جست‌وجوی استاد و پژوهشگر

• Professional Responsibility
• Literacy Coaching
• Sociomaterial Perspectives
• +۳ مورد دیگر

Karina Kiær is a Guest Researcher at the Department of Mathematics and Computer Science within the Faculty of Science at the University of Southern Denmark. She is affiliated with the Learning, Experience and Design (LxD) group, focusing on interdisciplinary research at the intersection of education, technology, and organizational dynamics. Her research explores: Professional responsibility in educational coaching Sociomaterial perspectives on literacy instruction Decision-making processes in teacher development Collaborative action plans for educational quality Technological fluidity in workplace routines Kiær's recent publications examine how material practices and social structures interact in professional learning environments, with applications in both primary/secondary education and workplace technology studies. She contributes to academic discourse through peer-reviewed publications in education and technology journals, particularly focusing on Scandinavian school systems and ethical teaching practices.

Munir Eberhardt Hiabuمشاهده پروفایل

دانشیار

• Interpretable Machine Learning
• Nonparametric Statistics
• Statistical Machine Learning Methods
• +۷ مورد دیگر

Munir Eberhardt Hiabu is an Associate Professor of Data Science and Actuarial Mathematics at the Department of Mathematical Sciences, University of Copenhagen. His research focuses on interpretable machine learning, nonparametric statistics, and statistical methods for high-dimensional data, particularly in risk quantification and visualization. University: University of Copenhagen Department: Mathematical Sciences Academic Rank: Associate Professor Email: mh@math.ku.dk Research Interests : Hiabu develops statistical machine learning techniques to exploit low-dimensional structures in high-dimensional data for enhanced prediction accuracy and interpretability. His work bridges actuarial mathematics, survival analysis, and additive models, with applications in non-life insurance reserving and fairness in insurance pricing. Scientific Awards : Not documented in the provided text. Advisory Opportunities : PhD and postdoc positions are available through annual calls. Prospective students must apply via institutional portals mentioning his name.

Sebastian Weichwaldمشاهده پروفایل

دانشیار

• Causal Modelling
• Machine Learning
• Structural Equation Models
• +۳ مورد دیگر

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

Euan Lindsayمشاهده پروفایل

استاد

• Engineering Education
• Problem-Based Learning
• Artificial Intelligence in Education
• +۴ مورد دیگر

Euan Lindsay serves as Professor in the Department of Sustainability and Planning within Aalborg University's Technical Faculty of IT and Design. He maintains dual institutional affiliations through the Aalborg Center for Problem Based Learning in Engineering Science and Sustainability and the AI for the People Institute for Advanced Study in PBL. His work bridges sustainability planning with cutting-edge educational technology applications. Research interests center on Engineering Education and Problem-Based Learning methodologies, with significant recent focus on Generative AI applications in educational contexts. Current projects explore digital twins for feedback systems, large language model implementations for course evaluations, and microcredential frameworks supporting sustainable engineering education. His scholarship demonstrates consistent evolution from traditional engineering pedagogy toward AI-integrated learning ecosystems. Analysis of recent publications reveals three dominant trajectories: (1) Ethical implementation of generative AI in educational feedback systems, (2) Institutional change management for academic innovation, and (3) Microcredential development for sustainable engineering competencies. The Digital Twins project funded by The Villum Foundation represents his most significant current research initiative. Lindsay actively contributes to educational innovation through ongoing projects including the Digital Twins for Abundant Feedback initiative (2024-2025). His publication record shows sustained output with 85+ publications through 2025, demonstrating continuous scholarly engagement. While no formal awards are documented in the source material, his leadership in major research projects indicates significant professional recognition within engineering education circles. As principal investigator on multiple large-scale projects, Lindsay directs research teams developing novel AI applications for educational feedback systems. His work through the Aalborg Center for Problem Based Learning establishes him as a key figure in sustainability-focused engineering education reform, particularly in Scandinavian and European contexts.

