Gianmarco Pinton is an Associate Professor in the Department of Biomedical Engineering at the University of North Carolina at Chapel Hill. His research focuses on nonlinear ultrasound and mechanical wave propagation, with applications to medical imaging and therapy. He specializes in traumatic brain injury, shear shock waves, and ultrasound therapy. Ph.D., M.S., and B.S.E. in Biomedical Engineering/Physics from Duke University His lab develops physics and simulation tools for nonlinear wave propagation, aiming to create advanced diagnostic ultrasound methods. Key areas include traumatic brain injury, transcranial imaging, and therapeutic ultrasound. His recent work explores super-resolution imaging, brain motor circuits, and Alzheimer's disease vascular mapping using ultrasound. Article trends highlight innovations in transcranial ultrasound, super-resolution techniques, lung imaging, and neuromodulation. His publications address image degradation, contrast agents, and shear wave dynamics in neurological contexts.
Dr. Manuel Carro Dominguez is a Researcher at the Department of Neural Control of Movement, ETH Zürich. His work focuses on understanding the neural mechanisms underlying sleep dynamics, arousal regulation, and their impact on motor performance and cardiovascular function. He specializes in techniques such as auditory stimulation, pupil-based neurofeedback, and EEG/ECG monitoring to explore sleep oscillations, cortical excitability, and their clinical applications. His research bridges neuroscience, biomedical engineering, and sleep medicine, with a particular emphasis on enhancing human physiology through targeted interventions during sleep. Key research interests include: sleep modulation via auditory stimuli, pupilometry as a marker of arousal states, and the development of medical devices for gas sensing and closed-loop biofeedback systems. His studies often integrate multidisciplinary approaches to address translational challenges in neurophysiology and cardiovascular health. Recent publications highlight advancements in auditory stimulation effects on cardiac function, the role of K-complexes in sleep dynamics, and the design of gas sensing technologies for biomedical applications. His work contributes to both fundamental neuroscience and applied biomedical engineering, aiming to improve clinical outcomes through innovative sleep-based interventions.
Amir Asif is a Professor at the Lassonde School of Engineering, York University, and concurrently serves as Vice President, Research and Innovation. His academic leadership roles include Dean of the Gina Cody School of Engineering and Computer Science at Concordia University (2014-2020). He specializes in signal processing, communications, and their applications in healthcare, power grids, and distributed systems. Asif holds a PhD from Carnegie Mellon University and a Harvard certification in executive leadership. Education: PhD, Electrical and Computer Engineering, Carnegie Mellon University (1996) MS, Electrical and Computer Engineering, Carnegie Mellon University (1993) BSc, University of Engineering and Technology Lahore (1990) Harvard Certificate in Leadership for Senior Executives (2018) Research Interests: Asif’s work spans signal processing for medical imaging (e.g., ultrasound elastography), smart grid optimization, and cybersecurity in power systems. His recent publications address hydrogen energy systems, EMG-based gesture recognition, and resilient control frameworks against cyberattacks. Grants & Leadership: He leads NSERC-funded projects on federated learning and resilient algorithms. He chairs the Ontario Council of University Research and serves on TRIUMF Innovations and the Richmond Hill Board of Trade. His grants include SSHRC funding for equity initiatives and NSERC support for distributed signal processing. Teaching & Mentorship: Asif has supervised over a dozen graduate students and taught courses like Digital Communications and Statistical Signal Processing Theory. Notable advisees include Arash Mohammadi (PhD, 2014) and Nick Sajadi (PhD, 2017).
Associate Professor Andre Kyme is an academic staff member in the School of Biomedical Engineering at The University of Sydney. His research focuses on developing enabling technologies for biomedical imaging, including motion compensation in MRI/PET, robotic platforms for image-guided therapy, and cross-disciplinary applications like plant salt uptake analysis using PET. He collaborates with institutions globally and advises students on projects like lameness detection in horses and AI-based motion correction. Research Interests: Kyme's work spans motion correction in medical imaging modalities, medical robotics integration with imaging systems, and innovative applications of imaging technologies in non-traditional fields. His team emphasizes leveraging advancements in computer vision, machine learning, and instrumentation to improve imaging performance and accessibility. Recent Projects: Current research includes MRI-compatible robotic platforms for therapy applications, AI-driven lameness detection in horses, and pediatric neuroimaging improvements. He leads the BREEZE initiative to enhance MRI accessibility for children with cerebral palsy through eye-gaze communication technology. Publications: His work spans 20+ years with over 50 peer-reviewed publications in journals like Physics in Medicine and Biology and IEEE Transactions. Key areas include PET/SPECT/CT motion correction algorithms, robotic systems for medical imaging, and novel imaging applications in plant science. Teaching: Kyme instructs core biomedical engineering courses including thesis supervision and capstone projects at both undergraduate and postgraduate levels. Labs/Teams: Active in the Brain and Mind Centre and Biomedical Imaging, Visualisation and Information Technologies groups at Sydney. Collaborates with industry partners like TeleMedVet and academic institutions including University of California Davis and Chinese University of Hong Kong.
