Jacob Aleksandar Siegumfeldt is an Instructor at the Department of Computer Science (DIKU), University of Copenhagen. Key Affiliation : Pioneer AI Section, DIKU Research in the Pioneer AI section focuses on foundational topics in artificial intelligence, including: Computer Vision (fine-grained classification, self-supervised learning, multimodal AI for misinformation detection) Medical Image Analysis (large-scale observational studies, brain data analysis) Geometric Statistics (shape modeling, phylogenetic inference) Teaching activities in the section include machine learning, deep neural networks, vision/image processing, and data science courses.
Jacob Wittrup Schmidt is an Associate Professor at the Department of the Built Environment, Faculty of Engineering and Science, Aalborg University. His research focuses on structural engineering, specializing in advanced concrete technologies, bridge assessment, and carbon fiber reinforced polymer (CFRP) strengthening systems. His work emphasizes sustainability through projects like CFRP strengthening systems and proof loading of bridges. Research themes include structural reliability, material durability under environmental stressors, and digitalization of infrastructure management. Recent publications highlight innovations in non-destructive testing methods such as proof load configurations and digital image correlation for structural health monitoring. Collaborative efforts have advanced international standards for bridge safety evaluations. Schmidt leads projects like Brotestprojekt V2 and CFRP Strengthening System , focusing on upgrading concrete structures and novel reinforcement techniques. He directs research groups in Sustainable Structures, Materials and Construction.
Christian Overgaard Christensen is a post-doctoral researcher within the Department of the Built Environment at Aalborg University’s Faculty of Engineering and Science, based in Copenhagen. Embedded in the Division of Structures, Geotechnics and Risk and the Sustainable Structures, Materials and Construction Research Group, he investigates experimental and decision-support methods for safe management of concrete bridge infrastructure. Education & Career: Ph.D. (field and year not specified in source) Current position: Post-doctoral researcher, Aalborg University Research Interests: Christensen’s work centres on on-site proof-load testing of existing concrete bridges, development of stop criteria and monitoring thresholds using digital image correlation (DIC) and acoustic emission, and advanced strengthening techniques employing prestressed/activated CFRP systems with tailored anchorages. He couples large-scale laboratory experiments with probabilistic decision analysis to enable reliability-based reclassification and socio-economically sound bridge management. Publication Trends: Since 2018 he has authored 21 peer-reviewed outputs, among them highly practical studies on full-scale load tests, CFRP anchorage durability, and code-oriented proof-load procedures. His 2024 contributions dominate by quantity, reflecting intensive activity within the Danish Road Directorate’s national proof-load programme, and showcase a blend of experimental testing, field monitoring, and decision-analytic modelling aimed at updating Eurocode-based assessment practice. Collaboration & Projects: He collaborates extensively with senior academics J. W. Schmidt, J. D. Sørensen, S. Engelund and P. Goltermann, as well as industry partners, on projects that have informed Danish bridge assessment guidelines. He co-supervises PhD candidate K. D. S. Damsgaard investigating comparative proof-load configurations for bridge classification. Contact: Department of the Built Environment, A.C. Meyers Vænge 15, 2450 København SV, Denmark Phone: +45 9940 2925 | Email: coc@build.aau.dk | ORCID: 0000-0002-6334-9280
Xiufeng Liu is a Senior Researcher at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on smart meter data analytics, big data, and energy systems, contributing to UN Sustainable Development Goals related to affordable and clean energy. He holds a PhD from Aalborg University (2012) and has held positions at IBM Canada, the University of Waterloo, and Åbo Akademi University. Dr. Liu’s expertise spans energy economics, climate policy modeling, and data-driven methodologies. His work integrates machine learning with energy systems, addressing challenges such as wind power forecasting, solar cell optimization, and heat load prediction. Key projects include OPTIX (optimizing positive-energy districts) and ANSWER (wind-solar energy prediction models). His research outputs emphasize sustainable energy solutions, including federated learning frameworks for privacy-preserving data sharing and anomaly detection in energy grids. Collaborations span global institutions, reflecting his commitment to interdisciplinary energy solutions. Dr. Liu has supervised numerous projects and contributed to 148 publications. His work bridges technical innovation with policy implications, aiming to advance climate-compatible energy strategies globally.
Anderson de Souza Castelo Oliveira is an Associate Professor at Aalborg University's Department of Materials and Production within The Faculty of Engineering and Science. He holds a PhD in Biomedical Engineering (2012) and specializes in biomechanics, gait analysis, and sensor technologies. His research focuses on applications such as neurological disorders (e.g., Parkinson's disease), sports biomechanics, and exoskeletons for older adults. Oliveira has supervised one PhD student and contributed to over 116 publications since 2010. His recent work includes studies on mandibular movement classification, EEG activity in elite athletes, and reliable gait analysis using inertial measurement units (IMUs). Education: PhD in Biomedical Engineering (2012) Research interests span biomechanical analysis of human movement, sensor reliability, and neurophysiological mechanisms underlying motor control. His articles often address technical challenges in wearable sensor data interpretation and clinical applications. Notable contributions include improving gait event detection algorithms and assessing exoskeleton efficacy in aging populations.
