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Evangelos BoukasView profile

Associate Professor

• Deep Learning
• Unmanned Aerial Vehicles
• Computer Vision
• +5 more

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.

Jakob Blæsbjerg HoofView profile

Associate Professor

• Synthetic Biology
• Fungal Genetics
• Metabolite Engineering
• +2 more

Jakob Blæsbjerg Hoof is an Associate Professor in the Department of Biotechnology and Biomedicine at the Technical University of Denmark. His research focuses on synthetic biology, fungal genetics, and enzyme biochemistry, with contributions to understanding fungal secondary metabolites and microbial engineering. Research domains include: Genetic manipulation of filamentous fungi Metabolic pathway engineering Protein biochemistry and enzyme mechanisms Genomics and comparative biology Bioinformatics and AI applications His recent publications focus on fungal genomics, deep learning applications in microbiology, and enzyme characterization. Research primarily involves Aspergillus species and yeast metabolic engineering. Current PhD supervisions include projects on: Precision fermentation optimization Fungal gene cataloging for disease research Microbial enzyme production Secondary metabolite evolution Metabolic pathway modulation

Baoze WeiView profile

Associate Professor

• Microgrid Control
• Power Electronics
• Renewable Energy Integration
• +5 more

Baoze Wei is an Associate Professor at Aalborg University's Department of Electric Power Systems and Microgrids, part of the Faculty of Engineering and Science. His research focuses on advanced control strategies for power electronics, microgrid stability, and energy management systems. He leads and collaborates on projects such as the Digital Twin-based Reliability Framework for Aviation Systems and Holistic Optimization of Green Fuel-Powered Microgrids. Key contributions include work on distributed energy systems, fault-tolerant architectures, and predictive maintenance for power electronics. His research emphasizes practical applications in renewable integration, smart grids, and industrial electrification. Wei has supervised one PhD student, Q. He, and contributed to projects funded by entities like Horizon JU and Huawei. Notable collaborations include work on hybrid-electric aircraft systems (HECATE) and advanced control algorithms for distributed converters. His research spans technical areas such as voltage source inverters, uninterruptible power systems (UPS), and DC shipboard microgrids. His publications reflect expertise in model predictive control, energy trading strategies, and condition monitoring. Current research trends include data-driven lifetime prediction for power electronics components and optimization of multi-energy systems. He actively participates in international conferences, contributing to both theoretical advancements and real-world system implementations.

Rasmus ElsøeView profile

Associate Clinical Professor

• Orthopaedic Surgery
• Trauma Medicine
• Fracture Management
• +3 more

Rasmus Elsøe is a Clinical Associate Professor at Aalborg University Hospital's Department of Clinical Medicine, affiliated with The Faculty of Medicine. His work focuses on orthopaedic trauma, fracture management, and patient outcome assessment. He has conducted extensive research on musculoskeletal disorders, including long-term effects of fractures and comorbidity impacts on clinical outcomes. His recent studies include randomized trials comparing surgical techniques for tibial fractures and validation of outcome scoring systems. Research interests span epidemiological studies of musculoskeletal injuries, clinical measurement tools, and surgical outcome optimization. Key projects include the IMVEX trial evaluating intramedullary nailing versus external fixation, and register-based cohort studies analyzing fracture sequelae over decades. Publications highlight methodological rigor in outcome score validation (e.g., KOOS adaptations) and inter-observer reliability in imaging analysis. His work bridges clinical practice and population-level epidemiology, addressing both surgical technique optimization and broader health system implications of musculoskeletal conditions.

Anne Marie SvaneView profile

Associate Professor

• Topological Data Analysis
• Probability Theory
• Mathematical Statistics
• +3 more

Anne Marie Svane is an Associate Professor at the Department of Mathematical Sciences, Aalborg University, specializing in topological data analysis, stochastic geometry, and probability theory. Her research bridges theoretical mathematics with applied statistics, focusing on geometric functionals and computational methods. Education: PhD in Mathematics from Aarhus University. Her recent work explores cobordism obstructions, Gibbs processes, and applications in climate science and medical research. Key contributions include: Advancing kernel persistence methods for topological data analysis. Developing central limit theorems for spatial point processes. Modeling moisture dynamics in building physics with climate data. Investigating the interplay between digital algorithms and geometric structures. She collaborates on interdisciplinary projects like AI-Aalborg Intelligence and contributes to educational initiatives such as Girls' Day in Science.