Dr. Emily Lee serves as an Assistant Professor at Yale School of Medicine in the Department of Obstetrics, Gynecology & Reproductive Sciences, with a clinical focus in Maternal-Fetal Medicine. She completed her Maternal-Fetal Medicine fellowship at Yale in 2023 following her Obstetrics & Gynecology residency at UCLA. Dr. Lee earned her MD from the University of Michigan and completed her undergraduate studies at Yale University with a BA in Economics and Religious Studies. Dr. Lee's research primarily focuses on advancing fetal monitoring techniques, particularly in the areas of obstetric ultrasound and non-invasive fetal electroencephalography. Her work explores innovative approaches to prenatal diagnosis, fetal development assessment, and improving clinical outcomes in complex pregnancies including twin gestations. She has developed simulation-based educational programs for obstetric ultrasound training that enhance clinical skills for medical learners. Her recent publications demonstrate a strong emphasis on improving diagnostic accuracy in fetal cardiac assessment, understanding the implications of maternal obesity on prenatal procedures, and developing novel methods for non-invasive fetal neurological monitoring. Dr. Lee's research bridges clinical practice with technological innovation in maternal-fetal medicine. Among her notable recognitions are the prestigious 2024 Blavatnik Award and the Yale Innovation Summit Blavatnik Accelerator Award in 2023, highlighting her contributions to medical innovation. She has also received the Best Maternal-Fetal Medicine Oral Presentation award from the New England Perinatal Society in 2023, along with earlier recognition for her research at UCLA and international conferences. Dr. Lee actively contributes to medical education through her Point-of-Care Ultrasound Simulation Curriculum and regularly presents on topics including substance use in pregnancy, marijuana usage effects, and advanced fetal monitoring techniques. Her work with the Reproductive Sciences department at Yale focuses on translating research into clinical practice to improve maternal and fetal outcomes.
Daniel B. Vigneron, PhD is a Professor at the University of California, San Francisco (UCSF) Department of Radiology and Biomedical Imaging. He serves as Director of the Hyperpolarized MRI Technology Resource Center (HMTRC), Director of Human Imaging Core Services, Director of Advanced Imaging Technologies SRG, and Operations Director of the Surbeck Laboratory for Advanced Imaging. As a core member of the UCB/UCSF Graduate Group in Bioengineering, Vigneron has established himself as a leader in molecular imaging research with over three decades of experience at UCSF. Vigneron's research focuses on developing advanced functional and metabolic MRI techniques, particularly hyperpolarized carbon-13 technology, for studying prostate cancer, brain tumors, and other diseases. His work enables non-invasive imaging of metabolic processes, allowing clinicians to monitor therapy effectiveness and guide treatments. The HMTRC, which he founded in 2011 with NIH funding and recently secured a 5-year renewal for, has supported 20 external projects domestically and 15 internationally, produced 239 publications, and trained 149 researchers. Vigneron's lab develops novel coil and software techniques for high-field MRI, MR spectroscopy, and diffusion imaging at 3T and 7T for studying brain, prostate cancer, and other organs. His recent publications demonstrate a clear trajectory toward clinical translation of hyperpolarized carbon-13 MRI across multiple organ systems. The research spans abdominal imaging with advanced denoising techniques, cardiac metabolism studies, whole-brain coverage applications, and cerebral perfusion analysis. This work represents a significant shift from basic science toward practical clinical applications in oncology, cardiology, and neurology, with particular emphasis on standardization for multi-center studies. Scientific Awards: 2022 Outstanding Faculty Mentoring Award from UCSF Department of Radiology and Biomedical Imaging Vigneron has mentored 149 trainees throughout his career, with several former students now serving as faculty members including Duan Xu, Peder Larson, and Susan Noworolski. As Principal Investigator overseeing eight grants, he has secured significant NIH funding for the HMTRC and other research initiatives. His administrative leadership extends to co-chairing the department's Safety and Compliance Committee, where he has helped establish robust safety protocols for PET-MR programs. Vigneron's mentoring philosophy emphasizes adapting to individual needs at different career stages, moving from instructor to coach to manager to cheerleader as trainees progress. The Vigneron Lab, located in Byers Hall on the UCSF Mission Bay campus, operates within the Surbeck Laboratory for Advanced Imaging. The lab group develops novel acquisition techniques and hardware for multinuclear MR spectroscopy, with particular focus on hyperpolarized carbon-13 metabolic imaging. The HMTRC serves as a hub for team science, bringing together researchers from diverse disciplines to advance metabolic imaging technology and its clinical applications.
