جست‌وجوی استاد و پژوهشگر

Sebastien Ourselinمشاهده پروفایل

استاد

• Biomedical Engineering
• Medical Imaging
• Artificial Intelligence in Healthcare
• +۳ مورد دیگر

Professor Sebastien Ourselin is Head of the School of Biomedical Engineering & Imaging Sciences at King's College London , where he also serves as Assistant Principal (Innovation). He directs the London Institute for Healthcare Engineering and co-leads the St Thomas’ MedTech Hub, fostering collaboration between academia, industry, and the NHS. His research focuses on AI-driven healthcare engineering , medical robotics , and digital health technologies . Scientific awards: Fellow of the Royal Academy of Engineering (FREng) Fellow of the Academy of Medical Sciences (FMedSci) His recent publications span medical imaging , AI in surgery , and clinical robotics , with applications in neurosurgery, oncology, and geriatric care. He leads major initiatives like the Wellcome/EPSRC Centre for Medical Engineering and the London Medical Imaging and Artificial Intelligence Centre for Value Based Healthcare.

David L. Buckleyمشاهده پروفایل

استاد

• Medical Physics
• Quantitative Magnetic Resonance Imaging (MRI)
• Dynamic Contrast-Enhanced MRI
• +۷ مورد دیگر

Professor David L. Buckley is a Professor of Medical Physics at the School of Medicine, University of Leeds, and a leading researcher in quantitative magnetic resonance imaging (MRI). He is affiliated with the Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), the Radiotherapy Research Group, and the Biomedical Imaging Science theme. He serves as Lead for Postgraduate Research (PGR) Studies in LICAMM and is actively involved in teaching and supervision. Education: BSc in Mathematical Physics MSc in Information Technology (Medical Physics) PhD in Magnetic Resonance Imaging His research focuses on the development and application of advanced MRI techniques, particularly dynamic contrast-enhanced MRI and tracer kinetic modeling, for the quantification of physiological parameters in cardiovascular, oncological, renal, and neurological diseases. He has led numerous high-impact research projects funded by major bodies including the British Heart Foundation, Cancer Research UK, EPSRC, MRC, and NIHR. The recent articles reflect a strong trend in developing quantitative imaging biomarkers for clinical applications, especially in cardiac perfusion, renal function, cancer therapy response, and brain vascular dynamics. His work bridges physics, engineering, and clinical medicine, aiming to translate novel imaging methods into patient benefit. Scientific Awards and Grants: BHF Project Grant (2021) - Myocardial blood flow and extracellular volume Cancer Research UK Radiation Research Centre (2020) - Personalised radiotherapy EPSRC Standard Proposal (2019) - WEX-BRAIN EU COST-Action (2017) - MRI biomarkers for chronic kidney disease MRC Clinical Research Capabilities & Technologies Strategic Award (2015) - National Centre for Hyperpolarised MRI Breast Cancer Now Project Grant (2015) - CHERNAC BHF Strategic Initiative Grant (2014) - Pre-clinical imaging Kidney Research UK project grant (2013) - Single-kidney GFR NIHR EME award (2013) - CADERA NIHR PhD Research Fellowship (2012) - Diabetic cardiomyopathy He supervises postgraduate research students and leads PGR training in LICAMM. His teaching includes module leadership for Magnetic Resonance Imaging (MEDP3512/MEDP5312M) and lecturing in Core Skills in Medical Imaging and Introduction to Medical Physics . He is a member of professional societies including the International Society for Magnetic Resonance in Medicine (ISMRM). His research is conducted within interdisciplinary teams including LICAMM, the Radiotherapy Research Group, and Biomedical Imaging Science, fostering collaboration across physics, engineering, and clinical specialties to advance imaging science and patient care.

• Nonlinear Optimization
• Numerical Optimization
• Optimization and Control with PDEs
• +۱۲ مورد دیگر

