Areas of Research Concentration

Research Areas

• Algorithms and Theory

• Augmentative Technology for the Handicapped

• Computer Networks and Distributed Systems

• Computer Science Education

• Computer Security and Information Assurance

• Computer Vision and Information Visualization

• Databases

• High-Performance and Grid Computing, Cyberinfrastructure, and Computational Science

• Knowledge Representation, Computational Linguistics, and Cognitive Science

• Medical Applications and Bioinformatics

• Multimedia Databases and Information Retrieval

• Pattern Recognition, Machine Learning, and Data Mining

• Programming Languages and Software Systems

• VLSI and Computer Architecture

Research Centers, Labs, and Groups Home Pages

• Center for Unified Biometrics and Sensors

• Center of Excellence for Document Analysis and Recognition

• Center of Excellence in Information Systems Assurance Research and Education

• Bioinformatics Research Group

• Database and Multimedia Research Group

• Distributed Systems Research Group

• Knowledge Media Lab

• Laboratory for Advanced Network Design, Evaluation, and Research

• Language Research Group

• Logical Foundations of Databases Research Group

• Multimedia Information Retrieval

• MultiStore Research Group

• Security, Dependability, and Test Design Automation (SPIDER)

• SNePS Research Group

Facilities

• About Facilities

• Labs

• Special-Purpose Computing

• Research Computing

• Faculty/Staff Computing

• Infrastructure

Departmental Technical Reports

• Technical Report Archive

• Technical Reports submission instructions

• CSE Library and Research Resources

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

	Did You Know

CSE faculty averages some $4.5 million annually in grants for research in areas that range from high-performance computing to data mining.

CSE faculty are major participants in the new $200 million Buffalo Center of Excellence in Bioinformatics.

CSE's MultiStore Research Group is funded by a $1 million NSF grant for the development of high-performance online data-storage systems.

A CSE-affiliated research center developed the systems that postal agencies around the world use for automatically sorting hand-addressed mail.

CSE faculty work with researchers in chemistry, the life sciences, the pharmaceutical sciences, media study, geography, and many other disciplines.

The CSE-affiliated Center for Computational Research is one of the leading academic supercomputing centers in the U.S.

The CSE faculty includes NSF CAREER award holders and ACM, IEEE, and AAAI fellows.

A geometric algorithm developed by CSE professor Jinhui Xu configures a set of radiation beams to destroy brain tumors in a form of computer-aided surgery.

CSE professor Aidong Zhang is developing intelligent content-analysis programs to automatically analyze images, replacing human coding of semantic content.

CSE professor Russ Miller is one of the authors of a program that can determine the structure of molecules as large as 2,000 atoms from X-ray diffraction patterns.

Pursuing work on document verification and identification, CSE researchers use machine-learning algorithms to study handwriting variability.