جستجوی استاد راهنمای دانشگاهی

Lasse Jakobsenمشاهده پروفایل

پژوهشگر

• Biomechanics
• Sports Science
• Occupational Safety
• +۴ مورد دیگر

Lasse Jakobsen is a postdoctoral researcher at Aalborg University's Department of Health Science and Technology, Faculty of Medicine, specializing in biomechanics , slip resistance testing , and occupational safety . His work spans sports technology , friction analysis , and exoskeleton implementation in logistics environments. Education : PhD in Mechanical Engineering (Elastomer Friction) from Technical University of Denmark (2020), MSc in Sports Technology from unspecified institution (2016) Research focuses on footwear-surface interactions , exoskeleton biomechanics , and preventing occupational accidents . Recent work includes slip resistance testing for cheese warehouses and exoskeleton trials in logistics. His publications (26 total) and datasets demonstrate expertise in friction modeling and workplace safety . Scientific awards include recognition in 2016 (MSc) and 2023 (unspecified). Collaborations with industry partners like Sika Footwear and academic institutions address practical safety challenges in industrial and sports contexts.

Andreas Møller Jørgensenمشاهده پروفایل

دانشیار

• Social Work
• Digitalization in Social Services
• Philosophy of Technology
• +۳ مورد دیگر

Andreas Møller Jørgensen is an Associate Professor at Aalborg University's Department of Sociology and Social Work, affiliated with the SCOPAS research unit (Shaping Concepts, Practice and Advances in Social Work) within The Faculty of Social Sciences and Humanities. His research merges philosophy of technology with theories of democracy, focusing on core concepts like time, space, care, justice, and equality in social work practices. He employs qualitative methods including ethnography, interviews, and document studies to explore how technological innovations reshape social work and how power relations evolve in digitalized welfare systems. Key projects include ROSA (Robot Technologies in Social Work), investigating AI integration; SOMESO (Social Media and Algorithms in Social Work), analyzing digital tools' impacts; and CARE (Exploring relational practices in child welfare). He co-edited the 2023 book *Plads til omsorg i socialt arbejde med børn og familier*, emphasizing care as central to social work with vulnerable families. His research highlights tensions between neoliberal welfare systems and humanistic care practices, particularly in pandemic contexts and automated decision-making. He frequently collaborates with international scholars and participates in conferences addressing digital social work and democratic innovations. Media engagements include analyses of Denmark's welfare digitalization and ethical challenges in algorithmic child protection systems.

Thomas Roger Hilberthمشاهده پروفایل

دانشیار

• Architecture
• War Architecture
• Security Architecture
• +۹ مورد دیگر

Thomas Roger Hilberth is an Associate Professor at the Aarhus School of Architecture , where he coordinates Research Lab 3: Emerging Sustainable Architecture and Teaching Program 2. With a PhD in architecture (2007) and a diploma from ETH Zurich (1998), his career spans academic roles, architectural practice, and humanitarian projects. Academic Staff, Aarhus School of Architecture Research Focus: War architecture, security architecture, sustainability, and India-specific design Co-founded Hilberth & Jørgensen Architects (2016–present) Research interests include the intersection of architecture with security dynamics, sustainable practices, and cultural/historical contexts. His work explores territorialization theories through philosophers like Deleuze and Foucault, with applications in post-earthquake reconstruction (e.g., Gujarat, India) and climate emergency responses. Scientific contributions span 17 publications, including peer-reviewed works on transparent solar cells (2008), security architecture (PhD thesis, 2007), and a 2021 book chapter on sustainable architectural pedagogy. Recent outputs (2013–2021) address global urban challenges, cross-cultural design, and editorial projects like the Architectural Guide of Jordan (2016). Awards : SIA membership (1998), Swiss Steel Construction Prize (1996) Education : PhD (2007), Dipl. Arch. ETH (1998), Eidgenössische Matura (1993) Humanitarian Work : 2001 earthquake project with Vastu Shilpa Foundation, Ahmedabad As a supervisor , he mentored students in sustainable architecture and contextual design. His research lab integrates technological innovation with cultural habitation studies, emphasizing mutual learning in foreign contexts (e.g., Studio Mumbai, 2017).