Prof. Dr. Nicolas R. Gauger is Full Professor and Chairholder for Scientific Computing at the University of Kaiserslautern-Landau (RPTU), holding dual appointments in the Department of Mathematics and Department of Computer Science. He directs the university's Computing Center (RHRZ) and leads the SciComp research team, with prior roles at DLR Braunschweig, Humboldt University Berlin, RWTH Aachen University, and MIT. His academic background includes a Master in Mathematics (Dipl.-Math.) from Leibniz University Hannover (1998) and a Ph.D. in Applied Mathematics (Dr.rer.nat.) from Braunschweig University of Technology (2003). 1998-2010: Research Scientist, Numerical Methods for Aerodynamics at DLR Braunschweig 2005-2010: Assistant Professor (W1), Department of Mathematics, Humboldt University Berlin 2010-2014: Associate Professor (W2), RWTH Aachen University 2014: Visiting Professor, Massachusetts Institute of Technology Prof. Gauger's research centers on optimization under uncertainty for complex physical systems. His work integrates Algorithmic Differentiation with Machine Learning to advance Computational Fluid Dynamics, Aeroacoustics, and Structural Mechanics. Recent projects focus on medical applications like proton computed tomography (pCT) for cancer treatment through SIVERT and AI Care initiatives, alongside aerodynamic design for noise reduction and flow control. His 2025 publications reveal a dominant trend in end-to-end differentiable programming for physics-based optimization, particularly in fundamental particle physics experiments and medical imaging. Key subfields include diffusion models for detector design, reinforcement learning for particle tracking, and robust optimization frameworks applied to turbulence modeling and proton therapy. Scientific recognition includes: Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA), 2018 Teaching Award from RPTU, June 2025 He has advised doctoral students including award-winning researcher Max Aehle (2025 Freundeskreis RPTU Outstanding Dissertation Award). Major grants include leadership of the Excellence Initiative-funded AICES Graduate School (2010-2019), the Center for Mathematical and Computational Modelling (CM) 2 (2014-2019), and the MathApp (2019-2024) and MSO (2024-present) research initiatives. Current projects like SIVERT and AI Care apply AI to cancer therapy. Prof. Gauger co-leads the Fraunhofer Performance Center's R&D Lab for Data Analysis and AI, serves on the Managing Board of ERCOFTAC (European Research Community on Flow, Turbulence and Combustion), and chairs the Steering Committee of ERCOFTAC's Special Interest Group on Design Optimization. His team develops critical AD tools including CoDiPack and OpDiLib within the NHR South-West high-performance computing consortium.

• Bio-based economy
• Climate transition
• Spatial epidemiology
• +۹ مورد دیگر

Oskar Englund is a full-time Professor at the Department of Natural Sciences, Design and Sustainable Development (NDH) within the Faculty of Natural Science, Technology and Environment at Mid Sweden University . He serves as the subject representative for Environmental Science/Environmental Technology and as Director of Studies for the doctoral program at NDH. Education: PhD in Energy and Environment from Chalmers University of Technology, MSc in Automation and Mechatronics (industrial ecology focus) Research Interests encompass strategies for transitioning to a bio-based economy , climate change mitigation in aviation, land-use optimization , and spatial epidemiology . His work spans scales from local to global, focusing on biomass production for energy while balancing climate security , food security , and biodiversity conservation . The article portfolio reveals a strong focus on bioenergy systems (40% of publications), ecosystem services (35%), spatial modeling (30%), and environmental governance (25%). Recurring sub-fields include land-use optimization , GIS applications , carbon sequestration , and policy implementation . Collaborations include Chalmers University of Technology, KTH Royal Institute of Technology, University of Gothenburg, European Commission's research center in Ispra, Brazil's Amazon research institutions, and multiple EU energy policy initiatives.

Anja C. Rodenمشاهده پروفایل

استاد

• Thoracic Pathology
• Surgical Pathology
• Mediastinal Tumors
• +۵ مورد دیگر

Anja C. Roden, MD is a Professor at Mayo Clinic College of Medicine , Department of Laboratory Medicine and Pathology, Anatomic Pathology. Board certified in anatomic and clinical pathology, she specializes in thoracic pathology with expertise in mediastinal tumors, lung tumors, malignant mesothelioma, interstitial lung diseases, and pulmonary transplant pathology. Clinical Roles : Medical Director, Immunostains Laboratory Research : 190+ peer-reviewed manuscripts, 40+ book chapters, Co-editor of "Mediastinal Lesions" and "Pulmonary Pathology" atlases Leadership : Past President, International Thymic Malignancy Interest Group; Current Chair, Thymic Tumor Subgroup, IASLC; Vice-Chair, European Society of Pathology Education : 2009: Surgical Pathology Fellowship, Mayo Clinic 2008: Anatomic & Clinical Pathology Residency, Mayo Clinic 1992: Medical Degree, Technical University of Dresden Research Focus spans mediastinal neoplasms, malignant mesotheliomas, biomarker development (diagnostic/predictive/theranostic), interstitial lung diseases, and pulmonary transplant pathology. Recent work emphasizes AI integration in ILD diagnosis, direct patient-pathologist interactions in transplant medicine, and molecular characterization of thoracic tumors. Scientific Awards : 2017: President's Pulmonary Pathology Society Innovation Award 2020: Best Author Award, Pathology Outlines Professional Activities : Active in clinical guideline development (WHO thoracic tumors 2021), serves on multiple international committees including the European Lung Cancer Congress Program Committee, Pulmonary Vascular Disease Steering Committee, and International Mesothelioma Panel. Regularly contributes to peer-review processes across major journals.

