HAIXIN WANG

Associate Professor
Department of Mathematics and Computer Science (CTM  214)
Fort Valley State University
Fort Valley, GA 31030
Tel:       (478)827-3149
Email:   wangh@fvsu.edu
Fax:      (478)825-6286

TEACHING

Graduate Course: Computational Biology

Undergraduate courses: Data Structure, Algorithm Analysis, Circuit I/II, C/UNIX, Digital Fundamentals, Introduction to Computers, Statics and Dynamics, Web Development, Overview

RESEARCH AREAS

– Bioinformatics
– Image processing
– Signal processing
– Dynamics programming

PROJECTS

• Co-PI: Research Project-Developing a Minor Program in Applied Statistics within the Department of Mathematics and Computer Science at Fort Valley State University
• $393,684.00  supported by NSF (2014-2017)
• Co-PI: Research Project–An analysis of the use of of energy audits, solar panels, and wind turbines to reduced energy consumption from non Renewable energy sources
• $1.5M supported by Department of the  Army(2011-2014)
• – Energy Auditing
  – Renewable Energy
  – Energy Analysis
  – Energy tool design
• Renewable Energy LAB

PUBLICATIONS

[Bibtex] :

1. H. Wang and D. Aberra, “Noise Analysis of Gene Regulatory Networks Using Particle Filter, International Journal of Clinical Biostatistics and Biometrics, 2015 PDF
2. H. Wang,  “Noise Analysis of Time Series Data in Gene Regulatory Networks, IEEE 2011 PDF
3. Chapter author of the edited book Applied Statistics for Network Biology: Methods in Systems Biology, Wiley, 2011
4. H. Wang,  L. Qian, and  J. Glover, A Comparative Study of the Time-Series Data for Inference of Gene Regulatory Networks Using B-Spline, IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Montral, Canada, 2010. PDF
5. H. Wang,  L. Qian, and  E. Dougherty, Inference of Gene Regulatory Networks using S-System, IET System  Biology, 2010 Vol. 4, No 2 PP. 145-156   PDF
6. H. Wang and L. Qian, Steady-state Analysis of Genetic Regulatory Networks Modeled by Nonlinear Ordinary  Differential Equations. 2009 March IEEE CIBCB. PDF
7. L. Qian, H. Wang, and E. Dougherty,  Inference of Noisy Nonlinear Differential Equation Models for Gene  Regulatory Networks using Genetic Programming and Kalman Filtering,  IEEE Transactions on Signal Processing,  2008 Vol. 56, No 8 PP. 3327-3339 . PDF
8. H. Wang, L. Qian, and  E. Dougherty,  Inference of Gene Regulatory Networks using S-System: A Unified  Approach,  IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007.
9. L. Qian, H. Wang and  E. Dougherty  Inference of Genetic Regulatory Networks by evolutionary Algorithm and     H∞ Filtering ,  IEEE Statistical Signal Processing Workshop, 2007. PDF
10. H. Wang, L. Qian, and E. Dougherty,  Modeling Genetic Regulatory Networks by Sigmoidal Functions: A Joint       Genetic Algorithm and Kalman Filtering Approach, IEEE International Conference on Natural Computation, 2007. PDF
11. H. Wang,  L. Qian, and  E. Dougherty,  Inference of Gene Regulatory Networks using Genetic Programming          and Kalman Filter,  IEEE Genomic Signal Processing and Statistics Workshop, 2006.
12. Haixin Wang and Zhongliang Deng, Research on the Recognition of the foul line, Computer Engineering and                Applications21(2): 10-13,2001.
13. Haixin Wang and Zhongliang Deng ,The Learning System of Five Dimension Sculpture, Journal of Beijing University    of Posts and Telecommunications24(1): 20-23,2001.
14. Haixin Wang and Zhongliang Deng ,Research of Bifurcation Structure in system of Recognizing the Foul Line of      Cars. Computer Engineering, 27(4): 10-11,2001.
15. Haixin Wang and Zhongliang Deng, Data collecting algorithms of Five Dimension Sculpture System Computer      Automated   Measurement & Control, 19(6): 18-21,2000.
16. Haixin Wang and Zhongliang Deng ,Reading and Basic Operations of Bitmap. Application Research of Computers,          18(2): 17-18,2001
17. Haixin Wang and Zhongliang Deng ,An Algorithm on the Data Processing of the Intelligent Sculpture     Technology Journal of    Beijing University of Posts and Telecommunications, 23(4): 16-19,2000.