Rentian Zhuمشاهده پروفایل

پژوهشگر ارشد

• Labor Economics
• Innovation
• Data Science
• +۷ مورد دیگر

Rentian Zhu is a PhD Fellow in Economics at the Copenhagen Business School , specializing in Labor Economics and Innovation. They hold an MSc in Advanced Economics and Finance and a BBA in Economics. Education MSc in Advanced Economics and Finance, Copenhagen Business School BBA in Economics, The Chinese University of Hong Kong Technical Skills Python Stata R Rentian's research focuses on the digitalization of the Danish economy , analyzing its impact on jobs, firms, and households through economic modeling and data science methods like text classification and deep learning. Their work bridges traditional economic analysis with modern computational techniques to address complex socioeconomic challenges. Research Experience includes positions at Copenhagen Business School and Statistics Denmark. No scientific awards, students, or lab affiliations were explicitly mentioned in the provided text.

Dario Parigiمشاهده پروفایل

دانشیار

• Structural Engineering
• Sustainable Construction
• Timber Reuse
• +۵ مورد دیگر

Dario Parigi serves as Associate Professor, Head of Division, and Head of Research Group within the Department of the Built Environment at Aalborg University's Faculty of Engineering and Science. He leads the Sustainable Structures, Materials and Construction Research Group and maintains an active research profile with 43+ publications and 5 major projects including the active Instant Urbanism initiative. His work bridges structural engineering, sustainable design, and computational methodologies. Parigi's research spans timber reuse optimization , reciprocal structural systems , and multi-dimensional form-finding , with recent focus on carbon metrics for reused timber and kinetic adaptive facades. His fingerprint analysis reveals strong connections to Design Process (100%), Form Finding (83%), and Reciprocal Structures (64%), demonstrating consistent thematic focus across two decades of work. Analysis of his 15 most recent publications shows increasing emphasis on circular construction (2021-2022), with 60% addressing timber reuse challenges and optimization methodologies. Earlier works (2015-2018) established foundational frameworks for reciprocal structures and computational design tools, evolving toward integrated sustainability metrics in recent output. 5 million DKK research grant for timber reuse (2024) Det Obelske Familiefond funding for Utzon(x) Research-by-design Multiple media features in Danish press (2024) regarding sustainable construction research As Principal Investigator for projects like Lightweight structural elements and Skolernes Indeklima, Parigi secures significant research funding while mentoring junior researchers through 14 documented activities including conference presentations and workshop leadership. His Urban Tranquility project demonstrates interdisciplinary collaboration across environmental and structural domains. Parigi directs the Sustainable Structures, Materials and Construction Research Group where his team develops innovative approaches to structural reciprocity and material reuse. Current focus includes the Parigi Mechanism for adaptive facades and computational frameworks for minimal-waste timber layouts, with recent press coverage highlighting real-world applications of their research.

Morten Enggrob Simonsenمشاهده پروفایل

دانشیار

• Colloid Chemistry
• Materials Nanotechnology
• Environmental Engineering
• +۳ مورد دیگر

Morten Enggrob Simonsen is an Associate Professor at the Department of Chemistry and Bioscience, Aalborg University (AAU), Faculty of Engineering and Science in Esbjerg. His research focuses on materials science, environmental engineering, and sustainable technologies, particularly in areas like polymer recycling, cement-based materials, and corrosion protection. Education & Roles: While specific academic qualifications are not detailed, his extensive project leadership roles (e.g., PI in AAU Circular Plastics, PyroGreen, and SCBarrier projects) underscore his expertise in chemical engineering and material science. Research Interests: Key areas include: Development of novel materials for renewable energy systems (e.g., wave energy substructures) Chemical recycling of plastics and polymer waste valorization Enhancement of cement and concrete properties through nanotechnology Electrochemical deposition for corrosion protection Notable Projects (2023–2026): AAU Circular Plastics (2023–): Aims to develop circular solutions for plastic waste PyroGreen: Focuses on pyrolysis for green fuels and hydrogen production SCBarrier: Innovates cement-based materials for well abandonment in energy infrastructure Awards: Received the Esbjerg Universitetspris in 2005 for academic contributions. Labs/Teams: Collaborates with interdisciplinary teams on projects involving AAU Energy, Technical University of Denmark, and industry partners like Quantafuel. His work often integrates experimental and computational approaches to address challenges in sustainable energy and materials.

