جست‌وجوی استاد و پژوهشگر

• 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.

Elisa Donatiمشاهده پروفایل

پژوهشگر

• Neuromorphic Engineering
• Biomedical Signal Processing
• Wearable Healthcare Technologies
• +۵ مورد دیگر

Dr. Elisa Donati is a researcher and independent group leader at the Institute of Neuroinformatics , affiliated with both the University of Zurich and the Swiss Federal Institute of Technology Zurich . Her work bridges neuromorphic engineering, biomedical signal processing, and wearable healthcare technologies, with a focus on creating brain-inspired systems for neuroprosthetics and rehabilitation. Affiliation: Institute of Neuroinformatics, University of Zurich & ETH Zurich Email: elisa@ini.uzh.ch Elisa’s research emphasizes developing neuromorphic signal processing strategies for wearable and embedded systems, enabling real-time closed-loop interactions with the nervous system. She specializes in translating neuroscience insights into energy-efficient technologies for digital health applications, including neuroprosthetics and personalized biomedical devices using neuromorphic hardware. Her recent publications (2024–2025) highlight advancements in gesture recognition via EMG and event-based systems, neuromorphic heart rate monitoring , and spiking neural network architectures . These works span biomedical signal processing, low-power computing, and adaptive algorithms, reflecting her commitment to robust, real-time, and brain-inspired solutions for healthcare. Elisa’s contributions to neuromorphic computing are evident in her exploration of heterogeneous population encoding , event-driven processing , and ultra-low-power microcontrollers . Her projects often integrate wearable systems with neuroscience, aiming to improve prosthetic control and rehabilitation technologies .

• 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.

Jose M. Carmenaمشاهده پروفایل

استاد

• Neuroscience
• Neuroprosthetics
• Sensorimotor Learning
• +۵ مورد دیگر

Jose M. Carmena is the Chancellor's Professor of Electrical Engineering and Neuroscience at the University of California-Berkeley and Co-Director of the Center for Neural Engineering and Prostheses (CNEP). His research focuses on brain-machine interfaces (BMIs), neuroprosthetics, and sensorimotor learning mechanisms. Ph.D., Robotics, University of Edinburgh (2002) M.S., Artificial Intelligence, University of Edinburgh (1998) M.S., Electrical Engineering, University of Valencia (1997) B.S., Electrical Engineering, Polytechnic University of Valencia (1995) Dr. Carmena's work bridges neural engineering and systems neuroscience, investigating corticostriatal plasticity, wireless neural recording systems (e.g., neural dust), and closed-loop BMI adaptation. His publications reveal expertise in Neuroprosthetic Algorithms , Wireless Neural Interfaces , and Sensorimotor Learning with applications in chronic neuroprosthetic systems. McKnight Technological Innovations in Neuroscience Award (2017) IEEE Fellow (2017) NSF CAREER Award (2010) Sloan Research Fellow (2009) Hellman Fellow (2007) His advisees include Paul Botros, Archit Gupta, and Vivek Athalye. Dr. Carmena has published extensively in journals like Nature , Neuron , and Nature Neuroscience , developing technologies such as ultrasonic neural dust for cortical recording and adaptive control algorithms for prosthetics.

• Closed-loop neurotechnology
• Neuromodulation
• Machine learning
• +۴ مورد دیگر

Dr. Eric Meyers is an Assistant Professor in the Department of Bioengineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He holds a Ph.D. in Biomedical Engineering and dual Bachelor's/Master's degrees in Electrical Engineering from the same institution. His research focuses on closed-loop neurotechnology, neuromodulation, and bioelectronic medicine to enhance recovery from nervous system injuries. Key projects include developing wearable EMG sleeves for stroke rehabilitation and closed-loop neuromodulation systems to restore motor function. Education: B.S. (2012), M.S. (2018), Electrical Engineering; Ph.D. (2017), Biomedical Engineering – all from UTD His research interests span machine learning applications in neurorehabilitation, biomarker discovery for neurological conditions, and clinical translation of bioelectronic therapies. Recent work emphasizes wearable devices for real-time motor function assessment and neuromodulation-driven recovery strategies. Publications highlight advancements in EMG-based neural interfaces, closed-loop algorithms for stroke therapy, and innovative FES systems. His lab actively collaborates on projects funded by NIH and industry partnerships, with a focus on translating technologies to clinical settings.

