جست‌وجوی استاد و پژوهشگر

Kaye Morganمشاهده پروفایل

پژوهشگر ارشد

• Phase Contrast X-ray Imaging
• Biomedical Imaging
• Medical Imaging Technology
• +۳ مورد دیگر

Kaye Morgan is a Research Fellow at Monash University's School of Physics within the Faculty of Science. She holds a Hans Fischer Fellowship at the Technische Universität München (TUM), hosted by Prof. Franz Pfeiffer. Her research focuses on phase contrast X-ray imaging (PCXI), particularly its application in biomedical research and translation to compact imaging systems for clinical use. Educated at Monash University, she earned her PhD in 2011, followed by a Discovery Early Career Researcher Award (2012–2015) from the Australian Research Council. She is also a Veski Victorian Postgraduate Research Fellow, combining her roles at Monash with visits to TUM supported by her Hans Fischer Fellowship. Her research interests include developing PCXI methods for non-invasive imaging of soft tissues, such as lung and airway dynamics, and optimizing imaging techniques to minimize radiation exposure. Key projects include assessing cystic fibrosis treatments via airway surface hydration analysis and improving X-ray source accessibility for clinical applications. Notable achievements include pioneering single-grid phase imaging techniques and contributing to high-speed imaging of biological dynamics. Her work has been recognized with awards like the 2014 Tall Poppy Young Scientist Award and the 2011 Australian Synchrotron Thesis Medal. Morgan collaborates across disciplines, working with biomedical researchers to advance imaging technologies for respiratory health. Her publications span journals like Scientific Reports, Optics Letters, and the American Journal of Respiratory and Critical Care Medicine.

• X-ray Physics
• Synchrotron Radiation
• Medical Imaging
• +۵ مورد دیگر

Benedikt Günther is a research scientist at the Technical University of Munich (TUM) working within the Chair of Biomedical Physics led by Prof. Dr. Franz Pfeiffer. His research focuses on the Munich Compact Light Source (MuCLS), a laboratory-scale inverse Compton X-ray source that provides synchrotron-like radiation for biomedical applications. Günther plays a key role in developing, optimizing, and characterizing this innovative technology, contributing to both its fundamental physics and practical medical applications. His primary research interests center around X-ray physics and imaging techniques, particularly laser enhancement cavities for inverse Compton X-ray sources, X-ray microscopy, dynamic phase-contrast imaging, and X-ray spectroscopy. Günther's work bridges fundamental physics with practical medical applications, developing instrumentation that brings synchrotron-quality imaging to conventional laboratory settings. His research has significant implications for improving medical diagnostics while making advanced imaging techniques more accessible. Analysis of Günther's publication record reveals a consistent focus on advancing compact X-ray source technology and its applications. His work demonstrates expertise in both theoretical modeling and experimental implementation, with publications spanning instrument development, imaging techniques, and specific medical applications. The research shows progression from fundamental source characterization to increasingly sophisticated biomedical applications, particularly in breast imaging, dental diagnostics, and materials science. 2019 Best Poster Award at the combined meeting of the 68th Denver X-ray Conference (DXC) & 25th International Congress on X-ray Optics and Microanalysis (ICXOM) for 'Full-Field Structured Illumination Super-Resolution X-ray Transmission Microscopy' Günther regularly presents his work at major international conferences including the International Particle Accelerator Conference, High-Brightness Sources and Light-driven Interactions Congress, and specialized X-ray imaging meetings. His research is conducted within the Munich Compact Light Source facility, a collaborative project involving physicists, engineers, and medical researchers working to develop laboratory-scale synchrotron technology for widespread biomedical use.

