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Helle Damgaard ZachoView profile

Clinical Professor

• Nuclear Medicine
• Prostate Cancer
• Ovarian Cancer
• +3 more

Helle Damgaard Zacho is a Clinical Professor at Aalborg University's Faculty of Health Sciences and Senior Physician at Aalborg University Hospital's Department of Clinical Physiology and Nuclear Medicine . Her work bridges clinical practice with advanced nuclear medicine research. Primary Affiliation: Aalborg University Hospital Academic Role: Clinical research and education at Faculty of Health Sciences Research Focus: PET/CT imaging for cancer diagnostics Zacho leads or co-leads multiple high-impact projects including FAPI/PSMA PET/CT studies for prostate, ovarian, and gastric cancers . Her fingerprint highlights expertise in: Prostate Cancer (100%) Positron Emission Tomography-Computed Tomography (84%) Bone Metastasis (50%) Gallium 68 applications (65%) Deep learning in radiology Cancer staging methodologies Her recent publications focus on optimizing FAPI and PSMA PET/CT for metastatic cancer detection, with active clinical trials in ovarian and prostate cancer diagnostics. While no formal awards are listed, her 147+ publications and 8 ongoing projects demonstrate substantial research output. Media coverage highlights her team's potential 'super-weapon' for cancer diagnostics (2023-2024), including national press attention for Denmark's best clinical trial 2025. She serves as a peer reviewer for journals like World Journal of Gastroenterology and participates in major urological cancer conferences.

Jette ErnstView profile

Associate Professor

• Digitalization and robotization in hospitals
• Professional identity and boundary constructions in healthcare
• Performance management and work monitoration
• +3 more

Jette Ernst is an Associate Professor at Roskilde University's Department of Social Sciences and Business, specializing in organizational sociology and management studies. Her research focuses on the social and cultural dimensions of organizational change, particularly in healthcare settings, addressing topics like digitalization, robotics, professional identity, and power dynamics. She holds a PhD and multiple advanced degrees in business and communication studies. Education: PhD, Cand.Negot, Master of Science in Business (Language and Culture with English specialization). Research interests emphasize how automation and organizational restructuring impact healthcare work, employee responses, and professional boundaries. She employs qualitative methods including ethnography and discourse analysis, drawing on Bourdieu's practice theory and framing theory. Key themes include robotization in hospitals, merger processes, and performance management. Notable projects include leading the Independent Research Fund Denmark-funded 'Robot technology in hospitals' (2023-2026) and Helsefonden's 'Human and robot exchanges in Danish hospitals' (2020-2022). Recent publications explore temporal strategies in automation and labor dynamics in automated healthcare systems. Awards: Best Developmental Paper Award (2024), EGOS 'That's Interesting' Award (2017), Emerald/EFMD Doctoral Research Award (2018) Teaching: Courses in organization theory, leadership, HRM, and research methodology Supervision: Active mentor for academic theses at all levels Labs/Teams: Crossroads of Care and Social Reproduction (CARE) research group

Ole MadsenView profile

Professor

• Robotics
• Automation
• Industry 4.0
• +6 more

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

Shuai ZhaoView profile

Assistant Professor

• Power Electronics
• Reliability Engineering
• Machine Learning
• +4 more

Shuai Zhao is an Assistant Professor at the AAU Energy Department, Faculty of Engineering and Science, Aalborg University. His research focuses on applying machine learning and artificial intelligence techniques to enhance reliability and condition monitoring in power electronic systems, with specific interests in lifetime estimation, fault diagnosis, and health management of critical components like capacitors and semiconductor devices. Institution: Aalborg University School: Faculty of Engineering and Science Department: AAU Energy Email: szh@energy.aau.dk His research spans multiple domains including: Physics-informed machine learning for power converter systems Remaining useful life prediction with hybrid Bayesian deep learning Thermal transient analysis and stress emulation methods IoT-enabled monitoring schemes for semiconductor devices Neural network applications in lithium-ion battery prognostics Recent publications show a strong trend toward integrating domain-specific physics with machine learning frameworks to address real-world challenges in: Power electronics reliability under operational stress Anomaly detection in multivariate time-series data Robust fault diagnosis for railway traction systems Temperature estimation in electric vehicle motors Imbalanced data handling in diagnostic systems Capacitance degradation modeling under environmental factors Current projects demonstrate collaboration with leading institutions on: AI-assisted long-term maintenance strategies Physics-informed neural network architectures Smart agricultural monitoring systems via IoT platforms Advanced particle filter methods for life prediction

