جستجوی استاد راهنمای دانشگاهی

Silvestro Miceraمشاهده پروفایل

استاد

• Neural Engineering
• Neuroprosthetics
• Robotics
• +۳ مورد دیگر

Silvestro Micera is a Full Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) and holds the Bertarelli Foundation Chair in Translational Neuroengineering. He directs the Translational Neural Engineering Laboratory and teaches courses including Neural signals and signal processing and Translational neuroengineering . His research bridges neural interfaces, robotics, and neuroprosthetics to restore motor functions in spinal cord injuries, stroke, and amputations. Micera's research integrates implantable neural interfaces, robotic rehabilitation, and hybrid neuro-prosthetic systems. Key focus areas include: Robotic neurorehabilitation for mobility restoration Neural control mechanisms in movement CNS/PNS neural interface development Bioelectronic modulation for sensory feedback His recent publications emphasize machine learning-driven motor recovery prediction, closed-loop sensory feedback systems, and minimally invasive neuroprosthetics. Trends include AI-optimized stimulation protocols, multimodal data fusion for rehabilitation, and clinical translation of neural bypass technologies. Awards: IEEE EMBS Early Career Achievement Award (2009) IEEE EMBS Technical Achievement Award (2021) Micera leads EU-funded projects such as TIME, CLONS, and NeuWalk, focusing on neural prostheses. He advises 8 current and 18 former PhD students in neuroengineering. His lab collaborates with MIT, Harvard, and industry partners (e.g., Plexon) to advance translational neurotechnologies.

• Neural Interfaces
• Micro/Nano Electro Mechanical Systems (MEMS)
• Biosystems & Computational Biology
• +۳ مورد دیگر

Michel M. Maharbiz is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley. He leads research on miniaturized bioelectronic interfaces, including neural dust implants and cyborg insects. He holds affiliations with the Berkeley Sensor & Actuator Center (BSAC), Center for Neural Engineering & Prostheses (CNEP), and SWARM Lab. His education includes a Ph.D. in EECS from UC Berkeley (2003) and a B.S. in EE from Cornell University (1997). Maharbiz's research integrates MEMS, ultrasonic systems, and synthetic biology to develop wireless neural interfaces, implantable sensors, and biohybrid devices. Key focus areas are neural dust technology for peripheral nerve recording, magnetoelastic strain sensors for medical applications, and electrochemical biosensing using bacterial flagellar motors. His publications emphasize neural interfaces, ultrasonic implants, and biomedical monitoring. Recent articles explore ultrasonic power delivery (2025), radiation detectors for oncology (2025), and fracture-healing smart plates (2019). Trends include miniaturization of wireless implants, closed-loop therapeutic systems, and novel biomaterials. Scientific Awards: McKnight Technological Innovations in Neuroscience Award (2017) Chan-Zuckerberg Biohub Investigator (2017) NSF CAREER Award (2009) MIT TR10 Top Emerging Technology (2009) Bakar Fellows Spark Award (2012) He directs the Maharbiz Lab, advancing neural dust and bioelectronic interfaces. Projects include impedance-based fracture monitoring, carbon fiber neural arrays, and hernia repair sensors. Funding includes NSF and industry partnerships for implantable device development.

Hai-Quan Maoمشاهده پروفایل

استاد

• Biomaterials
• Regenerative Engineering
• Therapeutic Delivery
• +۳ مورد دیگر

Hai-Quan Mao is a Professor of Materials Science and Engineering at Johns Hopkins University, with a joint appointment in the Biomedical Engineering Department (School of Medicine). He directs the Institute for NanoBioTechnology (INBT) and leads the Translational Tissue Engineering Center. His research focuses on biomaterials, regenerative engineering, and immunoengineering, particularly developing nanomaterials for therapeutic delivery and tissue regeneration. Mao holds 35 U.S. patents, co-founded two biotech companies, and received prestigious awards including National Academy of Inventors Fellow and NSF CAREER Award. Education: BS in Chemistry (1988) and PhD in Polymer Chemistry (1993) from Wuhan University. Postdoctoral training at Johns Hopkins (1995–1998), followed by roles at Johns Hopkins Singapore (1999–2003) before joining the Whiting School faculty. Research emphasizes nanofiber scaffolds for liver/nerve regeneration, DNA/lipid nanoparticle engineering for gene therapy, and artificial lymph node matrices for immunotherapy. His lab translates biomaterials innovations into clinical applications, with NIH-funded projects addressing cancer, malaria, and tissue damage. Awards include over 60 provisional patents, multiple Johns Hopkins translational awards, and Thalheimer Awards for research. He serves as associate editor of Biomaterials and editorial board member of major journals. Lab activities include scalable nanoparticle manufacturing, machine learning for material design, and collaborations with industry/clinical partners. Recent work includes lipid nanoparticle optimization for mRNA vaccines and exosome-based therapies for Crohn’s disease.

