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Broad Areas of CBM Specialization
Computational biomedical information sciences:
- Health and bioinformatics
- Artificial intelligence, cognitive science, fuzzy reasoning
- Data and knowledge-basing
- Pattern recognition (e.g., use of neural network models and genetic algorithms)
- Data mining
Computational biostatistics:
- Theoretical and applied
- Statistical modeling, robustness, possibillistic analysis
- Cluster and factor analysis
- Clinical trials studies
Computational biomedical engineering:
- Bio-electromagnetic systems (e.g., heart, brain, neuromuscular)
- Materials and nanotechnology
- Rehabilitation engineering
- Biochemical and biomechanical engineering
- Instrumentation and devices, including medical rebotics
Computational modeling and simulation of biomedical systems and processes:
- Development of computer models to augment and inform experimentation on living organisms
- Computerized simulation studies using those models
- Systems control methods (e.g. simulating how a particular pharmaceutical drug reduces atrial fibrillation, or a state feedback control pacemaker)
Computer bioimage and biosignal analysis (including visualization):
- Acquisition of images and signals
- Realtime programming, acquisition and processing
- Signal vs. noise, filtering, factor analysis, wavelets
- Image pulse sequences
- Image reconstruction and analysis
- Multimodal imaging, including coregistration and multidimensional visualization
- Digital processing of biomedical signals (e.g., EEG, MEG, ECG, EMG, etc.) and images (PET, MRI,SPECT,CT, etc.)
- Inverse modeling (e,g, brain dipole source localization)
- Time series analysis
Complex biodynamical systems:
- Roles of stochasticity and determinism in biomedical systems (e.g., stochastic resonance)
- Linear vs. nonlinear systems
Integration (holism) vs. reductionism:
- Dynamics, learning, plasticity, studies of normal and abnormal growth and development
- Chaos in biomedicine
Note that there is overlap and interdependence among these subjects domains. For example, a researcher working in one area would likely be involved in another area as well. The above list is not exhaustive or restrictive. Research in these areas may be applied to any of the various basic and clinical biomedical disciplines such as:
- Genetics, genomics
- Cardiology
- Neuroscience
- Behavioral Science
- Molecular and structural biology
- Cancer research
- Pathology
- Immunology
- Bioimaging Sciences
Faculty Research
For BioSketch, please click on the faculty name.
Ananth Annapragada, PhD - Drug and Contrast Delivery ; Computational Biomedicine ; Organ and Organism level simulations
Noriaki Aoki, MD, PhD, MS, FJSIM - Decision science/clinical decision support ; Data mining/ modeling in healthcare ; Healthcare technology assessment ; Clinical informatics in extreme environments
Elmer Victor Bernstam, MD, MSE, MS - Clinical practice guideline classification ; Cost-benefit analysis in healthcare ; Information retrieval
Kim Dunn, MD, PhD - Use of information technology for improving access and decreasing costs of care, community health information networks, hand held computer devices in knowledge capture and data verification, telemedicine.
Craig W Johnson, PhD - Conducting design, analysis, interpretation, and publication of education and health oriented research and evaluation studies ; Statistics ; Human learning
Todd R Johnson, PhD - Tools and techniques of cognitive science ; Human interface design ; Develop decision support tools ; Computer models of human problem-solving behavior and learning
Cynthia L Phelps, PhD - Design, development, research, and evaluation of technology-based learning environments integrating the learning sciences, communications, cognitive science and education
Jack W Smith, MD, PhD - Artificial intelligence ; Modeling problem-solving in healthcare ; Implementation of decision support and tutoringsystems ; Modeling complex human problem-solving ; Application of cognitive science to understanding ; Human-computer interaction
James P Turley, RN, PhD - Visual display of complex clinical data ; Impact of data display on decision making by clinicians and lay persons
Hongbin Wang, PhD - Spatial cognition ; Medical decision making abductive/diagnostic reasoning ; Human machine learning ; Computational modeling ; Human-computer interaction
Jiajie Zhang, PhD - Human-centered computing; Medical errors; Information display & visualization;Cognitive science;