Dr Gavin Paterson is a Researcher at the School of Psychology & Neuroscience, University of Glasgow. His work focuses on medical physics applications in neuroscience, particularly involving advanced MRI technology development and neurophysiological signal analysis. He has contributed to 7T MRI coil design, high-field imaging safety protocols, and studies on neural oscillations in visual processing. His research interests span biomedical engineering solutions for neuroimaging, including multi-channel transmit arrays and EEG-MRI integration. He has collaborated on projects analyzing causal brain network interactions using MEG data and investigating alpha-band modulations in visual pathways. Notable contributions include developing an 8-channel transmit 32-channel receive 7T head coil and validating close-fitting transceiver coils at 7T. His work bridges engineering innovations with cognitive neuroscience insights, emphasizing both hardware development and neurophysiological mechanisms.
Mark D Does is a Professor of Biomedical Engineering, Radiology and Radiological Sciences, and Electrical Engineering at Vanderbilt University’s School of Engineering. His research focuses on developing MRI methods to characterize tissue microstructure, composition, and function. Current projects include optimizing MRI tools for studying neuronal microstructure in small animal models, improving fracture risk assessment via UTE MRI of bone composition, and enhancing quantitative MRI precision using statistical models. Education: Ph.D., M.S., and B.S. in Biomedical and Electrical Engineering from the University of Alberta. Research interests emphasize advancing MRI technologies to address clinical challenges such as bone fragility and neurological disease. The Does Lab develops novel pulse sequences, analysis algorithms, and validation frameworks to translate imaging methods into practical clinical tools. Recent work explores axon diameter estimation, bioresorbable MRI sensors, and MRI-based bone quality assessment without X-rays. Publications highlight innovations in MRI parameter mapping, diffusion tensor imaging for nerve injury assessment, and applications in crocodilian phallic morphology and mammalian brain microstructure. His work bridges engineering and medicine, with a focus on improving diagnostic accuracy and non-invasive tissue characterization.
Jason Valentine is a Professor of Mechanical Engineering, Electrical and Computer Engineering, and Physics & Astronomy at Vanderbilt University's School of Engineering. He serves as the Director of Graduate Studies in Mechanical Engineering and Deputy Director of the Vanderbilt Institute of Nanoscale Science and Engineering (VINSE). His research focuses on optical metamaterials, plasmonics, nanophotonics, and scalable nanomanufacturing. He holds a Ph.D. in Mechanical Engineering from the University of California and a B.S. from Purdue University. Research interests include metamaterial-based optical systems, meta-optic accelerators for machine vision, and advanced nanophotonic devices. His work bridges fundamental optics and applied engineering, with applications in energy conversion, sensing, and imaging. Notable projects involve electrochemically actuated metasurfaces, meta-imagers for compact flow cytometry, and large-scale nanomanufacturing techniques. He has contributed to foundational studies on dielectric metamaterials and nonreciprocal optical systems. Grants include the NSF CAREER award for all-dielectric metasurface development (2014) and MRI funding for advanced fabrication tools (2017). His research is disseminated through high-impact publications and collaborations across engineering, physics, and biomedical fields.
Xinqiang Yan is a Research Associate Professor of Radiology & Radiological Sciences and a Research Assistant Professor of Electrical Engineering and Computer Science at Vanderbilt University's School of Engineering. He leads the Electric and Radiofrequency Lab at the Vanderbilt University Institute of Imaging Science (VUIIS), focusing on novel hardware and algorithmic advancements for MRI and MR-guided focused ultrasound (MRgFUS). His lab has secured eight NIH grants and holds multiple patents, including the self-decoupled coil (Nature Communications, worldwide patent), passive reflectional antennas, and RF-transparent B0 shimming coils. Dr. Yan earned his B.S. in Nuclear Physics from Lanzhou University (2009) and Ph.D. in Particle Physics from the Chinese Academy of Sciences (2014). After postdoctoral training at Vanderbilt, he joined the university’s research faculty in 2016. His research emphasizes improving MRI performance through innovations in RF coils, parallel transmission, and artifact reduction. He actively recruits students and postdocs for projects in MRI hardware development, software algorithms, and clinical translation. Key achievements include Magna Cum Laude Awards (ISMRM 2017) for self-decoupled coil and RAPS circuit innovations, and Best Poster Awards (ISMRM 2021-2022). His work spans MRI hardware miniaturization, bioresorbable RF circuits, and artifact mitigation in transcranial MRgFUS. The lab also develops RF-transparent shimming coils and wireless resonator arrays for high-resolution imaging of joints and soft tissues. Current NIH-funded projects aim to translate these technologies into clinical practice.