Peter A. Tass is a Professor of Neurosurgery at Stanford University's School of Medicine, where he leads the Tass Lab within the Department of Neurosurgery. His research focuses on developing groundbreaking neuromodulation techniques designed to impact the course of neurological diseases including Parkinson's disease, stroke, epilepsy, and tinnitus. The Tass Lab is part of several prestigious Stanford initiatives including Bio-X, the Wu Tsai Human Performance Alliance, the Maternal & Child Health Research Institute (MCHRI), and the Wu Tsai Neurosciences Institute. MD from Universities of Ulm and Heidelberg, Germany (1989) PhD in Physics from University of Stuttgart, Germany (1993) Diploma (master's degree) in Mathematics from University of Stuttgart, Germany (1993) Habilitation thesis in Physiology from RWTH Aachen University, Aachen, Germany (2001) Dr. Tass's primary research interests center around computational neuroscience approaches to understanding and treating neurological disorders. His lab pioneers neuromodulation techniques based on thorough computational modeling that employs dynamic self-organization, plasticity, and other neuromodulation principles to produce sustained therapeutic effects after stimulation. He specifically focuses on developing stimulation methods that cause sustained neural desynchronization by unlearning abnormal synaptic interactions. His work spans both invasive techniques like deep brain stimulation and non-invasive approaches such as vibrotactile and acoustic stimulation. Current projects involve developing novel therapies for Parkinson's disease, epilepsy, tinnitus, and other neurological conditions using comprehensive computational neuroscience methods derived from non-linear dynamics, statistical physics, and numerics. Analysis of Dr. Tass's recent publications reveals a strong focus on coordinated reset stimulation techniques, neural network modeling with plasticity mechanisms, and computational approaches to brain stimulation. His work consistently bridges theoretical computational neuroscience with clinical applications, particularly for Parkinson's disease treatment. A significant portion of his recent research examines how stimulation parameters, sequences, and timing affect long-lasting desynchronization effects in neural networks. His publications demonstrate an interdisciplinary approach combining physics, mathematics, neuroscience, and clinical medicine to develop novel therapeutic interventions. Member of the European Academy of Sciences and Arts (2012) Nicolaus August Otto Innovation Prize (2011) German Innovation Award in Medicine (2011) Rapid Response Innovation Awards from The Michael J. Fox Foundation (2009, 2010) Runner-up for the German future prize (2006) Erwin Schrödinger prize (2005) Fritz Winter prize (2000) Dr. Tass actively mentors a diverse team of researchers including staff scientists, postdoctoral fellows, clinician-scientists, and students. His lab currently includes researchers with backgrounds in physics, computational neuroscience, biomedical engineering, and clinical neurology. The lab is involved in multiple clinical trials, including studies on coordinated reset spinal cord stimulation and vibrotactile coordinated reset stimulation for Parkinson's disease. His research is supported by various funding sources including foundations focused on neurological disorders and innovation in medical technology. Dr. Tass collaborates extensively with both internal Stanford researchers and external collaborators worldwide. The Tass Lab at Stanford is a multidisciplinary research group comprising physicists, neuroscientists, engineers, and clinicians working together to develop novel neuromodulation therapies. The lab team includes staff scientists like Justus Kromer (theoretical physicist), postdocs like Daniel Ehrens and Kanishk Chauhan, clinician-scientists like Tina Munjal, and clinical research coordinators. The lab maintains active collaborations with Stanford colleagues across departments including Kwabena Boahen, Vivek P. Buch, and Jaimie Henderson, as well as external collaborators like Alexander Neiman and Kęstutis Pyragas. Current research directions include developing non-invasive vibrotactile treatments for Parkinson's disease, acoustic coordinated reset therapy for tinnitus, and responsive deep brain stimulation for conditions like loss-of-control eating.