Kaye Morganمشاهده پروفایل

دانشیار

• X-ray Imaging
• Phase Contrast X-ray Imaging
• Dark-field Imaging
• +۴ مورد دیگر

Kaye Morgan is an Associate Professor in the School of Physics and Astronomy at Monash University, specializing in X-ray imaging technologies with applications in medical and respiratory research. She holds an Australian Research Council Future Fellowship and has held prestigious positions including a Hans Fischer Fellowship at Technische Universität München. Her research focuses on advancing X-ray optics methodologies, particularly phase contrast X-ray imaging (PCXI) and dark-field imaging, to enhance resolution, speed, and sensitivity. These techniques are applied to study airway health in cystic fibrosis and other respiratory diseases, using synchrotron facilities like SPring-8 and the Munich Compact Light Source. She has pioneered single-grid imaging and propagation-based dark-field approaches, enabling real-time visualization of lung dynamics and treatment efficacy. Morgan leads multiple high-impact projects funded by ARC and international collaborations, with over 85 publications in journals like Optics Express and Scientific Reports. Her work contributes to UN Sustainable Development Goals related to health and innovation. Key achievements include developing lab-based X-ray sources for clinical translation and quantifying lung microstructure through advanced imaging algorithms.

Jeff Lundeenمشاهده پروفایل

دانشیار

• Quantum Optics
• Photonics
• Quantum Computing
• +۳ مورد دیگر

Dr. Jeff Lundeen is an Associate Professor in the Department of Physics at the University of Ottawa's Faculty of Science. His research focuses on experimental and theoretical quantum physics, particularly in photonics and quantum computing. He leads the Lundeen Lab, developing methods to manipulate single photons and entangled photon pairs for quantum logic, communication, and metrology applications. Research interests include experimental photonics, quantum-enhanced sensors, quantum metrology, and quantum optics. His work addresses challenges in quantum device development, such as ultra-thin imaging systems and quantum state tomography. Key contributions include direct measurements of quantum wave functions and density matrices, weak value amplification techniques, and space-compressing optics. His recent publications (2023–2025) explore neural adaptive quantum tomography, quantum metrology in noisy environments, and reconfigurable optical systems. Dr. Lundeen collaborates internationally on projects like quantum state estimation and photon pair generation in fibers. His lab emphasizes practical applications of quantum principles in sensors, communication, and imaging technologies.

Xi Chenمشاهده پروفایل

استادیار

• AI-Enhanced Optical Imaging
• Quantitative Phase Imaging (QPI)
• Biomedical Imaging
• +۳ مورد دیگر

Xi Chen is an Assistant Professor of Biomedical Engineering at Northwestern University , part of the M McCormick School of Engineering . His research integrates AI with advanced optical imaging techniques to study complex biological systems. Current focuses include quantitative phase imaging (QPI), multiphoton microscopy, and adaptive optics for biomedical applications. Education : Ph.D. in Physics (University of Miami, 201X) B.S. in Applied Physics (Chongqing University, 201X) Postdoc at University of Illinois at Urbana-Champaign NIH K99/R00 Postdoc at Cornell University as a Mong Fellow Research Interests Dr. Chen’s group develops AI-driven optical systems for label-free imaging of live tissues, organoids, and animals. Their innovations include Artificial Confocal Microscopy and Spatial Light Interference Microscopy (SLIM) , enabling high-resolution, quantitative analysis of pathological processes and drug screening. Techniques like Wolf Phase Tomography and adaptive optics enhance imaging depth and resolution in scattering media. Publications Recent work emphasizes integration of machine learning with optical physics to tackle challenges in deep-tissue imaging, phase retrieval, and coherence analysis. Key themes span neural network-driven microscopy, statistical optics of scattering systems, and biomedical diagnostics. Lab & Recruitment His XIQI Lab (Xdeep Intelligent Quantitative Imagine) offers NIH-funded positions for students/postdocs. Visit the lab website for details on open roles and projects in AI-optics convergence.

