Bernard Chen

Georgia State University, Department of Computer Science

34 Peachtree Street Suit 1417

Atlanta, GA 30302-4110, USA

 

Research Interests: 

Bioinformatics, Data Mining, Computational Intelligence, Granule Computing, Fuzzy Logic, High Performance Computing, Parallelization.      

 

Journal Publications:

1.   Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert Harrison and Yi Pan, "Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Information Extraction", International Journal of Functional Informatics and Personalised Medicine, to appear.

 

Conference Publications:

1.   Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert Harrison and Yi Pan, "Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction", IEEE BIBE 2007,Boston, Accepted. (First Runner-Up Best Student Research Paper) PDF               

2.   Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert Harrison and Yi Pan, "Super Granular SVM Feature Elimination (Super GSVM-FE) Model for  Protein Sequence Motif Information Extraction", IEEE CIBCB 2007, Hawaii, proceeding pp.317-323.  PDF

3.   Xuezheng Fu, Bernard Chen, Yi Pan and Robert Harrison. "Statistical Estimate for the Size of the Protein Structural Vocabulary" ISBRA 2007, Altanta, proceeding pp.530-538

4.   Bernard Chen, Phang C.  Tai, Robert Harrison, and Yi Pan,  “FGK model: A Efficient  Granular Computing Model  for  Protein Sequence  Motifs Information Discovery”, IASTED CASB 2006, Dallas, proceeding pp56-61.  PDF 

5.   Bernard Chen, Phang C. Tai,  Robert Harrison,  and Yi Pan,  “FIK model:  A Novel Efficient Granular  Computing Model for Protein Sequence Motifs and Structure Information Discovery”, IEEE BIBE 2006, Washington D.C. , proceding, pp20-26.  PDF

6.   Bernard Chen, Phang C. Tai, Robert Harrison,  and Yi Pan,   "Novel  Clustering  Algorithm  Combined  With DSSP Post Processing For  Protein Sequence Motif Discovering", IEEE GrC 2006, Atlanta, proceeding, pp.449-452

7.   B. Chen, P. Tai, R. Harrison, and Y. Pan, "Novel Hybrid Hierarchical-Kmeans Clustering (H-K-means) for Microarray analysis," IEEE CSB2005, Stanford,  Workshops and Poster Abstracts, pp.105-108

8.   J. He,  B. Chen,  H Hu,  R. Harrison,  P. Tai,  Y. Dong,  and Y. Pan, "Rule  Clustering  and  Super-Rule  Generation for  Transmembrane  segments prediction," IEEE CSB2005, Stanford, workshops and Poster Abstracts, pp. 224-227

 

Book Chapters:

1.   J. He,  H. Hu, B. Chen,  H Hu,  R. Harrison,  P. Tai,  Y. Dong,  and Y. Pan, "Rule Extraction from SVM for Protein Structure Prediction", Rule Extraction form Support Vector Machines, Chapter 10, pp. 227-252

 

 

Oral Presentations:

 

 

Teaching Experiences:

 

Education:

School City Major Year

Georgia State University

Atlanta, USA

Computer Science

2004-Present

Fatima University

Manila, Philippine

Dental Medical Doctor

2002-2004

FU-JEN Catholic University

Taipei, Taiwan

Computer Science

1998-2002

 

Awards: