Find Academic Supervisors

• Endoscopic ultrasound
• Endobronchial ultrasound
• Gastroenterology
• +6 more

Peter Vilmann is a Clinical Professor at the Department of Clinical Medicine, University of Copenhagen, where he has been a Full Professor of Endoscopy at Copenhagen University Hospital Herlev since 2010. He leads an Excellence Center for EUS (Endoscopic Ultrasound) and CLE (Confocal Laser Endomicroscopy) in Europe, which became operational in September 2012. His academic journey includes training at various Danish hospitals (1982-1993), positions at Herlev Hospital and Rigshospitalet, and a long tenure at Gentofte Hospital where he served as Overlæge (1995-2009) and Scientific Lecturer (2005-2010). MD (cand.med), University of Copenhagen (1981) Specialization in Gastroenterology (1994) and Surgery (1993), University of Copenhagen MD.Sc (dr.med A-disputats), University of Copenhagen (1998) Honoris Causa, University of Medicine and Pharmacy Craiova, Romania (2011) Professor Vilmann pioneered EUS with linear transducers and was the first in the world to perform EUS-guided fine needle biopsy (1991). His research focuses on advanced endoscopic techniques including EUS, EBUS, NOTES, CLE, and EUS-guided therapeutic interventions. He has made significant contributions to EUS-FNA procedures, EUS-guided pseudocyst drainage, bile duct drainage, and non-anesthesiologist propofol sedation (NAPS) programs. His work bridges diagnostic and therapeutic applications in gastrointestinal endoscopy with particular emphasis on pancreatic and biliary interventions. His recent publications (2023-2025) demonstrate continued innovation in pancreatic tumor ablation, virtual reality for colonoscopy training, advanced sedation techniques, and the integration of EUS with novel imaging technologies. The research consistently focuses on improving diagnostic accuracy, procedural safety, and developing minimally invasive alternatives to surgery for gastrointestinal conditions. Scientific Recognition: The Swedish Society of Medicine Jubileumspriset (1999) Copenhagen county employee Idea Prize (2005) Doctor Honoris Causa from University of Medicine and Pharmacy Craiova, Romania (2009) Primary Doctors at Gentofte Hospital Honorary award (2011) Visiting Professorship in Chandigarh, India (2011) Herlev Hospitals High Impact prize (2011) Professor Vilmann has secured substantial research funding including grants from The A.P. Møller and Chastine Mc-Kinney Møller Foundation ($387,045), Arvid Nilssons Foundation ($324,875), Toyota Foundation ($63,170), The Jochum Foundation ($90,243), and Aase and Ejnar Danielsen Foundation ($27,073). He serves on editorial boards for several prestigious journals including Endoscopy and Endoscopic Ultrasound, and has been instrumental in developing guidelines through the European Society of Gastrointestinal Endoscopy (ESGE) Guideline Committee. His endoscopy center at Herlev Hospital functions as a clinical and translational research environment with state-of-the-art equipment for EUS and CLE. The center supports numerous international multicentric studies including research on EUS-guided gallbladder drainage, needle-based CLE for pancreatic masses, and characterization of Crohn's disease using CLE technology.

Cristian LinteView profile

Professor

• Medical Imaging
• Image-guided Interventions
• Cardiac Biomechanics
• +7 more

Cristian Linte is a Professor in the Department of Biomedical Engineering at the Kate Gleason College of Engineering at Rochester Institute of Technology (RIT), with additional appointment as Program Faculty in the School of Mathematics and Statistics. His academic journey began with a BASc in Mechanical and Materials Engineering at the University of Windsor in Canada, followed by MESc and Ph.D. degrees in Biomedical Engineering from the University of Western Ontario. Prior to joining RIT, he completed a post-doctoral fellowship at the Biomedical Imaging Resource at Mayo Clinic in Rochester, MN, which transitioned into a research-track academic appointment as Assistant Professor of Biomedical Engineering in 2014. BS, University of Windsor (Canada) MESc, University of Western Ontario (Canada) Ph.D., University of Western Ontario (Canada) Dr. Linte's research focuses on medical imaging, image-guided interventions, and cardiac biomechanics, with particular emphasis on developing computational tools for cardiac function assessment, ablation therapy monitoring, and surgical navigation. His work integrates advanced imaging techniques with computational modeling to create novel diagnostic and therapeutic approaches in cardiovascular medicine. He has pioneered methods for cardiac wave dynamics reconstruction, myocardial active stress visualization, and AI-based segmentation of cardiac structures from medical images. His publication record demonstrates consistent contributions to cardiac biomechanics and medical imaging, with recent work emphasizing deep learning applications in cardiac MRI analysis, surgical instrument segmentation, and abdominal aortic aneurysm assessment. The research trends show a progression from foundational work in medical visualization and image registration toward increasingly sophisticated computational approaches for cardiac function assessment and intervention guidance. IEEE Region 1 Award for Outstanding Teacher/Scientist in Biomedical Engineering (2018) Best Student Paper Award at MICCAI 2017 Workshop on Augmented Environments Multiple NSF-funded research projects in cardiac imaging and ablation therapy Dr. Linte actively mentors graduate students and has developed several interactive didactic modules for biomedical engineering education. His laboratory focuses on creating virtual platforms for surgical planning, cardiac function assessment, and medical image visualization. Current projects include developing non-invasive technology to assess cardiac tissue response to thermal energy for ablation therapy monitoring, funded by the National Science Foundation.