Andrew Maidenمشاهده پروفایل

استاد

• Computational Optics
• Ptychography
• Coherent Diffractive Imaging
• +۵ مورد دیگر

Professor Andrew Maiden is a faculty member at the University of Sheffield's School of Electrical and Electronic Engineering, specializing in Computational Imaging. He leads the Semiconductor Materials and Devices Research Group. His research focuses on advancing optical systems through computational methods like ptychography, which enhances microscopy and imaging precision. With a PhD from Durham University (2005) and an MEng from the University of Birmingham (2001), Maiden's career includes pioneering work with Professor John Rodenburg on ptychography and a brief industry stint commercializing microscopy technologies. He teaches Digital Signal Processing (DSP) to third-year students and advises researchers such as Cao S (PhD graduate). Research interests include Coherent Diffractive Imaging (CDI), electron microscopy phase imaging, and inverse problem solutions. His work bridges computational algorithms with practical applications in optics and materials science. Maiden has contributed to over 50 peer-reviewed publications and holds patents on ptychography-related imaging techniques. His lab focuses on developing high-resolution imaging tools without traditional lenses, emphasizing low-dose radiation and high-throughput bio-imaging. Teaching and mentorship play key roles in his academic contributions, shaping future engineers in signal processing and computational methods. Collaborations span academia and industry, reflecting his dual focus on innovation and real-world application.

Julian Tachellaمشاهده پروفایل

پژوهشگر

• Signal Processing
• Machine Learning
• Computational Imaging
• +۵ مورد دیگر

Dr. Julian Tachella is a CNRS Research Scientist at the Sisyph Laboratory of École Normale Supérieure de Lyon, with co-founder/CSO roles at Blur Labs. His career spans signal processing, machine learning, and computational imaging, focusing on inverse problems and self-supervised learning. Affiliation: CNRS (French National Centre for Scientific Research), Sisyph Laboratory, École Normale Supérieure de Lyon Co-founder & CSO: Blur Labs (AI/Imaging startup) Research Interests: At the intersection of signal processing and deep learning , his work addresses imaging inverse problems through self-supervised methodologies (e.g., UNSURE, Generalized R2R) that eliminate ground-truth requirements. Key contributions include equivariant imaging frameworks for stability, spline sketches for photon-counting lidar compression, and uncertainty quantification techniques with equivariant bootstrapping. Recent Trends: 2025 publications emphasize lightweight architectures for multi-domain reconstruction (CT, super-resolution) and noise-agnostic SURE methods. 2024 works focus on audio declipping , compressed lidar , and nonlinear algorithm unrolling with applications in autonomous vehicles and medical imaging. Scientific Awards: Best Student Paper Award at ICASSP’22 Collaborations & Leadership: He leads the DeepInverse open-source project and develops algorithms for real-time 3D lidar reconstruction. His team includes researchers from University of Edinburgh and Grenoble INP, with applications in automotive lidar and underwater imaging.

Renu Johnمشاهده پروفایل

استاد

• Biomedical Imaging
• Optical Coherence Tomography
• Nanoparticles
• +۸ مورد دیگر

Renu John is a Professor in the Department of Biomedical Engineering at Indian Institute of Technology Hyderabad . He earned his Ph.D. in Physics (Optics) from IIT Delhi in 2006 and has held postdoctoral positions at Duke University and University of Illinois . He leads the Medical Optics and Sensors Laboratory (MOS) and co-founded the Center for Healthcare Entrepreneurship (CfHE) , focusing on affordable healthcare solutions for India. Research Interests : Biomedical Imaging, Optical Coherence Tomography (OCT), Digital Holography, AI/ML in Diagnostics, Microfluidic Biosensors, 3D Bioprinting, Nanoparticle-based Imaging, Optical Elastography. Awards : Best Paper & Poster Awards at international conferences (2018-2019), Samsung Innovation Award (2018) for smartphone-based oral cancer detection. Grants : Lead investigator for an ICMR Center of Excellence (15.2 Cr funding) in Medical Devices and Diagnostics. Students : Mentored over 20 researchers, including current and alumni Ph.D. candidates working on OCT, microfluidics, AI-driven imaging, and biosensor development. Labs & Innovations : The MOS Lab develops cutting-edge technologies like lensless microscopes, FF-OCT systems, and dual-modality biosensors. His team has filed 18 patents and published 117 international journal articles, with projects spanning from in vivo magnetomotive imaging to organ-on-chip platforms for disease modeling.