Horst-Gunter RubahnView profile

Professor

• Nanofiber Materials Science
• Organic Solar Cells
• Nanostructure Materials
• +7 more

Horst-Gunter Rubahn serves as Head of Department and Professor at the Mads Clausen Institute (MCI) within the University of Southern Denmark, and also leads the SDU Climate Cluster. With an extensive publication record of 480 publications, his academic career demonstrates significant leadership and research impact in materials science and nanotechnology. Dr. Rubahn's research focuses on construction of organic nanostructures , with particular expertise in nanofibers, organic solar cells, nanostructures, surface plasmonics, and thin films. His work spans multiple disciplines including materials science, environmental monitoring, energy storage, and sensor technology. The fingerprint analysis of his research shows strong connections across 12 similar research profiles with significant contributions to nanofiber materials science (100%), organic solar cells (60%), nanostructure materials (48%), and surface plasmonics (48%). His recent publications demonstrate trends toward practical applications of nanotechnology in environmental monitoring (nanoplastic detection), energy storage (eutectic salt hydrate composites), and food safety (electronic nose technology for poultry freshness). These works show increasing interdisciplinary collaboration across materials science, environmental science, and engineering disciplines. Villum Grant - Villum Experiment (2022) for research on perovskite solar cells and metal oxide interfaces Dr. Rubahn has supervised PhD students (2 listed in records) and leads multiple significant research projects totaling six active and completed initiatives. His current projects include NANOCHEM (Ultrahigh resolution chemical characterisation, 2022-2028), Motorvej For Materialeviden (2024-2027), and Perovskite solar cell stabilization research (2023-2025). His work has attracted substantial funding from both public and private sources, with research grants spanning energy storage, environmental monitoring, and advanced materials development. He leads research teams working on nanoscale materials characterization, with particular focus on the Mads Clausen Institute's facilities. His research groups collaborate extensively across international boundaries, with visible network connections across multiple countries as shown in his collaboration map. The teams focus on developing advanced materials for energy applications, environmental monitoring solutions, and novel sensing technologies with practical industrial applications.

Pedram RaminView profile

Researcher

• Process Systems Engineering
• Wastewater Treatment
• Bioprocess Modeling
• +12 more

Pedram Ramin is a Senior Researcher in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), affiliated with the PROSYS - Process and Systems Engineering Centre. His work contributes to UN Sustainable Development Goals related to clean water and sustainable cities. His research focuses on process systems engineering, particularly in wastewater treatment, bioprocess modeling, and digital twin development. Key areas include fault detection using machine learning, anaerobic digestion, industrial fermentation, and sewer system modeling. He applies data-driven techniques like Random Forest and Long Short-Term Memory networks to address challenges in imbalanced big data from wastewater systems. His recent publications highlight trends in integrating artificial intelligence with process engineering for environmental applications, especially in monitoring and optimizing wastewater and biomanufacturing systems. These works span fault diagnosis, life cycle assessment, and hybrid modeling for industrial-scale processes. Senior Researcher, DTU Chemical and Biochemical Engineering Supervisor, Mathematical modelling for digital twins of fermentation processes (2023–2026) PhD Graduate, DTU (2013–2017) He has contributed to multiple research projects and has presented at international conferences on topics such as wastewater-based epidemiology and biogas reactor optimization. While no formal scientific awards are listed, his work is widely published and cited in the field of process engineering and environmental technology. He supervises PhD students, including M. Lemperle, and collaborates extensively within DTU and with external partners. His lab environment is centered around the PROSYS research group, focusing on advanced modeling and simulation for sustainable industrial processes. Future work appears directed toward enhancing digital twins and improving wastewater monitoring through AI-driven analytics.

