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Research Keyword: computational biology

Faculty: Bansal, Mukul
Department: Computer Science & Engineering
Excerpt: Dr. Bansal develops new computational methods, efficient algorithms, and powerful software tools to help answer fundamental biological questions. He is especially interested in problems related to understanding the evolution of genes, genomes, and species. Some specific research projects include: (1) Inferring the evolution of microbial genomes and gene families to understand how microbes evolve and […]
Categories | Keywords: algorithms, bioinformatics, computational biology, Computer Science and Engineering, genomics, molecular evolution, phylogenetics

Faculty: Huang, Chun-Hsi
Department: Computer Science & Engineering
Excerpt: Dr. Huang’s research interests are primarily in the areas of High Performance Computing, Computational Biology, and Algorithm Design & Analysis. He is particularly interested in investigating research issues involved in the software/hardware infrastructure, middleware and algorithmic support for extreme-scale computation and information extraction. Recently his research efforts have been on the development, deployment and evaluation […]
Categories | Keywords: algorithm design and analysis, computational biology, Computer Science and Engineering, cyber-infrastructure, Experimental Algorithmics, high-performance computing, life science informatics

Faculty: Srivastava, Ranjan
Department: Chemical & Biomolecular Engineering
Excerpt: Dr. Srivastava’s research group focuses on using computational techniques, including mathematical modeling, machine learning, and data mining, to understand, engineer, and optimize biological processes and/or products. His research group validates their computational predictions through experimental studies. As a result, the lab has extensive experience in molecular biology, microbiology, and fermentation technology. Recent efforts include genome-scale […]
Categories | Keywords: antisense technology, bioinformatics, biotechnology, Chemical and Biomolecular Engineering, computational biology, data mining, machine learning, metabolic engineering, systems biology

Faculty: Wu, Yufeng
Department: Computer Science & Engineering
Excerpt: Dr. Wu’s research has been focused on in computational biology and bioinformatics. He is mostly interested in solving problems that are biologically important but not adequately addressed computationally. A large part of his work is devoted to the design, analysis and implementation of practical algorithms for important biological problems. Most of his current work is […]
Categories | Keywords: algorithms, bioinformatics, computational biology, Computer Science and Engineering, high-throughput sequencing data analysis, population genetics