جست‌وجوی استاد و پژوهشگر

Henrik Schiølerمشاهده پروفایل

دانشیار

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Control Systems
• +۴ مورد دیگر

Henrik Schiøler is an Associate Professor at the Department of Electronic Systems, Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on robotics, unmanned aerial vehicles (UAVs), control systems, and embedded software systems. He leads the Learning and Decisions Lab and contributes to the AI for the People initiative and the CISS Center for Embedded Software Systems. Key projects include Industry 4.0 digital technologies, UAV safety (BVLOS FastTrack), and global air traffic optimization (GATOSS). His work spans predictive manufacturing models, fault-tolerant control systems, and statistical methodologies for cosmological hypotheses. Research interests: Robotics, UAV navigation, control systems, embedded systems, predictive analytics, multiverse theory. Recent projects (2015–2021): Digital tech for Industry 4.0, UAV collision avoidance, satellite-based air traffic surveillance. Awards: Best Paper Award (2015). He supervises PhD students in advanced control systems and manufacturing optimization. Collaborates internationally on UAV applications and AI-driven industrial solutions.

Tatiana Chemiمشاهده پروفایل

دانشیار

• Creative Learning
• Arts Education
• Educators
• +۵ مورد دیگر

Tatiana Chemi is an Associate Professor in the Department of Culture and Learning at Aalborg University, Faculty of Social Sciences and Humanities. Her work focuses on creative learning, arts education, and pedagogical innovation through performative and embodied practices. She leads the Collaborative Organizational Learning (CO-LEARN) group and contributes to the Children and Youth Research Network. Her research interests include artistic learning processes, drama/theatre pedagogy, and optimal learning environments. She has pioneered concepts like 'creative ensembles' and 'pedagogy of love/freedom', emphasizing collaborative, embodied, and emotionally attuned educational practices. Key projects: TCK Lab (Thinking, Creating, Knowing), Odin Teatrets pædagogik, and Artists, Creativity and Learning Publications span 190+ works including Learning in a Writing Laboratory and Teaching Creatively in Higher Education Awards: Carlsberg Grant (2022), Teacher of the Year (2021), Writer of the Year (2013) Chemi's work intersects performance studies, educational theory, and arts integration. Her recent focus explores death pedagogy via autoethnography and critical-creative methods in military and corporate leadership training.

Tung Kieuمشاهده پروفایل

استادیار

• Data Science
• Time Series Analysis
• Forecasting
• +۴ مورد دیگر

Tung Kieu is a Tenure Track Assistant Professor in the Department of Computer Science at Aalborg University (Denmark), affiliated with The Technical Faculty of IT and Design and the Daisy Center for Data-intensive Systems. His research focuses on data engineering, time series analysis, anomaly detection, and machine learning applications in traffic forecasting and smart systems. Education: Ph.D. in Computer Science (Awarded May 2021). Research interests include time series forecasting, traffic modeling, robust autoencoder architectures for anomaly detection, and spatio-temporal data analysis. His work contributes to UN Sustainable Development Goals related to smart cities and infrastructure. Recent publications explore bias mitigation in text-video retrieval (BiMa), topology-aware traffic forecasting (TEAM), and stochastic routing in uncertain road networks. His frameworks emphasize lightweight algorithms (LightTS), causal relational learning, and continual calibration for quantized models (QCore). Collaborations involve international teams in data management and AI, with notable work on ensemble methods, explainable AI, and transfer learning in smart building systems.

Mikkel Højlundمشاهده پروفایل

دانشیار

• Psychiatry
• Psychopharmacology
• Antipsychotic drugs
• +۵ مورد دیگر

Mikkel Højlund is an Associate Professor of Psychiatry and Psychopharmacology at the University of Southern Denmark (SDU), affiliated with the Department of Regional Health Research. He also serves as a medical doctor at the Department of Psychiatry Aabenraa under the Mental Health Services in the Region of Southern Denmark. His research focuses on observational data analysis from electronic health records and meta-analytical techniques to study psychiatric disorders and psychotropic drug use, particularly the efficacy and safety of antipsychotics across psychiatric spectra. He holds an MD (2018) and PhD (2022) from SDU. Education: PhD, University of Southern Denmark (2022); MD, University of Southern Denmark (2018). Research Interests: Psychopharmacology, pharmacoepidemiology, antipsychotic drug safety, cardiometabolic risk, schizophrenia, and systematic review methods. His work emphasizes real-world drug utilization patterns, off-label prescribing, and translational research linking clinical practice to population-level outcomes. Key Contributions: Pioneered studies on low-dose quetiapine's cardiovascular risks, antipsychotic polypharmacy reduction strategies, and pediatric antipsychotic use. His research has influenced clinical guidelines and regulatory policies in mental health pharmacotherapy. Grants/Projects : MAPP: Monitoring arrhythmias in antipsychotic-treated patients (2020–2026) Pharmacoepidemiology of low-dose antipsychotics (2019–2022) Awards : Stanley A. Edlavitch Award (2021) Årets juniorforsker (2021) Labs/Teams: Collaborates with the Research Unit of Mental Health Services Aabenraa and international networks on global psychopharmacology initiatives.