Rodney Braunمشاهده پروفایل

دانشیار

• Ophthalmology
• Tumor Biology
• Medical Imaging
• +۲ مورد دیگر

Rodney Braun is an Associate Professor at the School of Medicine , Wayne State University . As Course Director of Medical Histology and Embryology , he leads Year 1 curriculum development while contributing to the Biology of the Eye course. Active in curriculum and promotions committees Research focuses on tumor oxygenation and blood flow modification Current collaboration with Dr. Avril Genene Holt Research Highlights: Specializes in ocular tumor hemodynamics using laser Doppler flowmetry , oxygen microelectrodes , and high-frequency ultrasound to study choroidal melanoma growth patterns. Publication Trends: Recent works (2012-2013) emphasize MRI contrast agents and mitochondrial inhibitors for tumor imaging, while earlier studies (2001-2002) explore neurotrauma and endothelin-1 dynamics .

• Nuclear Medicine
• Radiation Biology
• Oncology
• +۳ مورد دیگر

Harald Grut is an Associate Professor at UiT The Arctic University of Norway, affiliated with the Nuclear Medicine and Radiation Biology Research Group. His primary email contact is harald.grut@uit.no, and he is based in Tromso, Norway. Academic Role: Associate Professor Institution: UiT The Arctic University of Norway Department: Nuclear Medicine and Radiation Biology Research Group Dr. Grut's research focuses on the intersection of nuclear medicine, oncology, and transplantation medicine. Key areas include prognostic imaging in colorectal liver metastases, PET/CT quantification for survival prediction, and extended donor criteria in liver transplantation. His work has significantly advanced the understanding of metabolic tumor volume (MTV) as a biomarker for long-term outcomes post-transplantation. His recent publications (2025–2017) demonstrate expertise in FDG PET/CT analysis , radiomic texture modeling , and transplantation eligibility frameworks . Collaborative studies with institutions like Vestre Viken HF, University of Oslo, and Oslo University Hospital highlight his cross-disciplinary impact. Dr. Grut's work is integral to the SECA study, exploring innovative approaches to patient selection and outcome optimization in liver transplantation for unresectable colorectal metastases. His research has informed clinical practices for non-resectable tumor management and post-transplant follow-up .

Angela Calderonمشاهده پروفایل

استاد

• Application of mass spectrometry to enzyme kinetics and ligand-enzyme interactions
• Mass spectrometry-based natural products drug discovery
• Quality and safety assessment of botanical dietary supplements

Angela Calderon is a Professor in the Department of Drug Discovery and Development at Auburn University's Harrison College of Pharmacy. She holds the Gilliland Professorship and leads research focused on mass spectrometry applications in enzyme kinetics, natural products drug discovery, and quality/safety assessment of botanical dietary supplements. She is based in 3306c Walker Building, Auburn, AL. B.S., Pharmacy - University of Panama (1990) M.S., Pharmacognosy - University of Illinois at Chicago (1997) Ph.D., Pharmacognosy - University of Lausanne (2002) Her research bridges analytical chemistry and pharmacology, emphasizing LC-MS/NMR methods for drug discovery and supplement safety. Key projects include studying açaí and Ashwagandha for drug interactions, with NIH funding. She has developed assays for enzyme inhibition kinetics and natural product screening. The articles listed reflect trends in pharmacology, biochemistry, and analytical chemistry, with a focus on CYP enzymes, tuberculosis drug targets, and botanical supplement standardization. Her work integrates mass spectrometry and metabolomic approaches across these domains. She mentors graduate students and collaborates with lab personnel on grants related to dietary supplement safety and drug discovery. Her laboratory personnel include graduate students Kabre Heck, Kelli McDonald, and Zarna Atul Raichura.

• Computational Biology
• Systems Biology
• Mathematical Modeling
• +۲ مورد دیگر

Prof. Dr. Jan Hasenauer holds the Hertz Professorship at the University of Bonn since August 2024, with dual affiliations to the Life & Medical Sciences Institute (LIMES) and the Hausdorff Center for Mathematics (HCM) . His work bridges computational biology , systems biology , and mathematical modeling , focusing on methods for integrating heterogeneous biological data , model-based hypothesis testing , and experimental design optimization . Develops computational frameworks for analyzing complex biological systems Active in multi-scale modeling of cellular and organismal processes Key contributor to universal differential equations and Bayesian inference tools Research Trends from 2024-2025 publications show expertise in: Integrating clinical data with multi-omics for disease modeling Designing privacy-preserving analysis tools for clinical trials Developing software standards like PEtab for reproducible modeling Applying machine learning to epidemiological forecasting The group maintains strong connections with the Transdisciplinary Research Area 'Modelling' and collaborates across mathematics , life sciences , and public health . Recent ERC Starting Grant funding (€1.5M) supports their innovative computational approaches.