Brendan Kennedyمشاهده پروفایل

استاد

• Optical Imaging
• Biomedical Engineering
• Medical Imaging
• +۴ مورد دیگر

Professor Brendan Kennedy is a leading academic in biomedical engineering and optical imaging, serving as Group Leader of the Bioimaging Research and Innovation for Translational Engineering Laboratory (BRITElab) at the Harry Perkins Institute of Medical Research. He holds a Full Professor position in the School of Engineering at The University of Western Australia (UWA) and is a Visiting Professor in the Institute of Physics at Nicolaus Copernicus University, Poland. B.Sc. in Electronic Engineering (2001) Ph.D. in Electronic Engineering (2006) His research focuses on developing advanced optical coherence tomography (OCT) and optical elastography techniques for clinical applications in surgery, mechanobiology, and tissue engineering. These technologies enable high-resolution, real-time imaging of tissue elasticity and micro-scale mechanics, revolutionizing cancer detection and surgical margin assessment. Recent publications highlight his pioneering work in 3D mechanical characterization of tumors, intraoperative imaging for breast-conserving surgery, and multimodal systems integrating OCT with fluorescence lifetime imaging. His team has also advanced phantom designs for calibration, strain retrieval algorithms, and portable optical palpation devices for telehealth and low-resource settings. West Australian 40under40 Award Elected Optica Fellow (2024) Prof. Kennedy has secured over $15 million in competitive research grants and $5 million in industry contracts, driving translational projects like OncoRes Medical, a startup commercializing his optical imaging innovations. He holds 40+ patents and co-founded BioZone, a UWA initiative fostering interdisciplinary biomedical research.

Jan De Beenhouwerمشاهده پروفایل

استاد

• X-ray Imaging
• Computed Tomography
• Image Processing
• +۳ مورد دیگر

Prof. Jan De Beenhouwer is a faculty member at the University of Antwerp, affiliated with the Department of Physics and the imec Vision Lab. His research focuses on advanced computational imaging techniques, particularly in X-ray tomography, phase contrast imaging, and reconstruction algorithms for medical and industrial applications. His primary research interests include: Development of novel X-ray imaging methodologies like edge illumination phase contrast Advanced CT reconstruction algorithms for sparse-view and dynamic systems Integration of deep learning with tomographic reconstruction Industrial applications including defect detection and material characterization Biomedical imaging such as bone structure analysis and tissue modeling Analysis of recent publications (2024-2025) reveals strong emphasis on: Innovations in phase contrast imaging hardware and simulation tools Advanced reconstruction techniques for motion compensation and sparse data AI-powered approaches for industrial inspection and biomedical research Development of open-source tools (CAD-ASTRA) for the tomography community He leads research at imec Vision Lab, focusing on both fundamental imaging physics and practical applications. The lab collaborates extensively with industrial partners on non-destructive testing solutions.

• Computational and Applied Mathematics
• Image Reconstruction
• Computational Imaging
• +۳ مورد دیگر

Dr. Gregery Buzzard is a Professor of Mathematics and Director of the Center for Computational and Applied Mathematics at Purdue University, within the College of Science. His research focuses on computational imaging, inverse problems, and biological systems modeling, with significant contributions to image reconstruction techniques like Plug-and-Play Priors and Consensus Equilibrium. He holds the SIAM Imaging Sciences Best Paper Prize (2020) and led collaborations on algorithms for electron microscopy, CT, and hyperspectral imaging. Current students include Haley Duba (Mathematics), Samin Nur Chowdhury (ECE), and Karl Weisenburger (Mathematics). His work bridges applied mathematics and engineering, emphasizing uncertainty quantification and optimal experimental design. Key projects involve dynamic sampling strategies for microscopy and tomography, as well as multi-agent consensus frameworks for distributed imaging systems. Buzzard also contributed to cellular signaling research, particularly T-cell and B-cell receptor dynamics. Education: Ph.D. in Mathematics (not explicitly stated but inferred from career path) Grants: Multiple grants supporting imaging and computational research (details omitted) Labs/Teams: Directs the Center for Computational and Applied Mathematics (CCAM) Publications: Over 50 peer-reviewed articles, including foundational work on PnP-MACE frameworks

