Closed-Loop Nervous System Interfaces Professors and Supervisors

Tianruo Guoمشاهده پروفایل

مدرس

University of New South WalesAustralia

Dr. Tianruo Guo is a Lecturer of Neuromodulation and Early Career Academic Fellow at the Graduate School of Biomedical Engineering, UNSW Sydney. He leads a computational modelling team focused on developing virtual nervous systems and advancing neuromodulation therapies. His research integrates computational techniques with experimental neuroscience to study neural responses to electrical/optogenetic stimulation, particularly in retinal degeneration and bionic device design. He has pioneered the 'Virtual Human Retina' platform for optimizing artificial vision solutions and has published over 80 peer-reviewed articles. Dr. Guo holds a PhD in Computational Neurophysiology from UNSW (2015), along with a Master of Philosophy (2011) and Bachelor of Engineering (2007). Research Interests : Computational Modelling, Neuromodulation, Bionic Vision, Retinal Prosthetics, Neurophysiology, and Optogenetic Stimulation. His work spans experimental neuroscience, virtual organ simulations, and translational biomedical engineering. Grants & Awards : Over AUD $1.8M in research/education funding, including grants from UNSW, The Royal Society, and industry partners. Awards include UNSW Excellence in HDR Supervision (2024), ABEC Best Poster (2018), and multiple travel grants. He co-chaired EMBC2023 and served as Topic Editor for Journal of Neural Engineering . Advising & Teaching : Supervises 30+ PhD/MPhil students and mentors across institutions. Teaches courses on Bioelectronics, Modelling Organs, and Computational Neurophysiology. Leads educational projects on biomedical engineering innovation. Labs & Collaborations : Active in transdisciplinary projects, including closed-loop vagus nerve stimulation for inflammatory diseases and collaborations with Tsinghua University, Shanghai Jiao Tong University, and industry partners like Lixi Biological Products.

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David Tsaiمشاهده پروفایل

مدرس ارشد

University of New South WalesAustralia

Dr. David Tsai is a Senior Lecturer at the University of New South Wales (UNSW), jointly appointed between Biomedical Engineering and Electrical Engineering. He leads the Biomedical Microsystems Lab , focusing on miniature microelectronic devices for brain-machine interfaces and subcutaneous biosensing. His research has been continuously funded by the NHMRC since 2013, including an ongoing Ideas grant for soft brain-machine interfaces. He has secured >$3.8M in total funding, with support from the Kavli Foundation and ARC Linkage Infrastructure Grants . His work has appeared in Nature Communications , Nature Nanotechnology , and IEEE Transactions on Biomedical Circuits and Systems . Scientific Recognition: IEEE EMBC Student Paper Award (twice) IEEE EMBC Best Papers Award NHMRC CJ Martin Fellowship (2013-2017) Kavli Foundation Postdoctoral Fellowship (2012-2013) Education: PhD in Biomedical Engineering (2012), UNSW MBiomedE (2007), UNSW BE (Software, First Class Honours) (2007), UNSW Research Themes: Development of ultra-dense microelectrode arrays for cellular-resolution electrophysiology, computational modeling of retinal responses to electrical stimulation, and standardization of neurotechnology data formats. His lab collaborates with industry partners like LeafLabs LLC , BlackRock Microsystems , and Contactile .

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Michelle Hookمشاهده پروفایل

دانشیار

Texas A&M UniversityUnited States

Michelle Hook, PhD is an Associate Professor in the Department of Neuroscience & Experimental Therapeutics at the Texas A&M University School of Medicine. Her research focuses on the neurobiological and physiological consequences of spinal cord injury (SCI), with an emphasis on opioid-induced recovery impairment, depression/cognitive deficits, and bone loss. She holds a PhD from the University of New England (1998). Education : PhD in Neuroscience, University of New England, 1998 Research Interests : Dr. Hook’s lab investigates three core areas: (1) adverse effects of opioids (e.g., morphine, oxycodone) on SCI recovery mechanisms, including glial activation and neuronal death; (2) sex-dependent depression and cognitive deficits post-SCI, linking inflammatory biomarkers (e.g., cytokines, neurogenesis) to behavioral outcomes; and (3) sympathetic nervous system-driven bone loss via osteocyte dysfunction and marrow niche changes. Her work combines rodent models with translational strategies to identify adjuvants for opioid therapy, neuroprotective interventions, and bone preservation therapies. Key Contributions : Discovered that kappa opioid receptor antagonism mitigates morphine’s detrimental effects on SCI recovery Validated novel methods to assess depression-like behavior in SCI rats Identified osteocyte inflammation as a driver of post-SCI osteoporosis Future Directions : Expanding studies on gut-brain interactions in post-injury mood disorders, optimizing chemogenetic tools to modulate pain pathways, and developing implantable closed-loop systems for gait rehabilitation.