Evangelos Boukasمشاهده پروفایل

دانشیار

• Deep Learning
• Unmanned Aerial Vehicles
• Computer Vision
• +۵ مورد دیگر

Evangelos Boukas is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), Faculty of Engineering. His research focuses on autonomous robotic systems for marine vessel inspection, confined space navigation, and man overboard detection using UAVs and deep learning techniques. His core research interests include Deep Learning , Unmanned Aerial Vehicles , Computer Vision , and Robotics , applied to solve challenges in marine robotics and autonomous inspection. He develops uncertainty-aware navigation systems, probabilistic segmentation methods, and reinforcement learning frameworks for real-world deployment in complex environments. Recent publications demonstrate a strong trend toward GPU-accelerated deep learning for confined space inspection, with emphasis on uncertainty estimation, domain adaptation, and real-time processing. Key application areas include marine vessel classification, ballast tank inspection, and search-and-rescue operations, often leveraging multimodal sensor fusion. Dr. Boukas actively supervises five PhD students across major research projects: Probabilistic Deep Learning for Autonomous Aerial Inspection (2025-2028) Aerial Robots Design for Confined Spaces Inspection (2024-2027) Active Semantic Segmentation for Confined Spaces using Aerial Robots (2024-2027) Autonomous Aerial Robotics for Man Overboard Incidents (2023-2026) Visual and Multimodal Perception for Construction Robotics (2023-2026) He leads the "Perception and Cognition for Autonomous Systems" research group at DTU, which develops advanced perception algorithms for robots operating in challenging environments like ship ballast tanks and marine vessels, contributing to UN Sustainable Development Goals for industry innovation and marine conservation.

Stig Helvegمشاهده پروفایل

استاد

• Catalysis
• Surface Science
• Electron Microscopy
• +۷ مورد دیگر

Stig Helveg is a Professor and Director of the Danish National Research Foundation’s Center for Visualizing Catalytic Processes (VISION) at the Technical University of Denmark. He holds a PhD in Physics from Aarhus University (2000) and previously served as a Fellow at Topsoe A/S. His research focuses on atomic-resolution electron microscopy in catalysis and surface science, pioneering in situ and operando techniques under reaction conditions. His interdisciplinary work integrates electron microscopy with MEMS, chemical engineering, and materials science to study catalyst dynamics at the atomic level. Key achievements include the development of advanced TEM imaging methods, such as exit-wave reconstruction and high-resolution environmental TEM. His awards include the EliteForsk Prize (2018), MRS Innovation Award (2019), and Microscopy Society of America Fellowship (2021). He supervises multiple PhD students and leads projects on catalyst stability, CO 2 electrolysis, and nanoparticle dynamics. The VISION Center and Department of Physics provide his primary affiliations, with research spanning catalysis, nanomaterials, and quantum phenomena observed via electron microscopy. Recent articles highlight advancements in single-electron coherence, CO 2 electrolysis catalysts, and atomic-scale imaging of defects in CrSBr. His work bridges quantum mechanics with practical catalytic applications, emphasizing real-time observation of material behavior under reaction conditions.

Henning Friis Poulsenمشاهده پروفایل

استاد

• X-Ray Diffraction
• Materials Physics
• Crystallography
• +۴ مورد دیگر

Henning Friis Poulsen is a Professor and Section Leader at the Department of Physics, Materials Physics in Time and Space, Technical University of Denmark. He leads the Center 3D Imaging and focuses on advanced X-ray microscopy techniques, particularly dark-field X-ray microscopy and 3D imaging. His research explores microstructural dynamics, dislocation dynamics, and plastic deformation in materials, with applications in energy storage, planetary science, and biomedical imaging. His expertise spans X-ray diffraction, tomography, and computational modeling. Key research areas include dislocation identification, grain boundary analysis, and material characterization under extreme conditions. Collaborations involve institutions globally, addressing topics like Martian meteorites and semiconductor materials. Recent studies highlight advancements in 3D/4D imaging using free-electron lasers, dislocation-cell evolution, and multi-modal tomography for hydrous phases in meteorites. His work contributes to Sustainable Development Goals related to clean energy and planetary health. As a supervisor, he guides PhD students in projects on silicate dissolution, Martian meteorite analysis, and dislocation microscopy. His projects often combine experimental and computational approaches, emphasizing high-resolution structural characterization. Key facilities include the ESRF dark-field X-ray microscope and lab-based 3D diffraction systems. His lab focuses on developing novel imaging modalities to study materials at the microstructural scale, with implications for engineering and geoscience.