• Cerebral Energy Metabolism
• Magnetic Resonance Spectroscopy
• NMR Spectroscopy
• +۵ مورد دیگر

Professor Robin de Graaf is a distinguished faculty member in the Department of Radiology & Biomedical Imaging at Yale School of Medicine. His research focuses on cerebral energy metabolism and its relationship to functional activation in human and animal brains using advanced NMR spectroscopy techniques. Dr. de Graaf earned his PhD from Utrecht University in 1998, following his doctoral studies there beginning in 1994. His academic journey has established him as a leading expert in magnetic resonance spectroscopy and imaging techniques for metabolic studies. His primary research interests encompass cerebral energy metabolism, NMR spectroscopy (proton, carbon-13, oxygen-17 and phosphorus-31), and Deuterium Metabolic Imaging (DMI). He specializes in developing methods to achieve magnetic field uniformity throughout the brain, tackling magnetic field inhomogeneity through dynamic shimming and novel electrical coil element arrays. His laboratory has pioneered 13C NMR methods at the Yale MRRC, extending these techniques to achieve 3D coverage, higher sensitivity through 1H detection, and higher specificity for applications like GABA turnover detection. Dr. de Graaf's recent publications (2024-2025) demonstrate a strong focus on Deuterium Metabolic Imaging applications in brain tumors, cardiac imaging, and metabolic mapping. His work frequently involves collaborations with researchers like Henk De Feyter, Douglas Rothman, and Graeme Mason. His research spans multiple disciplines including biomedical engineering, neuroscience, oncology, and metabolic imaging, with particular emphasis on translating advanced techniques to clinical applications. Dr. de Graaf is actively involved in technological innovation, particularly in developing methods for better water suppression, spatial localization, spectral editing, quantification, and shimming for MR applications. His educational efforts include publications, lectures, books, and online videos to disseminate knowledge about high-field magnetic resonance techniques.

André Rendeiroمشاهده پروفایل

پژوهشگر

• Computational Biology
• Spatial Biology
• Single-Cell Analysis
• +۴ مورد دیگر

André Rendeiro is a Principal Investigator at CeMM (Center for Molecular Medicine) under the Austrian Academy of Sciences since June 2022. His research bridges computational biology and spatial biology to decode cellular interactions in human physiology, focusing on aging, tissue integrity, and disease mechanisms. He earned his PhD in molecular medicine at CeMM and conducted postdoctoral work at Weill Cornell Medicine in New York. Education PhD in Molecular Medicine, CeMM Vienna Postdoctoral Associate, Weill Cornell Medicine His work centers on spatial transcriptomics, multiplexed imaging, and computational pathology to: Detect early pre-cancerous lesions Quantify tissue integrity across lifespan Map immune cell distributions in organs Link spatial patterns to aging and disease Key research trends from his publications include: Developing tools like LazySlide for histopathology analysis Creating spatial reference atlases (SAHA) for human organs Modeling tissue clocks to predict aging from blood biomarkers Investigating epithelial-mesenchymal transitions in cancer Characterizing thymic development and liver fibrosis Profiling immune responses in COVID-19 and colorectal cancer

David Weaverمشاهده پروفایل

استادیار

• Flow Cytometry
• Genomics
• Transcriptomics
• +۷ مورد دیگر

David Weaver is an Assistant Professor in the Department of Surgery at the University of Toledo, Ohio. He has held roles as Director of both the Flow Cytometry Core Laboratory and the Genomics Core Laboratory, contributing to bioinformatics and genomics research. His academic journey includes degrees from Bowling Green State University (B.S., Ph.D.) and Ohio State University (DDS), with postgraduate training at Medical College of Ohio and Karolinska Institutet. Research interests include Flow Cytometry for cell sorting (human cells, bacteria, algae/diatoms), Genomics , and Transcriptomics with a focus on Carcinogenesis and Mutagenesis . His work spans quantitative gene expression analysis, DNA repair pathways, and environmental toxicology. The 15 most recent articles highlight expertise in transcriptomics (e.g., 2016 on Francisella virulence), cancer research (e.g., 2005 on chemoresistance), and cardiovascular biology (e.g., 2021 on hypertension QTL). Articles emphasize quantitative RT-PCR , gene expression databases , and environmental carcinogens like radon. Scientific awards : Personal Scholarship Recipient (Karolinska Institutet, 1999) As a core facility director, Weaver has advanced Flow Cytometry and Genomics infrastructure. His collaborations span international institutions (Karolinska, Ohio State) and interdisciplinary teams in physiology, public health, and surgery.

