Computational Ophthalmology, Machine Learning, Image/Video Processing, Computer Vision, Perception, Scene Understanding, Seismic Interpretation, Learning in the Wild, Learning for Autonomous Vehicles, Medical Image Analysis,
Robert Butera is a Professor jointly appointed in the School of Electrical/Computer Engineering at Georgia Tech and the Wallace H. Coulter Dept. of Biomedical Engineering at Georgia Tech and Emory University, both in Atlanta, GA USA. He is also the one of the founders of the Neural Engineering Center, focused on bringing together clinicians and neuroscientists with engineers to develop novel methods for neuromodulation, where he continues to serve on the executive committee. His lab develops methodologies for selectively stimulating and blocking peripheral nerve activity for sensorimotor and organ modulation applications. His group also develops open software (http://www.rtxi.org) for enabling real-time closed-loop control of electrophysiology experiments and more recently is developing ultra-low cost open hardware to do the same (http://www.puggleboard.com). For over 15 years Dr. Butera’s lab has been established in the fields of cellular neurophysiology and computational neuroscience and the development of novel experiments that combine the two through real-time computing. This experience and recent clinical collaborations has motivated his lab to shift research direction over the past few years towards translational neuroscience applications. Professionally, Dr. Butera serves as the Vice-President for Publications for the IEEE Engineering in Medicine and Biology Society. Dr. Butera is a Fellow of AIMBE and AAAS and a Distinguished Lecturer of the IEEE Engineering in Medicine and Biology Society.
Neuromodulation of peripheral nerve activity
Real-time control methods applied to electrophysiology measurements
Autonomic modulation of visceral organs.
Our laboratory combines engineering and neuroscience to tackle real-world problems. We utilize techniques including intracellular and extracellular electrophysiology, computational modeling, and real-time computing.
Applications in imaging, remote sensing, and biotechnology
Dr. Rozell's research interests focus on the intersection of computational neuroscience and signal processing. One branch of this work aims to understand how neural systems organize and process sensory information, drawing on modern engineering ideas to develop improved data analysis tools and theoretical models. The other branch of this work uses recent insight into neural information processing to develop new and efficient approaches to difficult data analysis tasks.
Medical devices for clinically-relevant applications
Non-invasive physiological monitoring
Home monitoring of chronic disease
Dr. Inan is generally interested in designing clinically relevant medical devices and systems, and translating them from the lab to patient care applications. One strong focus of his research is in developing new technologies for monitoring chronic diseases at home, such as heart failure.
Diagnostic imaging and patient-specific image-guided therapeutics including cancer imaging and diagnosis.
Emelianov’s research interests are in the areas of intelligent diagnostic imaging and patient-specific image-guided therapeutics including cancer imaging and diagnosis, the detection and treatment of atherosclerosis, the development of imaging and therapeutic nanoagents, guided drug delivery and controlled release, simultaneous anatomical, functional, cellular and molecular imaging, multi-modal imaging, and image-guided therapy.