Cédric WemmertView profile

Professor

• Data Science
• Machine Learning
• Computer Vision
• +4 more

Cédric Wemmert is a Full Professor in Computer Science at the University of Strasbourg, where he heads the SDC team at the ICube laboratory (Engineering, Computer and Imaging Sciences Laboratory). He is a member of CNU 27 and teaches in the Computer Science department of the Technology Institute Robert Schuman. His research focuses on Data Science and Machine Learning , with key applications in: Digital Pathology (colon cancer, renal diseases) Air Pollution Modeling Network Analysis His recent publications demonstrate a strong trend in applying deep learning to histopathological image analysis, with contributions in stain invariant segmentation, virtual stain transfer, and colon cancer classification. His work bridges computer science and medicine, resulting in high-impact publications in journals like Knowledge-Based Systems and Artificial Intelligence in Medicine. Professor Wemmert actively supervises PhD researchers: Current PhD students: 4 Graduated PhD students: 11 His research is funded by: ANR (TURFU-Net, HistoGraph, AIR&D, CHOICED) INSERM (MAIA, IMPULSE) Regional bodies (ReSP-Ir, Grand-Est) He leads the SDC team at ICube, which develops machine learning and computer vision techniques for health, environmental, and urban infrastructure applications.

• Liver Pathology
• Liver Transplantation Pathology
• Hepatopancreatobiliary Pathology
• +4 more

Ayşe Armutlu, M.D. is an Attending Physician and Specialist in the Department of Pathology at Koç University since 2016. She completed her medical education and pathology residency at Gazi University Faculty of Medicine (2002–2014) and advanced training in liver pathology at Indiana University (2018). Her clinical focus includes Liver Pathology , Hepatopancreatobiliary Pathology , and Uropathology . Medical Doctorate , Gazi University School of Medicine (2002–2009) Medical Pathology Residency , Gazi University Department of Medical Pathology (2009–2014) Observer in Pathology , Indiana University Department of Pathology (2018) Her research spans prostate cancer staging , pancreatic tumor subtyping , and hepatic pathology , with over 20 publications since 2016. Key studies include PSMA PET/CT applications , duct-centric Whipple specimen analysis , and metaplastic pancreatic carcinomas . While no scientific awards are explicitly documented, her work emphasizes imaging-pathology integration and novel diagnostic protocols . She has no known part-time affiliations and no appointments are listed in the scraped data.

Ingela NyströmView profile

Professor

• Medical image analysis
• 3D visualization
• Haptics in surgery planning
• +3 more

Ingela Nyström is a Professor in Visualization at Uppsala University's Department of Information Technology. She serves as the node coordinator for InfraVis and as Director of Postgraduate Studies at the Department of Information Technology. Her interdisciplinary work bridges Uppsala University's three academic domains through collaborations with the Centre for Image Analysis (CBA), Centre for Women's Mental Health (WOMHER), Uppsala Centre for Digital Humanities (CDHU), and Medtech Science & Innovation (MTSI). Medical image analysis 3D visualization Haptics in surgery planning Interactive segmentation Digital geometry Biomedical engineering Her recent research focuses on rotation-equivariant neural networks for biomedical image classification, interactive segmentation tools for cranio-maxillofacial surgery planning, and precision evaluation of intraoral scanning technologies. Publications since 2023 demonstrate continued work on 3D imaging protocols for implant dentistry and surgical applications. 2024: Equivariant CNNs for rotation-invariant biomedical imaging 2023: In vivo precision studies of full-arch implant scans 2021: Virtual surgical planning with haptic assistance 2016-2017: Multimodal robotics perception and 3D segmentation tools 2014: Orbital morphology analysis in craniosynostoses 2005-2011: Foundational work in 3D skeletons and fuzzy object measurements

