Mr Mahendra Piraveenan


Research interests

From human relationships to the body's neural networks to the internet, almost everything in the world can be conceptualised as a network, says Dr Mahendra Piraveenan. He studies how complex networks operate, and how this knowledge can be applied to such diverse challenges as arresting contagious disease outbreaks and designing better software.

"There are many structural and functional commonalities between various types of networks - from the social to the biological to the technical - and we can use our understanding of these to design better networks in each domain.

"For example, we can use the patterns observed in biological networks to design better computer networks. Biological networks have evolved through trial and error over millions of years, so are much more robust than built systems. Therefore it's very useful - and very humbling - to try to understand these natural systems and apply their properties and behaviours to improve built systems.

"Understanding social systems can also help us to address challenges. For example, in the event of a contagious disease outbreak where a limited supply of vaccine is available, if we understand how the disease spreads through social networks we can develop an effective and efficient vaccination strategy that targets key actors and stops the spread of the outbreak.

"I've been working in this field since 2006, and I joined the staff of the University of Sydney in 2011. Among the best things about working here are the scope for interdisciplinary collaboration across faculties, and the opportunity to work with students. That can be very inspiring, as students contribute their own interesting ideas. I'm always looking for talented students to undertake research in this field."

Teaching and supervision

ENGG2851 - Data Analytics for Project Management

PMGT5871 - Project Process Planning and Control

Selected publications

Download citations: PDF RTF Endnote

Journals

  • Uddin, M., Thompson, K., Schwendimann, B., Piraveenan, M. (2014). The impact of study load on the dynamics of longitudinal email communications among students. Computers and Education, 72, 209-219. [More Information]
  • Piraveenan, M., Wimalawarne, K., Kasthurirathna, D. (2013). Centrality and composition of four-node motifs in metabolic networks. Procedia Computer Science, 18, 409-418. [More Information]
  • Kasthurirathna, D., Piraveenan, M. (2013). Cyclic Preferential Attachment in Complex Networks. Procedia Computer Science, 18, 2086-2094. [More Information]
  • Piraveenan, M., Prokopenko, M., Hossain, L. (2013). Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks. PLoS One, 8(1), 1-14. [More Information]
  • Piraveenan, M., Thedchanamoorthy, G., Uddin, M., Chung, K. (2013). Quantifying topological robustness of networks under sustained targeted attacks. Social Network Analysis and Mining, 3(4), 939-952. [More Information]
  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2012). Assortative mixing in directed biological networks. IEEE - ACM Transactions on Computational Biology and Bioinformatics, 9(1), 66-78. [More Information]
  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2012). On Congruity of Nodes and Assortative Information Content in Complex Networks. Networks and Heterogeneous Media, 7(3), 441-461. [More Information]
  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2009). Assortativeness and information in scale-free networks. European Physical Journal B. Condensed Matter and Complex Systems, 67(3), 291-300.
  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2009). Local assortativity and growth of Internet. European Physical Journal B. Condensed Matter and Complex Systems, 70(2), 275-285.
  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2008). Local Assortativeness in Scale-Free Networks. Europhysics Letters, 84(2), 28002-p1-28002-p6.

Conferences

  • Chung, K., Piraveenan, M., Levula, A., Uddin, M. (2013). Assessing Online Community-Building through Assortativity, Density and Centralization in Social Networks. 2013 46th Hawaii International Conference on System Sciences (HICSS-46), Los Alamitos, California: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Uddin, M., Piraveenan, M., Khan, M., Amiri, B. (2013). Conceptual quantification of the dynamicity of longitudinal social networks. ASE/IEEE International Conference on Social Computing (SocialCom), 2013, Washington D.C.: IEEE Computer Society. [More Information]
  • Piraveenan, M., Uddin, M., Thedchanamoorthy, G. (2013). Effect of vaccination strategies on the herd immunity of growing networks. ASE/IEEE International Conference on Social Computing (SocialCom), 2013, Washington D.C.: IEEE Computer Society. [More Information]
  • Kasthurirathna, D., Piraveenan, M., Harre, M. (2013). Evolution of coordination in scale-free and small world networks under information diffusion constraints. 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), New York, NY, USA: Association for Computing Machinery (ACM). [More Information]
  • Kasthurirathna, D., Piraveenan, M., Thedchanamoorthy, G. (2013). Network robustness and topological characteristics in scale-free networks. 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), Piscataway, New Jersey, USA: IEEE. [More Information]
  • Piraveenan, M., Uddin, M., Chung, K., Kasthurirathna, D. (2013). Quantifying encircling behaviour in complex networks. 2013 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013), USA: IEEE. [More Information]
  • Thedchanamoorthy, G., Piraveenan, M., Kasthurirathna, D. (2013). Standard deviations of degree differences as indicators of mixing patterns in complex networks. 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), New York, NY, USA: Association for Computing Machinery (ACM). [More Information]
  • Kasthurirathna, D., Dong, A., Piraveenan, M., Tumer, I. (2013). The Failure Tolerance of Mechatronic Software Systems to Random and Targeted Attacks. ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE2013), Portland: American Society of Mechanical Engineers (ASME). [More Information]
  • Uddin, M., Piraveenan, M., Chung, K., Hossain, L. (2013). Topological Analysis of Longitudinal Networks. 2013 46th Hawaii International Conference on System Sciences (HICSS-46), Los Alamitos, California: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Piraveenan, M., Chung, K., Uddin, M. (2012). Assortativity of links in directed networks. International Conference on Foundations of Computer Science (FCS 2012), Las Vegas: CSREA Press.
  • Uddin, M., Chung, K., Piraveenan, M. (2012). Capturing Actor-level Dynamics of Longitudinal Networks. 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), Los Alamitos, California: IEEE Computer Society. [More Information]
  • Chung, K., Piraveenan, M., Uddin, M. (2012). Community Evolution and Engagement through Assortative Mixing in Online Social Networks. 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), Los Alamitos, California: IEEE Computer Society. [More Information]
  • Piraveenan, M., Uddin, M., Chung, K. (2012). Measuring topological robustness of networks under sustained targeted attacks. 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), Los Alamitos, California: IEEE Computer Society. [More Information]
  • Lizier, J., Piraveenan, M., Pradhana, D., Prokopenko, M., Yaeger, L. (2011). Functional and structural topologies in evolved neural networks. 10th European Conference of Artificial Life, ECAL 2009, Berlin, Heidelberg: Springer. [More Information]
  • Piraveenan, M., Polani, D., Prokopenko, M. (2007). Emergence of Genetic Coding: An Information-Theoretic Model. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer. [More Information]
  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2007). Information-Cloning of Scale-Free Networks. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer.
  • Prokopenko, M., Piraveenan, M., Wang, P. (2005). On Convergence of Dynamic Cluster Formation in Multi-agent Networks. 8th European Conference on Artificial Life, ECAL 2005, Berlin, Germany: Springer. [More Information]
  • Piraveenan, M., Prokopenko, M., Wang, P., Price, D. (2005). On Decentralised Clustering in Self-monitoring Networks. The 4th International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS2005).
  • Piraveenan, M., Prokopenko, M., Wang, P., Price, D. (2005). Towards Adaptive Clustering in Self-monitoring Multi-agent Networks. Knowledge-Based Intelligent Information and Engineering Systems, KES20059th International Conference, KES 2005, Berlin, Germany: Springer. [More Information]

2014

  • Uddin, M., Thompson, K., Schwendimann, B., Piraveenan, M. (2014). The impact of study load on the dynamics of longitudinal email communications among students. Computers and Education, 72, 209-219. [More Information]