• Bioengineering
• Materials Science
• Biomedical Engineering
• +۸ مورد دیگر

John A. Rogers is the Louis Simpson and Kimberly Querrey Professor at Northwestern University, holding joint appointments in Materials Science and Engineering, Biomedical Engineering, Mechanical Engineering, Chemistry, and Neurological Surgery. He directs the Querrey-Simpson Institute for Bioelectronics. His work bridges soft materials science, bio-integrated electronics, and nanotechnology, with a focus on wearable medical devices, bioresorbable systems, and neural interfaces. Educations: B.A. & B.S. from University of Texas Austin (1989), S.M. from MIT (1992), Ph.D. in Physical Chemistry from MIT (1995). Prior roles include Director of Bell Labs' Condensed Matter Physics Department and faculty positions at University of Illinois at Urbana-Champaign. Research emphasizes soft materials for bio-inspired electronics, including flexible sensors, microfluidic platforms, and bioresorbable implants. His lab has pioneered epidermal electronics, injectable optoelectronics, and neural interfacing systems. Over 1000 peer-reviewed publications and 100+ patents highlight his contributions to nanotechnology and biomedical engineering. Awards include the Benjamin Franklin Medal (2019), MRS Medal (2018), and MacArthur Fellowship (2009). He is a member of the National Academies of Sciences, Engineering, and Medicine. Current projects span bioelectronic medicines, wearable health monitors, and advanced medical imaging tools.

Hayriye Cagnanمشاهده پروفایل

مدرس ارشد

• Neuroscience
• Neuromodulation
• Brain Stimulation
• +۴ مورد دیگر

Dr. Hayriye Cagnan is a Senior Lecturer (equivalent to Associate Professor) at Imperial College London and Associate Unit Member at the MRC Brain Network Dynamics Unit. She holds a PhD in Neuroscience from the University of Amsterdam and Philips Research Laboratories (2010), an MSc in Engineering and Physical Science in Medicine from Imperial College London, and a BS in Electrical and Electronics Engineering from Cornell University as a Fulbright Scholar. Her research develops theory-driven strategies for selective modulation of brain rhythms using: Theoretical disease models and stimulation paradigms Dynamic neuromodulation approaches Wearable devices for remote therapy optimization Advanced signal processing techniques Her recent publications (2015-2025) demonstrate consistent focus on tremor pathophysiology, neural oscillations in Parkinson's disease, and advanced brain stimulation technologies. Research employs computational modeling, EEG, magnetoencephalography, and both invasive/non-invasive stimulation techniques. Awards & Fellowships: Fulbright Scholarship (2000-2004) British Chevening Scholarship (2004) MRC Skills Development Fellowship (2015) MRC Career Development Award (2018) Dr. Cagnan leads an independent research group originally established at the MRC Brain Network Dynamics Unit in 2018, maintaining close collaborations with clinical neuroscientists and engineers to translate basic research into therapeutic applications.

• Biomaterials
• Peripheral Nerve Injury
• Neuromuscular Modeling and Repair
• +۲ مورد دیگر

Suradip Das is a Research Assistant Professor in the Department of Neurosurgery at the Perelman School of Medicine, University of Pennsylvania, where he serves as a Senior Research Investigator. His work bridges neural engineering and regenerative medicine to address critical challenges in nerve and muscle repair. His academic training includes: B.Tech in Biotechnology from Heritage Institute of Technology (2010) PhD in Biosciences and Bioengineering from Indian Institute of Technology Guwahati (2016) Dr. Das specializes in biomaterials development , peripheral nerve injury models , neuromuscular interface engineering , and stem cell-based regeneration . His research pioneers innervated tissue-engineered muscle constructs, demonstrating how motor neurons and endothelial cells synergistically enhance skeletal myocyte maturation. He innovates custom mechanobioreactors that apply tensile forces to guide nanofiber alignment for optimal myofiber formation, significantly advancing volumetric muscle loss treatments. Analysis of his 15 most recent publications reveals a dominant focus on neuromuscular regeneration (75% of articles), with emerging exploration of psychedelic compounds in neural repair. His work consistently integrates human iPSC-derived models , multi-cellular co-cultures , and large-animal validation to address translational gaps. Key trends include optogenetic control of motor units (2023), porcine nerve injury models (2020), and the critical role of pre-innervation in creating pro-regenerative microenvironments (2020-2022). As a core member of the Cullen Lab, Dr. Das collaborates on developing biofabricated neural microtissues for delayed nerve fusion and rapid functional recovery. His research directly informs clinical strategies for peripheral nerve repair and muscle regeneration through rigorous mechanistic studies and innovative engineering solutions.

