Georgia Tech School of Electrical and Computer Engineering

Robert Butera


 

Biography:

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‚Äôs 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. 

Research Affiliations:

Research Areas:

Research Interests:

  • 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.  

 

Maysam Ghovanloo


 

Research Affiliations:

Research Areas:

Research Interests:

Implantable microelectronic devices, wireless neural interfacing/neuroprostheses, assistive technologies and rehabilitation engineering, smart health and wellbeing, bio-inspired microsystems, low-power analog/digital/mixed-mode integrated circuits.

Christopher Rozell


 

Research Affiliations:

Research Areas:

Research Interests:

  • Biological and computational vision
  • Theoretical and computational neuroscience
  • High-dimensional data analysis
  • Distributed computing in novel architectures
  • 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.

 

Omer Inan


 

Research Affiliations:

Research Areas:

Research Interests:

  • Medical devices for clinically-relevant applications
  • Non-invasive physiological monitoring
  • Home monitoring of chronic disease
  • Cardiomechanical signals
  • Medical instrumentation

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.

Pamela Bhatti


 

Research Affiliations:

Research Areas:

Research Interests:

  • Biomedical sensors and subsystems including bioMEMS
  • Neural prostheses: cochlear and vestibular
  • Vestibular rehabilitation

A. Faith Sarioglu


 

Research Affiliations:

Research Areas:

Research Interests:

  • Nano- and Micro-systems for bio-molecular sensing and imaging
  • Microfluidic devices for cell sorting and disease detection
  • High-throughput bio-analytical instrumentation for cellular and molecular characterization
  • Integrated platforms for point-of care diagnostics
  • Implantable medical devices for minimally-invasive health monitoring

Dr. Sarioglu's research interests are at the interface of nano-/micro-engineering and biomedicine. He is particularly interested in developing N/MEMS-based technologies for biomedical applications.

Hua Wang


 

Research Keywords:

Biosensor, actuators, bioelectronics, microelectronics, integrated circuits, cell/tissue-electronics interface, drug/chemical screening, cell culture.

Research Areas:

Research Interests:

  • Broadband and energy-efficient RF/mm-Wave integrated circuits and systems
  • Self-healing integrated systems for communication, radar, and biosensing
  • Sub-TeraHz system integration for spectroscopy and imaging
  • Hand-held Point-of-Care (PoC) sensing platforms for biomedical and environmental applications
  • Fundamental noise modeling in high-precision measurements

Subscribe to RSS - Georgia Tech School of Electrical and Computer Engineering