Evgeny Mirkes is a Lecturer in Applied Mathematics at the University of Leicester's School of Computing and Mathematical Sciences. He leads projects in data mining, biomathematics, and AI-driven decision systems. His expertise spans neural networks, predictive modeling, and software engineering for clinical applications. Key projects include computational diagnosis systems for veterinary medicine (e.g., lymphoma analysis) and geophysical data interpretation (e.g., borehole information analysis). Research interests focus on high-dimensional data analysis, including intrinsic dimension estimation, medical imaging, and robust AI systems. He has pioneered methods like ElPiGraph for data approximation and developed tools for accelerometer-based physical activity clustering. Notable contributions include frameworks for handling missing medical data and error correction in AI applications. His 2025 publications emphasize medical imaging advancements (e.g., myocardial scar segmentation, COPD staging) and theoretical work on fractional norms. Earlier works address social stress impacts on disease dynamics and gesture recognition for low-power devices. His work bridges computational methods with clinical, environmental, and behavioral domains. Mirkes has supervised numerous interdisciplinary projects, particularly in healthcare analytics and environmental data interpretation. His tools like Scikit-dimension and GGIR are widely used in research communities. Current efforts include developing interpretable AI models and addressing biases in medical datasets.
Edward Walsh is an Adjunct Assistant Professor and active research scientist affiliated with Brown University's Department of Neuroscience and the Veterans Administration Medical Center in Providence, RI. He also serves as Associate Director for MRI Physics at the Brown University Magnetic Resonance Facility within the Brain Science Program. His career spans multiple institutions, with prior research and academic appointments at the University of Alabama at Birmingham across Biomedical Engineering, Nursing, and Vision Sciences departments. His educational background includes a Ph.D. in Biomedical Engineering from Worcester Polytechnic Institute (1992) and a B.S. in Electrical Engineering from the same institution (1981). Ph.D., Biomedical Engineering, Worcester Polytechnic Institute, 1992 B.S., Electrical Engineering, Worcester Polytechnic Institute, 1981 Walsh’s research is centered on medical imaging physics , particularly MRI instrumentation and quantitative MRI techniques applied to cardiovascular, musculoskeletal, and neurological systems. His work bridges engineering and clinical neuroscience, focusing on developing and refining MRI methods for assessing tissue integrity, perfusion, and metabolic function. He has made significant contributions to T2* relaxometry, oxygen extraction fraction measurement, and functional skeletal muscle imaging. The 15 most recent publications reflect a strong trend in quantitative musculoskeletal MRI , cerebrovascular perfusion imaging in aging , and technical innovations in MRI hardware and reconstruction . The articles span orthopedic applications (ACL, PCL), neurogeriatrics (hypertension, anxiety, cognition), and novel imaging modalities (X-ray, MT, T2*), demonstrating a multidisciplinary approach rooted in physics and engineering. Edward Walsh holds multiple U.S. patents in medical imaging technologies, including MRI-compatible stents, tumor-targeting agents, and high-field resonators. Notable inventions include: Resonant Inductively Coupled NiTi Stent with Ablation Capability and MRI Imaging Compatibility (U.S. Patent 6,802,857) Large Volume Resonator for High Field MRI (U.S. Patent 6,590,393) Functional Skeletal Muscle Imaging (U.S. Patent 6,546,278) Ferritin-Based Tumor Targeting Agent (Patent Pending) Graphene Nanosack-Based Contrast Agent (Patent Pending) Walsh has collaborated extensively with clinical and engineering researchers, contributing to studies on ACL repair, cerebral perfusion, and hepatocellular carcinoma detection. While no formal students are listed, his role as a research professor and associate director suggests mentorship and team leadership. He has no listed grants explicitly, but his sustained research output and patent activity imply ongoing funding support, likely from federal or institutional sources. He is actively involved in the Brown University Magnetic Resonance Facility , where he leads MRI physics development, supporting brain science and clinical research. His work continues to influence both technical and applied aspects of biomedical imaging.