Subburaj Karupppasamyمشاهده پروفایل

دانشیار

• Biomechanics
• Medical Device Design
• Computational Modeling
• +۵ مورد دیگر

Subburaj Karupppasamy is an Associate Professor at Aarhus University's Department of Mechanical and Production Engineering, leading interdisciplinary research focused on medical device design, biomechanics, and computational modeling for aging-related musculoskeletal disorders including osteoarthritis, osteoporosis, and scoliosis. His work integrates engineering methodologies with clinical applications to develop diagnostic tools and treatment systems. Research interests span biomechanics, medical device innovation, diagnostics, computational modeling, and AI-driven design tools. His team employs medical imaging, 3D geometric analysis, finite element modeling, and mechanobiology principles to address bone and spine health challenges, emphasizing translational outcomes through industry and clinical collaborations. Publication trends reveal a dominant focus on computational biomechanics for vertebral fracture prediction, with significant contributions to finite element analysis optimization, medical device manufacturing, and design cognition studies. Recent works also explore VR/AR/MR systems for medical training and additive manufacturing of fabrics, demonstrating cross-disciplinary applications. Scientific Awards: No specific awards, fellowships, or medals listed in source text He actively supervises PhD candidates as evidenced by his participation in the Foundational Course in PhD Supervision (November 2023) and membership on PhD examination boards. His research has generated 4 patents and 2 technology transfers but grant details remain unmentioned. The team operates within Aarhus University Engineering facilities, utilizing medical imaging, finite element simulation, and AI tools for musculoskeletal health research. Collaborations with clinical institutions and industry partners drive their mission to translate engineering solutions into practical healthcare technologies for improving quality of life in chronic conditions.

Lars Erik Bräunerمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Structural Mechanics
• Production Engineering
• +۳ مورد دیگر

Lars Erik Bräuner is an Associate Professor at the Department of Mechanical and Production Engineering Design and Manufacturing , part of AU Engineering at Aarhus University . His academic work spans mechanical engineering, physics, and biomedical applications, with a focus on structural analysis and accelerator technology. Research interests include: Mechanical behavior of vacuum chambers in synchrotrons Biomedical device stress modeling (e.g., TAVI valves) High-temperature superconducting magnet systems Computational and experimental structural mechanics Advanced manufacturing techniques Accelerator component design Key publications (2009-2023) demonstrate interdisciplinary expertise bridging mechanical engineering with high-energy physics applications. Notable collaborations include projects like InnoVacc: Pressure Testing of Vacuum Chambers for Particle Accelerators and conduction-cooled superconducting dipole magnets. Contact: lb@mpe.au.dk | Telephone: +45 41 89 31 83

Peter Johansenمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Machine Learning in Healthcare
• Cardiovascular Medicine
• +۳ مورد دیگر

Peter Johansen is an Associate Professor at the Department of Electrical and Computer Engineering and Biomedical Engineering at Aarhus University. His research focuses on the intersection of biomedical engineering and cardiovascular medicine, particularly in developing innovative medical devices and computational models for cardiac interventions. His work spans Aortic annuloplasty techniques Stent-based heart valve repairs Fluid dynamics in mock circulatory systems Machine learning for seizure detection using ECG data . Recent projects include a 2016-2019 study on fracture mechanics of bioprosthetic heart valves. Peter collaborates on interdisciplinary studies, often involving 3D printing, computational modeling, and in vivo animal models to validate novel treatments and devices.