Professor Patrick Harter is a faculty member at the Institute of Neuropathology, Ludwig Maximilian University of Munich (LMU), where he leads research in neuro-oncology and molecular diagnostics of CNS tumors. His work focuses on glioblastoma, meningioma, and brain metastasis, with emphasis on epigenetic mechanisms like DNA methylation and metabolic adaptations in the tumor microenvironment. Research interests span: Molecular classification of brain tumors using DNA methylation profiling Therapeutic targeting of BRAF/MEK and PI3K/Akt/mTOR pathways Role of hypoxia and metabolic plasticity in treatment resistance Liquid biopsy development for non-invasive tumor monitoring His recent publications demonstrate a strong trend toward integrating epigenetic, metabolic, and immunotherapeutic approaches. Articles frequently explore: Novel biomarkers for tumor grading and prognosis Mechanisms of therapy resistance in gliomas Impact of tumor microenvironment on metastasis
David R. Raleigh, MD, PhD, is an Assistant Professor in the Departments of Radiation Oncology and Neurological Surgery at the University of California San Francisco (UCSF). He serves as a Principal Investigator at the Brain Tumor Center and Director of the Preclinical Therapeutics Core. Education: BA in Molecular and Cell Biology and Cognitive Science (UC Berkeley, 2004), MD and PhD in Pathology (University of Chicago, 2012), Residency in Radiation Oncology (UCSF, 2017) His research focuses on the molecular mechanisms of brain tumor growth, particularly meningiomas, integrating developmental biology with oncology to identify novel treatments. Methodologies include biochemistry, mouse genetics, genomics, and pharmacology. Dr. Raleigh's recent publications highlight molecular classification of meningiomas, genomics, and targeted therapies. Awards include Phi Beta Kappa, multiple travel grants, and the Robert and Ruth Halperin Endowed Chair in Meningioma Research.
Adrian Chan is a Professor at Carleton University's Department of Systems and Computer Engineering, Faculty of Engineering and Design. He holds the title of Director of the Research and Education in Accessibility, Design, and Innovation (READi) program. His expertise spans biomedical engineering, signal processing, and accessibility technologies. Education: Ph.D. in Electrical Engineering (University of New Brunswick), M.A.Sc. in Electrical Engineering (University of Toronto), B.A.Sc. in Computer Engineering (University of Waterloo). Research focuses on non-invasive sensors, biomedical signal/image processing, machine learning, and accessibility solutions. Notable projects include the Abilities Living Laboratory and collaborations with healthcare institutions like The Ottawa Hospital. His work addresses challenges in neonatal transport safety, placental imaging for maternal health, and wearable medical devices. Publications highlight advancements in AI-driven ECG analysis, histopathology segmentation, and clinical monitoring systems. Over 150 students have been mentored, with many securing prestigious awards. Awards include the 2024 CMBES Fellowship, 2023 Carleton Research Achievement Award, and 2012 3M Teaching Fellowship. Grants include NSERC CREATE programs and CFI funding for the Abilities Living Laboratory. Leadership roles include interim Assistant Vice-President (Academic), Associate Dean (Graduate Programs), and Shad Valley Program Director. Active in community initiatives like the READi training program and accessibility advocacy.
Angela Kashuba, Ph.D., is the John A. and Margaret P. McNeill, Sr. Distinguished Professor and Chair of the Division of Pharmacotherapy and Experimental Therapeutics at the UNC Eshelman School of Pharmacy. She serves as Director of the Clinical Pharmacology and Analytical Chemistry Core at the UNC Center for AIDS Research. Her research focuses on optimizing HIV treatment, prevention, and cure strategies through clinical pharmacology and analytical chemistry, with an emphasis on antiretroviral drug distribution in tissues and adherence monitoring. Education: Bachelor of Science in Pharmacy, University of Toronto (Canada) General Practice Residency, Women’s College Hospital (Toronto) Critical Care Pharmacy Practice, Mount Sinai Hospital (Toronto) Pharm.D., State University of New York at Buffalo Postdoctoral Pharmacology Training, Bassett Healthcare Clinical Pharmacology Research Center Research Interests: HIV drug pharmacokinetics and tissue distribution Development of novel adherence monitoring techniques (e.g., mass spectrometry imaging of hair) Optimizing dosing strategies for HIV prevention and cure interventions Impact of sex, gender, and comorbidities on drug efficacy Long-acting drug delivery systems (e.g., implants, biodegradable formulations) Grants & Projects: NIH P30-AI50410: UNC Center for AIDS Research Core NIH R01AI111891: Multi-Species Mechanisms of Drug Bio-distribution in HIV Tissue Reservoirs NIH/NIAID UM1AI126619: Collaboratory of AIDS Researchers for Eradication (CARE) Industry partnerships (e.g., Chimerix, TaiMed Biologics) Awards: Rawls-Palmer Progress in Medicine Award (ASCPT, 2023) John A. and Margaret P. McNeill, Sr. Distinguished Professorship (UNC, 2013) Labs & Collaborations: Director of the Clinical Pharmacology & Analytical Chemistry Laboratory, pioneering mass spectrometry imaging and drug reservoir analysis. Future Work: Advancing ultra-long-acting HIV PrEP implants Exploring sex-specific pharmacology in transgender populations Global HIV prevention initiatives via data sharing (HIV Pharmacology Data Repository)
