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 biomed-related research in EE

Biomedical-Related Research in Electrical Engineering

Electrical Engineering faculty at the Jonsson School are pursuing a growing amount of research regarding the biological and biomedical applications of electrical engineering, including:

  • Modern drug dynamics
  • Signal processing algorithms for cochlear implants
  • Speech-processing applications
  • Medical Image Processing
  • Nanotechnology and MEMS
  • Hospital applications of wireless technologies

Bioengineering Research Details

Cellular Microscopy
Modern biological research is on the verge of revolutionizing the treatments of many devastating diseases, but progress depends crucially on engineering advances. One emphasis of our research is developing microscopy tools that allow investigation of how modern drugs such as antibodies are processed in the live cells. We are developing approaches that permit the detection of such molecules at a resolution well below that predicted by classical resolution criteria such as Rayleigh’s criterion. The research is conducted in a highly multidisciplinary environment where biologists interact with engineers and computer scientists. We work in conjunction with Prof. E.S. Ward from UT Southwestern Medical Center in the UTSW/UTD Laboratory for Cellular Microscopy and Biodata Analysis with support from NIH and other organizations.

Cochlear Implant Laboratory
Several investigations are under way, including the analysis and development of signal-processing strategies for cochlear implants, acoustic simulations of cochlear implants, the development of signal-processing strategies for noisy environments, the study of speech perception by cochlear implant patients, and the development of assistive listening devices for cochlear implants based on Bluetooth technology.

Embedded Systems and Signal Processing Lab
The Embedded Systems and Signal Processing Lab investigates how embedded processing and sensing systems employing advanced signal-processing techniques can improve medical care and enhance lives. Injuries, wounds, diseases and learning disabilities deny people the freedom and opportunities they crave. By partnering with world-class medical research teams, we have access to data and expertise that allow us to help return some of these freedoms. We are developing platforms to monitor the progression of disease, provide feedback to aid in rehabilitation, and even identify actions and postures that can lead to injury. This research requires an inherently multidisciplinary approach, exploiting ideas from fields as diverse as pattern recognition, signal processing and embedded system design. In most cases, we build our systems from scratch, which involves hardware and software design. We use the systems to collect data. The design techniques mostly are derived from case study on data and by exploiting specific properties of the signal processing.

Wireless Sensor Networks in Telemedicine
Wireless sensor networks (WSNs) will be of extraordinary benefit in the medical industry in general and in telemedicine in particular. We are currently involved in research on several issues: infrastructure installation, power generation and device mobility. Routers must be powered in an energy and cost efficient manner, and we have developed a method to allow these nodes to be self powered. An intelligent routing algorithm has been written to manage and utilize scavenged energy, and we are working to interface various medical instruments to our sensor nodes.

Bioengineering Labs

Bio-nanotechnology Lab
Cochlear Implant Laboratory
Embedded and Adaptive Computing Group
Embedded Systems and Signal Processing Lab
Micro/Nano Devices and Systems Lab (MiNDS)
Quality of Life Technology Laboratory
Signal and Image Processing Laboratory
Speech Processing Lab

Faculty Conducting Biomedical-Engineering-Related Research

Bhaskar Banerjee
Dinesh Bhatia
John Hansen
Walter Hu
Roozbeh Jafari
Nasser Kehtarnavaz
Kamran Kiasaleh
Hoi Lee
JB Lee
Philip Loizou
Raimund Ober
Issa Panahi
Lakshman Tamil


Ph.D. Positions Available

Ph.D. positions are available in Prof. Raimund Ober’s laboratory to study the dynamics of modern drugs in a cellular environment using high-resolution microscopy and to develop microscopy tools for studying such processes.

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