Kristian J. Sundمشاهده پروفایل

استاد

• Business Model Innovation
• Managerial and Organizational Cognition
• Strategic Decision-Making Under Uncertainty
• +۴ مورد دیگر

Kristian J. Sund is a Professor at Roskilde University's Department of Social Sciences and Business. His research focuses on business model innovation, managerial and organizational cognition, and strategic decision-making under uncertainty. He is affiliated with the Risk, Uncertainty, and Opportunity (RUNOP) research group. Education: Licence en sciences économiques, Master of Arts in Society, Science & Technology, Postgraduate Certificate in Higher Education, Docteur en sciences économiques (PhD) in Management Research Areas: Business Model Innovation, Managerial Cognition, Sustainable Entrepreneurship, Strategic Management Recent Collaborations: Johannes Kabderian Dreyer (Associate Professor, Management and Organization), Slobodan Kacanski (Associate Professor, RUNOP) External Collaborations: Maynooth University, University of Southern Denmark, University of Chinese Academy of Sciences, Alliance Manchester Business School

Søren Peder Madsenمشاهده پروفایل

دانشیار

• Numerical Optimization
• Topology Optimization
• Micromagnetics
• +۷ مورد دیگر

Søren Peder Madsen is an Associate Professor at the Department of Mechanical and Production Engineering, Mechanics and Materials section, at Aarhus University. His research focuses on numerical optimization, micromagnetics, and computational methods for electromagnetism and photonics. Recent work explores photon upconversion for solar energy applications using gold nanostructures and core/shell nanocrystals , alongside hexaferrite magnetism and resonant optical gratings . These studies often employ finite element methods and topology optimization. Selected Keywords: Materials Science, Photonics, Optimization, Magnetism, Plasmonics, Quantum Dots Contact: sma@mpe.au.dk | +45 41 89 31 78

Narguess Nematiمشاهده پروفایل

استادیار

• Mechanical Engineering
• Materials Science
• Tribology
• +۴ مورد دیگر

Narguess Nemati is a Tenure Track Assistant Professor at Aarhus University, affiliated with the Department of Mechanical and Production Engineering Mechanics and Materials. Her research focuses on advanced materials characterization, thermal load effects on nuclear-grade tungsten, tribological performance of polymer-metal interfaces, and novel coating technologies for extreme environments. Recent research trends include: Computational modeling of dendritic growth in additive manufacturing alloys Multi-nanolayer coating systems for wear-resistant surfaces Thermal-mechanical behavior of materials under extreme conditions Development of sacrificial protection systems for nuclear reactors Surface engineering for industrial applications Professional activities include: Design and fabrication of ultra-durable multi-nanolayer coatings (2021 lecture) Collaborative research through Aarhus University's laboratories and workshops

Liliana Roman Perssonمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Production Engineering
• Materials Science
• +۳ مورد دیگر

Liliana Roman Persson is an Associate Professor at Aarhus University's AU Engineering college, affiliated with the Department of Mechanical and Production Engineering under the Mechanics and Materials section. Her work focuses on mechanical engineering, materials science, and production technologies. Email: lipe@mpe.au.dk Phone: +45 93 51 77 94 Office: Building 5126, room 245, Katrinebjergvej 89F, Aarhus N, Denmark Her research interests span engineering design, manufacturing processes, and structural mechanics, aligning with the department's emphasis on mechanical systems and material properties. As a faculty member, she contributes to academic programs and research initiatives in mechanical production engineering.

Souhayl Sadikمشاهده پروفایل

استادیار

• Nonlinear Elasticity
• Kirigami Mechanics
• Continuum Mechanics
• +۵ مورد دیگر

Souhayl Sadik is a Tenure Track Assistant Professor at the Department of Mechanical and Production Engineering Mechanics and Materials, Aarhus University's College of Engineering. His research focuses on nonlinear elasticity, geometric mechanics, and kirigami-based material design. Recent publications address topics like hyper-anelasticity, kirigami mechanics, and geometric theories of morphoelastic shells. His work combines differential geometry with continuum mechanics to analyze complex material deformations and thermoelastic accretion processes. Key research trends include Development of geometric frameworks for nonlinear elasticity Kirigami-inspired design of stretchable and patterned materials Tensor field analysis on deformable surfaces Thermoelastic accretion modeling He leads the ECK: Elasto Capillary-Kirigami (ECK) Test Setup (2020-2021), exploring mechanical behavior of materials with creases and eigenstrains. Contact: sosa@mpe.au.dk | Phone: +45 93 52 26 53

