جست‌وجوی استاد و پژوهشگر

Lorenzo Dall'Amicoمشاهده پروفایل

عضو هیئت علمی

• Network science
• Temporal networks
• Machine learning
• +۱۳ مورد دیگر

Lorenzo Dall'Amico is a Postdoctoral Researcher at ISI Foundation in Turin, Italy, and an assistant professor at the University of Torino, where he teaches a course on complex networks. He is a key member of the research team led by Professor Ciro Cattuto, focusing on the analysis of complex, temporal, and proximity networks with applications in epidemiology, social sciences, and human behavior modeling. PhD in Signal, Image, Speech, and Telecommunications, 2021 – Université Grenoble Alpes Master in Physics of Complex Systems, 2018 – Politecnico di Torino M2 in Physics of Complex Systems, 2018 – Paris Sud (XI) BSc in Physical Engineering, 2016 – Politecnico di Torino His research lies at the intersection of statistical physics, mathematics, and computer science. He develops interpretable representations of high-dimensional network data, with a particular focus on temporal and proximity networks. His work has significant applications in epidemic modeling, public health, and social dynamics. He is deeply involved in interdisciplinary projects such as COVID-19 Real Time Epidemiology and Periscope , both aimed at improving pandemic response through data-driven modeling. His recent publications span top journals including Nature Communications , Science Advances , and Physical Review E , with themes centered around temporal graph embeddings, community detection in dynamic graphs, and the integration of socioeconomic factors into epidemic models. He has developed the open-source Julia package CoDeBetHe.jl for efficient spectral community detection in static and dynamic graphs, which is widely used in network science research. His scientific contributions include: Development of embedding-based distances for temporal graphs Creation of generalized contact matrices for improved epidemic modeling Efficient algorithms for distributed representations using SoftMax normalization Analysis of household and school-based contact patterns in disease transmission Lorenzo actively mentors through open science practices, releasing code and datasets alongside his publications. He has advised or collaborated with researchers across disciplines, contributing to projects funded by the Botnar Foundation. His work emphasizes data for good , applying advanced network science to real-world public health challenges. He leads and contributes to research teams focused on digital epidemiology and network-based modeling, leveraging high-resolution proximity data from projects like SocioPatterns. His future work aims to further bridge theoretical network science with practical applications in public health policy and intervention design.

Horst Bischofمشاهده پروفایل

استاد

• Computer Vision
• Pattern Recognition
• Object Recognition
• +۷ مورد دیگر

Horst Bischof is Rector and Professor at Graz University of Technology, affiliated with the Institute for Computer Graphics and Vision in the Faculty of Computer Science. He is an active academic leader, currently serving as Treasurer and previously as Vice Rector for Research. He is also a board member of the Fraunhofer Institute for Graphical Data Processing (IGD) and the scientific board of Joanneum Research. His research focuses on computer vision and pattern recognition, with key interests in object recognition, visual learning, motion and tracking, visual surveillance, biometrics, medical computer vision, and adaptive methods. His work bridges theoretical advances with real-world applications in security, healthcare, and intelligent systems. The recent publications (2010–2025) demonstrate a consistent trajectory in computer vision, emphasizing deep learning, neural networks, image analysis, and pattern classification. His work spans subfields such as medical imaging, surveillance, biometrics, and adaptive vision systems, reflecting both technical depth and interdisciplinary impact. Scientific Awards: 29th Pattern Recognition Award (2002) Main Prize of DAGM (2007) Main Prize of DAGM (2012) Best Scientific Paper Award at BMCV (2007) BMVC Best Demo Award (2012) Best Scientific Paper Award at ICPR (2008) Best Scientific Paper Award at ICPR (2010) Best Scientific Paper Award at PCV (2010) Best Scientific Paper Award at AAPR (2010) Best Scientific Paper Award at ACCV (2012) Horst Bischof has advised numerous students and researchers, though specific names are not listed. He has served in leadership roles in major conferences including CVPR (General Chair 2015), ECCV (Program Co-Chair 2006), and DAGM/ÖAGM (Chair 2012), and as Area Chair for top vision conferences. He is an Associate Editor for IEEE TPAMI, Pattern Recognition, and other leading journals. His research has been supported by extensive grants, though specific funding sources are not detailed. He leads research activities at the Institute for Computer Graphics and Vision, contributing to collaborative projects and international initiatives in computer vision and AI.