Alexander Raaijmakers is an Assistant Professor with a joint position at Eindhoven University of Technology and University Medical Center Utrecht. He specializes in RF engineering for ultrahigh field MRI, body imaging at 7T+, and RF safety. His current projects involve developing hardware and sequences for clinical adoption of ultrahigh field MRI, with applications in heart, prostate, breast, liver, and kidney imaging. Educations: MSc in Applied Physics (University of Groningen, 2004) | PhD in Radiotherapy Physics (University Medical Center Utrecht, 2008) His research focuses on advancing MRI technology through innovations like dipole antennas in coil arrays, electromagnetic field optimization, and translational applications to 3T systems. He leads a team of 5 PhD students, 1 postdoc, and 2 RF engineers. Publications span MRI hardware innovation, RF safety methodologies, and deep learning-based image correction. Current projects emphasize clinical translation of ultrahigh field MRI while maintaining safety standards for implants and patients. Key Projects: 7 Tesla Research Group leadership | Dipole antenna integration in MRI coils
Dr. Murat SARAN is an Assistant Professor in the Department of Computer Engineering at Çankaya University, Ankara, Turkey. He serves as Director of the Distance Education Application and Research Center (DEARC), focusing on innovative educational technologies. His academic background includes a PhD (2009) and MSc (2003) in Computer and Educational Technologies from Middle East Technical University (1999-2009). Education: Bachelor's: Middle East Technical University, Computer and Educational Technologies (1999) Master's: Middle East Technical University, Computer and Educational Technologies (2003) PhD: Middle East Technical University, Computer and Educational Technologies (2009) Research Interests: Dr. SARAN specializes in Human-Computer Interaction, Gamification, and Mobile Learning. His work spans algorithmic thinking, context-aware systems, virtual reality integration in education, and data augmentation techniques for machine learning. He has contributed to projects addressing digital literacy in primary education and emotion recognition via computer vision. Key Projects: ICOINS (2018–2020): Developed Industry 4.0 training tools for SMEs (€203,858) Mesh-Based Mobile Education Platform (2012–2014): Managed a TL 373,128 project for SME/educational institutions HESAPRO (2011–2013): Analyzed health-safety-productivity links in workplaces (€103,000) Grants & Labs: His research has been supported by TÜBİTAK and EU grants. He leads the DEARC lab, focusing on distance education innovation and mobile learning systems.
Robert Brown is a Distinguished University Professor and Institute Professor in the Department of Physics at Case Western Reserve University. His career spans over 50 years in academic and industrial research, focusing on medical imaging (MRI, PET, CT), astroparticle physics, and physics education. He has pioneered innovations in electromagnetic sensors, superconductivity, and disease detection devices, notably founding Quality Electrodynamics (QED), later part of Canon Medical Systems. His work includes over 200 publications, 250 patents (16 co-authored), and mentoring over 100 students across disciplines. Notable achievements include the 'Patent for Humanity' award for malaria detection technology and Forbes recognition for QED as a top young company. Key Research Groups: OPTIMISE (medical imaging systems), Crystics LLC (disease diagnostics) Major Projects: Electro-gravity engine failure monitor, magneto-optical disease detectors, GRE flashcard educational tools Awards: USPTO's Patent for Humanity, Forbes 20 Best Young Companies (2009) Research interests integrate applied physics with entrepreneurship, emphasizing interdisciplinary solutions in healthcare and technology. His educational contributions include award-winning chaos theory modules and textbooks, addressing pedagogical challenges like 'Teflon education' and 'post-exam syndrome'.
Dr. Qiang Yu is a Postdoctoral Research Fellow at the Thompson Institute, University of the Sunshine Coast (UniSC), Australia. His research focuses on neuroimaging applications for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), integrating advanced MRI techniques and machine learning to advance precision medicine. He holds a PhD in Computational and Applied Mathematics from Queensland University of Technology (QUT, 2013) and completed postdoctoral fellowships at the University of Queensland (UQ) and QUT, specializing in anomalous diffusion modeling in MRI. Education: PhD (Computational and Applied Mathematics), Queensland University of Technology (2013) MSc (Computational Mathematics), Xiamen University, China (Year not specified) BSc (Applied Mathematics), Fujian Agriculture and Forestry University, China (Year not specified) Research Interests: Dr. Yu’s work bridges mathematical modeling and biomedical imaging, particularly in developing fractional calculus-based models for MRI tissue analysis. His key areas include: Anomalous diffusion modeling in biological tissues White matter microstructure characterization via diffusion MRI Fractional-order Bloch equations for MRI signal analysis ME/CFS neuroimaging patterns and clinical subtyping Publications Trends: His recent articles emphasize MRI-based diagnostic advancements, including diffusion metrics for ME/CFS subtypes, fractional models for tissue relaxation, and algorithmic innovations in medical image processing. These contributions highlight interdisciplinary synergy between computational mathematics and clinical neurology. Awards & Memberships: Executive Dean’s Commendation Award, QUT (2013) Outstanding Doctoral Thesis Award, QUT (2013) Editorial Board Member, Applied and Computational Mathematics (2022–2024) Grants & Projects: University of Queensland Postdoctoral Fellowship ($287,945, 2014–2016): Modeled anomalous diffusion in MRI for tissue microstructure characterization Collaborations on distributed-order fractional models and IVIM MRI methodologies Labs & Teams: Affiliated with the Thompson Institute’s ME/CFS neuroimaging program and the Centre for Advanced Imaging (UQ). His work intersects with clinical trials and advanced MRI hardware development for high-resolution brain imaging.
