Control Algorithms Professors and Supervisors in Denmark

Benny DahlView profile

Clinical Professor

University of CopenhagenDenmark

Benny Dahl serves as a Clinical Professor at the Department of Clinical Medicine within the Faculty of Health and Medical Sciences at the University of Copenhagen. His clinical practice at the Orthopaedic Surgery division focuses on advanced spine surgery techniques for complex spinal conditions, with direct patient care conducted at Blegdamsvej 3, 2200 København N. His research program centers on surgical interventions for oncological spinal pathologies and deformities across pediatric and adult populations, with particular emphasis on idiopathic scoliosis. As a key member of an international genetics research consortium, he investigates molecular mechanisms underlying spinal deformities. Clinically, he pioneers osteotomy techniques and peri-operative navigation systems while conducting translational studies on multimodal pain management protocols to optimize surgical recovery. Recent publications (2024-2025) reveal dominant research vectors including long-term pulmonary outcomes in scoliosis patients, machine learning applications for spinal biomechanics analysis, and innovative fusion strategies for adult deformity correction. These works demonstrate methodological diversity spanning clinical trials, biomechanical modeling, and outcomes research, consistently addressing critical gaps in spinal deformity management and surgical safety. Dr. Dahl actively collaborates through an international research network dedicated to elucidating genetic factors in idiopathic scoliosis, facilitating multinational data sharing and standardized outcome measurement across 15 partner institutions in Europe and North America.

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Michael GøtzeView profile

Professor

University of CopenhagenDenmark

Michael Gøtze is a Professor of Administrative Law at the Faculty of Law, University of Copenhagen, where he has served since 2011. He heads the WELMA Centre for Legal Studies in Welfare and Market , focusing on Nordic welfare models and administrative challenges. His professional background includes service as a judge at the Eastern High Court and civil service at the Ministry of the Interior. Research Focus: Professor Gøtze's work examines rule of law challenges in digital governance, public accountability, and administrative systems. Key areas include: AI/digitalization impacts on legislation and administration Transparency mechanisms and freedom of information laws Whistleblowing protections for public employees Control frameworks (ombudsman systems, scrutiny commissions) Regulatory quality during crises (e.g., COVID-19 responses) External Engagements: Member of Danish Law on Freedom of Information revision committee (2024–2025) Assisting President of Energy Complaints Board (2013–present) Legal evaluator for Danish National Audit Institution (2020–present) Investigator in Nordic Waste environmental liability case (2025)

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Peter Lommer KristensenView profile

Associate Clinical Professor

University of CopenhagenDenmark

Peter Lommer Kristensen serves as a Clinical Associate Professor at the Department of Clinical Medicine within the Faculty of Health and Medical Sciences at the University of Copenhagen. His dual institutional affiliations include locations in both Hillerød (Dyrehavevej 29) and Copenhagen (Blegdamsvej 3), reflecting his integration between academic research and clinical practice through Region Hovedstaden healthcare services. His research expertise focuses on diabetes management with particular emphasis on: Hypoglycemia effects on cognitive and cardiac function Continuous Glucose Monitoring systems implementation Inpatient diabetes care protocols Insulin therapy optimization Clinical trial methodology in diabetes research Dr. Kristensen's 2025 publications reveal a concentrated research program examining hypoglycemia mechanisms, technology-enhanced diabetes management, and evidence-based protocols for hospital settings. His work frequently involves large-scale clinical trials like the Hypo-RESOLVE study and demonstrates strong collaborative networks across European institutions. His research has gained significant academic traction with multiple Scopus citations and substantial engagement on platforms like Mendeley, with several papers receiving attention from news outlets and social media discussions. The DIATEC randomized controlled trial represents a major contribution to evidence-based inpatient diabetes management. As a Clinical Research Lecturer ( Klinisk forskningslektor ) in Endocrinology, he bridges clinical practice with academic research, focusing on practical applications that improve diabetes outcomes in real-world settings.