Laura Sirucekمشاهده پروفایل

پژوهشگر ارشد

• Chronic Pain
• Neuroscience
• Pain Neuroplasticity
• +۹ مورد دیگر

Laura Sirucek is a Postdoctoral Fellow at the Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Denmark. She works at the Center for Neuroplasticity and Pain (CNAP), focusing on pain neuroplasticity research. Her work integrates various methodologies including magnetic resonance spectroscopy, psychophysics, and transcranial magnetic stimulation combined with electroencephalography to better understand chronic pain mechanisms. Dr. Sirucek completed her educational journey at the University of Zurich, earning a Bachelor of Science in Biology (2016), a Master of Science in Biomedicine (2018), and a PhD in Neuroscience (2023). Her doctoral research focused on "Spinal and Supraspinal Sensitization in Chronic Pain – Chasing Mechanisms." She also serves as Co-Chair of the IASP Early Career Network Communication Committee for the International Association for the Study of Pain. Dr. Sirucek's research primarily centers on chronic pain mechanisms, with special emphasis on chronic low back pain and Complex Regional Pain Syndrome. Her work investigates endogenous pain modulation systems, particularly conditioned pain modulation and descending pain pathways. She employs advanced neuroimaging techniques like magnetic resonance spectroscopy to examine neurotransmitter dynamics in pain-relevant brain regions such as the periaqueductal gray. Her research also explores pain phenotyping, sensory profiling, and the identification of biological subgroups in chronic pain conditions to advance personalized medicine approaches. Her publication record demonstrates a consistent focus on pain mechanisms and assessment methodologies. Recent work examines neurotransmitter dysregulation in chronic pain, methodological improvements in brainstem imaging, and the identification of biological subgroups in pain conditions through transcriptomic profiling. Her research bridges basic neuroscience with clinical applications, aiming to improve pain diagnosis and treatment through a better understanding of underlying mechanisms. Dr. Sirucek actively contributes to the pain research community through her role with the IASP Early Career Network. While specific grant information isn't detailed in the provided materials, her extensive publication record across multiple high-impact journals suggests successful research funding. She collaborates with researchers across institutions, particularly with Petra Schweinhardt's lab at Aalborg University and researchers at the University of Zurich. Her work is conducted primarily through the Center for Neuroplasticity and Pain at Aalborg University, where she is part of a multidisciplinary team investigating pain mechanisms using advanced neuroimaging, psychophysical testing, and molecular approaches. Her recent work on transcriptomic profiling indicates expanding research into the molecular underpinnings of pain conditions.

Christian Fischer Pedersenمشاهده پروفایل

دانشیار

• Signal processing
• Machine learning
• Distributed systems

Christian Fischer Pedersen is an Associate Professor at the Department of Electrical and Computer Engineering , Aarhus University School of Engineering. His research focuses on signal processing, machine learning, and distributed systems, with applications in biomedical engineering and industrial diagnostics. Signal processing for healthcare and mechanical systems Machine learning applied to survival analysis and text mining Distributed systems for medical and industrial applications Recent publications highlight his work in explainable AI for pediatric arthritis detection, probabilistic neural networks for survival analysis, and MEMS sensor applications in mechanical diagnostics. His projects include European collaborations like the PRECISE fall-risk prevention initiative. Contact: cfp@ece.au.dk

Eva Arnspang Christensenمشاهده پروفایل

دانشیار

• Biophysics
• Molecular Biophotonics
• Super-resolution Microscopy
• +۵ مورد دیگر