• Neuroelectronics
• Biomedical Engineering
• Microfabrication
• +۵ مورد دیگر

Lukas Hiendlmeier is a Researcher at the Technical University of Munich, affiliated with the Munich Institute of Biomedical Engineering (MIBE) and the Associate Professorship of Neuroelectronics led by Prof. Bernhard Wolfrum. He holds a Master of Science in Mechanical Engineering from TUM. His research focuses on advanced fabrication technologies such as 3D printing, laser micromachining, and polymer material science, with applications in neuroelectronics and biomedical devices. Hiendlmeier’s work emphasizes developing self-folding bioelectronic interfaces, flexible electrodes, and implantable neural devices for peripheral nerve interfacing. His contributions include innovations in 4D printing techniques, thermoformed materials, and origami-inspired electrode designs. He collaborates on projects involving cell manipulation, microfluidic lab-on-a-chip systems, and closed-loop neural stimulation systems. Publications span topics like self-folding bioelectronics, flexible sensor arrays, and nanorobotics, showcasing expertise in materials science and biomedical engineering. His research bridges fundamental science and translational applications, addressing challenges in neural prosthetics, wearable diagnostics, and tissue engineering. Hiendlmeier is actively involved in the neuroTUM initiative and contributes to interdisciplinary teams at TUM, focusing on advancing neurotechnology through innovative fabrication methods and biomaterials.

Xilin Liuمشاهده پروفایل

استادیار

• Integrated Circuits
• Biomedical Engineering
• Brain-Machine Interfaces
• +۵ مورد دیگر

Xilin Liu is an Assistant Professor at the Edward S. Rogers Sr. Department of Electrical & Computer Engineering (University of Toronto) and the Center for Advancing Neurotechnological Innovation to Application (CRANIA) . He obtained his PhD from the University of Pennsylvania and previously worked at Qualcomm Inc. in California. Expertise in integrated circuits and systems for brain-machine interfaces , neuromodulation , and edge AI Published in top venues including Nature Electronics , IEEE JSSC , and ISSCC Recipient of multiple best paper awards and IEEE Senior Member His research spans three main themes: High-speed data converters for wireless/wireline communication IC design for neural interfacing Accelerating machine learning via hardware Recent publications focus on closed-loop neuromodulation , ultra-wideband transceivers , and flexible biomedical sensors . These works integrate analog IC design , edge AI , and real-time neural interfacing across medical rehabilitation , parkinson's monitoring , and memory research . Awards include: IEEE Solid-State Circuits Society Predoctoral Achievement Award (2016) Best Paper Award at BioCAS (2015) ECE Department Teaching Award (2022) Multiple conference best paper finalists His lab collaborates with UHN , EMBS , and global institutions while maintaining strong commitments to equity, diversity, and inclusion (EDI) in research practices.