• Astrophysics
• Cosmology
• High-Redshift Galaxies
• +7 more

Darach Jafar Watson is a Professor at the Niels Bohr Institute , affiliated with the DARK Cosmology Centre and the Cosmic Dawn Center (DAWN) in Copenhagen, Denmark. His research bridges observational astrophysics and cosmology, focusing on high-redshift galaxy evolution, supernova progenitors, and interstellar medium studies using cutting-edge James Webb Space Telescope (JWST) data. His recent work examines neutral gas reservoirs in early galaxies, metallicity diagnostics in GRB hosts, and dust composition across cosmic epochs. Key collaborations span institutions like University of Iceland , STScI , and INAF . Scientific Awards Lundbeck Foundation Research Prize for Young Scientists (2013) DM Research Prize (2017) As a leading figure in cosmic dawn studies , he contributes to understanding galaxy formation during reionization. His team leverages JWST's NIRCam and ALMA's radio capabilities to explore obscured AGN and supernova environments. Current projects include metallicity calibration methods and SFR-mass correlation analyses in distant galaxies.

Veronika CheplyginaView profile

Professor

• Machine Learning
• Medical Image Analysis
• Pattern Recognition
• +4 more

Veronika Cheplygina is a Professor at the IT University of Copenhagen and leads the Data-intensive Systems and Applications research group within the Pattern Recognition Revisited lab. Her work focuses on Machine Learning , Medical Image Analysis , and Pattern Recognition , with particular emphasis on Open Science practices and Bias in Medical AI . Primary Affiliation: Department of Data Science and Artificial Intelligence Research Metrics: 20 publications, 2 projects (2021-2025), 2 datasets Her research addresses critical challenges in medical imaging datasets, including annotation bias , data reuse , and fairness in AI through active collaboration with institutions across 5 countries. She has contributed to major conferences like NeurIPS and MICCAI. Scientific Funding & Recognition: Principal Investigator (PI) for Making Metadata Count (MMC) (Danmarks Frie Forskningsfond, 2022-2025) PI for Choosing a Transfer Source for Medical Image Classification (CATS) (Novo Nordisk Foundation, 2021-2025) She maintains an active role in academic governance as head of an assessment committee for faculty recruitment (2023) and has been featured in media discussions about medical AI practices.

• Astronomy
• Astrophysics
• Black Holes
• +2 more

Sandra Raimundo is an Assistant Professor and External Researcher at the Niels Bohr Institute, DARK Centre for Cosmology, University of Copenhagen, and concurrently serves as a Lecturer in Astronomy at the University of Southampton since July 2020. Her educational background includes: PhD in Astronomy, University of Cambridge (awarded February 18, 2012) Dr. Raimundo's research spans observational astrophysics with core expertise in black holes, active galactic nuclei (AGN), and galaxy evolution. She investigates photometric variability of AGN in dwarf galaxies, tidal disruption events, changing-look AGN phenomena, and AGN feedback effects on host galaxies using multi-wavelength observations and time-domain surveys. Her recent publications (2024-2025) demonstrate concentrated work in time-domain astrophysics, featuring studies on variable AGN in dwarf galaxies, disk reprocessing in tidal disruption events, and supernova progenitor evolution. These works frequently emerge from large international collaborations such as the Young Supernova Experiment and Pan-STARRS. She is an integral member of the DARK Centre for Cosmology, which conducts cutting-edge research on dark matter, dark energy, and cosmological structure formation. Her observational work directly contributes to the center's mission of advancing fundamental cosmic understanding through empirical evidence.

• Hematology
• Iron Overload Disorders
• Myelodysplastic Syndromes
• +5 more

Peter-Diedrich Matthias Jensen serves as a Senior Physician ( Overlæge ) at Aalborg University Hospital within the Faculty of Medicine's Department of Haematology in Denmark. His clinical and research work focuses on hematological disorders with particular expertise in iron metabolism disorders and advanced imaging techniques for iron quantification. Dr. Jensen's research interests center on iron overload conditions, including hereditary anemia, myelodysplastic syndromes, and transfusional iron overload. His work extensively utilizes minipig models to develop and validate non-invasive diagnostic techniques, particularly MRI-based methods for quantifying iron in liver and cardiac tissues. His research bridges clinical hematology with advanced imaging physics to improve diagnostic accuracy and treatment monitoring for patients with iron-related disorders. Analysis of his publication trends reveals a strong focus on developing and validating MRI techniques for iron quantification using minipig models, with significant contributions to understanding iron metabolism in hereditary anemia and myelodysplastic syndromes. His work demonstrates interdisciplinary collaboration between hematology, radiology, and physics to address clinical challenges in iron overload disorders. Dr. Jensen has been actively involved in several large-scale collaborative studies including the DAHEAN project, a Danish nationwide study focused on quality assurance for suspected hereditary anemia patients. His research has been published in reputable journals including the Journal of Cardiovascular Magnetic Resonance, Magnetic Resonance Materials in Physics, Biology and Medicine, and Leukemia.