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Patrick Ganzerمشاهده پروفایل

استادیار

University of MiamiUnited States

Patrick Ganzer serves as an Assistant Professor in the Department of Biomedical Engineering within the College of Engineering at the University of Miami. His research focuses on developing closed-loop neuromodulation therapies, with particular emphasis on integrating machine learning approaches to decode biosignals and promote neuroplasticity for neurological recovery. Ganzer's research interests span multiple interconnected domains including closed-loop neuromodulation systems, machine learning applications for physiological signal processing, and neuroplasticity mechanisms following neurological injury. His laboratory investigates how reactive nerve stimulation can be precisely timed to disease events to optimize therapeutic outcomes, with applications in spinal cord injury, stroke recovery, and cardiovascular dysfunction. His recent publications reveal a strong focus on using artificial intelligence to detect and reverse physiological abnormalities, particularly in cardiovascular and neurological contexts. The research demonstrates how machine learning can decode sympathetic responses, optimize vagus nerve stimulation timing, and predict clinical outcomes in conditions like atrial fibrillation. Krishna Kumar New Investigator Award (2022) Ganzer leads the Ganzer-Kanumuri Neurotechnology Lab, mentoring multiple PhD students, postdoctoral fellows, and undergraduate researchers. His research is supported by significant NIH funding (R01 NS131493) and Florida Department of Health grants (COPBC), indicating strong institutional confidence in his research direction. Current projects explore how chronic stress alters supraspinal blood pressure control, the relationship between cardiovascular remodeling and deficits after spinal cord injury, and state-dependent vagus nerve stimulation approaches. The Ganzer-Kanumuri Neurotechnology Lab operates as a collaborative environment with Dr. Vivek V. Kanumuri as Co-Principal Investigator, focusing on closed-loop neuromodulation therapies that integrate disease event detection with precisely timed nerve stimulation to promote functional recovery.

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John P. Seymourمشاهده پروفایل

دانشیار

The University of Texas Health Science Center at HoustonUnited States

John P. Seymour, PhD is an Associate Professor at The University of Texas Health Science Center at Houston (UTHealth Houston) leading the Translational Bioelectronics Lab. His work spans multiple institutions through key affiliations with the Texas Institute for Restorative Neurotechnologies (TIRN) and Rice University's neuroengineering community. Dr. Seymour's educational background includes: Ph.D. in Biomedical Engineering from the University of Michigan M.S. in Biomedical Engineering from the University of Michigan B.S. in Engineering Physics from Ohio State University His research focuses on developing advanced neural interfaces to treat neurological conditions including epilepsy, aphasia, locked-in syndrome, and ALS. The Translational Bioelectronics Lab addresses critical challenges with current neurotechnology through computational electrode design, microfabrication techniques, and advanced packaging of integrated circuits. Dr. Seymour's work specifically targets reducing brain damage risks, infection potential, and improving clinical outcomes of implantable devices. His lab is part of the Texas Institute for Restorative Neurotechnologies co-directed by neurosurgeon Nitin Tandon, MD, creating a direct bridge between engineering innovation and clinical application. Analysis of Dr. Seymour's publication record reveals strong emphasis on flexible and stretchable neural interfaces, particularly for peripheral nerve applications and bladder monitoring systems. His research integrates materials science, microfabrication, and neuroscience to develop next-generation neural interfaces that minimize tissue damage while maximizing signal quality. Key trends include non-penetrating interfaces, multicolor optogenetic tools, closed-loop neural systems, and advanced materials like PEDOT/CNT coatings for improving chronic stability of neural recordings. Dr. Seymour actively mentors students through his lab which maintains strong connections with both clinical and engineering communities. The lab receives funding through multiple channels including NIH grants, institutional support from UTHealth, and collaborative projects with Rice University. His leadership in the field is evidenced by numerous patents related to neural interface technology. The Translational Bioelectronics Lab operates within specialized facilities including a 'brain kitchen' and 'biomaterials' lab designed for creative engineering work. The lab shares space at a state-of-the-art facility with Rice University neural engineers, providing access to Rice's nanofabrication facility and creating exceptional opportunities for translational neuroengineering research at the Texas Medical Center.

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