Dr Vinh Nguyen - Researcher Profile

Dr. Vinh Nguyen

Address

Monash University
Wellington Road, Clayton

Biography

I am currently a postdoctoral research fellow in Bioinformatics & Data Mining at the Faculty of Information Technology, Monash University.

 

 

Keywords

Bioinformatics, Data mining , Machine learning

Qualifications

ELECTRICAL ENGINEERING & TELECOMMUNICATIONS
Institution: The University of New South Wales, Sydney
Year awarded: 2011
INFORMATION TECHNOLOGY
Institution: The Rector of Hanoi University of Technology
Year awarded: 2005

Publications

Journal Articles

Nguyen, V., Chetty, M.R., Coppel, R.L., Wangikar, P.P., 2012, Gene regulatory network modeling via global optimization of high-order dynamic bayesian network, BMC Bioinformatics [P], vol 13, issue 131, BioMed Central Ltd, United Kingdom, pp. 1-16.

Nguyen, V., Chetty, M.R., Coppel, R.L., Wangikar, P.P., 2012, Gene regulatory network modeling via global optimization of high-order dynamic bayesian network, BMC Bioinformatics [P], vol 13, issue 131, BioMed Central Ltd., United Kingdom, pp. 1-16.

Nguyen, V., Chetty, M.R., Coppel, R.L., Wangikar, P.P., 2012, Issues impacting genetic network reverse engineering algorithm validation using small networks, Biochimica et Biophysica Acta - Proteins and Proteomics [P], vol 1824, issue 12, Elsevier BV, Netherlands, pp. 1434-1441.

Morshed, N., Chetty, M.R., Nguyen, V., 2012, Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique, BMC Systems Biology [P], vol 6, issue 62, BioMed Central Ltd, United Kingdom, pp. 1-15.

Nguyen, V., Chetty, M., Coppel, R., Wangikar, P., 2011, GlobalMIT: learning globally optimal dynamic Bayesian network with the mutual information test criterion, Bioinformatics [P], vol 27, issue 19, Oxford University Press, Oxford England, pp. 2765-2766.

Conference Proceedings

Chowdhury, A.R., Chetty, M.R., Nguyen, V., 2012, Adaptive regulatory genes cardinality for reconstructing genetic networks, 2012 IEEE World Congress on Computational Intelligence, Institute of Electrical and Electronics Engineers, Inc, Piscataway NJ USA, pp. 955-962.

Nguyen, V., Chetty, M.R., Coppel, R.L., Wangikar, P.P., 2012, Data discretization for dynamic Bayesian network based modeling of genetic networks, Neural Information Processing 19th International Conference, ICONIP 2012 Proceedings, Part II, 12 November 2012 to 15 November 2012, Springer, Berlin Heidelberg Germany, pp. 298-306.

Morshed, N., Chetty, M.R., Nguyen, V., 2012, FusGP: Bayesian co-learning of gene regulatory networks and protein interaction networks, Neural Information Processing 19th International Conference, ICONIP 2012 Proceedings, Part V, 12 November 2012 to 15 November 2012, Springer, Berlin Heidelberg Germany, pp. 369-377.

Nguyen, V., Chetty, M.R., Coppel, R.L., Wangikar, P.P., 2012, Local and global algorithms for learning dynamic Bayesian networks, The 12th IEEE International Conference on Data Mining (ICDM 2012), 10 December 2012 to 13 December 2012, IEEE Computer Society Press, Washington DC USA, pp. 685-694.

Chowdhury, A.R., Chetty, M.R., Nguyen, V., 2012, On the reconstruction of genetic network from partial microarray data, Neural Information Processing 19th International Conference, ICONIP 2012 Proceedings, Part I, 12 November 2012 to 15 November 2012, Springer, Berlin Heidelberg Germany, pp. 689-696.

Nguyen, V., Chetty, M., Coppel, R., Wangikar, P., 2011, Dynamic bayesian network modeling of cyanobacterial biological processes via gene clustering, 18th International Conference on Neural Information Processing (ICONIP 2011), 13 November 2011 to 17 November 2011, Springer-Verlag, Berlin Germany, pp. 97-106.

Nguyen, V., Chetty, M., Coppel, R., Wangikar, P., 2011, Polynomial time algorithm for learning globally optimal dynamic bayesian network, 18th International Conference on Neural Information Processing (ICONIP 2011), 13 November 2011 to 17 November 2011, Springer-Verlag, Berlin Germany, pp. 719-729.

Morshed, N., Chetty, M., Nguyen, V., 2011, Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique, 18th International Conference on Neural Information Processing (ICONIP 2011), 13 November 2011 to 17 November 2011, Springer-Verlag, Berlin Germany, pp. 248-257.