Professor Charlotte Stagg is based at the Nuffield Department of Clinical Neurosciences (NDCN) within the University of Oxford . She serves as Associate Director of the Oxford Centre for Integrative Neuroimaging and holds a Beale Fellow in Medicine position at St Hilda's College. Her research focuses on the physiological mechanisms of motor learning and stroke recovery, utilizing multimodal neuroimaging and brain stimulation techniques. Research Interests : GABA signaling, neuroplasticity, transcranial ultrasound, stroke neurorehabilitation Techniques : 7T MRI, MEG, non-invasive brain stimulation, neurochemistry Selected Scientific Awards : Wellcome Trust Senior Research Fellow Beale Fellow in Medicine, St Hilda's College Collaborations : Leads the Physiological Neuroimaging Group (PiNG), part of the Neuroplastics Collaborative Network with groups led by Heidi Johansen-Berg and Jacinta O'Shea. Current advisees include DPhil student Birtan Demirel and visiting researchers from HEC Montréal and The University of Manchester.
Mengsen Zhang is an Assistant Professor at Michigan State University (MSU) in the Department of Computational Mathematics, Science and Engineering and the Neuroscience Program. She bridges complex systems science, neuroscience, computational mathematics, and topological data analysis (TDA) to study brain dynamics and coordination mechanisms across scales. Education: B.S. in Psychology and Pharmaceutical Sciences (Peking University); M.S. in Criminology (University of Pennsylvania); Ph.D. in Complex Systems and Brain Sciences (Florida Atlantic University, with Drs. Emmanuelle Tognoli and J. A. Scott Kelso). Postdoctoral Training: Stanford University (with Dr. Manish Saggar) and University of North Carolina at Chapel Hill (with Dr. Flavio Frohlich). Her research focuses on the intersection of topological data analysis and dynamical systems, particularly in understanding brain oscillations, neural networks, and social coordination dynamics. She explores how third-party interventions can stabilize or disrupt coordination in biological and social systems, using both empirical and theoretical approaches. Her recent publications (2022–2025) highlight applications of transcranial alternating current stimulation (tACS) in psychiatric disorders, metastability in brain dynamics, and novel computational methods for analyzing neural and behavioral data. These works span neuroscience, psychiatry, and computational modeling. She teaches courses such as CMSE 381: Fundamentals of Data Science Methods (MSU) and STT 381: Fundamentals of Data Science Methods, integrating computational tools into academic training.
Maarten De Vos is a Professor at the Department of Electrical Engineering (ESAT) , KU Leuven , with dual appointments in the Faculty of Medicine and Faculty of Engineering Science . He leads interdisciplinary research at the intersection of artificial intelligence and biomedical signal processing.
Dr. Tim Oates is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County . His research spans machine learning, artificial intelligence, and brain-machine interfaces, with a focus on weakly supervised methods, human-in-the-loop reinforcement learning, and grounded policy development for robotics. Ph.D., Computer Science, University of Massachusetts, Amherst, 2000 M.S., Computer Science, University of Massachusetts, Amherst, 1997 B.S., Computer Science and Electrical Engineering, 1989 Current research threads include: Developing non-invasive brain injury severity assessment via medical time series Modeling human brain development through computational frameworks Designing algorithms for autonomous robotic learning Recent publications highlight AI security mechanisms (backdoor detection via tensor decomposition, matrix factorization) Medical applications (3D artery reconstruction, skin lesion diagnosis, EEG denoising) Neuro-symbolic integration (holographic representations, language-guided reinforcement learning) Mathematical reasoning (schema-based problem solving, subitizing algorithms) Contact: oates@cs.umbc.edu | Office: 336 Information Technology and Engineering (ITE) Building
