Did You Know?

 Georgia Tech alumni and faculty have invented a number of technologies including Elmer's Glue-All, household bleach, the O-Celo cellulose sponge, the first intelligent modem for computers, and the world's first home physiological monitoring device.

Hongwei Wu, Ph.D.

Title: 
Assistant Professor, Electrical and Computer Engineering
Phone: 
(912) 965-2386
Fax: 
(912) 966-7928
Building-Room: 
PARB 220
Web Sites:
Education: 
  • Ph.D. Electrical Engineering, University of Southern California, 2004
  • M.S. Electrical Engineering, University of Southern California, 2002
  • M.Eng. Pattern Recognition and Intelligent Systems, Tsinghua University, Beijing, China, 1999
  • B.Eng. Automatic Control, Tsinghua University, Beijing, China, 1997
Research Interests: 
  • Computational Biology / Bioinformatics, particularly in comparative genomic analysis and computationally reconstructing
  • Computational Intelligence, particularly in applications to computational biology / bioinformatics, pattern recognition and signal processing
Biography: 

Before joining Georgia Tech, Dr. Wu worked as a post-doctoral research associate in Oak Ridge National Lab and University of Georgia, in the field of Computational Biology/Bioinformatics. Computational biology/bioinformatics is highly inter-disciplinary, ranging from the acquisition and understanding of comprehensive and high-definition data sets, to the construction of quantitative models and computer simulations, and to the systemic analyses of complex biological phenomena. Having been trained in Electrical Engineering, Dr. Wu is well equipped with computational and mathematical skills to tackle some of the most interesting and challenging problems in computational biology/bioinformatics. She has also gained tremendous knowledge in molecular and evolutionary biology, genetics and microbiology through her post-doctoral training. Dr. Wu’s research interests are focused on multi-dimensional genome annotations, from functional genomics (functional annotations of individual genes, cis-regulatory elements, etc) to system biology (quantitative specification of interactions among cellular components), using the mathematical, computational and engineering techniques.

The Path Forward

The Path Forward