Johnny Jakobsenمشاهده پروفایل

دانشیار

• Composite Materials
• Wind Turbine Engineering
• Structural Mechanics
• +۳ مورد دیگر

Johnny Jakobsen is an Associate Professor in the Department of Materials and Production at Aalborg University's Faculty of Engineering and Science. His research focuses on composite materials, wind turbine engineering, and structural mechanics, with a particular emphasis on failure phenomena in advanced composites and sandwich structures. He has contributed to projects addressing localized effects in sandwich components, automated composite manufacturing, and fatigue analysis. His work spans theoretical modeling, experimental validation, and industrial applications, including collaborations on optimizing draping processes for wind turbine blades and developing novel reinforcement methods for composite components. Jakobsen has authored or co-authored over 70 publications since 2005, with recent contributions focusing on automated manufacturing, composite reinforcement strategies, and material characterization under complex loading conditions. Notable projects include the Integrated Design and Processing of Lightweight Composite and Sandwich Structures and studies on peel stopper designs for sandwich beams. His research has been supported by industry partnerships and has led to patents, such as the Method of Manufacturing a Fibre Reinforced Composite Component . Jakobsen also serves on academic review committees and has been featured in media for contributions to structural engineering advancements.

• Offshore Robotics
• Marine Engineering
• Carbon Capture and Storage
• +۳ مورد دیگر

Simon Pedersen is an Associate Professor and Head of the Esbjerg Energy Section at Aalborg University's Faculty of Engineering and Science. His research focuses on offshore robotics, marine engineering, carbon capture technologies, and autonomous underwater systems. He leads projects like NextGen Robotics for offshore wind farm maintenance and CarbonAdapt for CO2 storage infrastructure adaptation. Pedersen holds a PhD in Control Engineering from AAU (2016), an M.Sc. in Intelligent Reliable Systems (2013), and a B.Sc. in Electronics and Computer Engineering (2011). Research Interests: Offshore drones, underwater vehicle navigation, robotics control, carbon capture and storage (CCS), and sustainable energy systems. His work addresses UN SDGs related to clean energy and marine environmental protection. Key Projects: Automatic replantation of large-scale eelgrass (2025–2028) NextGen Robotics for underwater inspection (2023–2025) CarbonAdapt: CO2 storage infrastructure adaptation (2022–2025) Publications: Over 80 papers in journals like Journal of Cleaner Production and Carbon Capture Science & Technology , focusing on robotics, CO2 transportation, and energy systems. Recent work includes frameworks for CO2 impurity monitoring and slip prevention in underwater robotics. Awards: Won the Innovation Project of the Year (2024) for contributions to robotics and subsea infrastructure. Advising: Supervises PhD candidates including Kenneth Simonsen (carbon storage) and Esben Uth (autonomous drones). Active in grants totaling millions from Innovation Fund Denmark. Labs/Teams: Leads the Esbjerg Energy Section’s robotics and marine systems teams, collaborating on projects like offshore crawler robots and subsea inspection systems.

Petar Durdevicمشاهده پروفایل

دانشیار

• Reinforcement Learning
• Deep Learning
• Wastewater Treatment
• +۳ مورد دیگر

Petar Durdevic is an Associate Professor at Aalborg University's Faculty of Engineering and Science, within the Energy Section. His research focuses on Reinforcement Learning, Deep Learning, Robotics, and Environmental Engineering, particularly in wastewater treatment optimization and offshore energy systems. He leads projects like OPTIMIZE (Deep Reinforcement Learning for microbial fermentation) and AITEKS (AI-driven tech support). Durdevic collaborates with the Offshore Drones and Robotics and AI for the People teams, addressing challenges in energy technology and sustainable systems. His research interests include predictive control for wastewater treatment, autonomous robotics for pipeline inspection, and AI applications in environmental monitoring. Notable contributions include developing grey-box models for N2O emissions and amphibious quad-rotor systems for infrastructure inspection. Durdevic has supervised one PhD student, Lars D. Hansen, and secured grants from the Novo Nordisk Foundation and Innovation Fund Denmark. Key achievements include advancing fiber rope technology for wind turbines and publishing extensively on topics like deep reinforcement learning, synthetic data generation, and environmental control systems. His work bridges robotics, AI, and environmental science, with applications in offshore energy and sustainable wastewater management. PhD Supervision: Lars D. Hansen (Deep Learning Model Predictive Control for N2O Emission Reduction) Labs/Teams: Offshore Drones and Robotics, AI for the People, BLUE – Marine & Maritime Research Grants: OPTIMIZE (Novo Nordisk Foundation, 2024–2028), AITEKS (Innovation Fund Denmark, 2024–2025)