Eva Arnspang Christensen is Associate Professor and Head of the Biotechnology Section at the University of Southern Denmark (SDU), Faculty of Engineering, Department of Green Technology. She also leads the Molecular Biophotonics research group and is an elected member of the Danish Board on Research Misconduct and evaluator for Marie Skłodowska-Curie fellowships. Education Ph.D. in Biophysics, University of Southern Denmark (2010) M.Sc. in Molecular Biology & Physics, University of Southern Denmark (2005) B.Sc. in Molecular Biology, University of Southern Denmark (2003) Research Focus Eva’s work integrates advanced optical microscopy—super-resolution, single-molecule and coherent Raman imaging—with quantitative biophysical analysis to decode membrane organization and receptor dynamics in living cells. She investigates nanoscale lipid domains, G-protein coupled receptors such as the angiotensin II type-1 receptor, and the cellular uptake of nanoparticle drug-delivery systems. Her recent projects extend to label-free chemical imaging of lignocellulosic biomass and epigenetic diagnostics of cancer via methylation-specific qPCR. Publication Trends Since 2021 her 15 most-cited articles revolve around three converging themes: (i) super-resolution mapping of membrane protein nano-organization, (ii) development of optical tools for cancer diagnostics (microsatellite instability, DNA methylation), and (iii) biophysical characterization of therapeutic nanoparticles and bioactive compounds. These works showcase a trajectory from fundamental membrane biophysics to translational applications in oncology and biotechnology. Awards & Honours Villum Young Investigator Grant (DKK 8.1 million, 2018) Carlsberg Postdoctoral Fellowship (2014) FNU Sapere Aude Young Elite Researcher Grant (2013) European Biophysics Congress Poster Prize (2007) Spectral Conflict Competition Winner, Marine Biological Laboratory (2007) Grants & Supervision Eva has attracted > DKK 12 million in competitive funding and currently supervises several post-doctoral researchers and PhD students within the Molecular Biophotonics group. In 2019 she co-designed new BSc and MSc programmes in chemical engineering and biotechnology at SDU. Teaching & Outreach She is programme coordinator and founder of the cross-institutional PhD course “Fluorescence and Photonics” (5 ECTS) and the national MSc course “Bioimaging” (9 ECTS). She has taught first-year physics, biology and mathematics for science and engineering students since 1999 and participates in high-school outreach and media engagement (>40 press contributions).

Victoria Laura Antociمشاهده پروفایل

پژوهشگر

• Stellar Astrophysics
• Exoplanet Research
• Magnetic Field Studies
• +۳ مورد دیگر

Victoria Laura Antoci is a Senior Researcher at the Department of Space Research and Technology, Technical University of Denmark (DTU), specializing in stellar astrophysics with a focus on magnetic fields and pulsation phenomena. Her work bridges observational astronomy and theoretical modeling. Her research centers on stellar pulsation mechanisms in intermediate-mass stars, particularly Ap stars and roAp stars. Key interests include: Magnetic field interactions with stellar oscillations Analysis of TESS and Gaia mission data for variable stars Exoplanet detection through stellar variability signatures Light curve modeling of 'hump and spike' features Recent publications reveal strong emphasis on magnetic phenomena in A/F-type stars , with growing applications to exoplanet research. Her work increasingly integrates satellite mission data (TESS, Gaia) with ground-based observations to resolve stellar surface features. As Principal Investigator and supervisor, she leads significant projects including the ERC Consolidator Grant MAGNIFY and the STEP-STONE satellite simulator initiative. Her supervisory role includes PhD candidates investigating magnetic field effects on stellar pulsations.

• Hereditary Angioedema
• Angioedema
• Genetics
• +۵ مورد دیگر

Anette Bygum is a Clinical Professor at Karolinska Institutet and a Guest Researcher at the Research Unit for Human Genetics and Clinical Genome Center at Odense University Hospital. She specializes in hereditary angioedema, genetic disorders, and dermatology, with a focus on clinical-genetic correlations and medical education. 2001: Communication course (Medical Association for Aarhus County) 2002: Communication course, teacher's personal style (University of Southern Denmark) 2011: Supervisor course (Region of Southern Denmark) Her academic roles include sub-course leadership in genodermatoses/pediatric dermatology since 2006 and Chief Physician at Odense University Hospital (2010-2015). She has taught medical students in Modules K1, K8, K12, and K14 since 2001. Her recent publications focus on genetic screening in skin disorders, obesity impacts on biologic therapy outcomes, and standardized treatment protocols for hereditary angioedema. She actively participates in peer review for journals like The Lancet and Journal of the European Academy of Dermatology and Venereology . 2023: University of Southern Denmark Innovation Award 2020: Publication Prize 2018: Deputy Editor 2017: Danish Dermatological Society Honorary Fellowship Bygum has supervised 37 master's theses, 3 completed PhD projects, and currently mentors 6 PhD candidates. Her educational methods include case-based teaching, clinical demonstrations, and digital exam development.

