronfonden (2006) IGDA scholarship for GDCE 2005 DTU Ph.D. scholarship (2004) He actively supervises Ph.D. students and leads multiple research projects, including those on organ-on-chip imaging, cheese quality analysis, and optical modeling of teeth. He collaborates across disciplines and institutions, with external research stays at UC San Diego and the University of Otago. He is involved in projects integrating AI with 3D imaging and material digitization. Jeppe is a key member of the Visual Computing research environment at DTU, contributing to both fundamental rendering algorithms and practical applications in industry and science.

• Computer Graphics
• Digital Image Synthesis
• Realistic Rendering
• +۷ مورد دیگر

Mark Bo Jensen is an Assistant Professor (Tenure track) at the Department of Engineering Technology and Didactics, Energy Technology and Computer Science at the Technical University of Denmark (DTU). His work bridges engineering and cognitive sciences through the emerging field of Perception Engineering. His research focuses on Extended Reality (XR) and Virtual Reality (VR) technologies to model and understand human perception and cognition. With over 10 years of expertise in real-time computer graphics, he develops immersive systems for applications in data visualization, medical testing, and geometric morphometrics. His recent publications highlight a strong trend in leveraging VR for precise human interaction tasks, such as anatomical landmark annotation and visual field testing, as well as advancing rendering techniques using diffusion models and mesh optimization. This reflects a multidisciplinary approach combining computer science, perception, and real-world applications. He has contributed to multiple research projects, including AL-EYE: The Visual Aid and Virtual Reality-Based Visualization of Geometric Data, where he served both as a PhD student and a project participant. These projects emphasize VR-based tools for data understanding and visualization. Assistant Professor (Tenure track), DTU PhD in Virtual Reality-Based Visualization of Geometric Data, completed June 2023 Project participant in AL-EYE: The Visual Aid (2025) While no formal advisees are listed, his role as a faculty member suggests future student supervision. He has collaborated extensively with researchers such as Jeppe R. Frisvad, Jakob Andreas Bærentzen, and Vedrana A. Dahl.

• Perception Engineering
• Extended Reality
• Virtual Reality
• +۷ مورد دیگر

Ruben Pauwels is an Associate Professor in the Department of Dentistry and Oral Health at Aarhus University, Denmark. As the strategic research coordinator of the 'Intelligent Systems' research theme, his work focuses on integrating artificial intelligence (AI) and deep learning into clinical workflows, particularly in medical imaging, radiation protection, and dental data science. His research spans applications like image enhancement, automated segmentation, lesion detection, and risk assessment for treatment planning, with a strong emphasis on cone-beam computed tomography (CBCT) and medical physics in dentistry. His educational background includes a PhD and MSc, and he actively contributes to interdisciplinary research involving multiple departments. Teaching activities align with his expertise, covering digital workflows and novel technologies in dental practice. Key research areas include biomedical image processing, machine learning in odontology, and biophysics. He has authored 118 publications, with recent work focusing on AI-driven medical imaging solutions and radiation protection standards. Notable contributions include the European consensus on patient contact shielding and organ-specific deep learning models for radiation dose calculation. Received awards such as the Bagger-Sørensen Young Researcher Award (2024) and ECMP Best Radiation Protection Presentation (2022). Active in professional networks: EMRA, EFOMP, and ITU/WHO/WIPO initiatives on AI in healthcare. Supervised students like B. N. de Freitas and R. J. Gonçalves da Motta in projects involving digital twin technology and mandibular canal labeling.

• Artificial Intelligence
• Medical Physics
• Radiation Protection
• +۴ مورد دیگر

Lisbet Tarp is an Associate Professor in Art History at the School of Communication and Culture, Aarhus University. Her academic work bridges traditional art historical scholarship with digital methodologies and interdisciplinary research, particularly in the fields of painting, materiality, and conservation. She is actively engaged in several high-impact research projects exploring the intersections of art, science, and technology. Research Interests: Digital Art History and computational analysis of paintings Materiality and technique in historical and contemporary painting Conservation science and hidden layers in artworks Mathematics and geometry in visual art Early modern court culture and ceremonial representation Interdisciplinary practices between art and anatomy Her recent publications reflect a strong trend toward integrating digital tools into art historical inquiry, with a focus on uncovering the material and technical dimensions of paintings. Projects such as Digital Art History: Rediscovering the Painting and ANAT: Anatomical Theater demonstrate her innovative approach to visual culture through scientific and digital lenses. Her work often involves collaborative, peer-reviewed publications and digital dissemination. Scientific Projects & Activities: ANAT: Anatomical Theater (2023–2029) – Investigating dissection as aesthetic practice in early modern and contemporary contexts Digital Art History: Rediscovering the Painting (2019–2022) – Using digital methods to analyze painting techniques and material composition MoCMa: Mobility Creates Masters (2017–2019) – Studying transnational influences in European art LUMEN Center (2015–2025) – Researching Lutheran theology and its impact on confessional societies and visual culture Lisbet Tarp has contributed extensively to academic discourse through peer-reviewed journals, anthologies, and digital publications. While no formal students or awards are listed, her leadership in major research initiatives underscores her scholarly influence. She employs digital platforms for both research and pedagogy, including student-organized seminars and open-access digital versions of her work.