Asbjørn Mohr Drewes is a Clinical Professor at Aalborg University's Department of Gastroenterology and Hepatology, affiliated with the Faculty of Medicine. He leads the Center for Sensory-Motor Interaction and chairs multiple pancreatic disease initiatives. His work integrates clinical practice with research in chronic pancreatitis, gastrointestinal pain, and brain-gut interactions. He has authored over 1,067 publications and holds an H-index of 85. Drewes has secured €16.5 million in grants and received prestigious awards like the Hagedorn Prize and Dannebrog Order. He oversees 20+ researchers, including 8 PhD students, and has supervised 57 doctoral candidates. His leadership spans roles in international societies and multi-center studies. Education: MD, Aarhus University (1983) Specialist in Internal Medicine/Gastroenterology (1997) PhD, Aalborg University (1998) DMSc, Aarhus University (1999) Research interests focus on chronic pancreatitis, gastrointestinal pain mechanisms, and technology-driven diagnostics. He co-founded Mech-Sense, a multidisciplinary center advancing sensory and motor research. His studies span analgesic pharmacology, imaging innovations, and clinical trial design. Drewes has pioneered cross-cultural validation of pain assessment tools and AI-driven radiomics for pancreatic disease staging. His grants include major funding from the Novo Nordisk Foundation and EU programs. Awards reflect his contributions to gastroenterology and pain management. Drewes actively engages in media and policy discussions, advocating for healthcare research investment and ethical clinical practices. Key Roles: Director, Mech-Sense Research Center Leader, Centre for Pancreatic Diseases President, Scandinavian Association for Neurogastroenterology and Motility Editorial Board Member, multiple journals Collaborations span 50+ clinical trials and international networks, including the International Pancreatic Pain Consortium. His work bridges basic science, clinical care, and technological innovation to address unmet needs in gastrointestinal and pancreatic disorders.
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)
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.
Ann Nygaard Jensen serves as a Clinical Instructor and Senior Physician (Overlæge) at Aalborg University Hospital, affiliated with The Faculty of Medicine, Department of Clinical Medicine, and working in the Department of Gynaecology and Obstetrics in Denmark. Her professional address is Selma Lagerløfs Vej 249, Gynækologi-obstetrik, 9260 Gistrup. Dr. Jensen's research focuses on the intersection of genetics and obstetrics, with particular expertise in prenatal diagnosis, fetal anomalies, and non-invasive prenatal testing. Her work spans critical areas including chromosomal abnormalities, congenital heart defects in twin pregnancies, orofacial clefts, and the implementation of genetic screening technologies in clinical practice. The fingerprint analysis of her work shows 100% connection to Genetics, 86% to Childbirth, and 86% to Prevalence studies, reflecting her research concentration. Her recent publications demonstrate a strong focus on large-scale clinical studies in the Danish population, examining prevalence rates, detection methods, and the clinical implementation of prenatal genetic testing. Jensen has contributed significantly to understanding how genetic screening technologies are integrated into both public and private healthcare systems, with her 2021 paper on national data receiving 15 Scopus citations. Genetics (100% fingerprint match) Childbirth research (86% fingerprint match) Nationwide prenatal studies Twin pregnancy complications Dr. Jensen has received attention for her research, with multiple publications garnering citations and reader engagement across academic platforms. Her collaborative network includes prominent Danish researchers in obstetrics and genetics, indicating her integration within the national academic medical community.
Jens Skorstengaard Andersen is a Professor at the Department of Biochemistry and Molecular Biology , University of Southern Denmark, specializing in Biomedical Mass Spectrometry and Systems Biology . With 158 publications and leadership in 20+ research projects, his work bridges proteomics, structural biology, and cilia/centrosome dynamics. PhD in Biochemistry and Molecular Biology (1996, University of Southern Denmark) Research Management Certification (2008, Copenhagen Business School) Pedagogical Qualification (2010, University of Southern Denmark) Andersen’s research focuses on proteomics , mass spectrometry , and ciliopathies , with recent articles exploring: RNA decay mechanisms and transcription termination Structural roles of cilia microtubule proteins DNA maintenance protein landscapes CRISPR-based ciliary gene tagging Protein aggregation in neurodegenerative diseases Grants include Novo Nordisk Foundation Challenge Programme (DKK 360M) and Danish Ministry of Education and Research funding. He has supervised PhD defenses and taught Advanced Molecular Biology courses since 2005.
Claus Melvad is a Professor at the Department of Mechanical and Production Engineering, School of Engineering, Aarhus University. His primary research focuses on developing robotic systems and metrology equipment for extreme environments, including Arctic and rainforest regions. Expertise: Robotics, Metrology, Autonomous Vehicles, Sensor Systems Affiliation: Aarhus University School of Engineering Research Highlights: Melvad specializes in creating rugged, low-cost instruments for environmental monitoring. His work includes: Autonomous drones for biodiversity and disease monitoring in tropical regions Robotic ocean profilers for polar environments Modular autonomous surface vehicles (ASVs) for climate research Custom sensor systems for extreme condition calibration Publication Trends: Recent projects emphasize drone technology for remote biodiversity monitoring, low-cost Arctic instrumentation, and autonomous sampling systems. Keywords include environmental robotics, sensor development, and extreme environment engineering. Projects: Lead initiatives like GlacierPro (autonomous methane profiler), DISCO (student CubeSat program), and NORDACC (autonomous surface vehicle).
