Biomedical Engineering & Systems Department has 9 research thrusts in the following activities:
Main Research Thrusts
1. Medical Imaging Modalities: physics, instrumentation and computations.
Medical imaging modalities such as radiographic modalitites (x-ray and CT), nuclear imaging (SPECT and PET), ultrasound and Magnetic Resonance Imaging (MRI) as well as spectroscopy (MRS) are vital diagnostic tools in modern medicine. Ongoing research and development in this area requires both wide and in depth knowledge in various physics and engineering desciplines. New imaging methods as well as hybrid techniques are continuously explored to improve diagnostic accuracy and/or aid/evaluate treatment. Research in this multidisciplinary area includes areas of medical physics, instrumentation, modeling, reconstruction methods, computations, safety .... etc.
2. Biomedical Signal and Image Processing
This area includes the processing of the different one, two and multidimensional signals of interest to biomedical applications. This includes signal processing of physiological signals such as electrocardiography (ECG), electroencephalography (EEG), electromyography (EMG), etc. This includes also the processing of images obtained using medical imaging modalities such as ultrasound imaging, computed tomography, magnetic resonance imaging, etc. Several new applications in this area involve multidimensional signal processing such as functional imaging.
3. Medical Instrumentation
Other than medical imaging modalities medical instruments include vital sign monitors, life support machines, lab analyzers ... etc. This area addresses the design considerations and methodologies of medical devices and involves electronic design, mechanical design, biomechanics and rehabilitation engineering, safety design, fault tolerance/diagnosis, etc.
4. Clinical Engineering
This area addresses the basic design concepts of hospital environment including safety, organization, commissioning, management of medical technology, efficient hospital resource allocation, quantitative methods for medical equipment management including risk assessment, equipment replacement policies, optimal hospital space allocation, benchmarking equipment performance, and selection of appropriate technologies.
5. Biomedical Pattern Recognition
This area involves the application of computational pattern analysis and artificial intelligence to allow the recognition of features in biomedical data. This includes several applications such as brain-computer interface, computer-aided diagnosis, biometrics, etc.
6. Health Informatics
This area includes the biomedical applications of computer science such as the design of hospital information systems, picture archiving and communication systems, clinical reporting tools, medical visualization, web-based clinics, etc.
7. Biomedical Modeling
This area involves the application of computer modeling techniques to build robust models for different biomedical applications such as cancer modeling, physiological system modeling, finite element modeling, etc.
This area involves the analysis of the genome and proteome data sets using concepts from computer science and signal processing. Example problems in this area involve genetic matching, gene prediction, fast archiving and search techniques for large data sets, data compression, protein-protein interaction prediction, in-silico experimentation, and gene regulatory networks.
9. Rehabilitation Engineering
Promotes the health and well-being of people with disabilities, improves human quality of life using a full range of systematic applications of engineering sciences to design, develop, adapt, test, evaluate, apply, and distribute technological solutions to problems confronted by individuals with disabilities.
Below is BMES-2015-2018 research plan containing all research topics.