Dr. Lindsey is interested in developing new imaging technologies for understanding biological processes and for clinical use.
In the Ultrasonic Imaging and Instrumentation lab, we develop transducers, contrast agents, and systems for ultrasound imaging and image-guidance of therapy and drug delivery. Our aim is to develop quantitative, functional imaging techniques to better understand the physiological processes underlying diseases, particularly cardiovascular diseases and tumor progression.
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.
Bilal 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.
Our lab’s long-term goal is to understand how neural activity both produces memories and protects brain health, while using this knowledge to engineer neural activity to treat brain diseases. Our lab studies how coordinated electrical activity across many neurons represents memories of experiences, how this activity fails in animal models of Alzheimer’s disease, and how engineering neurons to produce this activity has neuroprotective effects and engages the brain’s immune system. Integrating innovative experimental and analytical methods, this research will provide unprecedented insight into how neural activity failures lead to memory impairment and will reveal novel ways to engineer neural activity to repair brain function. Using non-invasive approaches, we translate these discoveries from rodents to humans. These insights could lead to radically new ways to treat diseases that affect memory like Alzheimer’s, for which there are no effective therapies.
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.
Jaydev P. Desai, Ph.D, 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.
Systems biology, computational modeling, redox metabolism and signal tranduction.
The Kemp Lab is focused on understanding how metabolism influences the decisions that cells make. Aging, stem cell differentiation, cancer metastasis, and inflammation rely on progressive changes in metabolism resulting in increased levels of reactive oxygen species. Collectively, the accumulation of these molecules is known as cellular oxidation, and pathological levels are referred to as oxidative stress. Our lab develops systems biology tools for investigating how cellular oxidation influences cellular fate and interpretation of cues from the extracellular environment. We are interested in the collective behavior that arises during stem cell differentiation, immune cell responses, or drug treatments from metabolic diversity in individual cells. Because of the numerous biochemical reactions involved, we develop computational models and analytical approaches to understand how complex protein network properties are influenced by redox-sensitive proteins; these proteins typically have reactive thiol groups that are post-translationally regulated in the presence of reactive oxygen species to alter activity and/or function. Experimentally, we develop novel high-throughput single cell techniques for the detection and quantification of intracellular oxidation.
To advance and to accelerate the translation of biomedical discovery, development, and delivery through comprehensive biomedical and health informatics (a.k.a. biomedical big data analytics) for personalized and predictive health care.
Director of Biocomputing and Bioinformatics Core in Emory-Georgia Tech Cancer Nanotechnology Center, and Co-Director of Georgia Tech Center for Bio-Imaging Mass Spectrometry, 3+ Years of Industrial R&D.
Integrated Biomedical Big Data Analytics and Dynamic Systems Modeling for Prediction (e.g. Molecular Pathway, Cellular System, and Whole Body Physiological System, Healthcare Systems Dynamics Modeling).
Comprehensive Biomedical and Health Informatics (e.g. Translational Bioinformatics, Microscopic Imaging Informatics, Mobile Health Informatics) for Personalized Health and Clinical Decision Support.