Claudia Ceaمشاهده پروفایل

استادیار

• Bioelectronics
• Neural Interfaces
• Soft Electronics
• +۷ مورد دیگر

Claudia Cea is an Assistant Professor in the Department of Electrical & Computer Engineering at Yale University's School of Engineering and Applied Science. Her research focuses on developing soft, multifunctional bioelectronic devices designed to interface with the nervous system for long-term neural interrogation and modulation. She leads The Cea Group, which integrates principles from bioelectronics, materials science, and neuroscience to engineer conformable, high-resolution neural interfaces. Ph.D., Columbia University M.Sc., San Diego State University B.Sc., University of Pisa Her research interests lie at the intersection of bioelectronics , neural engineering , and soft materials design , with a focus on creating minimally invasive tools for understanding brain–body communication. By combining electrical, optical, and chemical modalities, her lab develops technologies capable of both recording and modulating neural activity in central and peripheral circuits. These innovations aim to uncover fundamental neural mechanisms and translate them into therapies for neurological, psychiatric, and systemic disorders. The recent publications demonstrate a strong trajectory in implantable bioelectronics , particularly in organic electrochemical transistors , ionic communication systems , and multimodal neural interfaces . Her work consistently appears in top-tier journals such as Nature Materials , Science Advances , and PNAS , reflecting significant impact in neuroengineering and bioelectronic medicine. The research emphasizes device autonomy, biocompatibility, and real-time neural signal processing. Her scientific achievements have been recognized with prestigious honors: MIT Technology Review 35 Innovators under 35 SEAS Ph.D. Research Symposium Winner, Columbia University CSNE Hackathon Winner, University of Washington Shiley Scholarship in Bioengineering Claudia Cea has secured competitive funding and recognition that support her lab’s innovative work. While specific grant details are not listed, awards such as the Shiley Scholarship and hackathon wins indicate strong support from institutions like the Center for Sensorimotor Neural Engineering (CSNE). Her role as principal investigator of The Cea Group suggests active mentorship of graduate students and postdoctoral researchers in interdisciplinary research. The lab fosters collaboration across engineering, neuroscience, and clinical domains to accelerate translation. The Cea Group is dedicated to advancing soft, multifunctional electronics for biomedical applications. The team focuses on designing conformable, implantable devices that seamlessly integrate with biological tissues. Their work spans materials synthesis, device fabrication, in vivo testing, and clinical translation, aiming to bridge gaps between engineering innovation and medical need. The lab environment promotes creativity, rigor, and translational thinking in next-generation neural technologies.

Dominique Durandمشاهده پروفایل

استاد

• Neural engineering
• Computational neuroscience
• Neural interfacing
• +۹ مورد دیگر

Dominique Durand is a Professor of Biomedical Engineering at Case Western Reserve University and Director of the Neural Engineering Center. His research focuses on neural engineering, computational neuroscience, and neuromodulation, particularly for epilepsy treatment and neural interface development. Professor, Biomedical Engineering Director, Neural Engineering Center Research interests include: Neural interfacing and prostheses Non-linear dynamics of neural systems Control of epilepsy via electrical stimulation Carbon nanotube (CNT) yarn electrodes for chronic neural recording Computational modeling of neural activity Ephaptic coupling mechanisms in seizure propagation Recent work examines: Transcranial direct current stimulation (tDCS) effects on seizures Low-frequency stimulation for seizure suppression Neural activity in tumors for cancer-state determination Advanced electrode designs for peripheral nerve interfaces Autonomic nervous system modulation in disease Laboratory affiliations include the Neural Engineering Center, which develops technologies for neural system analysis and therapeutic interventions.