• Digital Art History
• Materiality in Art
• Painting
• +۷ مورد دیگر

Ming Shen is an Associate Professor at the Department of Electronic Systems, part of The Technical Faculty of IT and Design at Aalborg University. His research focuses on antennas, millimeter-wave systems, and AI-driven RF sensors with applications in 5G/6G communications, biomedical engineering, and smart systems. His research interests span antenna design (including phased arrays, metamaterials, and compact structures), AI integration in electromagnetic systems, and medical sensor technologies. Recent projects include drone-based electromagnetic signature analysis, vibration energy harvesting for pacemakers, and smart healthcare systems for posture recognition and surgical site infection monitoring. Key projects include DRONES: Drone-Obtained Electromagnetic Signatures (2024–2028), Sensor Intelligence for Healthcare and Sports (2022–2027), and DeepBone (2021–2022), which explored deep learning for surgical infection detection. His work also bridges machine learning and electromagnetic design, with breakthroughs in surrogate modeling and automated antenna optimization. Ming Shen has supervised 6 PhD students and published over 160 peer-reviewed articles. Notable contributions include AI-assisted NLOS sensing, ultra-wideband antenna innovations, and medical applications such as electrical impedance-based bone healing assessment.

• Antenna Engineering
• 6G/5G Communications
• Metamaterials
• +۶ مورد دیگر

Nicolai Jørgensgaard Graakjær is a Professor in Music and Sound in Marketing Communication at the Department of Communication and Psychology, Faculty of Social Sciences and Humanities, Aalborg University, Denmark. He leads the Mediated Communication section and was previously head of the MÆRKK research group (2010–2022). His work spans musicology, sound studies, social psychology, and media/communication science, focusing on how sound shapes human thought, emotion, and behavior in commercial and social contexts. His research interests include: Music and sound in advertising and retail Sonic branding of products and services (e.g., cars, food) Sound in sports environments (football stadiums, athletic events) Multimodal emergence and audience perception Environmental sound design and sustainability perception Collective identity formation through sonic experiences The most recent publications (2023–2026) reflect a strong trend in the psychological and cultural impact of sound in marketing and media. Themes include electric vehicle sound design, sonic logos, urban soundmarking, and the role of music in televised sports. These works span disciplines such as environmental psychology, branding, media studies, and sociolinguistics, demonstrating a consistent interdisciplinary approach. The sub-fields emphasize sensory marketing, auditory perception, emotional resonance, and multimodal integration. Nicolai Graakjær has no listed scientific awards in the provided text. He has supervised at least one PhD student and is actively involved in research grants and projects, including: Sound Branding – A literature review (2012–2019) Lydbranding (2011–2019) Innovationsnetværket for Market, Communication and Consumption (2011–2013) Æstetik i markedskommunikation (2010–2019) Undersøgelse af multimodal emergens (2010–2019) These projects were supported by research councils and industry collaborations, focusing on aesthetic meaning-making, sensory branding, and audience experimentation. He is associated with the MÆRKK research group and the Mediated Communication section at Aalborg University, where he contributes to interdisciplinary research on sound, media, and human behavior. His activities include organizing and participating in conferences, peer reviewing manuscripts, serving on editorial boards, and engaging in public discourse through press and media appearances.

• Music and Sound in Marketing Communication
• Sound Studies
• Musicology
• +۷ مورد دیگر

Andreas Møgelmose is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology under the Technical Faculty of IT and Design. His research focuses on computer vision, artificial intelligence, and their applications in autonomous systems, driver assistance, and industrial vision. He leads projects like AI Color Fashion and Real-world adaption of generative AI for architecture. Møgelmose teaches introductory programming, computer vision, and advanced master's courses, emphasizing practical project-based learning. His work includes developing datasets such as the Multi-view Traffic Intersection Dataset (MTID) and exploring vision-language models for autonomous vehicle safety. He actively engages in media discussions on AI ethics and societal impacts. Research interests span dynamic gesture interpretation for cooperative autonomous vehicles, surgical skill assessment via automated metrics, and multimodal classification of environmental data. He has contributed to over 50 publications, including work on 3D object detection frameworks and generative AI education. Møgelmose collaborates on projects funded by industry partners like COWI and Danish government initiatives. His teaching philosophy centers on blended learning and practical application, fostering innovation in AI and computer vision education. Notable projects include AI:Xpertise Lab (2025–present), which explores AI-driven expertise systems, and collaborations on forest biodiversity analysis using LiDAR and orthophotos. His recent media engagements highlight societal AI challenges, emphasizing responsible implementation in public sectors.