Kathrine HolteView profile

Associate Clinical Professor

• Perioperative Medicine
• Surgical Outcomes
• Pain Management
• +10 more

Kathrine Holte is a Clinical Associate Professor at Aalborg University's Faculty of Medicine and a Senior Physician (Overlæge) at North Denmark Regional Hospital. She is affiliated with the Department of Clinical Medicine and the Center for Clinical Research, where she contributes to clinical research and surgical patient care. Her research interests center on perioperative medicine , surgical outcomes , and infection management . Key areas include epidural analgesia, postoperative ileus, anastomosis leakage, and the use of inflammatory biomarkers such as procalcitonin in grading the severity of intra-abdominal infections. Her work bridges clinical practice and evidence-based medicine, with a strong emphasis on improving diagnostic accuracy and treatment protocols in emergency and surgical settings. Recent publications show a consistent focus on acute abdominal conditions , including acute cholecystitis and appendicitis, where she evaluates imaging modalities and antibiotic regimens. Her research outputs—spanning journal articles and conference posters—highlight trends in biomarker utilization, surgical decision-making, and patient stratification in emergency surgery. Scientific Awards: No formal awards listed in the provided text. Kathrine Holte actively participates in clinical research and mentoring within multidisciplinary teams. While no direct mention of students or grants is given, her repeated collaborations—particularly with P.D.C. Leutscher—indicate involvement in funded or institutional research projects. She contributes to knowledge dissemination through peer-reviewed publications and conference presentations. She is part of the Center for Clinical Research at Aalborg University, which supports evidence-based practice and clinical trials in regional healthcare. Her work aligns with improving perioperative care pathways and outcomes for surgical patients in Danish regional hospitals.

• Lipidomics
• Proteomics
• Mass Spectrometry
• +5 more

Christer S. Ejsing is an Associate Professor and Principal Investigator at the Department of Biochemistry and Molecular Biology, University of Southern Denmark (SDU). He leads a research group dedicated to advancing mass spectrometry-based lipidomics and proteomics for systems-level understanding of lipid metabolism in health and disease. His research focuses on lipidomics, proteomics, mass spectrometry, systems biology, and lipid metabolism . His group integrates cutting-edge technologies to study lipid homeostasis across model organisms, with particular interest in organelle interactions, metabolic regulation, and diurnal dynamics. He is a key contributor to the standardization of lipidomics data reporting and nomenclature, promoting transparency and reproducibility in the field. The publication record shows a strong trend in developing and applying advanced mass spectrometry workflows, with recent work emphasizing data standardization, phosphoproteomic regulation of lipid synthesis, and inter-organ lipid crosstalk. His work spans fundamental biophysical processes like membrane curvature sensing to systemic metabolic regulation. Christer Ejsing has no listed scientific awards in the provided text. He is actively involved in research leadership and collaboration, supervising research projects and contributing to major international initiatives such as the LIPID MAPS consortium and the Lipidomics Standards Initiative. His group's work is supported by ongoing research grants, though specific funding sources are not detailed here. He leads the research group hosted at www.msLipidomics.info , which serves as a hub for lipidomics methodology development and application.

Kumari PoojaView profile

Researcher

• Machine Learning
• Deep Learning
• Image Processing
• +4 more

Kumari Pooja is a Marie Curie Doctoral Researcher and PhD Student at the Technical University of Denmark (DTU), affiliated with the Department of Applied Mathematics and Computer Science Visual Computing. She contributes to open-source computational tools and geometric modeling. Research Interests: Machine Learning and Deep Learning for imaging 3D Visualization and Fiber Tracking Medical Imaging and Hyperspectral Data Analysis Optimizing Computational Efficiency in Image Reconstruction Scientific Contributions: Her work spans 3D Python tool development , deep unrolled neural networks , and hyperspectral classification architectures , with a focus on robustness to noise and multi-scale analysis. Awards: Marie Curie Doctoral Researcher Fellowship Contact: pooja@dtu.dk