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Selina TislerView profile

Assistant Professor

University of CopenhagenDenmark

Selina Tisler is an Assistant Professor in the Department of Plant and Environmental Sciences at the University of Copenhagen, specializing in the Section for Environmental Chemistry and Physics. Her research program focuses on advanced analytical techniques for environmental contaminants, particularly in water systems and wastewater treatment processes. Her primary research interests include: Development of analytical methodologies for environmental samples Non-target screening of emerging contaminants Wastewater treatment and contaminant removal strategies Chemical migration from materials into environmental matrices Environmental toxicology and risk assessment High-resolution mass spectrometry applications Dr. Tisler's publication record demonstrates expertise across multiple dimensions of environmental analytical chemistry, with recent work spanning from fundamental physicochemical studies of contaminant behavior to practical applications in water treatment technologies. Her research shows particular strength in developing and applying advanced chromatographic and mass spectrometric techniques for environmental analysis. Her scientific contributions include significant work on: Activated carbon treatment for pharmaceutical removal from wastewater Analysis of chemical migration from plastic materials Development of algorithms for high-resolution mass spectrometry data processing Adsorption mechanisms of organic micropollutants in wastewater systems Quality assurance in environmental analytical methods Dr. Tisler maintains an active collaborative research program, frequently working with colleagues including J.H. Christensen, M.B. Jørgensen, and K. Kilpinen, with publications appearing consistently through 2025 (including several listed as 'E-pub ahead of print').

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Louise Ohlhues BaandrupView profile

Associate Clinical Professor

University of CopenhagenDenmark

Louise Ohlhues Baandrup is a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen. Her work is centered at Blegdamsvej 3, 2200 København N., Denmark, where she conducts research primarily focused on gynecological cancers, particularly vulvar and ovarian cancers. Dr. Baandrup's research interests span several key areas in oncology and pathology: Gynecological Oncology, with particular focus on vulvar squamous cell carcinomas HPV-related cancer research and molecular diagnostics Cancer epidemiology, especially in Scandinavian populations Tumor microenvironment analysis, including tumor-stroma ratio and tumor infiltrating lymphocytes Digital pathology and algorithm development for cancer assessment Her recent publication record demonstrates a strong focus on vulvar cancer research, with multiple studies examining prognostic markers like p16 and HPV DNA, as well as innovative approaches to cancer assessment through digital algorithms. She frequently collaborates with researchers like Susanne K. Kjær on large-scale epidemiological studies examining cancer incidence and risk factors across Denmark and Scandinavia. Her work often utilizes nationwide registry data to investigate long-term cancer outcomes and risk factors. Dr. Baandrup has made significant contributions to understanding the relationship between autoimmune conditions like systemic lupus erythematosus and cancer risk, as well as examining how reproductive factors influence ovarian cancer survival. Her research has important clinical implications for cancer screening, diagnosis, and risk assessment in women's health.

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Flemming Jannik Vind BjerrumView profile

Associate Clinical Professor

University of CopenhagenDenmark

Flemming Jannik Vind Bjerrum holds a dual appointment as Clinical Associate Professor at the University of Copenhagen's Department of Clinical Medicine and as a surgeon at the Capital Region of Denmark, primarily affiliated with Amager and Hvidovre Hospital and Copenhagen Academy for Medical Education and Simulation. His work bridges clinical practice and academic research in surgical innovation. His research focuses on simulation-based training and competency assessment for minimally invasive and robotic surgery. Key areas include development of AI algorithms for surgical gesture annotation, virtual reality simulation modules, and evidence-based training protocols. His fingerprint analysis reveals dominant expertise in surgeon training , systematic reviews , laparoscopy , and simulation training , with significant contributions to surgical AI applications. Recent publications (2024-2025) show a strong trend toward artificial intelligence integration in surgical training and assessment, particularly in robotic surgery gesture analysis, bronchoscopy, and bowel preparation evaluation. Over 80 research outputs demonstrate consistent productivity, with 17 publications in 2024 alone indicating active current research. No scientific awards are publicly documented in the provided materials. His advising activities and grant funding are not explicitly detailed in available sources, though his leadership in multicenter trials (e.g., robotic cardiac surgery simulation assessment) suggests collaborative grant involvement. His work with the Copenhagen Academy for Medical Education and Simulation indicates institutional leadership in surgical education infrastructure. Bjerrum co-develops simulation technologies including virtual reality modules for canine surgery and AI-driven assessment tools, operating within interdisciplinary teams at Copenhagen Academy for Medical Education and Simulation. His research network shows extensive international collaboration, particularly in surgical AI standardization efforts.