Diego V. Bohorquezمشاهده پروفایل

دانشیار

• Gut-Brain Axis
• Neurogastroenterology
• Sensory Neuroscience
• +۳ مورد دیگر

Diego V. Bohorquez is an Associate Professor at Duke University School of Medicine with cross-appointments in Medicine, Molecular Genetics and Microbiology, Cell Biology, Pathology, and Neurobiology. He is a Faculty Network Member of the Duke Institute for Brain Sciences, focusing on gut-brain neural communication mechanisms. His educational background includes a Ph.D. from North Carolina State University (2010), a Postdoctoral Fellowship in Neurogastroenterology at Duke University (2010-2014), and a Grass Fellowship in Neurosciences at the Marine Biological Laboratory (2014). Dr. Bohorquez pioneered the discovery of neuropod cells – specialized enteroendocrine cells that convert gut nutrient signals into neural activity via glutamatergic synapses, forming a direct gut-brain circuit. His research reveals how this pathway discriminates real sugar from artificial sweeteners, regulates feeding behavior, and transmits microbial signals. This work fundamentally challenges the hormone-mediated model of gut-brain communication, establishing a hardwired neural mechanism for visceral sensation. His 15 most recent publications (2018-2025) consistently advance gut-brain axis understanding, with landmark studies in Nature , Cell , and Science demonstrating neuropod cell function, sugar preference mechanisms, and microbial pattern recognition. The research spans neuroscience, gastroenterology, and microbiology, increasingly incorporating bioengineering approaches for neural circuit modulation. His scientific recognition includes the 2024 Presidential Early Career Award for Scientists and Engineers (PECASE) from the National Science Foundation, honoring exceptional promise in research and education. Dr. Bohorquez mentors students through NEUROSCI independent study courses (493-495) and leads 15+ active grants including "Gut epithelial control of nutrient reward" (2024-2028), "Bacteria sensory transduction from gut to brain" (2023-2028), and "Harnessing the gut-brain circuit in binge eating disorder" (2024-2026), totaling over $10M in funding. He directs a multidisciplinary lab within the Duke Institute for Brain Sciences, collaborating with neuroscientists, gastroenterologists, and bioengineers to develop neuromodulation therapies for obesity, diabetes, and eating disorders through gut-brain circuit manipulation.

James Morizioمشاهده پروفایل

استاد مدعو

• Analog CMOS Microelectronics
• Neural Interfaces
• Acoustofluidics
• +۴ مورد دیگر

James Morizio serves as an Adjunct Professor in the Department of Electrical and Computer Engineering at Duke University, leveraging 35+ years of expertise in analog CMOS microelectronics for biomedical applications. His research bridges electrical engineering with neuroscience through disruptive sensor interface technologies for neural recording/stimulation and ultrasonic microfluidics. His educational background includes a Ph.D. in Electrical Engineering from Duke University (1995) M.S. in Electrical Engineering from University of Colorado, Boulder (1984) B.S. in Electrical Engineering from Virginia Polytechnic Institute and State University (1982) Morizio's research focuses on developing high-performance neural interfaces and acoustofluidic systems. Key areas include wireless neural instrumentation for closed-loop electrophysiology, CMOS-based ultrasonic transducers for microfluidic manipulation, and low-power VLSI design for implantable devices. His work emphasizes translating microelectronics innovations into biomedical solutions for neuroscience and diagnostics. His publication portfolio demonstrates consistent contributions to neural engineering and microfluidics, with recent trends showing increased focus on acoustofluidic diagnostics (e.g., AIMDx chip) and osseointegrated neural interfaces for prosthetic control. The research spans fundamental circuit design to translational applications in cancer metabolism and neuroprosthetics. Scientific recognition includes 15-year service award from Triangle BioSystems International/Harvard Bioscience Inc. (2016) Current research is supported by major grants including Neuro-CROWN (ultra-flexible electrode arrays), digital acoustofluidic systems for biomedical automation, and osseointegrated neural interfaces for prosthetic control. His teaching portfolio spans advanced VLSI design and special topics courses, though specific advising roles are not documented. Collaborative work involves interdisciplinary teams in neuroscience and biomedical engineering, particularly through partnerships with Triangle BioSystems International and translational projects using ovine models for neural interface validation.