Yasushi OkadaView profile

Professor

• Cell Biology
• Biophysics
• Optical Microscopy
• +7 more

Yasushi Okada, Ph.D., is a Professor at the Department of Cell Biology, Graduate School of Medicine, The University of Tokyo, with concurrent positions at the Department of Physics, Graduate School of Science, and RIKEN Center for Biosystems Dynamics Research where he serves as Principal Investigator and Team Leader of the Laboratory for Cell Polarity Regulation. His interdisciplinary research bridges cell biology, biophysics, physics, chemistry, and information science to address fundamental questions about life processes. Dr. Okada's research focuses on developing and applying advanced imaging technologies to directly observe molecular processes within living cells. His laboratory specializes in three key technological areas: high-resolution live-cell imaging techniques, cell state visualization probes, and image analysis methods. Through these approaches, his team investigates intracellular transport mechanisms, particularly in neurons, with emphasis on axonal transport and microtubule-kinesin interactions. Analysis of his recent publications reveals a strong trend toward interdisciplinary approaches combining advanced microscopy, molecular probe development, and computational analysis. His work spans multiple biological systems including stem cells, neurons, and mitochondrial dynamics, with applications in understanding fundamental cell biology processes and neurological disorders. His research often involves developing novel imaging technologies that push the boundaries of what can be observed in living cells. Scientific Awards: Nakatani Award (February 2024) Dr. Okada has established significant research collaborations across multiple institutions and disciplines. His laboratory develops original technologies ranging from microscope optics to molecular probes, demonstrating strong technical innovation alongside biological discovery. His recent work shows increasing integration of computational methods with experimental approaches, particularly in image analysis and deep learning applications for cellular feature extraction. His research team operates at the intersection of multiple core facilities including imaging cores and data science resources, facilitating cutting-edge investigations into cellular dynamics. Current work focuses on understanding how structural differences in cellular components like microtubules contribute to polarized transport and cell fate determination.

• Astrophysics
• Galaxy Formation
• Cosmic History
• +3 more

Rashmi Gottumukkala is a PhD Fellow at the Niels Bohr Institute , University of Copenhagen, affiliated with the Cosmic Dawn Center (DAWN). Her research focuses on galaxy formation and evolution during the early universe (z > 3), utilizing data from the James Webb Space Telescope (JWST). Key areas include stellar mass functions, cosmic star formation rate density, and dust-obscured galaxy populations. Key Research Threads: High-redshift galaxy evolution (z=4–9) Dust-obscured systems in cosmic history Starburst and quenching mechanisms Instrumentation Expertise: JWST/NIRCam, JWST/NIRSpec. Collaborates with international teams on galaxy surveys like COSMOS-Web and RUBIES.

Martin Marchman AndersenView profile

Associate Professor

• Stigma
• Weight Stigma
• Mental Illness Stigma
• +6 more

Martin Marchman Andersen is an Associate Professor at the National Institute of Public Health, University of Southern Denmark, and active within the Center for Philosophy and Ethics of Health. His transdisciplinary work bridges philosophy with public health, collaborating with physicians, biologists, economists, and engineers to address ethical and conceptual challenges in health policy and practice. Ph.D. in Health, personal responsibility, and distributive justice from University of Copenhagen (2013) His research centers on stigma (particularly weight and mental illness stigma), sustainability conceptualization/quantification, and healthcare priority settings. Through philosophical analysis, he examines how stigma manifests in clinical interventions and public health policies, while critically evaluating environmental sustainability frameworks for public health systems. His work consistently challenges assumptions about personal responsibility in health and explores ethical implications of resource allocation. Analysis of his 2022-2025 publications reveals three dominant trends: (1) Deepening theoretical work on stigma definitions and manifestations, especially regarding weight and mental health; (2) Critical examination of sustainability metrics in public health with growing focus on planetary boundaries; (3) Ethical analysis of priority-setting frameworks that increasingly incorporates environmental considerations. His research maintains strong transdisciplinary connections between philosophy, epidemiology, and clinical practice. Andersen serves as principal supervisor for PhD candidate S. Wagner on the T2D Stigma project (2024-2027) investigating weight-related stigma in diabetes care. He leads the Research Council-funded project "Understanding stigma: Concept and measurement" (2025-2028) developing new stigma assessment tools. His institutional roles include teaching scientific theory, responsible conduct of research, and evidence-based health policy courses since 2020. He actively engages with public discourse through media contributions on maternity legislation, longevity ethics, and climate-health tradeoffs, demonstrating commitment to translating academic work into societal debate. His institutional base within the National Institute of Public Health provides infrastructure for collaborative research across Denmark's healthcare system.