My research interests focus on image-based computational design and 3D biomaterial printing for patient specific devices and regenerative medicine, with specific interests in pediatric applications. Clinical application interests include airway reconstruction and tissue engineering, structural heart defects, craniofacial and facial plastics, orthopaedics, and gastrointestinal reconstruction. We specifically utilize patient image data as a foundation to for multiscale design of devices, reconstructive implants and regenerative medicine porous scaffolds. We are also interested in multiscale computational simulation of how devices and implants mechanically interact with patient designs, combining these simulations with experimental measures of tissue mechanics. We then transfer these designs to both laser sintering and nozzle based platforms to build devices from a wide range of biomaterials. Subsequently, we are interested in combining these 3D printed biomaterial platforms with biologics for patient specific regenerative medicine solutions to tissue reconstruction.
Gil Weinberg is a professor in Georgia Tech’s School of Music and the founding director of the Georgia Tech Center for Music Technology, where he leads the Robotic Musicianship group. His research focuses on developing artificial creativity and musical expression for robots and augmented humans. Among his projects are a marimba playing robotic musician called Shimon that uses machine learning for jazz improvisation, and a prosthetic robotic arm for amputees that restores and enhances human drumming abilities. Weinberg has presented his work worldwide in venues such as The Kennedy Center, The World Economic Forum, Ars Electronica, Smithsonian Cooper-Hewitt Museum, SIGGRAPH, TED-Ed, DLD and others. His music has been performed with orchestras such as Deutsches Symphonie-Orchester Berlin, the National Irish Symphony Orchestra, and the Scottish BBC Symphony while his research has been disseminated through numerous journal articles and patents. Weinberg received his M.S. and Ph.D. in Media Arts and Sciences from MIT and his B.A. from the interdisciplinary program for fostering excellence in Tel Aviv University.
Haider’s research seeks to identify cellular and circuit mechanisms that modulate neuronal responsiveness in the cerebral cortex in vivo. During his PhD at Yale University, he identified excitatory and inhibitory mechanisms that mediate rapid initiation, sustenance, and termination of activity in the cerebral cortex in vivo. His studies also revealed that inhibitory circuits strongly increase the selectivity, reliability and precision of visual responses to natural visual scences. During his post-doctoral studies at University College London, he extended investigation of inhibitory circuits to the awake brain. His work showed for the first time that synaptic inhibition powerfully controls the spatial and temporal properties of visual processing during wakefulness. His future research will continue building on these themes and investigate mechanisms used by excitatory and inhibitory neuronal sub-types in the cortex during goal-directed behaviors. Discovering how neural networks and synapses control sensory-motor processing is a critical step towards lessening deficits common to many neurological disorders such as schizophrenia, dementia, epilepsy, and autism spectrum disorders.
Annabelle Singer’s research elucidates how such neural activity is decoded at multiple levels: from downstream cells receiving this activity via synaptic inputs to the behavior driven by such activity. To do this she uses a combination of novel electrophysiological, behavioral, optogenetic, and computational tools to determine how neural activity is received and interpreted by downstream cells in awake behaving animals and how neural activity drives behavior.
Prior to joining the faculty at Emory and GA Tech in Dec. 2016, Dr. Pandarinath received his bachelor’s degrees in Computer Engineering and Physics from NC State, Ph.D. in Electrical Engineering from Cornell, and was a postdoctoral fellow in Neurosurgery and Electrical Engineering at Stanford. His work has spanned systems neuroscience and brain-machine interfaces across visual and motor systems. He was the recipient of the Stanford Dean’s Fellowship and the Craig H. Neilsen Foundation Postdoctoral Fellowship in spinal cord injury research, and was a finalist for the 2015 Sammy Kuo Award in Neuroscience from the Stanford School of Medicine.
Our work centers on understanding how the brain represents information and intention, and using this knowledge to develop high-performance, robust, and practical assistive devices for people with disabilities and neurological disorders. We take a dynamical systems approach to characterizing the activity of large populations of neurons, combined with rigorous systems engineering (signal processing, machine learning, control theory, real-time system design) to advance the performance of brain-machine interfaces and neuromodulatory devices.
Dr. Jaydev P. Desai is currently a Professor and BME Distinguished Faculty Fellow in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech. Prior to joining Georgia Tech in August 2016, he was a Professor in the Department of Mechanical Engineering at the University of Maryland, College Park (UMCP). He completed his undergraduate studies from the Indian Institute of Technology, Bombay, India, in 1993. He received his M.A. in Mathematics in 1997, M.S. and Ph.D. in Mechanical Engineering and Applied Mechanics in 1995 and 1998 respectively, all from the University of Pennsylvania. He was also a Post-Doctoral Fellow in the Division of Engineering and Applied Sciences at Harvard University. He is a recipient of several NIH R01 grants, NSF CAREER award, and was also the lead inventor on the “Outstanding Invention of 2007 in Physical Science Category” at the University of Maryland, College Park. He is also the recipient of the Ralph R. Teetor Educational Award. In 2011, he was an invited speaker at the National Academy of Sciences “Distinctive Voices” seminar series on the topic of “Robot-Assisted Neurosurgery” at the Beckman Center. He was also invited to attend the National Academy of Engineering’s 2011 U.S. Frontiers of Engineering Symposium. He has over 150 publications, is the founding Editor-in-Chief of the Journal of Medical Robotics Research, and Editor-in-Chief of the Encyclopedia of Medical Robotics (currently in preparation). His research interests are primarily in the area of image-guided surgical robotics, rehabilitation robotics, cancer diagnosis at the micro-scale, and rehabilitation robotics. He is a Fellow of the ASME and AIMBE.
Surgical Robotics, Haptics, Cancer Diagnosis at the micro-scale, Rehabilitation Robotics
Image-guided surgical robotics, rehabilitation robotics, cancer diagnosis at the micro-scale, and rehabilitation robotics