• Neural Engineering
• Neuromuscular Systems
• Electromyography
• +۴ مورد دیگر

Madeleine Lowery is a Professor in the School of Electrical and Electronic Engineering at University College Dublin. She leads the Personal Sensing research group, focusing on engineering approaches to study the human nervous system in health and disease, with applications in therapies for impaired motor function. Her interdisciplinary research integrates neural engineering, electromyography, and biomedical signal processing. Specializes in neuromuscular systems and neural control of movement Develops myoelectric control systems for artificial limbs Designs high-density electrode systems for neural activity recording Investigates deep brain stimulation mechanisms in Parkinson’s disease models Her research spans neurodegenerative disorders (ALS, Huntington’s disease) and rehabilitation technologies , including wearable sensors for gait and sleep analysis. Key methodologies involve computational modeling , adaptive control systems , and biomedical signal analysis .

• Bioelectronics
• Optoelectronic Cell Control
• Nanostructured Materials
• +۵ مورد دیگر

Vedran Đerek serves as an Associate Professor in the Department of Experimental Physics at the Faculty of Science, University of Zagreb. His research spans bioelectronics, optoelectronic cell control, and nanostructured materials development. His laboratory ( dereklab.phy.hr ) focuses on creating advanced interfaces between biological systems and electronic devices. Dr. Đerek's research interests center on developing bioelectronic interfaces that enable precise communication with biological systems. His work in optoelectronic cell control utilizes light to modulate electrophysiological properties of cells with millisecond precision, enabling new approaches in biomedical research. His expertise in nanostructured and hybrid materials drives innovation in photodetectors and optoelectronic devices, while his spectroscopy work applies high-resolution optical techniques to study material properties and interactions. Numerical modeling using tools like COMSOL Multiphysics forms a critical component of his research methodology for simulating complex bioelectronic systems. His recent publication trend (2018-2024) reveals a strong focus on organic photocapacitors and photovoltaic devices for neural and cardiac stimulation. Key themes include wireless optoelectronic nerve stimulation, chronic neural interfaces, and the fundamental mechanisms of photocapacitive versus photofaradaic stimulation. His work bridges materials science, neuroscience, and biomedical engineering to develop next-generation bioelectronic interfaces with applications in medical devices and fundamental biological research. Dr. Đerek teaches courses in atomic and molecular physics at both undergraduate and doctoral levels, including "Atomska i molekulska fizika" (Atomic and Molecular Physics), "Osnove atomske i molekulske fizike" (Fundamentals of Atomic and Molecular Physics), and doctoral-level "Spektroskopske metode u proučavanju molekulskih vibracija" (Spectroscopic Methods in Molecular Vibration Studies).

• Rehabilitation Robotics
• Neural Technologies
• Brain-Computer Interfaces
• +۱۰ مورد دیگر

Dingguo Zhang is a Reader in Robotics Engineering at the Department of Electronic & Electrical Engineering, Faculty of Engineering & Design, University of Bath. He is affiliated with several interdisciplinary research centers including the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI, the Centre for Bioengineering & Biomedical Technologies (CBio), the Bath Institute for the Augmented Human, and IAAPS. His work bridges robotics, neuroscience, and biomedical engineering to develop advanced assistive and rehabilitative technologies. His research focuses on Rehabilitation Robotics, Neural Technologies, Brain-Computer Interfaces (BCIs), and Robotic Exoskeletons . He investigates how neural signals such as EEG and EMG can be used to control prosthetic devices, exoskeletons, and communication systems, particularly for individuals with neurological impairments. His work also involves signal processing, machine learning, and adaptive control strategies to improve human-machine interaction. Key themes include decoding motor and speech intentions, fatigue assessment, and closed-loop neuromodulation. The recent publications reflect a strong trend toward invasive and non-invasive neural interface development , especially in decoding speech from intracranial EEG and enhancing BCI performance through advanced preprocessing and deep learning. There is also significant focus on wearable robotics for stroke and spinal cord injury rehabilitation , with integration of soft actuators, hybrid control, and real-time adaptation. Multimodal sensing (e.g., EEG-fNIRS, EMG-force) and patient-centered design are recurring elements across his work. Dr. Zhang has received recognition through his status as an IEEE Senior Member (EMBS, RAS, SMC) and IFESS Lifetime Member . He serves on the editorial boards of five journals including IEEE Transactions on Neural Systems & Rehabilitation Engineering and Frontiers in Neurorobotics , and has held leadership roles such as co-chair of IFESS 2024. He is actively involved in research funding and supervision. He is Principal Investigator (PI) on the EPSRC-funded dSPEECH project, which aims to decode speech using invasive BCIs, and Co-Investigator on an NIHR-funded project developing an ear-switch-controlled exoskeleton for stroke rehabilitation . He welcomes PhD students and is committed to training the next generation of researchers in neurotechnology and robotics. Dr. Zhang leads or contributes to research within collaborative labs and teams focused on bioengineering, augmented human systems, and accountable AI . These include the Centre for Bioengineering & Biomedical Technologies and the Bath Institute for the Augmented Human, where interdisciplinary teams develop next-generation assistive technologies grounded in ethical and transparent AI principles.