Jan H. Mikkelsenمشاهده پروفایل

دانشیار

• Antennas and Propagation
• RF Systems
• Microwave Engineering
• +۷ مورد دیگر

Jan H. Mikkelsen is an Associate Professor at Aalborg University's Department of Electronic Systems, part of the Technical Faculty of IT and Design. His research focuses on antennas, propagation, millimeter-wave systems, RF sensors, and biomedical engineering applications such as bone fracture monitoring. He has contributed to projects like the MARS2 satellite service system and the SOFT transceiver initiative, emphasizing software-defined radio and satellite communication. Key technical areas include power amplifiers, UWB technologies, RFID systems for cryogenic environments, and adaptive antenna designs using liquid metal. His work bridges theoretical research with practical applications, addressing challenges in mixed-signal circuit design, noise suppression, and 5G systems. Research interests span from fundamental material characterization (e.g., ferromagnetic resonance in hexaferrite crystals) to applied technologies like wearable Bluetooth earbud optimization and cryogenic RFID systems. His projects often involve collaboration with industry and government grants, such as the Danish Council for Independent Research. He has published extensively on topics ranging from spin-wave RF applications to biomedical impedance measurement techniques, reflecting his interdisciplinary expertise in RF engineering and biomedical systems. Notable contributions include reconfigurable Yagi-Uda antennas using liquid metal and advancements in nonlinear amplifier characterization. Despite no listed awards, his work has been cited in fields like wireless sensor networks and satellite communication. He advises on projects involving UWB localization and has a lab focus on antenna design and millimeter-wave systems.

Annemarie Østergaardمشاهده پروفایل

مدرس پاره‌وقت

• Entrepreneurship
• Psychology
• Human Capital
• +۶ مورد دیگر

Annemarie Østergaard is a Part-time Lecturer at Aalborg University's Department of Culture and Learning within The Faculty of Social Sciences and Humanities. She specializes in interdisciplinary research at the intersection of entrepreneurship, psychology, and education. Her work emphasizes entrepreneurship education, problem-based learning (PBL), and the psychological underpinnings of entrepreneurial behavior. Institution: Aalborg University Role: Part-time Lecturer Key Affiliations: Department of Culture and Learning Research Interests: Entrepreneurial personality traits and leadership Human capital dynamics in innovation ecosystems Integration of PBL and entrepreneurship education Social psychology of self-employment Notable Projects: 2018-2019: 'PBL og Entreprenørskab' - developed cross-disciplinary frameworks for fostering entrepreneurial competencies university-wide 2021-2023: 'Problembaseret Læring (PBL) på Suldrup Skole' - pilot project on PBL methodologies in schools Media Engagement: Regular contributor to Danish media discussions on entrepreneurship challenges faced by self-employed individuals and policy implications for SMEs.

Szymon Gresمشاهده پروفایل

پژوهشگر

• Modal Analysis
• Structural Health Monitoring
• Control Systems
• +۳ مورد دیگر

Szymon Gres is a Post.Doc researcher in the Department of Electronic Systems at Aalborg University's The Technical Faculty of IT and Design. He is affiliated with the Automation & Control section and the Learning and Decisions Lab. His research focuses on modal analysis, structural health monitoring, control systems, and cybersecurity in industrial systems. Gres has received awards including the DFF International Postdoc (2021) and an Industrial PhD grant (2016). His work spans fault diagnosis in wind turbines, neural network applications for environmental perturbation normalization, and Kalman filter advancements in virtual sensing. Collaborations include visits to Inria (France) and engagements in structural health monitoring seminars. Key research interests include modal parameter tracking under environmental changes, uncertainty quantification in mechanical systems, and cyber-physical security for wind energy infrastructure. His activities include organizing guest lectures and participating in international conferences like the IEEE Industry Applications Society Annual Meeting and the International Operational Modal Analysis Conference (IOMAC).