• Computational Cardiac Physiology
• Cardiac Electromechanics
• Stem Cell-Derived Cardiomyocyte Modeling
• +4 more

Samuel Wall serves as Chief Research Scientist and Research Professor in the Department of Computational Physiology at Simula Research Laboratory. His work focuses on developing computational models to understand cardiac electromechanics, with particular emphasis on stem cell-derived cardiomyocytes and personalized heart modeling approaches. His research interests span computational cardiac physiology, mechano-electric feedback mechanisms, stem cell-derived cardiomyocyte modeling, and drug response prediction. Wall's work integrates advanced computational methods with experimental cardiac physiology to create in-silico tools for evaluating cardiac function, tissue engineering applications, and drug effects. His research has significant implications for understanding arrhythmia mechanisms, cardiac remodeling, and developing more accurate preclinical drug testing platforms. Analysis of Wall's recent publications reveals a strong trend toward integrating computational modeling with microphysiological systems, particularly using human-induced pluripotent stem cell-derived cardiomyocytes. His work increasingly focuses on creating in-silico augmented platforms that combine experimental measurements with computational analysis to improve drug response prediction and understand fundamental cardiac mechanisms. The research spans multiple scales from sub-cellular mechanics to whole-organ function. Wall maintains active collaborations with leading institutions in cardiac modeling and biomedical engineering. His work frequently appears in high-impact journals spanning computational science, physiology, and biomedical engineering fields.

Catherine McCuskerView profile

Associate Professor

• Developmental Biology
• Molecular Mechanisms of Regeneration
• Epigenetics
• +4 more

Catherine McCusker is an Associate Professor at the University of Massachusetts Boston's School of Science and Mathematics, Department of Biology, specializing in molecular mechanisms of limb regeneration in axolotls (Ambystoma mexicanum). Her lab focuses on understanding how cells communicate during regeneration, positional information reprogramming, and growth regulation to achieve functional tissue integration. She leads a multidisciplinary team of undergraduate, graduate, and postbaccalaureate researchers. Research interests: Developmental Biology, Molecular Regeneration, Epigenetics, Limb Regeneration Teaching award: 2023 Excellence in Undergraduate Teaching Award Her recent publications explore chromatin modifications, neural control of regeneration, and positional information congruency. Collaborations span regenerative medicine, cancer biology, and conservation science. The lab actively engages in community outreach through virtual lab tours for K-12 students. 2023: Frontiers in Cell and Developmental Biology (Integration failure in limb regeneration) 2022: eLife (Neural growth control), Development (FUCCI marker development) Scientific contributions include high-impact studies on epigenetic regulators (H3K27me3), signaling pathways (FGF/BMP/RA), and axolotl model advancements for regeneration and aging research. Lab members include PhD students, research assistants, and former trainees now in academic or industry roles.

Morten Olgaard JensenView profile

Associate Professor

• Cardiovascular Biomechanics
• Medical Device Design
• Hemodynamics
• +7 more

Morten Olgaard Jensen is an Associate Professor of Biomedical Engineering at the University of Arkansas and an Arkansas Research Alliance Scholar. He serves as Chief Technology Officer for VeinTek LLC and Vivas LLC, focusing on venous valve and flow model phantom development. Additionally, he holds clinical and adjunct roles at the University of Arkansas for Medical Sciences and Aarhus University. Dr.Med. from Aarhus University Hospital, Denmark Ph.D. in Medicine from Aarhus University, Denmark M.S. in Biomedical Engineering from Georgia Tech, Atlanta, GA B.S. in Electrical and Computer Engineering from Engineering College of Aarhus, Denmark Jensen’s research centers on cardiovascular biomechanics, integrating clinical insights with engineering innovation. His work spans experimental cardiac surgery, virtual bioinstrumentation, and in vitro/in vivo modeling of cardiovascular systems. He specializes in hemodynamics, medical device design, and biomechanical validation of computational models, with contributions to NIH guidelines for heart surgery device design. His academic accolades include Fellow of the American Heart Association, multiple Outstanding Teaching Awards, and the Arkansas Research Alliance Scholar Award. He has mentored award-winning student projects and served on NIH, NSF, and DoD grant review panels. Jensen has developed courses in cardiovascular biomechanics, fluid mechanics, and medical instrumentation. His lab collaborates with industry partners on FDA-approved devices and fosters international academic partnerships through student exchange programs.