Zhe ChenView profile

Professor

• Wind Turbine Engineering
• Power Engineering
• Control Strategy
• +7 more

Professor Zhe Chen is a distinguished academic at Aalborg University's Faculty of Engineering and Science, where he leads research in Electric Power Systems and Microgrids within the Intelligent Energy Systems and Flexible Markets department. With an extensive publication record spanning over two decades and more than 1,200 publications, he has established himself as a leading expert in power engineering and renewable energy systems. Professor Chen's research focuses on Wind Turbine Engineering, Power Engineering, Control Strategy, Wind Power Engineering, Energy Engineering, and Reinforcement Learning. His work bridges theoretical advancements with practical applications in smart grid technology and microgrid systems. His research interests center around developing innovative solutions for renewable energy integration, power system stability, and efficient energy management. His recent publications demonstrate a strong trend toward integrating artificial intelligence with traditional power engineering, particularly in applying deep reinforcement learning to power system control, state estimation with noisy data, and optimization of power electronic converters. His work shows increasing focus on carbon emissions optimization, thermal management in power electronics, and the application of advanced neural network architectures to energy systems. MPCE 2023 Best Paper Award for research on reinforcement learning applications in electric vehicles MPCE 2022 Best Paper Award for distribution network optimization MPCE 2021 Best Paper Award for reinforcement learning in energy systems WATAB Best Paper Award 2005 for offshore wind farm research IEEE Fellow recognition for contributions to power electronics and renewable energy systems Professor Chen has supervised 27 PhD students throughout his career, demonstrating his commitment to academic mentorship. His current research is supported by significant grants including the Erasmus+ funded S3SF project (Smart Energy Solutions for a Sustainable Future) and multiple projects focused on machine learning-based stability analysis for multi-energy systems. His collaborative work spans numerous international partnerships, with recent projects involving researchers from China, Europe, and other global institutions. Professor Chen leads a research team focused on intelligent energy systems, working on advanced control strategies for microgrids, power quality analysis, and the integration of renewable energy sources into existing power infrastructure. His team is particularly known for innovative approaches to wind power integration and DC microgrid technologies.

• Construction Engineering
• Structural Health Monitoring
• Concrete Structures
• +5 more

Muhammad Usman Hanif is an Assistant Professor at the Department of Technology and Innovation within the Faculty of Engineering at the University of Southern Denmark (SDU). His research focuses on structural health monitoring , concrete durability , and damage assessment in civil engineering systems. Research Highlights Advanced signal processing for bridge damage detection Acoustic Emission techniques in CFRP-concrete debonding Machine learning applications in concrete durability prediction Augmented Reality integration with bridge monitoring systems Recent Publications (2023-2025) 2025: Machine learning in concrete durability 2024: Novel ΔT mapping for debonding detection 2023: FBG sensors in CFRP retrofitted beams 2022: MEMS accelerometers for damage assessment Teaching Activities Finite Element Method (2025) Non-linear Finite Element Method (2025) Advanced Finite Element Analysis (2024)

Silvia ToluView profile

Associate Professor

• Neurorobotics
• Bio-inspired Control Systems
• Neuromorphic Engineering
• +3 more

Silvia Tolu is an Associate Professor at the Technical University of Denmark's Department of Electrical and Photonics Engineering, specializing in Neurorobotics. She leads the NeuroRobotics Technology Lab (NRT-LAB), focusing on bio-mimetic control architectures for compliant robotic systems. Her research integrates neuroscience, computer science, and biology to develop solutions for assistive robotics and neurodegenerative disease diagnosis. Her research interests span: Neuro-robotics and neuromorphic engineering Bio-inspired control systems and adaptive motor control Machine learning for robotic applications Human-robot compliant interaction Cerebellar control models Publications primarily focus on neurorobotics, bio-inspired control, and human-robot interaction, with recent advances in learning-based control systems for soft robots and aerial manipulation. Awards include the AEG Elektrofonden Research Grant and funding for human-robot interaction safety research. Current projects include LOCOPD (Lundbeck Foundation), AEROTRAIN (EU Marie Curie ITN), and compliant human-robot interaction systems. She supervises multiple PhD students in neurorobotics and maintains international collaborations across Europe and Asia. Laboratory resources include advanced robotic platforms for musculoskeletal and soft robot control.