Jakob Gulddahl Rasmussenمشاهده پروفایل

دانشیار

• Statistics
• Spatial Statistics
• Point Processes
• +۴ مورد دیگر

Jakob Gulddahl Rasmussen is an Associate Professor at the Department of Mathematical Sciences, Aalborg University, within The Faculty of Engineering and Science. His research focuses on spatial statistics, point processes, and statistical modeling with applications in electrical engineering and network analysis. He is actively involved in projects related to smart distribution grids, semiconductor layout design, and problem-based learning methodologies. Research Projects: Data Analytics in Smart Distribution Grids (2024–2028) Statistics-Based Layout Design Tool for Paralleled Semiconductors (2020–2022) PBL og matematik: Hvordan kan PBL fungere på universitetets grundfag? (2018–2019) Point process on linear networks (2013–2018) Research Interests: Statistical modeling of complex systems Applications of point processes in engineering Network analysis and stochastic processes Integration of PBL in university-level mathematics education His recent publications highlight advancements in anomaly detection in power grids, statistical network modeling, and pedagogical innovations in STEM education.

Jannie Sønderkær Nielsenمشاهده پروفایل

دانشیار

• Risk Management
• Offshore Wind Energy
• Structural Health Monitoring
• +۳ مورد دیگر

Jannie Sønderkær Nielsen is an Associate Professor at the Department of the Built Environment within the Faculty of Engineering and Science at Aalborg University. Her research focuses on risk-based decision making for offshore wind energy infrastructure, structural health monitoring, and probabilistic design methodologies. She leads the Risk, Resilience, Safety, and Sustainability of Systems Research Group and collaborates with the AI for the People initiative and Danish Centre for Risk and Safety Management. Educated at Aalborg University, she earned her PhD in 2013 with a thesis on Risikobaseret drift og vedligehold for havvindmøller (Risk-based operation and maintenance of offshore wind turbines). Her work integrates Bayesian networks, Markov decision processes, and advanced statistical methods to optimize inspection, maintenance, and operational strategies for offshore energy systems. Key research interests include probabilistic load analysis, life extension of wind turbine components, and quantifying the value of structural health monitoring. Her projects address challenges in submarine landslide hazards for offshore energy infrastructure and resilience assessment frameworks. Notable awards include Teacher of the Year at Aalborg University (2024) and multiple faculty-level teaching awards. She supervises PhD research in offshore engineering and has authored over 55 peer-reviewed publications across journals like Structural Safety and Energies . Her research activities span 14 funded projects including the PRO-SLIDE initiative for probabilistic decision frameworks addressing submarine landslide risks. She actively collaborates with industry partners on O&M optimization and participates in international initiatives like IEA Wind Task 42.

• Architecture and Spatial Planning
• Architectural Theory
• Human-Centered Design
• +۷ مورد دیگر

Tenna Doktor Olsen Tvedebrink is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology, within The Technical Faculty of IT and Design. Her work focuses on integrating design-engineering principles with architectural thinking, emphasizing human-centered methodologies, narrative approaches, and social sustainability. She holds a hybrid background in architecture, civil engineering, food science, and sensory studies. Key research interests include body-environment relationships, user experiences, and the application of tools like user journey mapping and storytelling in design processes. She has led projects such as 'Inclusive Cities and Urban Wellbeing' and 'FEED EUROPE', and coordinates the CREATE Integrated Architecture research group. Notable awards include the Ejnar Packness Fonden (2010) and Initiativprisen (2009). Tenna has contributed to over 65 publications, with recent work exploring heritage repurposing, child-centric urban design, and the ethics of architectural conservation. Her teaching roles include former Head of Studyboard for Architecture and Urban Design programs, emphasizing problem-based learning and interdisciplinary collaboration.

• Power Electronics Reliability
• EMI/EMC
• Capacitor Aging
• +۲ مورد دیگر

Huai Wang is Professor at Aalborg University's AAU Energy section, specializing in reliability and EMI/EMC of power electronic systems. His research develops physics-informed methods for condition monitoring and lifetime prediction of power components. Current projects include CAPeX (accelerated materials discovery for power-to-X) and TEAMING (predictive maintenance for electric powertrains). He has received multiple IEEE prize paper awards and leads international collaborations on power electronics reliability.