• Biomechanics
• Sports Biomechanics
• Muscle Activation
• +9 more

Patrick Rider is a Lecturer and Assistant Department Chair in the Department of Kinesiology at East Carolina University's College of Health and Human Performance. His research focuses on biomechanics, sensorimotor integration, and physical activity patterns. University: East Carolina University Department: Kinesiology Academic Rank: Lecturer Rider's research spans sports biomechanics, virtual reality-based balance assessment, and neuromechanics of fatigue and concussion. He investigates how training history affects joint mechanics, ligament properties in athletes, and the role of visual attention in sports performance. His recent publications highlight advancements in EMG modeling, physical activity dynamics, and high-intensity weightlifting biomechanics. Themes include neural signatures of fatigue, kinematic adaptations in distracted movements, and ligament stiffness responses. East Carolina Alumni Association Outstanding Teaching Award Finalist, 2016 Robert L. Jones Teaching Award Finalist, 2016 Rider has secured grants from the National Science Foundation (NSF) and Office of Naval Research for biomechanical studies. His service includes leadership roles in the American Society of Biomechanics and National Biomechanics Day presentations.

• Veterinary Pathology
• Tumour Biology
• Immunohistochemistry
• +5 more

Lorenzo Ressel serves as Lecturer in Veterinary Pathology at the University of Liverpool, where he has been a core faculty member since 2011. A diplomate of the European College of Veterinary Pathologists (DipECVP) since 2015 and Fellow of the Higher Education Academy (FHEA), he directs the Immunohistochemistry and Electron Microscopy Services while teaching anatomic pathology with emphasis on neoplasia. His educational foundation includes a veterinary degree (2005) and PhD (2009) from the University of Pisa, where his dissertation explored PTEN protein expression in canine and feline mammary tumours. This early work established his expertise in comparative tumour biology that continues to inform his research. Professor Ressel's research spans veterinary pathology with dual emphases: traditional diagnostic pathology (particularly immunohistochemistry for tumour grading) and cutting-edge computational approaches. His recent publications reveal a strategic pivot toward integrating artificial intelligence and natural language processing into veterinary diagnostics, while maintaining active work in forensic pathology and regenerative medicine. This interdisciplinary focus positions him at the forefront of digital transformation in veterinary medicine. Analysis of his 2025 publications shows strong momentum in AI applications, with multiple papers establishing methodological frameworks for computational pathology. His work bridges species-specific veterinary challenges with broader diagnostic innovation, particularly in image analysis standardization and 3D visualization techniques for both educational and diagnostic purposes. Eusropean Society of Veterinary Pathology (ESVP) Oral presentation Award (2013) European Society of Veterinary Oncology (ESVONC) Junior Research Award (2009) Professor Ressel actively supervises postgraduate research through multiple funded projects including Kidney Research UK studies on regenerative therapies and Horserace Betting Levy Board investigations into equine pulmonary diseases. His grant portfolio demonstrates successful translation of basic research into clinical applications, with particular strength in securing competitive European and UK funding. The Immunohistochemistry Service he developed serves as a critical nexus between diagnostic practice and research innovation. As head of the Immunohistochemistry and Electron Microscopy Services, Professor Ressel oversees integrated diagnostic and research operations that handle hundreds of cases annually. These services provide the foundation for his methodological innovations while supporting the University of Liverpool's veterinary hospital and research community, creating a dynamic environment where diagnostic challenges directly inform research priorities.

• Medical Physics
• X-ray Imaging
• Microtomography
• +5 more

Alberto Bravin is Professor of Applied Physics-Medical Physics at the Università degli Studi di Milano-Bicocca (since 2021) with a renewable position at the University of Calabria for the STAR infrastructure project. Previously, he led the ID17 Biomedical Beamline at the European Synchrotron Radiation Facility (ESRF) in Grenoble for 18 years. His research bridges medical physics and clinical applications through advanced X-ray technologies. Research interests span: Multiscale phase-contrast imaging for virtual histology Microbeam radiation therapy for neurological disorders Synchrotron-based computed tomography Artificial intelligence-enhanced biomedical imaging Radiotherapy optimization His work has established new standards in tissue visualization, enabling 3D reconstruction of organs at histological resolution. Awards and honors: Stanford University World Top 2% Scientist (2021) Médaille d'honneur de travail (French Silver Medal, 2021) Outstanding Scientist Award - Italian Synchrotron Society (2018) Fellow - American Association of Medical Physicists (2016) He serves on editorial boards of major journals including Medical Physics and Scientific Reports, and has supervised multiple PhD theses on microbeam therapy applications. Current work includes developing the ThomX Compton X-ray source and studying chemotherapy-induced neurovascular changes using synchrotron imaging.