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Martine Stagelund HvidtView profile

Assistant Professor

University of CopenhagenDenmark

Martine Stagelund Hvidt serves as Assistant Professor at the University of Copenhagen's Faculty of Law, affiliated with the WELMA Centre for Legal Studies in Welfare and Market. Her research bridges social rights and digital administrative law, focusing on citizen protections within automated public systems. Education PhD in Law, University of Copenhagen (2014) Master of Laws (Cand.jur.), University of Copenhagen (2011) Bachelor of Laws (BA.jur.), University of Copenhagen (2009) Research Focus Hvidt's work centers on Social Security Law in digital contexts, examining algorithmic errors in welfare administration and children's rights in automated systems. She investigates AI's impact on public administration, particularly regarding child benefits and social security access, while addressing algorithmic discrimination and platform worker protections. Her scholarship integrates gender perspectives and EU legal frameworks. Publication Trends Her 2022-2024 publications reveal concentrated research on digital welfare governance, with 2024 representing peak output. Key themes include algorithmic discrimination in child benefit systems, underrepresentation of youth rights in digital administration, and legal frameworks for platform workers. This corpus demonstrates growing urgency around balancing administrative efficiency with fundamental rights in Scandinavia's digital welfare state. Scientific Recognition No formal awards documented in source materials Academic Engagement While specific student supervision isn't detailed, Hvidt actively contributes to Nordic research networks including the Social Rights Group and Nordiskt socialrättsligt nätverk. Her committee memberships indicate institutional leadership within Copenhagen's legal research ecosystem, though grant funding specifics remain unreported. Research Infrastructure As a core WELMA Centre member, Hvidt operates within a specialized hub examining welfare-market legal intersections. Her participation in the Nordic Social Law Network facilitates cross-border collaboration on digital governance challenges, particularly regarding algorithmic accountability in Scandinavian welfare systems.

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Svend ChristensenView profile

Professor

University of CopenhagenDenmark

Svend Christensen is a Professor at the Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen. He has held prominent positions at the Danish Institute of Agricultural Sciences (now Aarhus University), the University of Southern Denmark, and the University of Copenhagen. For 16 years, he served as a professor and head of the Department of Plant and Environmental Sciences with more than 500 employees. Currently, he is a full professor in Crop Science and Technologies. Education: Ph.D., The Royal Veterinary and Agricultural University, 1993 M.Sc. Agr., The Royal Veterinary and Agricultural University, 1988 Svend Christensen's research focuses on establishing the scientific foundation needed to transform agricultural systems to address the dual challenges of feeding a growing global population and preserving the planet's ecological balance. His work explores the interactions between crops and their environment, utilizing advanced technologies such as biologicals, breeding, remote sensing, AI, and robotics to promote sustainable farming practices. He is particularly known for his significant contributions to understanding crop-weed competition and developing weed sensing and site-specific weed management technologies that have advanced precision agriculture globally. His recent publications demonstrate a strong trend toward integrating cutting-edge technologies with traditional agricultural science. The research shows increasing sophistication in plant phenotyping, with a particular emphasis on high-throughput systems, hyperspectral imaging, and AI-driven analysis. There's a clear interdisciplinary approach connecting plant science, data science, and engineering to develop innovative solutions for crop management, disease resistance, and resource efficiency in agricultural systems. Notable Projects: MATRIX project funded by the Novo Nordisk Foundation Nordic Public Private Partnership Plant Phenotyping Project Professor Christensen actively leads several high-impact collaboration platforms including Crop Innovation Denmark (involving four breeding companies and two universities), the Nordic-Baltic Plant Phenotyping Network (with more than 15 breeding companies, universities, and research organizations), and the Plant Biologicals Network (comprising more than 20 members from industries and universities in Denmark and Sweden). His leadership extends to numerous professional activities including service on the Danish Research Council for Technology and Production (2007-2013), coordination of the Collaborative Working Group on 'ICT and Robotics in Agriculture' under the European Commission, and participation in various expert groups related to agricultural technology and policy development.