Pernille Klarskov Hansen is an Associate Professor at the Department of Electrical and Computer Engineering, Aarhus University, specializing in Electronics and Photonics. Her work bridges fundamental THz spectroscopy with industrial applications for sustainable materials. University: Aarhus University Department: Electrical and Computer Engineering Rank: Associate Professor Her research focuses on terahertz (THz) spectroscopy for material characterization, particularly in biodegradable polymers and flame retardants . She combines thermal-strain engineering with machine learning to enhance piezoelectric properties in eco-friendly materials. Key application areas include plastic waste sorting and environmental safety . Recent publications highlight her expertise in in-line sensing systems for industrial recycling, such as hyperspectral imaging of flame retardants in polyolefins. Her work spans journals like Nanoscale Horizons and conferences like FLEPS 2024, emphasizing scalable solutions for green electronics and marine pollution mitigation .
Esmaeil Nadimi is a Professor and Head of Unit at The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, where he leads the Applied AI and Data Science research unit. He holds multiple concurrent positions including Visiting Professor at Harvard University, Chair of Data Analytics at SDU eScience Center, and research roles with Innovationsfonden and Swiss National Science Foundation (SNSF) in Medicine & Biology and Health & Well-being domains. His educational background includes a Ph.D. in Electrical and Computer Engineering from Aalborg University (2008) and an M.Sc. in Electrical Engineering (Control Theory) from Sharif University of Technology (2004). Research focuses on foundational AI methodologies including Physics-Infused Learning, Meta & Transfer Learning, with applied research in healthcare (medical imaging, cancer detection, diabetic neuropathy), energy systems, and optical technologies. Core expertise spans machine learning, computer vision, statistical modeling, and medical AI systems development. Publications demonstrate strong emphasis on AI applications in medical diagnostics, particularly capsule endoscopy, cervical/colorectal cancer detection, and diabetic complication screening. Recent work increasingly addresses explainable AI frameworks and practical implementation pathways for clinical adoption. Leadership includes supervision of industrial PhD/postdoc programs and development of academic courses in AI/Data Science. Current grants involve Innovationsfonden and SNSF-funded projects. Leads multiple research teams focused on medical AI systems at SDU Applied AI and Data Science unit.
Cristina Isabel Amador Hierro serves as Associate Professor in the Department of Biology within the Faculty of Science at the University of Copenhagen. Her research is centered in the Microbiology section, where she investigates complex microbial communities with a focus on biofilm dynamics and interspecies interactions. Her primary research interests span Microbiology , Biofilm Research , and Environmental Microbiology , with specific emphasis on microbial ecology in wastewater systems and marine environments. Hierro employs advanced methodologies including fluorescence imaging, genomic analysis, and computational modeling to unravel biofilm formation mechanisms and interspecies communication. Recent publications demonstrate significant contributions to understanding biofilm matrix components , multispecies coexistence , and antifouling strategies . Her work frequently appears in high-impact journals such as Applied and Environmental Microbiology and npj Biofilms and Microbiomes , with several 2025 publications currently in press. Hierro maintains active collaborations with leading researchers including Morten Burmølle, Helle L. Røder, and Liubov Maccario, forming a robust research network focused on environmental microbiology. Her team utilizes cutting-edge approaches including biomimetic surfaces and high-throughput screening to address biofouling and biofilm-related challenges. Based at Universitetsparken 15 in Copenhagen, her laboratory contributes to both fundamental microbial ecology research and applied solutions for wastewater treatment and marine industry applications.
Andreas Peter Balslev-Clausen serves as a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen, specializing in Orthopaedic Surgery with a dedicated focus on pediatric conditions. His clinical and research work is anchored at Blegdamsvej 3, 2200 København N., under the Capital Region of Denmark (Region H), where he contributes to both academic and clinical orthopedic practice. His primary research interests encompass Pediatric Orthopedics, Trauma Surgery, and Radiographic Imaging, with particular expertise in childhood fractures, foot deformities, and innovative treatment protocols. Dr. Balslev-Clausen employs large-scale registry analyses and advanced imaging techniques to address critical gaps in pediatric orthopedic care, emphasizing evidence-based practice improvements. Analysis of his 2021-2023 publication record reveals a concentrated research trajectory targeting high-impact clinical questions in pediatric orthopedics, including evolving treatment preferences for forearm fractures, diagnostic frameworks for flat feet, and radiation-safe imaging for scoliosis. His work consistently bridges clinical practice with methodological innovation, particularly in biodegradable implants and standardized evaluation protocols. No scientific awards or honors were documented in the source materials. His collaborative research patterns—evidenced by multi-institutional co-authorship across all publications—suggest active engagement in grant-funded projects and potential mentorship roles, though specific grant details or advisee relationships were not explicitly stated in the provided texts.
