UB - University at Buffalo, The State University of New York

Medical Applications and Bioinformatics

Medical Applications

Research in medical applications focuses on developing efficient algorithms and techniques for automatic (or semi-automatic) analysis of biomedical images, medical evaluation, computer assisted diagnosis and surgery, and treatment planning. Techniques used in this interdisciplinary area often come from Computer Vision, Imaging Processing, High Performance Computing, Finite Element Modeling, Machine Learning, Graphics, Algorithms, Computational Geometry, and Optimizations.

Faculty

• Vipin Chaudhary (Associate Professor)
  
• Jinhui Xu (Associate Professor)
• Jason Corso (Assistant Professor)

Research Focuses

• Dr. Chaudhary's research interests include all aspects of computer assisted diagnosis and surgery and architectures and parallelization of bioinformatics algorithms. His current focus is on diagnosis of orthopedic problems, computer assisted neurosurgeries, and parallel implementations and architectures for bioinformatics algorithms. He is building a neurosurgery planning tool that incorporates multi-modality image segmentation and registration, brain shift prediction, intelligent real-time planning, augmented reality, and telesurgery. He is collaborating with the Department of Neurosurgery and is associated with the New York State Center of Excellence in Bioinformatics and Life Sciences.
• Dr. Xu's research in this area focuses on designing geometric algorithms and optimization methods for cancer therapy (including radiation therapy and brachytherapy), cardiovascular treatments and diagnosis, and biomedical images analysis. For cancer therapy, he works on problems related to configuring radiation beams, planning treatment, and locating brachytherapy seeds. For cardiovascular treatments and diagnosis, he focuses on problems related to angiogram, stent implant, and blood vessels reconstruction and analysis. For biomedical imaging analysis, he works on problems related to segmentation, and determining organization, dynamics, and mobility patterns of (living) cell nucleus.
• Dr. Corso's research, centered in the Vision and Perceptual Machines Lab, focuses on computer and medical vision, computational biomedicine, machine perception, smart environments and interfaces.

Bioinformatics

Research in Bioinformatics focuses on development of novel algorithms and architectures for genomics, proteomics, microarray analysis. The interested areas include protein-protein interaction network analysis, microarray data analysis, high dimensional data visualization, computational analysis and interpretation of Genomes, protein structure prediction, comparison, and modeling, evolutionary studies of Genomic ORFans, molecular recognition and docking of ligands onto receptors, and microarray analysis using variational Bayes.

Faculty

• Aidong Zhang (Professor)
  
• Daniel Fischer (Associate Professor)

Research Focuses

• Aidong Zhang's research is on the areas of protein-protein interaction network analysis, microarray data analysis and high dimensional data visualization.
• Daniel Fischer's research is aimed at a better understanding of life at the molecular level using "in silico" or computational tools. The goal is to interpret the information encoded in biological macromolecules, from individual proteins to complete genomes.
  His research interests include:
  • Bioinformatics
    
  • Computational Structural Molecular Biology
    
  • Computational Analysis and Interpretation of Genomes
    
  • Protein Structure Prediction and Modelling
    
  • Evolutionary Studies of Genomic ORFans
    
  • Protein Structure Comparison
    
  • Molecular Recognition and Docking of Ligands onto Receptors