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Yaovi Mahuton Gildas HounmanouView profile

Assistant Professor

University of CopenhagenDenmark

Yaovi Mahuton Gildas Hounmanou serves as an Assistant Professor in Veterinary Clinical Microbiology within the Department of Veterinary and Animal Sciences at the University of Copenhagen's Faculty of Health and Medical Sciences. His research spans pathogen genomics from animal and aquatic environments, climate change implications on disease transmission (particularly cholera and Vibrio infections), and solutions-oriented approaches using omics tools to reduce antimicrobial resistance in low- and middle-income countries. He additionally holds a Postdoctoral Affiliate position at the University of Abomey-Calavi in Benin. Dr. Hounmanou's research interests focus on microbial genomics, bioinformatics in microbiology, and One Health approaches to antimicrobial resistance surveillance. His work bridges veterinary medicine, environmental science, and public health, with particular emphasis on zoonotic disease transmission pathways and interventions for reducing antimicrobial use in resource-limited settings. His research methodology heavily incorporates advanced genomic and omics technologies to address complex health challenges at the human-animal-environment interface. His publication record shows significant recent activity with research spanning multiple continents including Denmark, Vietnam, Bangladesh, Colombia, and Benin. His work demonstrates strong international collaboration patterns, particularly with institutions in low- and middle-income countries where antimicrobial resistance presents critical public health challenges. The research output reveals consistent focus areas in pathogen genomics, antimicrobial resistance mechanisms, and environmental transmission pathways. Within his teaching portfolio, Dr. Hounmanou employs problem-based learning approaches within research-based teaching formats to deliver courses in Microbial Genomics, Bioinformatics in Microbiology, and One Health antimicrobial resistance surveillance. His pedagogical approach emphasizes practical application of genomic tools to real-world public health challenges, particularly those affecting resource-limited settings.

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Jan H. ChristensenView profile

Professor

University of CopenhagenDenmark

Jan H. Christensen is a Professor in the Department of Plant and Environmental Sciences at the University of Copenhagen's Faculty of Science, specializing in Environmental Chemistry and Physics. His research focuses on advanced analytical techniques for environmental contaminants, particularly using mass spectrometry and chromatography methods. His research interests span Environmental Chemistry , Mass Spectrometry , and Contaminant Analysis , with significant contributions in wastewater treatment, soil pollution, and natural product chemistry. Recent work examines contaminants of emerging concern in wastewater, phenolic compounds in shea nuts, and polycyclic aromatic hydrocarbons in soil systems. Analysis of his recent publications reveals strong emphasis on analytical method development for environmental monitoring, particularly in wastewater and food systems. His work combines advanced chromatographic techniques with mass spectrometry to address challenges in contaminant detection and natural product profiling. Professor Christensen actively participates in international conferences including SETAC Europe and symposia on polycyclic aromatic compounds. His research has practical applications in environmental protection, water treatment, and food science, particularly regarding West African shea nut processing. His professional activities include significant contributions to the Galathea 3 expedition and public outreach initiatives involving schoolchildren in scientific research. He maintains an active research profile with 203 documented research outputs including journal articles, book chapters, and conference presentations.

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Hans GottliebView profile

Associate Clinical Professor

University of CopenhagenDenmark

Hans Gottlieb serves as a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen, specializing in Orthopaedic Surgery with a clinical base at Blegdamsvej 3, 2200 Copenhagen N, Denmark. His research integrates Orthopaedic Surgery, Diabetes Management, and Bone and Joint Infections, focusing on diabetic foot osteomyelitis, limb-sparing surgical protocols (e.g., CLOSE-UP), and continuous glucose monitoring (CGM) for in-hospital diabetes care. He bridges surgical and metabolic disciplines to address infection complications in diabetic patients, emphasizing translational applications for clinical practice. Analysis of his 2025 publications reveals a dominant trend toward optimizing CGM-based insulin protocols in non-ICU settings, demonstrating superior outcomes over traditional point-of-care testing. His work also advances cross-disciplinary infection science through initiatives like COMBINE, targeting bacterial detection limitations and standardized bone/joint infection management. No scientific awards were documented in the source material. Gottlieb actively collaborates with inpatient diabetes teams and co-leads the DIATEC randomized controlled trial, though specific grant details remain unreported. No student advisees were listed in the provided texts. His research is anchored in the Department of Clinical Medicine's orthopaedic and diabetes units, driving protocols like CLOSE-UP for limb preservation and COMBINE for infection science collaboration.