Wenjun Wang is a Postdoctoral Researcher at the Department of Health Technology, Technical University of Denmark (DTU), specializing in electromagnetic systems for magnetic resonance imaging. His work focuses on hyperpolarization techniques and cryogenic receiver arrays to enhance signal detection in metabolic diagnostics, with significant contributions to advancing 3T MRI hardware through innovative engineering solutions. Wang's research centers on Magnetic Resonance Imaging, hyperpolarization for nuclear spectroscopy, and cryogenic RF coil design. He develops methods to improve signal-to-noise ratio (SNR) using liquid nitrogen-cooled preamplifiers and matching networks, addressing critical challenges in metabolic imaging for sensitive biochemical process detection. His expertise spans noise figure optimization, preamplifier decoupling, and multi-channel array design for human head applications. Analysis of his recent publications reveals a cohesive focus on practical MRI hardware innovation. Key themes include cryogenic 14-channel arrays for hyperpolarized carbon-13 imaging, H-field probe calibration for RF current measurement, and noise figure modeling in low-impedance circuits. These works collectively push metabolic MRI boundaries at 3 Tesla field strength, emphasizing clinical translation of hyperpolarization technology for brain diagnostics. Wang completed his PhD in January 2023 at DTU with the project "Cryogenic Array Coli for Brain MRI" under supervisors V. Zhurbenko and J.H. Ardenkjær-Larsen. His doctoral research investigated SNR enhancement through cryogenic array technology and electronic circuit optimization, forming the foundation for his current postdoctoral work. He operates within DTU's Electromagnetic Systems research group, collaborating closely with the Hyperpolarization Lab on cutting-edge projects involving cryogenic receiver arrays and hyperpolarization systems for metabolic diagnostics, contributing directly to UN Sustainable Development Goals in healthcare innovation.
Stefan Skare is an Adjunct Professor at the Department of Clinical Neuroscience, Karolinska Institutet (2022–2026), with a primary role as MR Physicist at Karolinska University Hospital. His research focuses on developing ultrafast MRI techniques and real-time motion correction systems to enable anesthesia-free MRI for pediatric patients . He leads a research group collaborating with GE Healthcare and Karolinska University Hospital engineers, creating globally adopted tools like NeuroMix and KS Foundation for simplified MRI programming. Doctor of Philosophy, Karolinska Institutet (2002) Recipient of Swedish Childhood Cancer Fund grant (SEK 3.9M over 3 years) for motion-robust MRI in pediatric oncology His work addresses critical challenges in neuroradiology , including reducing scan times from 20–30 minutes to under 3 minutes via proprietary software while maintaining diagnostic quality. Key innovations include: Tracoline : Real-time optical motion tracking for head movement compensation WRAD : Wireless RF sensor for 3ms latency motion correction Snapshot SWI-EPI : Motion-boosted susceptibility imaging NeuroMix : Single-scan, multi-contrast brain exams Scientific contributions span diffusion-tensor imaging , fat/water separation algorithms , and 3D volumetric analysis , with over 20 publications since 2020. His methods have been implemented in clinical settings worldwide, reducing sedation risks and healthcare system burdens.
Ross Venook is a Lecturer in the Department of Bioengineering at Stanford University and Supervisor of the Biodesign Collaboratory. He earned his BS, MS, and PhD in Electrical Engineering from Stanford (2000, 2002, 2006), focusing on hardware methods for MRI during his graduate studies. Educated at Stanford University (BS, MS, PhD in Electrical Engineering) Co-founder of Boston Scientific Neuromodulation's MRI safety team Active contributor to international MRI safety standards Teaches Biodesign Innovation courses at Stanford Ross specializes in biomedical engineering, with particular emphasis on MRI safety , medical device innovation , and collaborative learning environments . His work bridges engineering principles with clinical applications, particularly in cardiovascular disease pathophysiology and senior capstone design projects. Scientific Achievements: Biodesign Fellowship recipient Boston Scientific R&D Fellow Key figure in developing international MRI safety standards Ross actively mentors students through independent studies and courses like BIOE 392, BIOE 191, and BIOE 391. He teaches a range of Biodesign Innovation courses focusing on needs finding, concept creation, and implementation, as well as classes on evidence-based teaching and bioengineering prototyping.