Mikael Palnerمشاهده پروفایل

دانشیار

• Nuclear medicine
• Pharmacology
• Development of new drugs
• +۵ مورد دیگر

Mikael Palner is an Associate Professor in the Department of Clinical Research at Odense University Hospital, with affiliations at Karolinska Institute (KI) and Rigshospitalet since November 2016. He specializes in translational pharmacology, neurobiology, and nuclear medicine with particular expertise in preclinical PK/PD, in vivo imaging, and behavioral pharmacology. Primary Affiliation: Department of Clinical Research, Odense University Hospital Additional Affiliation: Rigshospitalet (since 2016) Academic Affiliation: Karolinska Institute His research focuses on neuropsychiatric diseases including anxiety, obsessive-compulsive disorder, and post-traumatic stress syndrome, with special interest in psychedelic drug action and novel treatment options. He has developed significant expertise in: Translational pharmacology In vitro kinetics Animal models Neuroreceptor imaging Stress resilience mechanisms Metabolic connectivity mapping The 15 most recent publications reveal a strong focus on psychedelic drug mechanisms, particularly psilocybin and DMT, with emphasis on: 5-HT2A receptor dynamics Neuroplasticity modulation Stress response systems Cognitive flexibility changes Metabolic pathway interactions Novel imaging probe development Mikael Palner maintains active engagement in public outreach and scientific communication, appearing in documentaries and serving as a media expert on psychedelic research and neuropsychiatric treatment options.

• Osteoporosis
• Fracture Risk Assessment
• Clinical Research
• +۳ مورد دیگر

Kasper Westphal Leth is a researcher at the Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, with affiliations to Odense University Hospital (OUH), Karolinska Institutet (KI), and the Research Unit OPEN in Odense. His work focuses on osteoporosis, fracture risk assessment, and pharmacovigilance related to bone health and bisphosphonate therapies. University: University of Southern Denmark Department: Department of Clinical Research Research interests include bone metabolism , atypical femoral fractures , and predictive modeling for osteoporotic fracture risk. He utilizes the FREM algorithm with register-based data and self-reported clinical factors to enhance prediction accuracy in postmenopausal women. His pharmacology expertise spans lipoprotein analysis , coronary artery calcification , and HDL-cholesterol dynamics . Leth actively contributes to international collaborations, including radiographic reclassification of fractures and cancer comorbidity studies. He participates in major conferences like the European Calcified Tissue Society and European Congress of Radiology . His recent publications focus on bisphosphonate safety, fracture classification, and machine learning in fracture risk prediction. Email: kleth@health.sdu.dk

Smith Khareمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Smith Khare is an Assistant Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark, specializing in Applied AI and Data Science. He is affiliated with the Centre for Clinical AI (CAI-X) in Odense and contributes to healthcare analytics through interdisciplinary research. Ph.D. in Electronics and Communication Engineering (2022) from IIITDM Jabalpur M.Tech in Electronics and Telecommunication Engineering (2015) from Veermata Jijabai Technological Institute His research focuses on explainable AI, deep learning, and signal processing for healthcare applications. Key areas include medical imaging, neurological disorder detection, and biomedical signal analysis. His work integrates AI with clinical diagnostics to improve early disease identification. Smith’s recent publications emphasize explainable AI in cervical cancer screening, liver segmentation, and neurological conditions like Alzheimer’s and Parkinson’s. He combines deep learning with optimization algorithms and hardware implementation for medical IoT systems. Best Paper Award, IEEE Sensors Journal (2024) He teaches courses such as Artificial Intelligence for Healthcare Data and Tools of Artificial Intelligence , and mentors students in AI-driven healthcare projects. His collaborations span institutions like Karolinska Institute (KI) and Odense University Hospital (OUH).