• Biomedical Imaging
• X-ray Physics
• Synchrotron Radiation
• +۵ مورد دیگر

Dr. Martin Dierolf is a researcher at the Technical University of Munich (TUM), working within the Department of Physics and the Chair of Biomedical Physics led by Prof. Dr. Franz Pfeiffer. He is actively involved in research related to X-ray imaging, particularly focusing on the Munich Compact Light Source (MuCLS) and its applications in biomedical research. His work spans both the optimization of the MuCLS machine performance and the development of experimental methods for biomedical applications. Dr. Dierolf's primary research interests include: Optimization of the Munich Compact Light Source (MuCLS) for biomedical research Development of experimental and algorithmic methods for ptychography Biomedical applications of ptychographic coherent diffractive imaging (PCDI) Wave-field characterization of focusing optics Scanning transmission X-ray microscopy Grating-based phase-contrast imaging techniques His recent publications demonstrate a strong focus on advancing X-ray imaging techniques, particularly using compact light sources. His work spans from fundamental physics of X-ray optics to practical medical applications, with particular emphasis on breast imaging, renal tissue analysis, and cardiovascular applications. A significant portion of his recent work focuses on the Munich Compact Light Source and how to optimize its use for various biomedical applications. Dr. Dierolf has received recognition for his academic supervision, having been awarded the Supervisory Award of the Graduate Center of the TUM Department of Physics in both 2019 and 2021. He has also received Best Poster Awards at international conferences in 2008 and 2009. As an educator, Dr. Dierolf serves as a lecturer and teaching assistant for courses in Modern X-Ray Physics at TUM. He is scheduled to teach in the Winter term 2025/26, indicating his ongoing active role at the university. His research is conducted within the framework of the Munich Compact Light Source facility, which represents a significant advancement in making synchrotron-like X-ray sources accessible in laboratory settings. This work has potential applications across multiple biomedical fields, from cancer research to cardiovascular imaging.

• Quantum Optics
• Semiconductor Nanostructures
• Mid-IR Spectroscopic Imaging
• +۷ مورد دیگر

Professor Chris Phillips is a Professor of Experimental Solid State Physics at Imperial College London's Department of Physics, part of the Faculty of Natural Sciences. He leads the Optoelectronics section and holds affiliations with the Experimental Solid State Physics Group, Quantum Engineering, Science and Technology, and The Light Community. With over 280 publications and 26 PhD graduates, his research focuses on quantum optical effects in nanostructures, including semiconductor 'artificial atoms', quantum metamaterials for superlens applications, and mid-IR medical imaging for cancer diagnosis. He has pioneered Digistain technology, a quantitative method for cancer grading, and is exploring quantum ratchet solar cells for ultra-high efficiency energy conversion. His career spans 40+ years with roles including Dean of the Faculty of Natural Sciences (2009–present), international panel memberships, and BBC collaborations. He has secured over £10M in grants, predominantly from EPSRC. Awards include recognition for innovative undergraduate teaching. His research portfolio combines cutting-edge physics with clinical applications, emphasizing interdisciplinary collaboration. Scientific contributions span quantum metamaterials for sub-diffraction imaging, thresholdless THz lasers, and nanoscale chemical imaging of cellular structures. Public engagement includes science festivals in India/Kazakhstan and media appearances. Current projects include clinical trials of Digistain and quantum ratchet solar cell prototyping.