Ronja Güldenringمشاهده پروفایل

پژوهشگر

• Robotics
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Ronja Güldenring is a Postdoctoral Researcher (Researcher) in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), focusing on robotics, computer vision, and machine learning applications for agricultural and laboratory automation systems. She completed her Ph.D. in 2024 at DTU with the thesis "Perception for Precision Agriculture Robotics using Deep Learning". Her educational background centers on advanced robotics and computer vision methodologies. Her research spans: Robotics and Autonomous Systems for Agriculture Computer Vision (Foundation Models, Instance Segmentation) Machine Learning (Contrastive Learning, Multitask Learning) Precision Agriculture and Weed/Disease Detection Plant Phenotyping and Fine-grained Analysis Vision-based Robot Manipulation Recent publications (2024-2025) demonstrate strong emphasis on adapting foundation vision models (DINOv2) and knowledge distillation for agricultural robotics. Her work addresses weed/disease identification, plant part segmentation, and transparent object manipulation using multitask learning to enhance robustness in real-world agricultural environments. Scientific Awards: None mentioned in available sources. As lead PhD student (2020-2024) in "Machine Learning-based Weed Detection for Agricultural Robotics", she developed datasets (RumexLeaves, RumexWeeds) and collaborated internationally with supervisors including Nalpantidis, Boukas, and Ravn. Current work involves grant-funded projects on agricultural robotics and educational platform development. She is embedded in DTU's Perception and Cognition for Autonomous Systems research group, developing intelligent systems for agricultural robotics and laboratory automation with international collaborators.

Andreas Hougaard Laustsen-Kielمشاهده پروفایل

استاد

• Antivenom Development
• Antibody Engineering
• Snake Venom Toxicology
• +۲ مورد دیگر

Andreas Hougaard Laustsen-Kiel is Professor at DTU's Department of Biotechnology and Biomedicine, leading research in biologics engineering with focus on antibody technologies and recombinant antivenoms. His work bridges protein engineering, toxin neutralization, and diagnostic applications. Research themes include: Recombinant antivenom development Snake venom biochemistry Antibody engineering platforms Therapeutic protein design Diagnostic immunoassays Recent research advances include computational protein design for toxin neutralization, oral therapeutics for diarrheal diseases, and innovative diagnostic platforms. Publications demonstrate transdisciplinary approaches spanning structural biology, AI-assisted design, and translational applications. Research group activities include: PhD supervision on nanobody engineering and allergen characterization International collaborations on neglected tropical diseases Development of antibody-based solutions for human and animal health

Jeppe Kariمشاهده پروفایل

دانشیار

• Biophysical Chemistry
• Biocatalysis
• Enzyme Kinetics
• +۳ مورد دیگر

Jeppe Kari is an Associate Professor in the Department of Science and Environment Chemistry at Roskilde University. His research focuses on biophysical chemistry, particularly biocatalysis and interfacial enzyme kinetics. He aims to bridge inorganic heterogeneous catalysis and biocatalysis to advance heterogeneous biocatalysis as a field. His work emphasizes understanding enzyme behavior at solid-liquid interfaces and optimizing enzyme systems for industrial applications. Key research areas include enzymatic hydrolysis of cellulose, Sabatier principle applications, and computational methods for predicting enzyme activity. Collaborations span international institutions, as indicated by his network of external research partners. His publications highlight advancements in enzyme kinetics modeling, substrate interactions, and enzyme engineering. Notable contributions include studies on cellulase efficiency limitations, ITC analysis of polydisperse systems, and virtual bioprospecting of interfacial enzymes. Kari’s lab integrates computational and experimental approaches to address challenges in biocatalytic processes. Education: Holds an MSc and PhD in relevant fields (specific institutions not detailed in text). No awards or grants explicitly listed. Advises on projects related to cellulase optimization and enzyme kinetics. Maintains a research website at www.jeppekari.com .