Morten Grud Rasmussenمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• Energy Engineering
• Power Systems
• +۳ مورد دیگر

Morten Grud Rasmussen is an Associate Professor at the Department of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. His research spans renewable energy systems, mathematics education, and problem-based learning (PBL). He has contributed to projects like 'myPBL-VRMath: Micro-PBL in Mathematics using Virtual Reality' (2024-2025) and 'PBL og matematik: Hvordan kan PBL fungere på universitetets grundfag?' (2018-2019). His work emphasizes integrating VR for abstract mathematics teaching and optimizing renewable energy systems. Collaborations include projects on near-optimal solutions for highly renewable energy systems and pedagogical innovations in engineering education. Research interests include energy system flexibility, socio-economic analysis of renewables, and PBL methodology. He has published on topics ranging from solar power generation to interdisciplinary curriculum design. His recent work explores student experiences with VR-based learning and PBL contextualization in mathematics education. Notable contributions include modeling renewable energy alternatives and exploring storage synergies in pan-European grids. He actively participates in educational workshops and collaborates with institutions like the University of Agder, Norway.

Peter Frigaardمشاهده پروفایل

دانشیار

• Coastal Engineering
• Wave Energy Conversion
• Hydraulic Structures
• +۳ مورد دیگر

Peter Frigaard is an Associate Professor at the Department of the Built Environment, Aalborg University, affiliated with the Faculty of Engineering and Science. His research focuses on coastal engineering, wave energy conversion, and hydraulic structures. He is a key member of the Ocean and Coastal Engineering Research Group. Education details are not explicitly listed, but his academic contributions span over 30 years with 318 publications and 58 research projects. Notable projects include the AquaBuOY wave energy converter and studies on coastal protection systems. Research interests include wave dynamics, physical modeling, offshore wind turbine foundations, and renewable energy systems. His work combines experimental methods with numerical simulations to address challenges in energy harvesting and coastal resilience. Recent articles emphasize wave separation methods, directional spectrum estimation, and 3D model testing of wind turbine foundations. Media engagements highlight his expertise in coastal erosion solutions and wave energy technology. He has advised 5 PhD students and actively participates in international conferences like the European Wave and Tidal Energy Conference. His lab, the Ocean and Coastal Engineering Research Group, collaborates globally on coastal protection and renewable energy projects.

Henrik Skov Midtibyمشاهده پروفایل

دانشیار

• Robotics
• Computer Vision
• Precision Agriculture
• +۴ مورد دیگر

Henrik Skov Midtiby is an Associate Professor at the University of Southern Denmark's Maersk Mc-Kinney Moller Institute and affiliated with the SDU Climate Cluster and SDU UAS Center. His research focuses on robotics, computer vision, precision agriculture, and marine biology, with applications in UAV technology, environmental monitoring, and autonomous systems. He has led projects such as PotBot (autonomous plant transportation) and LEARNING (climate change interactions), and contributed to studies on harbor porpoise behavior and weed management algorithms. Education: PhD from the Maersk Mc-Kinney Moller Institute. Extensive teaching experience in robotics and computer vision courses for unmanned aerial systems (UAS). Research Interests: Unmanned Aerial Vehicles (UAVs), environmental sensing, machine learning for agricultural automation, marine mammal tracking, and energy-efficient robotic systems. Key projects include drone-based crop monitoring, autonomous navigation algorithms, and bioacoustic studies of marine life. Grants & Collaborations: Project manager for Præcisionsfrøavl (precision seedling) and PotBot. Collaborates with institutions on climate change impacts and marine conservation. Active in workshops like 'Teaching for Active Learning.' Labs/Teams: SDU UAS Center for drone research; SDU Climate Cluster for environmental studies. Involves students in projects combining robotics, AI, and ecological applications.

Edward Abelمشاهده پروفایل

دانشیار

• Computer Science
• Data Science
• Ethics in AI
• +۵ مورد دیگر

Edward Abel is an Associate Professor in the Department of Design, Media and Educational Science at the University of Southern Denmark. His research focuses on computational approaches to decision-making, fairness, and explainability in AI systems, particularly in how these systems influence human choices. He explores technical algorithm design alongside ethical implications, emphasizing transparency and accountability. Abel holds a PhD in Computer Science and participates in external roles such as the Steering Committee of the eXplainable Artificial Intelligence Hub. Education : PhD in Computer Science His research interests span computational decision-making systems, recommender systems, and the intersection of computer science with humanities disciplines. He investigates how AI can be designed to align with user needs while addressing equity and interpretability challenges. Notable contributions include studies on fairness in pandemic policy decisions and the development of the VADA architecture for data wrangling. Abel’s work often bridges technical innovation with critical social inquiry, aiming to ensure AI systems are both effective and ethically robust. His recent projects include analyzing UK COVID-19 restrictions through dominance-based rough sets analysis and exploring diversity in music recommendation systems. He collaborates extensively with interdisciplinary teams and has published over 30 peer-reviewed articles. His datasets, such as the UK COVID-19 restriction dataset, are widely referenced in academic research and policy discussions.