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The field of biomedical signal/image processing and bioinformatics encompasses techniques for the acquisition, processing, classification, and analysis of digital biomedical information. The program is designed to provide advanced training in processing biomedical signals, images, and related information, classification, and analysis of biomedical data, and decision support of clinical processes. Sample applications include: (1) digital imaging research utilizing modalities ranging from x-ray imaging, MR and CT, to PET and SPECT, to optical microscopy, to combinations such as PET/MR; (2) signal processing research on hearing to voice recognition to wireless sensors; (3) bioinformatics research, such as correlation of clinical findings with genomic markers. Field 2: Biomedical Instrumentation (top of page) This program is designed to train biomedical engineers interested in the applications and development of instrumentation used in medicine and biotechnology. Examples include the use of lasers in surgery and diagnostics, new micro electrical machines for surgery, sensors for detecting and monitoring of disease and controlled drug delivery systems. The principles underlying each instrument and the specific needs in medical application will be emphasized. Field 3: Biomechanics, Biomaterials and Tissue Engineering (top of page) This broad field encompasses three sub-fields which include biomechanics, biomaterials and tissue engineering. The properties of bone, muscles and tissues, the replacement of natural materials with artificial compatible and functional materials such as polymer composites, ceramics and metals, and the complex interactions between implants and body are studied. Field 4: Molecular and Cellular Bioengineering (top of page) The field of molecular and cellular bioengineering encompasses the engineering of enzymes, cellular metabolism, biological signal transduction, and cell-cell interactions. The emphasis of research is on the fundamental basis for diagnosis, disease treatment, and re-design of cellular functions at the molecular level. Graduates of this program will be targeted principally for employment in academia; in government research laboratories; and in the biotechnology, pharmaceutical, and biomedical industries. Field 5: Biocybernetics (top of page) Graduate study in Biocybernetics is intended for science
or engineering students interested in biosystems, with the emphasis on
systems. This encompasses the systems engineering/cybernetics-based integrative
machinery for studying hierarchical and/or integrative properties or behavior
of living systems, and includes regulation, control, communication, measurement,
visualization and integration of bioprocesses and associated mathematical
and computer modeling. The program provides directed interdisciplinary
biosystem studies, to establish a solid foundation in system and information
science, mathematical modeling, measurement and integrative biosystem
science, as well as related, specialized subject areas. The program fosters
careers in research and teaching in engineering, medicine and/or the biomedical
sciences, or research and development in the biomedical or pharmaceutical
industry. Research application areas include biomedical systems, pharmacological
systems, biotechnology systems, systems biology, neuroscience, cognitive
science, and imaging and remote sensing systems for the life sciences.
Our faculty have principal appointments in diverse departments across
campus, and well-equipped laboratories for graduate student research projects.
Faculty research areas include neuroendocrinology, metabolism, neuroscience,
cardiology, pharmacokinetics and pharmacodynamics, robotics, learning
systems, speech processing, artificial and real neural network modeling,
normative expert systems, imaging, wireless remote sensing systems, visualization
and virtual clinical environments. Medical and imaging informatics research, including content-based image retrieval from databases and clinical information infrastructures and knowledge engineering. Graduates of this program will be able to integrate advanced digital processing and artificial intelligence technologies with health care activities and biomedical research. They will be prepared for careers involving innovation in the fields of signal processing, medical imaging, and medical-related informatics in either industry or academia. For for information on Biomedical Imaging Informatics, please
go to: Field 7: Neuroengineering (top of page) The Neuroengineering Program is a joint endeavor between the Interdepartmental Ph.D. Program for Neuroscience, NET, and the Biomedical Engineering Graduate Program in SEAS, with the active involvement of scientists and technologists from JPL. The objectives of the Neuroengineering Sub-Field are:
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