• Computer Vision
• Artificial Intelligence
• Autonomous Systems
• +۳ مورد دیگر

Elizabeth Heather Jakobsen Neilson is an Associate Professor in the Department of Plant and Environmental Sciences at the University of Copenhagen's Faculty of Science. She leads the Plant Ecophysiology Research Group, which focuses on understanding molecular regulation, integration and evolution of plant general and specialized metabolic pathways. Her work provides fundamental knowledge for applications in environmental, agricultural and biotechnological platforms through utilization of comprehensive 'omics' approaches. Dr. Neilson earned her PhD from the University of Melbourne in 2013 with research on cyanogenic glucoside synthesis in Eucalyptus, followed by postdoctoral work at both Copenhagen University and Monash University. Her educational background includes a 2006 Honours in Science (Masters Equivalent) in Plant Physiology. Plant specialized metabolism and environmental interactions Molecular regulation of plant defense systems Abiotic stress responses in plants High-throughput phenotyping technologies Plant-animal interactions in ecological contexts Tree and crop biology applications Targeted metabolomics (GC-MS, LC-MS, MS imaging) Her publication record demonstrates consistent focus on plant metabolic pathways, with recent work exploring evolutionary aspects of specialized metabolism across diverse plant species. The research spans from molecular studies of enzymes like flavin containing monooxygenases (FMOs) and cytochromes P450 to ecosystem-level investigations of plant interactions in tundra and forest environments. Scientific Awards and Recognition DFF Sapere Aude (FTP) grant for SuperYUCCA project (2022-2026) DFF Project 1 (Inge Lehmann) grant for YUCCApro (2022-2024) Novo Nordisk Emerging Investigator award (2019-2024) Villum Young Investigator grant (2016-2021) Danish Council for Independent Research grant (2016-2021) Carlsberg Foundation Postdoctoral Fellowship (2014-2016) Sapere Aude Research Talent award (2016) Dr. Neilson actively mentors graduate students and postdoctoral researchers, with current group members including Cecilie Cetti Hansen (Postdoc), Joachim Møller Christensen (PhD), and Ingvild Ryde (PhD). Her research program is supported by multiple concurrent grants totaling several million DKK, demonstrating strong research productivity and external funding success. She maintains significant international collaborations with institutions including University of Queensland, Virginia Tech, and Monash University. The Plant Ecophysiology Research Group operates as a dynamic team utilizing phenomics, metabolomics, proteomics and transcriptomics to investigate plant-environment interactions. Current research directions include YUCCA multifunctionality for crop resistance, plant FMO optimization, and specialized metabolite pathways in diverse plant species from ferns to Eucalyptus.

• Plant Ecophysiology
• Specialized Metabolism
• General Metabolism
• +۱۰ مورد دیگر

Mikkel Bek Clausen is an Associate Professor at the Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Denmark. His work focuses on musculoskeletal health, implementation science, and exercise-based interventions for shoulder pain and related disorders. He collaborates with clinicians, researchers, and healthcare practitioners to advance patient-centered care. Key Research Areas: Shoulder pain management, subacromial pain syndrome, self-management strategies, behavioral change, digital health tools. Methodological Expertise: Systematic reviews, qualitative studies, clinical trials, reliability assessments. Email: mikkelbc@hst.aau.dk

• Musculoskeletal Health
• Shoulder Pain
• Physical Therapy
• +۴ مورد دیگر

Anne Sofie Mosborg Aggestrup is a Lecturer at the Department of Public Health , University of Copenhagen , with her research based in the Section of General Practice . She is currently pursuing a PhD through an intersectoral collaboration between Mental Health Services Glostrup , University of Copenhagen , and regional healthcare entities. Her research focuses on developing and evaluating complex health interventions for depression relapse prevention via intersectoral collaboration between psychiatry and primary care. She utilizes co-creation methods involving patients, professionals, and job centers, with specific interests in collaborative care models chronobiology in mental health patient involvement healthcare organization Her recent publications explore dynamic LED lighting , electronic self-monitoring , and transition care models for depression, alongside multimorbidity research in post-cancer patients. Though no formal awards are listed, she has received research funding from multiple Danish foundations. She teaches Early Patient Contact to medical students and coordinates clinical trials in hospital psychiatry.

