Haixin Wang
Professor
College of Arts and Sciences
Haixin Wang
Professor
College of Arts and Sciences
- (478) 827-3149
- wangh@fvsu.edu
-
- Computer Science
-
- Blanchet Computer Technology & Mathematics Building
- 1005 State University Dr.
- Fort Valley, GA, 31030
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 C. Chen, "Estimation of Physical Characteristics of Unhealthy Peach Leaves Using a Two-Step Algorithm", IEEE 2024 International Conference on Intelligent Perception and Computer Vision (CIPCV)
2. H. Wang and C. Chen, "Estimation of Physical Characteristics of Peach Leaves Using K-means Clustering in the L*a*b* Color Space", ACM Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023 475-482. doi: 10.1145/3633637.3633712.
3. H. Wang and C. Chen, "A Two-Step Algorithm for Denoising Peach Tree Leaf Images", IEEE 2023 8th International Conference on Image, Vision and Computing (ICIVC), 2023 :277-285. doi: 10.1109/ICIVC58118.2023.10270603.
4. H. Wang and D. Aberra. "Similarity Evaluation on Noisy Time Series Gene Expression Data using Particle Filter and Longest Common Subsequence", IEEE 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2017), 2017
5. H. Wang and D. Aberra. "Noisy Nonlinear Gene Regulatory Networks Analysis Using Ensemble Kalman Filter Based Particle Filter without a Model", ACM 7th International Conference on Computational Systems-Biology and Bioinformatics (CSBio2016), 2016
6. H. Wang and D. Aberra. "Noise Analysis of Gene Regulatory Networks Using Particle Filter", International Journal of Clinical Biostatistics and Biometrics, 2015
7. Chapter author of the edited book Applied Statistics for Network Biology: Methods in Systems Biology, Wiley, 2011
8. H. Wang and J. Glover "Noise analysis of time series data in gene regulatory networks" IEEE 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)
9. 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, Montreal, Canada, 2010.
10. 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
11. H. Wang and L. Qian. "Steady-state Analysis of Genetic Regulatory Networks Modeled by Nonlinear Ordinary Differential Equations", 2009 March IEEE CIBCB.
12. 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.
13. 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.
14. � L. Qian, H. Wang and E. Dougherty." Inference of Genetic Regulatory Networks by evolutionary Algorithm and H∞ Filtering ", IEEE Statistical Signal Processing Workshop, 2007.
15. 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.
16. 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.
17. Haixin Wang and Zhongliang Deng. Research on the Recognition of the foul line Computer Engineering and Applications 21(2): 10-13,2001.
18. Haixin Wang and Zhongliang Deng. The Learning System of Five Dimension Sculpture, Journal of Beijing University of Posts and Telecommunications 24(1): 20-23,2001.
19. 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.
20. Haixin Wang and Zhongliang Deng. Data collecting algorithms of Five Dimension Sculpture System Computer Automated Measurement & Control, 19(6): 18-21,2000.
21. Haixin Wang and Zhongliang Deng. Reading and Basic Operations of Bitmap. Application Research of Computers, 18(2): 17-18,2001
22. 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.