Alina Rweiمشاهده پروفایل

استادیار

• Drug Delivery
• Wearable Bioelectronics
• Precision Medicine
• +۱۴ مورد دیگر

Dr. Alina Rwei is an Assistant Professor in the Department of Chemical Engineering at Delft University of Technology (TU Delft), Faculty of Applied Sciences. She leads the Rwei Group, focusing on innovative biomedical technologies at the intersection of materials science, engineering, and biology. Her research aims to bridge clinical translation with scientific discovery through smart therapeutic and diagnostic platforms. Academic Background: Bachelor’s and Ph.D. in Chemical Engineering and Materials Science and Engineering from the Massachusetts Institute of Technology (MIT) Ph.D. supervised by Prof. Robert Langer (MIT) and Prof. Daniel Kohane (Harvard Medical School) Postdoctoral training in the lab of Prof. John Rogers at Northwestern University Research Interests: Dr. Rwei’s work focuses on precision medicine through externally triggerable drug delivery systems and wearable biosensors. Her group develops liposome-based platforms activated by light, ultrasound, and magnetic fields for targeted cancer and pain therapies. Concurrently, they engineer wearable bioelectronic sensors for real-time, non-invasive monitoring of biomarkers in sweat and physiological states, particularly in pediatric and neonatal care. Publication Trends: Her recent publications reflect a strong emphasis on translational biomedical engineering, combining nanotechnology with clinical applications. Key themes include ultrasound- and light-responsive drug carriers, wearable biosensors for cerebral hemodynamics, and aptamer-based detection systems. The integration of modeling, in vitro/in vivo validation, and device engineering underscores a systems-level approach to therapeutic innovation. Scientific Awards: Postdoctoral Fellowship Research Training Award (TL1) – NIH/NCATS Clinical and Translational Science Awards Program Advising and Grants: Dr. Rwei actively mentors a diverse team of postdocs, PhD candidates, and master’s and bachelor’s students. She supervises numerous MEP and BEP projects, fostering early-career development in interdisciplinary research. While specific grants are not listed, her NIH-supported postdoctoral fellowship and high-impact publications in journals like Nature Medicine and Science Advances suggest a strong grant funding profile. Labs and Teams: The Rwei Group operates at TU Delft, conducting cutting-edge research in precision therapeutics. The team is structured around two main tracks: externally triggerable nanoparticles and wearable sensor technology. They collaborate with clinical and engineering partners to develop closed-loop therapeutic systems and multiplexed sensing platforms for real-world healthcare applications.

• Neuroscience
• Cardiovascular Medicine
• Hypertension
• +۳ مورد دیگر

John Osborn is a Professor in the Department of Surgery at the Institute for Engineering in Medicine, University of Minnesota , with a focus on hypertension , renal medicine , and neurocardiology . His research explores autonomic regulation, neural stimulation, and interventional therapies for cardiovascular disorders. Current projects include vagus nerve stimulation for cardiovascular modulation (2021-2028), renal denervation trials with Ablative Solutions (2021-2026), and transcriptomic analysis of sensory neurons in neurogenic hypertension (2024-2025). His work contributes to UN Sustainable Development Goals through medical device innovation and precision hypertension treatment . Research Trends : Recent publications focus on renal nerve mechanisms , vagal excitation , and neurohumoral interactions in cardiovascular disorders, with interdisciplinary applications spanning neuroscience , physiology , and biomedical engineering . Collaborations : Dr. Osborn works with institutions like NIH , Verve Medical , and Augusta University , collaborating with experts in neurology , biomedical engineering , and cardiovascular medicine .