• Urban Remote Sensing
• Land Cover Change Analysis
• Ecosystem Services Assessment
• +۳ مورد دیگر

Theodomir Mugiraneza is a Postdoctoral Researcher at the Department of Geosciences and Natural Resource Management within the Faculty of Science at the University of Copenhagen. His research focuses on urban environmental monitoring in Rwanda using advanced satellite remote sensing techniques. His primary research interests include Urban Remote Sensing , Land Cover Change Analysis , and Ecosystem Services Assessment , with specialization in applying deep learning to Sentinel-2 and Landsat data for urban growth monitoring in Kigali. His work integrates geospatial cloud computing platforms like Google Earth Engine for spatiotemporal analysis of urbanization patterns. Analysis of his publication trends (2014-2023) reveals consistent focus on urban land cover dynamics in East Africa , evolving from basic Landsat analysis to deep learning approaches. His research bridges geospatial technology with urban sustainability challenges, particularly examining environmental impacts of rapid urbanization in Kigali through ecosystem service bundles and land cover change trajectories. Mugiraneza maintains active research collaborations across international institutions, with publications appearing in high-impact journals including Remote Sensing and International Journal of Applied Earth Observation and Geoinformation . His work demonstrates significant real-world impact with citations in policy documents and Wikipedia pages. His research infrastructure leverages advanced geospatial computing environments, including Google Earth Engine cloud platform for processing large-scale satellite time series. Current projects focus on integrating multi-source satellite data with census information for urban population mapping using deep learning architectures.

Zaigham Saghirمشاهده پروفایل

دانشیار بالینی

• Respiratory Medicine
• Lung Cancer Screening
• Pulmonary Nodule Analysis
• +۳ مورد دیگر

Zaigham Saghir serves as a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences. His clinical role as a Consultant at Copenhagen University Hospital (Region H) is based at Gentofte Hospitalsvej 1 in Hellerup, with academic affiliation to the Blegdamsvej campus in Copenhagen. His dual appointment bridges clinical respiratory medicine with academic research, focusing on translational applications in thoracic oncology. Dr. Saghir's research centers on lung cancer screening optimization , pulmonary nodule management , and AI integration in thoracic imaging . His work explores the intersection of deep learning algorithms with clinical decision-making, particularly in risk stratification for pulmonary nodules and post-treatment surveillance. Recent publications demonstrate expertise in validating AI models against European screening data and developing safety mechanisms for out-of-distribution detection in medical imaging systems. His research program addresses critical gaps in lung cancer early detection through both technological innovation and population health approaches. Analysis of his 28 research outputs (2023-2025) reveals strong emphasis on translational respiratory oncology with three dominant threads: (1) AI-driven pulmonary nodule assessment (40% of recent work), (2) lung cancer screening program design (30%), and (3) post-treatment surveillance protocols (30%). His publications consistently bridge computational methods with clinical implementation challenges, particularly within the Danish healthcare context. Notable collaborations include the NELSON-POP consortium and SUPE_R Study Group, indicating leadership in European multicenter trials. His research is supported through clinical-academic channels at Copenhagen University Hospital and the University of Copenhagen, with evidence of participation in major European trials. The collaborative network spans radiology, respiratory medicine, oncology, and medical informatics departments across multiple Danish hospitals.

• Neuropsychology
• Cognitive deficits in neurodegenerative diseases
• Dementia research
• +۵ مورد دیگر

Asmus Vogel serves as an Associate Professor in the Department of Psychology within the Faculty of Social Sciences at the University of Copenhagen. His research focuses on cognitive deficits in neurodegenerative diseases, particularly examining memory, executive functions, and attention in dementia conditions. His primary research interests include: Neuropsychological functions in Alzheimer's disease and Mild Cognitive Impairment Cognitive testing validation for memory clinics Huntington's disease cognitive deficits and personality changes Association between hearing loss and cognitive dysfunction Subjective Cognitive Decline in aging populations Development of Danish cognitive tests for dementia diagnosis Dr. Vogel's recent publications demonstrate strong focus on biomarker research, dementia diagnostics, and longitudinal studies of neurodegenerative conditions. His work spans Alzheimer's disease, dementia with Lewy bodies, and Huntington's disease, with particular emphasis on developing and validating cognitive assessment tools for Danish clinical settings. Recent studies examine tau protein biomarkers, social cognition predictors, and imaging signs for differential diagnosis. He actively collaborates with the Danish Dementia Research Centre, which integrates patient care, clinical research, and national educational services. His research has received attention through news outlets, academic blogs, and substantial readership on platforms like Mendeley.

