Research interests:

Stress Modelling
Bio-Inspired Computing
Knowledge Discovery
Data Mining
Machine Learning
Pattern Recognition
Optimisation
Predictive Analytics
Behavioural Analytics


Selected Publications:

N. Sharma and T. Gedeon, "Modelling Stress Recognition in Typical Virtual Environments," International Conference on Pervasive Computing Technologies for Healthcare, 2013, pp. 8-16.

N. Sharma and T. Gedeon, "Hybrid Genetic Algorithms for Stress Recognition in Reading," Evolutionary Computation, Machine Learning and Data Mining in Bioinfomatics, L. Vanneschi, W. Bush, and M. Giacobini (Eds.), Vienna, Austria: Springer Berlin Heidelberg, 2013, pp. 117-128.

N. Sharma and T. Gedeon, "Computational Models of Stress in Reading Using Physiological and Physical Sensor Data," Pacific-Asia Conference in Knowledge Discovery and Data Mining, Gold Coast, Australia, 2013, pp. 111-122.

N. Sharma and T. Gedeon, "Artificial Neural Network Classification Models for Stress in Reading," Neural Information Processing, 2012, pp. 388-395.

N. Sharma and T. Gedeon, "Objective Measures, Sensors and Computational Techniques for Stress Recognition and Classification: A survey," Computer Methods and Programs in Biomedicine, vol. 108, 2012, pp. 1287-1301.

N. Sharma and T. Gedeon, “Stress Classification for Gender Bias in Reading”, B. L. Lu, L. Zhang, and J. Kwok (Eds.): International Conference on Neural Information Processing 2011, Part III, LNCS 7064, Springer-Verlag Berlin Heidelberg, 2011, pp. 348–355.

N. Sharma, T. Gedeon and S. Mendis, "Evolutionary Algorithms Using Cluster Patterns for Timetabling," Intelligent Decision Technologies Journal, 2013, pp. 137-150.