• Machine Learning
• Medical Data Analysis
• Quantum Computing
• +۳ مورد دیگر

Simon Bartels is a researcher affiliated with the Department of Computer Science at the University of Copenhagen , contributing to the Machine Learning section. His work spans interdisciplinary applications of artificial intelligence, including quantum computing, healthcare diagnostics, and environmental modeling. Research activities at the department cover both theoretical and applied machine learning, with participation in the SCIENCE AI Centre . Key domains include medical data analysis , remote sensing , sustainability , and biological data modeling . Recent publications highlight contributions to quantum-inspired neural networks , geospatial biodiversity analysis , and energy-aware AI systems . Collaborations include rare disease research (e.g., MOSAIC framework ) and quantum computing optimizations.

Buddini Karawdeniyaمشاهده پروفایل

استادیار

• Nanotechnology
• Biomedical Engineering
• Analytical Chemistry
• +۴ مورد دیگر

Dr. Buddini Karawdeniya is an Assistant Professor in the Department of Chemistry and Biochemistry at The Ohio State University, affiliated with the College of Arts and Sciences. She leads the Karawdeniya Nano-Sensing and Innovations Laboratory (KNSI Lab) in the Department of Biomedical Engineering (College of Engineering). Her research focuses on developing nanotechnology-driven sensing systems for biomedical applications, including diagnostics, pharmaceutical quality assurance, and environmental monitoring. Key areas include single-molecule solid-state nanopore sensing, gas/fluid surveillance for wearable devices, and surface-engineered systems. Education : Ph.D. in Analytical Sensors, University of Rhode Island, USA (2018) Graduate Chemist, Institute of Chemistry Ceylon, Sri Lanka (2010) Bachelor of Science in Biological Sciences, University of Colombo, Sri Lanka (2010) Her research integrates micro/nano-technology with chemical approaches to create practical, user-friendly technologies. Core thrusts include: Single-molecule nanopore sensing for biomedical diagnostics (e.g., viral infections, cancer biomarkers) Gas/fluid sensing for non-invasive exhaled breath analysis and diabetes monitoring Surface-engineered systems for enhanced selectivity and anti-fouling properties Dr. Karawdeniya emphasizes mentorship through Individual Development Plans (IDPs) to guide students in research, communication, and professional networking. Her lab’s innovations aim to bridge gaps between cutting-edge nanotechnology and real-world biomedical challenges.

• Medical Physics
• Radiobiology
• Nanomedicine
• +۳ مورد دیگر

Dr. Elette Engels is an Associate Research Fellow at the University of Wollongong's School of Physics and the Australian Nuclear Science and Technology Organisation (ANSTO). Her work focuses on advancing cancer treatment through synchrotron-based therapies, including microbeam radiation therapy and FLASH radiotherapy. She holds a PhD in Medical Physics (2021) and has published extensively in radiobiology, nanoparticles, and medical imaging. Engels has received awards such as the 2022 ACPSEM PhD Thesis Award and the 2022 AINSE SAAFE Scholarship for international research. Education: PhD in Medical Physics (University of Wollongong, 2021); BSc (Advanced Honours) in Medical and Radiation Physics (2015). Research interests include synchrotron radiation applications, nanoparticle-enhanced therapies, and preclinical radiotherapy. She leads projects funded by NHMRC, ANSTO, and DAAD grants, focusing on improving radiation dose modulation and treatment efficacy. Engels teaches first-year physics courses (PHYS141/142/143) and collaborates with multidisciplinary teams at ANSTO and the Australian Synchrotron. Funding Highlights: NHMRC Grant (2025-2028): Microbeam Therapy for Cancer Treatment ANSTO Synchrotron Access Programs (2023-2024): Dose Measurement Studies DAAD Australia-Germany Joint Cooperation (2022-2024): 3D Dosimetry Algorithms Awards: ACPSEM MedPhys Prize (2017, 2020) AIP NSW/ACT Postgraduate Excellence Award (2017) Best Presentation Awards at International Conferences (2017-2021) Lab/Collaborations: Imaging & Medical Beam Line at Australian Synchrotron, ANSTO, and international teams at ESRF (France).