• Developmental biology
• Skeletal muscle development
• Stem cell biology
• +6 more

Professor Beate Brand-Saberi is a distinguished researcher and educator at Ruhr University Bochum, where she leads the Department of Anatomy and Molecular Embryology within the Faculty of Medicine. With a career spanning several decades, she has established herself as a leading expert in developmental biology, particularly in skeletal muscle development and stem cell research. Her international academic journey includes significant appointments at Albert-Ludwigs-University Freiburg, where she served as Dean of Studies for Preclinical Medicine and Representative of the Rector for China contacts, and extensive collaborations with institutions in China, the United States, and the United Kingdom. Professor Brand-Saberi's research program focuses on cell migration, determination and differentiation of mesodermal cells, with special emphasis on skeletal muscle precursor cells. She employs a diverse array of model systems including chicken embryos, zebrafish, mice, and human pluripotent stem cells to investigate fundamental developmental processes. Her laboratory utilizes advanced techniques such as in ovo electroporation, shRNA, in situ hybridization, immunohistochemistry, confocal microscopy, and live imaging to study intercellular signaling, epigenetic control of gene expression, and the function of bHLH transcription factors in cell type specification. Current research areas include cell migration during development, dermis development, eye development, kidney development, and stem cell niches in development. Analysis of her recent publications (2022-2024) reveals a strong focus on developmental biology with particular emphasis on bHLH transcription factors like Atoh8 and Math6. Her work spans from fundamental developmental mechanisms to applications in disease modeling and regenerative medicine, with increasing integration of stem cell technologies and organoid models. The publication record demonstrates consistent productivity with interdisciplinary collaborations across multiple institutions. Honorary Doctorate of Apollonia University Iasi, Romania Research Award of the German Duchenne Foundation (2017-2020) Research award for replacement/supplementation of animal experiments from Ministry of Food, Rural Areas and Consumer Protection, Baden-Württemberg DAAD scholarship at University of Southampton, England Professor Brand-Saberi has demonstrated strong leadership in academic administration and education. She has served as Executive Director of the Institute of Anatomy at RUB (2015-2022), Head of the Master Program 'Molecular and Developmental Stem Cell Biology' since 2011, and Head of the Master's program 'Stem Cell Medicine' since 2022. She implemented a double degree program with Jinan University (2019-2021) and serves on multiple academic committees including the Faculty Council of the Medical Faculty at RUB and the Control and Review Commission of the IMPP. Her extensive international collaborations, particularly with Chinese institutions, reflect her global impact in the field of developmental biology.

Feng CuiView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Computational Biology
• +4 more

Feng Cui is an Associate Professor in the Thomas H. Gosnell School of Life Sciences at Rochester Institute of Technology (RIT), where he serves as Graduate Director of the Bioinformatics MS Program and is an affiliated faculty member of the Golisano College for Computing and Information Sciences. He holds the position of Faculty Senator (Alternate) and maintains an active research laboratory focused on computational biology and bioinformatics. His educational background includes an MS from Truman State University, a Ph.D. in Bioinformatics and Computational Biology from Iowa State University, and an MD from Hunan Medical University in China. Following his doctoral studies, he completed postdoctoral training at the National Cancer Institute (NCI). Dr. Cui's research spans three primary areas: exploring nucleosomal DNA diversity, developing machine learning approaches to predict nucleosome-binding proteins, and applying artificial intelligence to medical and systems biology challenges. His work combines computational approaches with biological insights to address fundamental questions in chromatin structure and develop practical applications for disease diagnosis and treatment. His publication record from 2012-2023 demonstrates consistent output in high-impact journals including Nucleic Acids Research, BMC Bioinformatics, and Frontiers in Bioinformatics. His recent work shows a clear progression toward increasingly sophisticated AI applications in biology, with a growing emphasis on deep learning techniques for medical applications, particularly in cancer research and virology. Dr. Cui actively mentors students at multiple levels, with numerous undergraduate and graduate researchers contributing to his projects. His laboratory has been supported by funding from the National Institute of General Medical Sciences (NIGMS) of the National Institutes of Health under award number R15GM149587. The Cui Research Group maintains a strong focus on the interface between computer science and biology, with current projects investigating nucleosomal DNA patterns, machine learning prediction of protein-DNA interactions, and AI applications for medical diagnostics. The lab has developed several computational tools including nuMap for nucleosome positioning prediction and ProtGauss for predicting nucleosome binding modes.