Marie BrønsView profile

Assistant Professor

• Mechanical Engineering
• Structural Dynamics
• Vibration Analysis
• +4 more

Marie Brøns is an Assistant Professor at the Department of Solid Mechanics, Danish Technical University (DTU), specializing in vibration analysis and structural dynamics. Her work focuses on bolted joints, frequency-based substructuring, and nonlinear system modeling. Academic Affiliation: DTU, College of Civil and Mechanical Engineering Key Research Areas: Bolted joint dynamics, Timoshenko beam theory, hybrid modeling frameworks Her recent publications highlight advancements in vibration-based bolt tension estimation (2025) and measurement correction frameworks for substructuring (2024). These works intersect mechanical engineering, applied mechanics, and computational modeling. Marie received the Young Researchers Award in 2021 for her contributions to structural health monitoring. She leads the DDSUB project (2021-2024) exploring dynamic disturbance substructuring and participated in a PhD project (2017-2020) focused on experimental vibration methods. Scientific Awards Young Researchers Award 2021

Tamas KerekesView profile

Associate Professor

• Power Electronics
• Photovoltaic Systems
• Energy Storage Systems
• +5 more

Tamas Kerekes is an Associate Professor at AAU Energy, part of the Faculty of Engineering and Science at Aalborg University. His work focuses on power electronics, photovoltaic systems, and grid integration. He has extensive teaching experience in MSc courses such as Control of Electrical Drives and Converters, Grid Interactive PV Inverters, and PhD/Industrial courses including Photovoltaic Power Systems and Power Electronics for Renewable Energy Sources. Education: He holds a PhD in Electrical Engineering (Analysis and Modeling of Transformerless Photovoltaic Inverter Systems) from Aalborg University (2005–2008). Research Interests: His expertise spans photovoltaic systems, energy storage, and power electronics for renewable integration. He leads and participates in projects like TilePlus (solar roof tiles), ECoGrif (grid-friendly power converters), and MMC Advanced Control with AI-based Grid Stability Assessment. His work emphasizes condition monitoring, decentralized algorithms, and cost-effective energy management strategies. Projects & Grants: He has been involved in 15+ projects funded by Innovation Fund Denmark, European Commission, and ERASMUS+. Notable contributions include the development of solar tile solutions, hybrid energy storage systems, and grid-friendly converter technologies. Labs/Teams: Leads the TilePlus project team for solar energy collection and collaborates on advanced control systems for microgrids and power converters. His research group focuses on experimental validation and real-world implementation of renewable energy solutions.

Gert Frølund PedersenView profile

Professor

• Antenna Engineering
• Multiple-Input Multiple-Output (MIMO) Systems
• Millimeter Wave Technology
• +6 more

Gert Frølund Pedersen is a Professor at the Department of Electronic Systems , Aalborg University , within the Technical Faculty of IT and Design . His research focuses on antennas, propagation, and millimeter-wave systems. He leads projects like DRONES (30 million DKK from Innovationsfonden) for drone-based electromagnetic signature analysis and EcoSurf6G for energy-efficient reconfigurable surfaces in 6G networks. With over 758 research outputs and 21 PhD students supervised, he contributes extensively to wireless communication advancements. Antenna Engineering Millimeter-Wave Systems Reconfigurable Intelligent Surfaces Deep Learning in Antenna Design His recent work emphasizes millimeter-wave IoT applications , UWB propagation channels , and 5G/6G antenna arrays . Publications highlight innovations in transmitarray antennas , liquid crystal polarization control , and metasurface design using AI. His research spans from fundamental electromagnetic safety to cutting-edge wireless infrastructure. Notable awards include Best Reading Paper of the Issue (IEEE Transactions on Microwave Theory and Techniques, 2020), ESI Highly Cited Paper (2019), and Ridder af Dannebrog (2021). He frequently engages with media to address public concerns about mobilstråling (mobile radiation) and its safety.