Timothy H. Murphyمشاهده پروفایل

استاد

• Neuroscience
• Stroke Recovery
• Brain Circuit Mapping
• +۵ مورد دیگر

Dr. Timothy H. Murphy is a Professor in the Department of Psychiatry at the University of British Columbia's Faculty of Medicine. He is also an Associate Member of the School for Biomedical Engineering and a Member of the Djavad Mowafaghian Centre for Brain Health. Dr. Murphy leads the Dynamic Brain Circuits in Health and Disease initiative and the Division of Neuroscience and Translational Psychiatry at UBC. Dr. Murphy received his Ph.D. from Johns Hopkins University in 1989 and his B.Sc. from Saint Mary's College Maryland in 1984. His research focuses on understanding brain circuit structure-function relationships in relation to stroke recovery, psychiatric disorders, and neurological diseases. He specializes in mesoscale imaging techniques to study cortical activity patterns and develop automated approaches for brain imaging and stimulation. His laboratory develops innovative tools including open-source hardware for automated mouse brain imaging, synthetic data generation for behavioral analysis, and chronic recording systems that enable simultaneous mesoscale cortical imaging with subcortical or peripheral nerve activity monitoring. Research from the Murphy Lab has significantly advanced our understanding of how brain circuits reorganize after stroke and in models of psychiatric disorders. Dr. Murphy's recent publications reveal trends in mesoscale cortical imaging, development of synthetic data for behavioral analysis, and exploration of circuit-level changes in neurological and psychiatric disease models. His work bridges basic neuroscience with potential clinical applications for stroke recovery and mental health treatments. Dr. Murphy has mentored numerous students and postdoctoral fellows who have gone on to successful careers in neuroscience and related fields. His laboratory has received funding to support innovative approaches to understanding brain circuit function and recovery mechanisms. The Murphy Lab maintains strong collaborative ties across UBC and develops open-source tools that are widely adopted by the neuroscience community. Their work on automated home-cage imaging systems, synthetic behavioral data generation, and chronic recording technologies represents significant methodological advances in the field.

Sonia Mayoralمشاهده پروفایل

استادیار

• Glial Cell Biology
• Myelin
• Neuron-Glia Interactions
• +۳ مورد دیگر

Sonia Mayoral is the Robert J. and Nancy D. Carney Assistant Professor of Neuroscience at Brown University. Her research focuses on studying cell-cell interactions in the brain, particularly the development and function of oligodendrocytes – glial cells critical for myelin formation. She explores how these cells contribute to myelination, remyelination processes, and their roles in neurological disorders like multiple sclerosis. Her work integrates cellular neuroscience, immunology, and drug screening methodologies. Research interests include glial cell biology, neuron-glial interactions, and the molecular mechanisms governing myelin repair. She investigates how environmental cues and signaling pathways regulate oligodendrocyte differentiation and function. Notable projects involve developing high-throughput screening platforms for MS therapeutics and studying sex-specific responses to neurodegenerative challenges. Her lab’s recent work includes clinical trials (Re-WRAP) evaluating Bazedoxifene for remyelination in women, and fundamental studies on regulatory T cell roles in myelin regeneration. She also examines how mechanical stimulation and epigenetic changes influence oligodendrocyte behavior. Her research bridges basic science and translational efforts, aiming to advance treatments for myelin-related disorders. Dr. Mayoral’s lab is active at Brown University, with a dedicated website detailing ongoing projects and collaborations. While no specific grants or students are listed here, her work reflects a strong focus on interdisciplinary approaches to neurodegenerative disease mechanisms.

• Biomedical Engineering
• Neurorehabilitation Technology
• Biomedical Signal Processing
• +۱۲ مورد دیگر

Professor Dario Farina is Chair in Neurorehabilitation Engineering at the Department of Bioengineering, Faculty of Engineering, Imperial College London. He has previously served as Full Professor at Aalborg University, Denmark, and at the University Medical Center Göttingen, Germany, where he founded and directed the Institute of Neurorehabilitation Systems. His research spans biomedical signal processing, neural control of movement, and neurorehabilitation technology, with extensive contributions to electromyography, motor unit analysis, and neural interfaces. Chair in Neurorehabilitation Engineering, Imperial College London Former Full Professor, Aalborg University and University Medical Center Göttingen Founder and Director, Institute of Neurorehabilitation Systems Key Affiliations: Centre for Neurotechnology, Artificial Intelligence Network, Robotics Forum, Neuromechanics and Rehabilitation Technology His research focuses on biomedical signal processing , neural control of movement , and neurorehabilitation technology . He investigates how neural signals control muscles, develops methods to decode motor unit activity from EMG, and designs neural interfaces for prosthetics and rehabilitation. His work integrates computational modeling, signal processing, and clinical applications to improve bionic systems and neurorehabilitation outcomes. The recent publications (2024–2025) show a strong emphasis on high-density EMG , real-time motor unit decomposition , peripheral and cortical neural interfacing , closed-loop control systems , and AI-driven biosignal analysis . Key themes include decoding spinal and cortical signals, improving prosthetic control, understanding tremor mechanisms, and developing open-source tools for motor unit analysis. The work bridges neuroscience, engineering, and clinical practice. Scientific awards and honors include: Royal Society Wolfson Research Merit Award (2016) IEEE EMBS Early Career Achievement Award (2010) Nightingale Prize for best paper in MBEC (2007) Elected Fellow of EAMBES (2016) Elected Fellow of AIMBE (2012) Professor Farina has advised numerous researchers and students in neuroengineering and rehabilitation technology. He has led major research grants in neural interfaces and neurorehabilitation. He is Editor-in-Chief of the Journal of Electromyography and Kinesiology , an editor for IEEE Transactions on Biomedical Engineering and The Journal of Physiology , and has held editorial roles in multiple journals. He was President of ISEK (2012–2014) and is a Senior Member of IEEE. He leads a research group focused on neuromechanics, neural decoding, and bionic systems. The team develops tools like I-Spin live and MUedit for real-time motor unit identification and contributes to open-source platforms such as NeuroMotion . The lab collaborates internationally on projects involving spinal cord stimulation, prosthetic control, and wearable robotics, aiming to translate neural engineering advances into clinical rehabilitation.