Chris YoungView profile

Senior Lecturer

• Skeletal Muscle Pathologies
• Autophagy Mechanisms
• Purinergic Signaling
• +6 more

Dr Chris Young is a Senior Lecturer in Biomedical Science and Enterprise Lead for the School of Allied Health Sciences at De Montfort University's Faculty of Health and Life Sciences. He also serves as a long-term visiting scientist at the Li Ka Shing Cancer Research UK Research Institute, Addenbrookes, Cambridge, and maintains research collaborations with the University of Portsmouth. Dr Young completed his PhD in Molecular Medicine at the University of Portsmouth (2007-2011), an MSc in Genetic Manipulation and Molecular Cell Biology with Distinction from the University of Sussex (2006-2007), and a BSc in Biochemistry and Organic Chemistry with First Class Honours from The Open University (2003-2006). He also holds a PG-Cert in Learning and Teaching in Higher Education with Distinction (2019) and is a Fellow of the Higher Education Academy. Dr Young's research focuses on skeletal muscle pathologies and in vitro/in vivo modeling of human pathologies, with two main themes: elucidating the role of autophagy in skeletal muscle stem cells, and developing next-generation wound dressings for trauma and disaster medicine. His work on autophagy has therapeutic potential extending to muscle disease, muscle aging, soft tissue injuries, rhabdomyosarcoma, diabetes, and liver disease. His expertise in muscle pathology underpins his co-founded company, Chromar Research & Development Ltd., which customizes IP and technology for human and veterinary markets. Analysis of Dr Young's publication record reveals a strong focus on muscle pathology, particularly Duchenne Muscular Dystrophy, with significant contributions to understanding autophagy mechanisms and purinergic signaling. His recent work has expanded into cancer research, particularly colorectal cancer biomarkers, and medical education innovations, reflecting his diverse research interests and interdisciplinary approach. ICURe Discover, Explore & Exploit awardee for Chromar Research and Development Ltd. (2024-2025) VentureVersity selected case study for success in Enterprise and Innovation (2024) Shortlisted for Academy of Medical Sciences Early Career Award (2023) Blavatnik Award Nominee (2022) Elected Member of the Fisheries Society of the British Isles (2022-present) Member of the Royal Society of Biology (2021-present) Future Research Leader Scholarship (2020) Innovation for International Education Award from Nanolive (2019) Dr Young successfully supervises PhD students including Michal Kozielecki, Kyle Gordon, and Divine Derefaka, and has secured four successive externally funded innovation grants to support Chromar in the last two years. His teaching portfolio includes Chemistry for the Biosciences, Biochemistry and Molecular Cell Biology, Cyto & Histopathology, Clinical Biochemistry, Clinical Genetics, and Cancer Biology, where he serves as Module Lead for Research Projects and as 1st Year Coordinator and Timetabling Coordinator for Biomedical Science. Dr Young maintains an active laboratory focused on skeletal muscle pathologies with two main research themes. He is collaborating with Dr Omar Qutachi to spin out Chromar Research & Development Ltd. with Innovate UK ICURe funding support, demonstrating his commitment to translating research into practical applications for human and veterinary markets.

• Computational Fluid Dynamics
• Nasal Airway Function
• Anthropology
• +3 more

Manuel Antonio Burgos Olmos is a Professor specializing in Computational Fluid Dynamics (CFD) applied to nasal airway function and surgical optimization. His interdisciplinary work bridges biomedical engineering, oto-rhino-laryngology, and anthropology, with significant contributions to virtual surgery tools like DigBody®, MeComLand®, and Noseland® for objective airflow analysis and surgical planning. His research focuses on nasal airflow simulation across diverse contexts: human climate adaptation studies in anthropology, veterinary applications for big cats (e.g., lions using Flowgy software), and clinical conditions including empty nose syndrome and nasoseptal perforations. Key interests include 3D modeling of nasal cavities, vorticity analysis, and reducing surgical outcome variability through computational approaches. Analysis of his 46 publications (1998-2025) reveals a consistent trajectory toward integrated computational modeling, with recent work (2016-2025) emphasizing cross-species comparisons (humans/chimpanzees), sexual dimorphism in airways, and clinical-veterinary translational applications. His publications in high-impact journals demonstrate methodological innovation in CFD-based surgical prediction and anthropological morphology assessment.