Anne Bonninمشاهده پروفایل

پژوهشگر

• Bioimaging
• Cardiac Imaging
• X-ray Tomography
• +۴ مورد دیگر

Dr. Anne Bonnin serves as a Beamline Scientist at the Paul Scherrer Institute (PSI) in Switzerland, where she has been instrumental in X-ray imaging research since joining the X-ray Tomography Group in 2014 and assuming her current role at the TOMCAT Beamline in 2016. Affiliated with PSI's Center for Photon Science and Laboratory for Macromolecules and Bioimaging, she operates at the forefront of synchrotron-based imaging techniques. Her academic foundation includes a PhD from INSA de Lyon focused on material properties for explosive detection, followed by postdoctoral work at the European Synchrotron Radiation Facility (ESRF) in X-ray diffraction and phase contrast tomography, and an NSF Research Fellowship for paleontology research at Harvard University and ESRF. Specializing in X-ray imaging (micro/nano-tomography, phase-retrieval) and powder diffraction, Dr. Bonnin leads the bioimaging program at TOMCAT with particular emphasis on the international Heart Imaging Project. Her research develops novel methodologies for materials characterization across diverse domains including cardiac microstructure analysis, paleontology, and neurodegenerative disease modeling, with significant contributions to understanding material behavior at microscopic scales. Her recent publications (2019-2021) demonstrate strong interdisciplinary impact, advancing X-ray imaging applications in energy storage (battery materials), biomedical research (cardiac/auditory systems), and materials engineering (aerogels). A defining trend is the integration of machine learning for image analysis, alongside methodological innovations like non-rigid image stitching and Fourier ptychography. These works reflect extensive international collaboration and address critical challenges in healthcare, energy, and fundamental material science. Dr. Bonnin leads the Heart Imaging Project to quantify cardiac microstructure using contrast-agent-free X-ray phase-contrast imaging, while actively contributing to the SLS2.0 upgrade project preparing TOMCAT for multiscale, multimodal, and dynamic tomographic capabilities. Her collaborative framework spans global researchers in materials science, paleontology, and biomedical engineering. As manager of the TOMCAT nanoscope—a full-field imaging setup achieving 150 nm 3D resolution—she enables cutting-edge research in absorption and phase-contrast imaging. Her team within the X-Ray Tomography Group drives the bioimaging program forward, particularly through the Heart Imaging Project's dynamic cardiac studies using modified Langendorff setups.

• Atomic Resolution Imaging
• Electron Microscopy
• Theoretical Physics
• +۳ مورد دیگر

Scott Findlay is an Associate Professor in the School of Physics and Astronomy at Monash University. He holds an ARC Future Fellowship (2020–present) and has expertise in theoretical physics and advanced electron microscopy techniques. His research focuses on atomic resolution imaging via scanning transmission electron microscopy (STEM), including novel detector geometries, compositional analysis of nanostructures, and quantitative structure determination. He has led multiple ARC-funded projects, including 'UltraTEM' and 'Nanoscale field mapping in functional materials.' Education: PhD in Physics (Theoretical Aspects of Scanning Transmission Electron Microscopy), The University of Melbourne (2005) BSc (Hons) in Physics, The University of Melbourne (2001) Research Interests: Developing theoretical models and numerical simulations to enhance STEM capabilities, particularly in dynamic scattering analysis. Current projects include optimizing segmented/pixel detectors for imaging, quantifying material composition at the nanoscale, and analyzing thick nanostructures. Articles Trends: Recent work emphasizes 4D-STEM advancements, including denoising algorithms, scattering matrix reconstruction, and atom-counting techniques. His research bridges theory and experiment, addressing challenges in dynamical scattering and phase retrieval. Awards: AMMS Microscopy and Microanalysis Award (2018) Exceptional Educational Service Award (2021) Outstanding Reviewer for Microscopy and Microanalysis (2017) Advising & Grants: Supervises PhD students and has secured over AUD 10 million in ARC grants. Coordinates Monash's Level 2 Physics curriculum and chairs the School's Education Committee. Labs/Teams: Collaborates with institutions like the University of Tokyo and the University of Melbourne on projects such as magnetic field mapping and electron ptychography.