Elliot L. Dimbergمشاهده پروفایل

استاد بالینی

• Neuromuscular Disorders
• Clinical Neurophysiology
• Peripheral Nerve Disorders
• +۴ مورد دیگر

Dr. Elliot L. Dimberg is a neurologist specializing in neuromuscular disorders at Mayo Clinic Hospital in Jacksonville, Florida. He serves as faculty at Mayo Clinic Alix School of Medicine within the Department of Neurology, holding leadership roles including Vice Chair of the Curriculum Committee and Clerkship Sub Committee. Dr. Dimberg actively contributes to medical education through multiple committees related to student promotions, academic affairs, and residency program evaluation, while maintaining a clinical practice focused on complex neuromuscular conditions. Dr. Dimberg earned his MD from Tulane University in 2001. He completed his Neurology residency and served as Chief Resident at the University of Virginia, followed by fellowships in Clinical Neurophysiology at the University of Virginia (2006) and Neuromuscular Disease at Mayo Clinic Rochester (2008). He maintains board certification in Neurology, Clinical Neurophysiology, and Neuromuscular Medicine through the American Board of Psychiatry and Neurology. His clinical expertise spans neuromuscular junction disorders including myasthenia gravis and Lambert-Eaton Myasthenic Syndrome, peripheral neuropathies, brachial and lumbosacral plexus disorders, polyradiculopathies, motor neuron diseases, and myopathies. Dr. Dimberg integrates clinical evaluation with electrodiagnostic medicine to diagnose and manage these complex conditions. His research focuses on advancing diagnostic methodologies through electromyography techniques, genetic testing, and clinical trial participation for rare neuromuscular disorders. Dr. Dimberg's publication record demonstrates consistent contributions to neuromuscular medicine, with emphasis on diagnostic precision, genetic underpinnings of muscle disorders, and therapeutic innovations. His recent work includes clinical trials for hereditary transthyretin amyloidosis, studies on spinal muscular atrophy treatments, and investigations into immune-mediated necrotizing myopathy, reflecting his commitment to advancing both clinical practice and scientific understanding in his field. Multiple Above and Beyond Awards from Mayo Clinic in Florida (2008-2024) A.B. Baker Teacher Recognition Award from American Academy of Neurology (2013, 2021) Commitment to Education Award from Mayo Clinic Alix School of Medicine (2019) Alpha Omega Alpha Honor Society membership (2000) As an educator, Dr. Dimberg has coordinated the Residency Neuroanatomy Course and Clinical Pathological Correlation Conference for over a decade. He previously chaired the Curriculum Committee for the Adult Neurology Residency Program and currently serves in leadership roles for Mayo Clinic Alix School of Medicine's educational committees. His dedication to teaching has been recognized through numerous awards including the prestigious A.B. Baker Teacher Recognition Award. Professionally, Dr. Dimberg serves as Co-Chair of the American Association of Neuromuscular and Electrodiagnostic Medicine's EDX Lab Accreditation Committee and holds leadership positions in the American Clinical Neurophysiology Society. He contributes to developing certification exams, educational programming, and clinical guidelines for these organizations, maintaining active engagement with the broader neuromuscular medicine community.