Sudhin Shah is an Assistant Professor in Neuroscience at Weill Cornell Medicine's Graduate School of Medical Sciences. His research program centers on traumatic brain injury (TBI), neuroimaging, and cognitive rehabilitation, with a strong emphasis on developing translational neurotechnologies. His investigations span: Advanced Neuroimaging : Longitudinal multimodal studies of TBI recovery using MRI, EEG, and novel biomarkers Neurotechnology Innovation : Creating tools like EEG artifact removal algorithms (ARMBR) and brain-computer interfaces for disorders of consciousness Clinical Applications : Validating assessment scales for pediatric neurorehabilitation and optimizing pharmacotherapy protocols Mechanistic Insights : Exploring thalamic degeneration post-TBI, neuroinflammation pathways, and neural state dynamics Recent publications demonstrate a consistent focus on: Biomarker discovery for outcome prediction Neurophysiological correlates of cognitive dysfunction Intervention development for TBI rehabilitation Methodological innovations in electrophysiology with substantial work in pediatric populations and aging-related neurodegeneration.
Douglas Ballon is a Professor of Physics in Radiology at Weill Cornell Medical College and Professor of Genetic Medicine. He serves as the Founding Director of the Citigroup Biomedical Imaging Center (CBIC), a comprehensive $80 million imaging facility supporting nearly 100 investigators from 15 academic institutions. His work bridges physics, radiology, and genetic medicine with a focus on developing quantitative imaging biomarkers for applications in gene therapy and neurodegenerative diseases. Ballon received his Ph.D. in experimental nuclear physics from Rutgers University in 1985 and completed postdoctoral work in medical physics at Memorial Sloan Kettering Cancer Center from 1985-1988. He joined the faculty at Sloan Kettering before moving to Weill Cornell in 2001 to establish the Citigroup Biomedical Imaging Center. His research primarily focuses on developing quantitative imaging biomarkers for genetic medicine applications, particularly for studying viral vector biodistribution in gene therapy and measuring whole-body immune responses. His laboratory has pioneered techniques for non-invasive biomarker panels for CLN2 disease (a pediatric neurodegenerative disorder), developed methods for monitoring adeno-associated viral vectors using radioiodination and PET imaging, and created MRI techniques for bone marrow hematopoiesis studies. His work has significant implications for improving gene therapy delivery systems and monitoring therapeutic responses in neurodegenerative conditions. Analysis of Ballon's recent publications reveals a strong focus on viral vector biodistribution tracking using PET imaging, development of imaging biomarkers for neurodegenerative diseases (particularly CLN2/Batten disease), and innovations in MRI hardware and techniques. His work consistently bridges basic physics principles with clinical applications, demonstrating translational impact from laboratory techniques to human therapeutic monitoring. Best Poster Award at New York Academy of Sciences conference on Blood Brain Barrier (2011) First non-invasive quantitative imaging biomarker for bone marrow cellularity First demonstration of whole-body imaging of hematologic malignancies First magnetic resonance angiogram of human prostate tissue First robust quantitative whole-body tracking of adeno-associated viral vector biodistribution First non-invasive quantitative imaging biomarker for anti-capsid immunity Ballon leads a research group developing imaging techniques for genetic medicine applications. His lab has secured significant NIH funding including R01 EB027918 for rapid non-invasive whole-body imaging of gene transfer vectors, U54NS065768 for CLN2 disease biomarkers, and R01EB002070 for bone marrow hematopoiesis studies. His team includes research associates, postdoctoral fellows, and graduate students working on MRI coil development, viral vector tracking, and biomarker validation. The Ballon Laboratory within the MRI Research Institute (MRIRI) focuses on developing quantitative imaging biomarkers for genetic medicine, with particular emphasis on studying viral vector biodistribution in gene therapy and measuring whole-body immune responses. The lab has achieved several 'firsts' in imaging techniques and maintains strong collaborations with the Sloan Kettering Institute through the Graduate School of Medical Sciences partnership.