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Troels Haxholdt LunnView profile

Associate Clinical Professor

University of CopenhagenDenmark

Troels Haxholdt Lunn serves as a Clinical Associate Professor at the Department of Clinical Medicine within the Faculty of Health and Medical Sciences, University of Copenhagen. He is actively affiliated with the Anaesthesiology department at Copenhagen University Hospital (Region H), where he conducts clinical research focused on optimizing perioperative pain management for orthopedic surgery patients. His research centers on anesthesiology and pain management , with specialized expertise in opioid-sparing protocols , NSAID safety , and multimodal analgesia for total hip and knee arthroplasty. Key investigations include persistent postsurgical pain reduction, dexamethasone's impact on morphine consumption, and adverse effects of ibuprofen in major orthopedic procedures. This work directly informs national Danish pain management guidelines. Analysis of his 2024-2025 publications reveals dominant trends in multicenter randomized trials (e.g., PERISAFE, RECIPE) and systematic reviews targeting evidence-based perioperative care. Over 80% of his recent output addresses orthopedic anesthesia, with strong emphasis on statistical validation of analgesic algorithms and clinical implementation of non-opioid strategies. Collaborations span Copenhagen University Hospital departments and international research teams.

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Helen Louise CouplandView profile

Researcher

University of CopenhagenDenmark

Helen Louise Coupland is a Guest Researcher at the Department of Public Health, University of Copenhagen, affiliated with the Section of Epidemiology and Copenhagen Health Complexity Center. Her work focuses on computational epidemiology and public health research using advanced modeling techniques. Her research spans multiple domains: Epidemiological Modeling: Developing computational frameworks for infectious disease transmission Public Health Analytics: Applying data science to health policy evaluation AI Applications: Utilizing deep learning for longitudinal health analysis Complex Systems: Investigating health through complexity science approaches Her publication record demonstrates extensive work in pandemic response analysis, particularly COVID-19 modeling across multiple countries and populations. Recent research explores the intersection of artificial intelligence and life course epidemiology, indicating a methodological evolution toward more complex computational approaches in public health. Her collaborative works frequently appear in high-impact journals including Science, Nature Communications, and The Lancet Global Health. Helen contributes to the Copenhagen Health Complexity Center, focusing on systems approaches to public health challenges. Her work involves large-scale collaborative projects analyzing epidemiological patterns across different geographic and demographic contexts.

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Søren Ingvor OlsenView profile

Associate Professor

University of CopenhagenDenmark

Søren Ingvor Olsen is an Associate Professor in the Department of Computer Science at the University of Copenhagen's Faculty of Science. His research focuses on Image Analysis, Computational Modelling, and Geometry within the broader field of Computer Science. He maintains an active research profile with numerous publications and collaborations across various application domains. Dr. Olsen received his academic training at the University of Copenhagen, where he earned both his Master's degree in 1984 and his PhD in 1988, both from the Department of Computer Science. His academic career at the same institution began as an Assistant Professor from 1988-1991, followed by his promotion to Associate Professor. He served as Head of the Department from 1996-1999 and has held various significant roles including Visiting Professor at University Blaise-Pascal in France (2006) and involvement with the E-Science Center at the Faculty of Science (2008). Professor Olsen's primary research areas span 3D Computer Vision, Image Analysis, and Pattern Recognition. His work is characterized by its interdisciplinary nature, combining theoretical foundations with practical applications. Recently, he has focused on applying computer vision techniques to real-world problems such as railway sign detection, agricultural weed mapping using drone technology, and automation in food processing industries. His research bridges the gap between fundamental computer vision algorithms and their implementation in diverse industrial settings, demonstrating strong translational research capabilities. Analysis of his recent publication record reveals a strong trend toward applying computer vision and machine learning techniques to environmental monitoring and precision agriculture. His work demonstrates expertise in drone-based imaging systems, deep learning for object detection, and the development of practical solutions for agricultural and transportation infrastructure challenges. The interdisciplinary nature of his research is evident in collaborations spanning environmental science, agricultural engineering, and transportation systems. Throughout his career, Professor Olsen has contributed significantly to academic development, notably being responsible for the creation and accreditation of a cross-faculty bachelor's program in Science and IT in 2009. While specific grant information isn't detailed in the available materials, his extensive publication record and international collaborations suggest successful research funding throughout his career. His work appears to involve substantial student mentorship, though specific advisees aren't named in the provided information. Professor Olsen's research appears to be conducted through the Image Analysis group within the Department of Computer Science at the University of Copenhagen. His work with drone technology and agricultural applications suggests collaborations with agricultural research institutions and potentially industry partners in the railway and food processing sectors. The practical orientation of his recent work indicates strong connections between his academic research and real-world industrial applications.

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