Find Academic Supervisors

• Orthopaedic Surgery
• Trauma Surgery
• Musculoskeletal Research
• +3 more

Arvind Gabriel Von Keudell serves as a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences, with clinical affiliations at Region Hovedstaden hospitals (Bispebjerg and Rigshospitalet) in Copenhagen. His dual academic-hospital appointment focuses on advancing orthopaedic trauma care through rigorous clinical research and surgical innovation. His research program centers on fracture epidemiology, skeletal muscle physiology, and psychosocial dimensions of orthopaedic care. Key interests include clavicle and tibial plateau fractures, non-traumatic compartment syndrome, elder abuse identification, and mental health in trauma patients. He pioneers methodologies using Danish National Patient Registry data for large-scale epidemiological studies while exploring cutting-edge applications of artificial intelligence in surgical research and education. Analysis of his 21 recent publications reveals a strategic focus on improving trauma outcomes through evidence-based practice. His work bridges sports medicine, surgical trauma, and geriatric orthopaedics, with notable trends in leveraging national registries for incidence tracking, developing screening tools for vulnerable populations, and critically evaluating AI's role in orthopaedic science. The 2023 study on large language models generating orthopaedic articles demonstrates his forward-thinking approach to technological disruption in medical publishing. No scientific awards were documented in the provided materials. While grant details remain unspecified, his extensive multi-center collaborations across Denmark and international networks indicate significant research funding. The absence of student advisement records suggests primary focus on independent or team-based research rather than formal mentorship. His work shows strong institutional ties to Copenhagen's orthopaedic trauma centers without explicit lab affiliations, emphasizing clinical registry analysis and collaborative surgical innovation.

Frans van der SluisView profile

Associate Professor

• human-information interaction
• human interest and curiosity
• epistemic emotions
• +4 more

Frans van der Sluis serves as an Associate Professor in the Department of Communication at the University of Copenhagen, where he conducts interdisciplinary research at the intersection of human cognition and information systems. His work focuses on designing search and filtering technologies that align with human learning processes and curiosity-driven exploration. Education: BSc in Psychology (2006) BSc in Business Information Technology (2006) MSc in Psychology (2008) PhD in Interactive Information Retrieval and Filtering (2013) Van der Sluis investigates how information systems can be optimized to transform raw data into meaningful knowledge through understanding epistemic emotions, user uncertainty, and cognitive processing during information interactions. His methodology frequently incorporates eye-tracking and empirical user studies to measure comprehension, interest, and engagement beyond traditional accuracy metrics. Analysis of his recent publications (2023-2025) reveals a consistent trajectory toward conversational approaches in information quality assessment, with growing applications in sustainability domains like wind energy training networks and ethical consumer behavior. His work bridges theoretical HCI frameworks with practical implementations across diverse contexts from social media to specialized research environments. No scientific awards were documented in the source materials. While specific advising details remain unspecified, his collaborative projects—including the EU-funded Train2Wind initiative for offshore wind power researchers—demonstrate active grant management and cross-institutional leadership. His professional network spans major European universities and industry research centers. Van der Sluis maintains active collaborations with University of Twente, Glasgow University, Leiden University, and industrial partners including Philips' Innovation Lab, reflecting his position at the nexus of academic research and real-world information system design.

Michael Bachmann NielsenView profile

Clinical Professor

• Radiology
• Medical Imaging
• Artificial Intelligence Applications
• +3 more

Michael Bachmann Nielsen, DMSc, PhD, serves as a Clinical Professor in the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences, maintaining dual affiliations with the Radiology department and Capital Region of Denmark (Region Hovedstaden) at Blegdamsvej addresses in Copenhagen. His active clinical-academic role bridges medical practice and research innovation. His research program focuses on: AI-driven optimization of medical imaging workflows Advanced ultrasound techniques including super-resolution vascular imaging Clinical applications in neuroimaging, oncology, and pediatric diagnostics Machine learning for radiology report analysis and protocol adaptation Recent publications demonstrate significant contributions to MRI protocol refinement, tumor volume delineation, and contrast-free microvascular imaging. His work consistently appears in high-impact journals like European Journal of Radiology and Scientific Reports, emphasizing practical clinical translation of imaging technologies through cross-disciplinary collaboration. Nielsen's extensive publication record (291 outputs) reflects leadership in adapting artificial intelligence to radiology practice, with particular emphasis on workflow efficiency and diagnostic accuracy across diverse clinical scenarios.

• Educational Technology
• Artificial Intelligence in Education
• Higher Education Pedagogy
• +3 more

Ulrik Kragh Hansen serves as a Teaching Assistant Professor in the Department of Geosciences and Natural Resource Management at the Forest and Landscape College, University of Copenhagen, based in Fredensborg. His research centers on educational technology and artificial intelligence applications in higher education, with a specific focus on integrating AI chatbots as co-pilots during practical teaching activities. This work bridges geosciences education with innovative pedagogical strategies, emphasizing hands-on learning enhancement in science disciplines. Recent publications highlight a clear trend toward leveraging AI tools to transform traditional teaching methods, particularly in experiential learning environments within university science programs.

• Colorectal Cancer
• Surgical Oncology
• Postoperative Care
• +5 more

Lars Nannestad Jørgensen serves as Clinical Professor at the Department of Clinical Medicine, University of Copenhagen, with clinical affiliations at Bispebjerg Hospital (Bispebjerg Bakke 23) and Rigshospitalet (Blegdamsvej 3) in Copenhagen. His dual appointment bridges surgical practice and academic research within Denmark's public healthcare system, focusing on gastrointestinal malignancies and perioperative care. His research program centers on translational surgical oncology, particularly colorectal cancer screening optimization through liquid biopsy technologies and fecal immunochemical testing. Key investigations include postoperative monitoring systems for early complication detection, cost-effectiveness analyses of cancer screening programs, and novel biomarker discovery in pancreatic cancer. Recent work explores the intersection of artificial intelligence and medical education, examining large language model applications in surgical research. Analysis of his 2024-2025 publications reveals strong emphasis on colorectal cancer diagnostics (62.5% of recent work), with significant contributions to perioperative monitoring technology and healthcare economics. Emerging trends include integration of circulating tumor DNA in screening protocols and rigorous evaluation of AI tools for surgical research abstract generation. His extensive publication record (256 outputs including 223 journal articles) demonstrates substantial collaborative networks across Danish hospitals and international institutions. Social media impact is notable with 18 X (Twitter) mentions for his colorectal cancer cost study and 40 Mendeley readers for his pancreatic cancer biomarker research, indicating significant clinical relevance.