Klas Tybrandtمشاهده پروفایل

استاد

• Soft Electronics
• Bioelectronics
• Organic Electronics
• +۳ مورد دیگر

Professor Klas Tybrandt leads the Soft Electronics group at Linköping University's Laboratory of Organic Electronics (LOE), focusing on stretchable materials and bioelectronics integration with the human body. He holds a Master's (2007) and PhD (2012) from LiU, followed by postdoctoral research at ETH Zurich (2013-2014). Promoted to Professor in 2024, he oversees the Wallenberg Wood Science Center (WWSC), WISE, and AFM initiatives. His work spans Stretchable batteries Neural interfaces Organic thermoelectrics and has earned awards like the ERC Consolidator Grant (2023) and Wallenberg Academy Fellow (2022). His research emphasizes sustainable materials and energy harvesting. Education: PhD in Organic Bioelectronics (LiU, 2012) ETH Zurich Postdoc (2013-2014) Research interests include soft electronics and biohybrid systems , with breakthroughs in gold nanowire electrodes and stretchable electrofluid batteries . Over 70 peer-reviewed articles and 7 patents underscore his contributions to organic electronics. Grants & Funding: ERC Consolidator Grant (€2M) Wallenberg Academy Fellowship (SEK 36M) Labs/Teams: Head of Soft Electronics group (LOE), active in WWSC and WISE consortia.

Shang Songمشاهده پروفایل

استادیار

• Biomaterials
• Stem Cell Therapy
• Regenerative Medicine
• +۴ مورد دیگر

Shang Song is an Assistant Professor of Biomedical Engineering and Materials Science and Engineering at the University of Arizona , where she leads the Integrated BioDesign Lab. Her work bridges advanced engineering methods with cell therapies to develop microphysiological platforms and regenerative treatments. Education: PhD in Bioengineering from University of California Berkeley and University of California San Francisco BS in Biomedical Engineering (Honors) from Brown University Dr. Song's research focuses on manipulating cellular microenvironments to create novel therapeutics. Key areas include conductive biomaterials for stem cell therapy, organ-on-chip systems , and neural repair through electrical stimulation. Her work spans molecular, cellular, and organ-level biological scales to address translational challenges in human health. Recent publications highlight trends in conductive hydrogels , electrical modulation of stem cells , and microfluidic blood-brain barrier modeling . These align with her lab's emphasis on multi-scale engineering solutions for regenerative medicine. Scientific Awards: George H. Davis Fellowship (2025) ORAU Ralph E. Powe Junior Faculty Enhancement Award (2024) American Heart Association Career Development Award (2024) Arizona Biomedical Research Centre New Investigator Award (2024) NIH F32 Fellowship (2019) Forbes 30 Under 30 (2016) NSF Graduate Research Fellowship (2010) Gates Millennium Scholar (2006) Her lab integrates advanced engineering design with disease-mimicking models to create organs-on-chips platforms and regenerative strategies that address clinical needs through cross-disciplinary innovation.

Amir Shmuelمشاهده پروفایل

استاد

• Neuroimaging
• fMRI
• Visual Perception
• +۵ مورد دیگر

Amir Shmuel is a Professor at McGill University's Faculty of Medicine, holding appointments in the Department of Neurology and Neurosurgery, Department of Biomedical Engineering, and Department of Physiology. He serves as Director of the Brain Imaging Signals Lab and Core Faculty at the McConnell Brain Imaging Centre of the Montreal Neurological Institute. His leadership includes chairing the 2018 International Society for Brain Connectivity conference and securing an $18.7M Canada Foundation for Innovation grant for Quebec's first large-bore 7 Tesla MRI scanner. Dr. Shmuel's research focuses on understanding neuronal mechanisms underlying functional brain imaging signals and visual information processing. His integrative approach combines fMRI, optical imaging, multi-channel neurophysiological recordings, and optogenetics across multiple spatial and temporal scales. Current research priorities include resting-state functional connectivity mechanisms, cortical lamina-resolved neurophysiology, and computational modeling of brain signals. His lab emphasizes parallel model development with experimental data acquisition. Recent publications demonstrate strong trends in multimodal neuroimaging integration, with emphasis on high-resolution fMRI techniques (especially 7T applications), resting-state connectivity analysis across species, and computational modeling of neurovascular coupling. Key subfields include laminar-specific activity mapping, artifact detection in medical imaging using deep learning, and cross-species functional connectivity frameworks. Dr. Shmuel's research is currently funded by the Canadian Institutes of Health Research (CIHR), Natural Sciences and Engineering Research Council of Canada (NSERC), and the US Department of Defense. His lab maintains active collaborations through initiatives like the International Society for Brain Connectivity and the PRIME-DE database consortium. Operating within the Brain Imaging Signals Lab at the Montreal Neurological Institute, Shmuel's team develops and applies advanced multimodal techniques including simultaneous fMRI-electrophysiology, voltage-sensitive dye imaging, and computational modeling frameworks. The lab maintains strong ties with the McConnell Brain Imaging Centre and participates in major open-science initiatives including the Tanenbaum Open Science Institute.