Andrea Paudiceمشاهده پروفایل

استادیار

• Machine Learning
• Optimization
• Robust Learning
• +۳ مورد دیگر

Andrea Paudice is an Assistant Professor in the Department of Computer Science at Aarhus University. Their primary affiliation is with the Department of Computer Science, located at Åbogade 34, Building 5335, Room 317 in Aarhus N, Denmark. Paudice's research focuses on theoretical and algorithmic aspects of machine learning, optimization under uncertainty, adversarial robustness, and clustering methods. Research interests include developing robust statistical learning frameworks for heavy-tailed distributions, designing optimization algorithms with provable guarantees in stochastic settings, and exploring active learning strategies for efficient label usage. Recent work emphasizes high-probability bounds for stochastic methods, median-of-means techniques, and zeroth-order optimization under budget constraints. Publications span topics like adversarial noise mitigation, margin-based active learning, and exact cluster recovery via oracle queries. While no specific grants or awards are listed, their work demonstrates contributions to foundational machine learning theory and algorithmic robustness. No lab affiliations or student advising information is included in the provided text.

Christian Sivertsenمشاهده پروفایل

پژوهشگر

• Digital Art
• Interaction Design
• Art Mediation
• +۳ مورد دیگر

Christian Sivertsen is a Researcher at the IT University of Copenhagen, specializing in Data Science and Audio-Visual Computing. His work bridges digital aesthetics, interaction design, and art mediation, focusing on how technology shapes aesthetic experiences in art museums and AI-driven creative processes. He holds a PhD in Technology-based Mediation in the Art Museum (2024). Education: PhD in Technology-based Mediation (2024) His research interests include generative AI, embodied interaction, and the role of technology in art critique and museum visitor engagement. He has explored topics such as ambiguity in AI art, non-verbal mediation strategies, and reflexive use of generative AI systems. Recent projects include Technology-based Mediation in the Art Museum (2020–2023) and XTREME: Extended Reality Environment for Immersive Art and Music (2024–2026), funded by the Munch Museum and the European Commission. His work has been recognized with an Honourable Mention at DIS '23. Awards: Honourable Mention, DIS '23 (2023) He actively collaborates on projects blending academic research with applied design, such as developing immersive art experiences and critical frameworks for AI in creative contexts. His PhD thesis further explores technological mediation in museums, emphasizing visitor engagement through non-traditional methods.

Ira Assentمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Clustering Algorithms
• +۵ مورد دیگر

Professor Ira Assent is affiliated with the Department of Computer Science at Aarhus University. Their research focuses on machine learning, data mining, and visualization, with applications in climate science, medical informatics, and computer vision. Professor Assent leads projects such as Light-IoT (analytics on compressed IoT data), WallViz (interactive visualization for massive datasets), and eData (anomaly detection in e-science). Their work emphasizes scalable algorithms, explainable AI, and interdisciplinary applications. Recent publications address rainfall prediction using deep learning, entity summarization via knowledge graphs, and efficient clustering techniques. Projects like RainAI demonstrate contributions to weather modeling and satellite data analysis. Collaborative efforts span academic and industrial domains, with a strong emphasis on practical, user-centric solutions. Selected research contributions include advancements in density-based clustering (e.g., AnyDBC, DISCO), parallel algorithms optimized for GPUs (HUNIPU), and visualization frameworks (AVID). Their work bridges theoretical computer science with real-world challenges, such as improving decision-making through interactive visualizations and enhancing medical information retrieval systems. Ongoing projects aim to address computational efficiency in large-scale data analytics while maintaining interpretability. Key areas of innovation include explainable AI (e.g., InteDisUX), climate modeling (DROPP), and hardware-accelerated algorithms (GPU-FAST-PROCLUS). These efforts reflect a commitment to advancing both foundational methods and applied technologies that impact diverse fields from environmental science to healthcare.