Anders Schmidt KristensenView profile

Associate Professor

• Mechanical Engineering
• Risk Analysis
• CAD
• +8 more

Anders Schmidt Kristensen is an Associate Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Esbjerg Energy Section and the Danish Centre for Risk and Safety Management. His work spans mechanical engineering, computational mechanics, and risk analysis, with a focus on structural design optimization and safety systems. Specializes in CAD-integrated structural modeling and finite element method (FEM) simulations Active in offshore energy and space debris mitigation research Key technologies: drag sail systems for satellite deorbiting, wind turbine power quality control, and tube-tubesheet joint modeling Recent research trends include: Structural health monitoring under thermal stress Optimized evacuation protocols for sports venues Advanced numerical modeling techniques for industrial components

Fan ZhouView profile

Researcher

• Fuel Cell Technology
• Hydrogen and Electro-fuels
• Thermal Engineering
• +3 more

Fan Zhou is a Researcher at Aalborg University's Department of Thermal Engineering within the Faculty of Engineering and Science, specializing in hydrogen and electro-fuels. His work focuses on high-temperature proton exchange membrane (HT-PEM) fuel cells and solid oxide electrolysis systems, with applications in power-to-X and micro combined heat and power (micro-CHP) solutions. He holds a PhD awarded in February 2016 and maintains an active research profile with 27 documented publications. His research interests center on Fuel Cell Technology , Hydrogen and Electro-fuels , and Thermal Engineering , with specific expertise in performance degradation mechanisms, fault diagnosis using electrochemical impedance spectroscopy (EIS) and machine learning, thermal management, and dynamic operation of energy conversion systems. Current investigations address real-time monitoring challenges in residential microgrids and power-to-X applications, examining how operational parameters like temperature, pressure, and gas composition affect system efficiency and durability. Analysis of his 15 most recent publications (2021-2025) reveals a strong emphasis on data-driven approaches for fault detection in fuel cells, dynamic operation effects on electrolysis cells, and integration of clean energy systems. Key trends include the application of convolutional neural networks for online diagnostics, investigation of AC/DC frequency effects in solid oxide electrolysis, and development of control systems for micro-CHP applications using HT-PEM fuel cells. Dr. Zhou currently participates in two major research projects: Robust And Dynamic Electrolysis for Power-to-X (2024-2027), focusing on advanced electrolysis technologies for power-to-X applications, and FC-COGEN (2023-2025), developing micro combined heat and power systems. Both projects are funded by the Energy Technology Development and Demonstration Program (EUDP) and involve collaboration with industry partners and researchers including Søren H. Jensen and Simon L. Sahlin from AAU's Power Electronics and Drives group.

Kaare MikkelsenView profile

Associate Professor

• Biomedical Signal Processing
• Sleep Science
• Wearable EEG Systems
• +3 more

Kaare Mikkelsen is an Associate Professor in the Department of Electrical and Computer Engineering at the Faculty of Technical Sciences, Aarhus University, specializing in biomedical engineering with a focus on ear-EEG technology for sleep and auditory neuroscience applications. His research pioneers non-invasive monitoring systems using ear-centered EEG sensors, developing machine learning frameworks for automatic sleep staging and auditory attention decoding. Key contributions include personalized sleep scoring algorithms that adapt to individual physiological variations and deep learning models for decoding brain responses to natural speech, enabling applications in hearing assistance and brain-computer interfaces. Recent publications (2022-2025) demonstrate a cohesive research trajectory centered on overcoming real-world challenges in wearable EEG: improving long-term reliability through electrode configuration studies, developing standardized data pipelines, and validating ear-EEG against clinical polysomnography. His work bridges engineering innovation with clinical sleep medicine, emphasizing at-home deployment and user-specific adaptation. Dr. Mikkelsen leads significant research projects including: Event based attention detection (2021-2024) Ear-EEG sleep monitoring (2015-present) His work receives funding from Danish research councils and involves collaborations with clinical partners for validation studies in naturalistic settings. As part of Aarhus University's Biomedical Engineering group, he utilizes advanced laboratories for sensor development and signal processing, contributing to the department's strategic focus on healthcare technology innovation.