• Development and evaluation of complex health interventions
• Mental health and depression relapse prevention
• Co-created research
• +۳ مورد دیگر

Professor J. Andreas Bærentzen is an Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), where he has held academic positions since 2001. His research focuses on computer graphics, shape modeling, real-time rendering, and geometry processing. He holds a MSc Eng (1998) and PhD (2003) from DTU. His work emphasizes topological adaptability in shape representation and efficient geometry processing, with notable contributions to structural topology optimization, 3D reconstruction, and virtual reality applications. Education: MSc Eng, Technical University of Denmark, 1991–1998 PhD, Technical University of Denmark, 1998–2003 Research Interests: Interactive 3D modeling and real-time graphics Topology optimization and structural infill design Shape modeling using distance fields and deformable hypersurfaces Applications in biomedical imaging (e.g., white matter dynamics) and environmental engineering (e.g., tree geometry simulation) His recent publications highlight advancements in neural network-based shape representation, skeletonization for tree reconstruction, and inverse-designed structural infill for engineering. He supervises multiple PhD students and leads projects on robotic manufacturing and virtual reality visualization. Bærentzen collaborates internationally, including visits to Stony Brook University (USA) and Padova University (Italy). Advisees & Projects: PhD Students: Rui Cui, Thomas D. V. Christiansen, Elias Theil Gæde Key Projects: 'Generative Methods for Brain Tissue Phantoms', 'Neural Form Representation', 'Graph Algorithms with Geometric Applications' His work bridges theoretical geometry processing with practical applications in architecture, biomedical engineering, and environmental science, leveraging DTU's interdisciplinary research ecosystem.

• Computer Graphics
• Shape Modelling
• Real-Time Rendering
• +۵ مورد دیگر

Lahila Fanta Diaby is a PhD Fellow at the Department of Sustainability and Planning, Technical Faculty of IT and Design, Aalborg University, Denmark. She is also affiliated with the Danish Centre for Health Informatics and holds an external position as an Associate Lecturer at University College of Northern Denmark since August 2020. Her research focuses on critical aspects of diagnostic radiography, including clinical decision-making, radiographers' motivation to engage in research, and the integration of digital tools such as telepresence robots in healthcare. Her work combines qualitative methodologies, scoping reviews, and participatory design approaches. Recent publications highlight trends in evidence synthesis (scoping reviews) and qualitative exploration of professional motivation and technology use in healthcare. Her research contributes to improving clinical practices, supporting radiographers in research engagement, and enhancing patient communication through better technology design. Member, PLAN Junior Researchers Network (2023–present) Speaker at conference on usability testing of telehealth systems (2019) She has not received any scientific awards or fellowships as per available data. Her research is supported through her PhD project on clinical decision-support tools in diagnostic radiography, though specific grant details are not listed. Her work is closely tied to the Danish Centre for Health Informatics, where she contributes to research on digital health solutions, particularly in clinical and educational settings.

• Diagnostic Radiography
• Clinical Decision-Making
• Health Informatics
• +۷ مورد دیگر

Kristian Kidholm is a Professor at the University of Southern Denmark (SDU), affiliated with the Department of Clinical Research and the Centre for Innovative Medical Technology (CIMT) in Odense. He is also associated with the SDU Climate Cluster. His work bridges health economics, health technology assessment, and digital health innovation. His research interests include: Health economics and cost-benefit analysis Health technology assessment (HTA) Telemedicine and digital health solutions Artificial intelligence in healthcare Home monitoring and hospital-at-home models Patient self-care and empowerment His recent publications reflect a strong focus on evaluating digital health technologies, particularly AI in diagnostics, telerehabilitation, and decision support systems. The articles span methodologies such as randomized controlled trials, scoping reviews, and feasibility studies, indicating a multidisciplinary and applied research approach. Themes consistently revolve around improving healthcare efficiency, patient outcomes, and cost-effectiveness through innovation. Kristian Kidholm has contributed to significant projects like MAS-AI (assessment of AI value), PATINA (preventing hospital admissions), and digital transformation initiatives. He has taught courses on health technology assessment and patient involvement, and has supervised research work. His ORCID is 0000-0003-1037-6514, and he is active in public discourse through media contributions on digital health policy.

• Health Economics
• Cost-Benefit Analysis
• Cost-Effectiveness Analysis
• +۱۰ مورد دیگر