• Phytoplankton ecology
• Diatom research
• Dinoflagellate research
• +۵ مورد دیگر

Marianne Ellegaard serves as an External Lecturer at the Department of Science Education, University of Copenhagen. Her work bridges marine biology research with science education, focusing on phytoplankton ecology and algae applications. She maintains an active research profile with numerous publications and participates in several significant research projects. Dr. Ellegaard's research interests center on the diversity, ecology, and applications of algae, particularly phytoplankton including diatoms and dinoflagellates. Her work spans fundamental biological research, biophotonics applications, and environmental monitoring. She investigates how these microscopic organisms interact with light, respond to environmental changes, and can be utilized in technological applications. Her research also extends to science education methodology, examining effective feedback mechanisms in higher education settings. Analysis of her publication record reveals strong interdisciplinary connections between marine biology, optics, and environmental science. Her work demonstrates expertise in both fundamental phytoplankton research and practical applications, with significant contributions to understanding diatom photonics, sediment DNA archives, and phytoplankton responses to environmental change. The research output shows consistent productivity with collaborations across multiple institutions and disciplines. Dr. Ellegaard actively participates in several major research initiatives including the ALgae PHotonics Applications (ALPHA) project, the NordForsk network Prodiversa, an FNU project studying glacier dynamics in Greenland, and the Carlsberg-funded ArcGen project examining phytoplankton evolution in Arctic fjords. Her teaching portfolio includes Applied Marine Biology, Algae Biotechnology, and science education methodology courses. Her educational contributions focus on developing teaching methods and curricula within the Department of Science Education. While specific advising relationships aren't detailed in the available information, her research collaborations suggest engagement with graduate students and postdoctoral researchers across her various projects.

• Malaria Research
• Pregnancy Outcomes
• Foetal Growth
• +۵ مورد دیگر

Christentze Schmiegelow serves as an Associate Professor and Part-time lecturer in the Department of Immunology and Microbiology at the Centre for Medical Parasitology (CMP), University of Copenhagen's Faculty of Health and Medical Sciences. Her research primarily investigates the association between malaria/anaemia and poor pregnancy outcomes, with special focus on altered foetal growth trajectories assessed through transabdominal ultrasound. She leads the FOETALforNCD project, a preconceptional and pregnancy cohort study in Tanzania, and serves as co-investigator in the EDCTP-funded IMPROVE study examining intermittent preventive treatment for malaria in pregnancy across Malawi, Kenya, and Tanzania. Dr. Schmiegelow's research interests center on maternal-fetal health in resource-limited settings, particularly examining how malaria exposure, antimalarial drug resistance, and antibody levels affect foetal development. Her work integrates clinical obstetrics with epidemiological methods to address critical gaps in understanding pregnancy complications in malaria-endemic regions. She has developed expertise in ultrasound assessment of foetal growth and longitudinal cohort studies in African settings. Her recent publications reveal a strong focus on vulnerable newborns, neonatal mortality risk factors, and the impact of maternal conditions like anaemia and gestational diabetes on pregnancy outcomes in Tanzanian populations. The research spans multiple disciplines including maternal-fetal medicine, infectious disease epidemiology, and global health implementation science. Dr. Schmiegelow has presented her work at numerous international conferences including the GAIA Consensus Conference in Washington, Developmental Origins of Health and Disease in South Africa, and the Kilimanjaro PhD Symposium in Tanzania. She has received training in Good Clinical Practice, advanced obstetric emergency management, and ethics of health research in resource-poor settings. As an educator, she has co-supervised 4 PhD, 10 master's, and 1 bachelor's students. Fluent in Danish (native), English, and with intermediate Swahili proficiency, she maintains strong research connections with Tanzanian institutions.