2013

  • Chung, K., Piraveenan, M., Levula, A., Uddin, M. (2013). Assessing Online Community-Building through Assortativity, Density and Centralization in Social Networks. 2013 46th Hawaii International Conference on System Sciences (HICSS-46), Los Alamitos, California: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]
  • Piraveenan, M., Wimalawarne, K., Kasthurirathna, D. (2013). Centrality and composition of four-node motifs in metabolic networks. Procedia Computer Science, 18, 409-418. [More Information]
  • Uddin, M., Piraveenan, M., Khan, M., Amiri, B. (2013). Conceptual quantification of the dynamicity of longitudinal social networks. ASE/IEEE International Conference on Social Computing (SocialCom), 2013, Washington D.C.: IEEE Computer Society. [More Information]
  • Kasthurirathna, D., Piraveenan, M. (2013). Cyclic Preferential Attachment in Complex Networks. Procedia Computer Science, 18, 2086-2094. [More Information]
  • Piraveenan, M., Uddin, M., Thedchanamoorthy, G. (2013). Effect of vaccination strategies on the herd immunity of growing networks. ASE/IEEE International Conference on Social Computing (SocialCom), 2013, Washington D.C.: IEEE Computer Society. [More Information]
  • Kasthurirathna, D., Piraveenan, M., Harre, M. (2013). Evolution of coordination in scale-free and small world networks under information diffusion constraints. 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), New York, NY, USA: Association for Computing Machinery (ACM). [More Information]
  • Kasthurirathna, D., Piraveenan, M., Thedchanamoorthy, G. (2013). Network robustness and topological characteristics in scale-free networks. 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), Piscataway, New Jersey, USA: IEEE. [More Information]
  • Piraveenan, M., Prokopenko, M., Hossain, L. (2013). Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks. PLoS One, 8(1), 1-14. [More Information]
  • Piraveenan, M., Uddin, M., Chung, K., Kasthurirathna, D. (2013). Quantifying encircling behaviour in complex networks. 2013 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013), USA: IEEE. [More Information]
  • Piraveenan, M., Thedchanamoorthy, G., Uddin, M., Chung, K. (2013). Quantifying topological robustness of networks under sustained targeted attacks. Social Network Analysis and Mining, 3(4), 939-952. [More Information]
  • Thedchanamoorthy, G., Piraveenan, M., Kasthurirathna, D. (2013). Standard deviations of degree differences as indicators of mixing patterns in complex networks. 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), New York, NY, USA: Association for Computing Machinery (ACM). [More Information]
  • Kasthurirathna, D., Dong, A., Piraveenan, M., Tumer, I. (2013). The Failure Tolerance of Mechatronic Software Systems to Random and Targeted Attacks. ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE2013), Portland: American Society of Mechanical Engineers (ASME). [More Information]
  • Uddin, M., Piraveenan, M., Chung, K., Hossain, L. (2013). Topological Analysis of Longitudinal Networks. 2013 46th Hawaii International Conference on System Sciences (HICSS-46), Los Alamitos, California: (IEEE) Institute of Electrical and Electronics Engineers. [More Information]

2012

  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2012). Assortative mixing in directed biological networks. IEEE - ACM Transactions on Computational Biology and Bioinformatics, 9(1), 66-78. [More Information]
  • Piraveenan, M., Chung, K., Uddin, M. (2012). Assortativity of links in directed networks. International Conference on Foundations of Computer Science (FCS 2012), Las Vegas: CSREA Press.
  • Uddin, M., Chung, K., Piraveenan, M. (2012). Capturing Actor-level Dynamics of Longitudinal Networks. 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), Los Alamitos, California: IEEE Computer Society. [More Information]
  • Chung, K., Piraveenan, M., Uddin, M. (2012). Community Evolution and Engagement through Assortative Mixing in Online Social Networks. 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), Los Alamitos, California: IEEE Computer Society. [More Information]
  • Piraveenan, M., Uddin, M., Chung, K. (2012). Measuring topological robustness of networks under sustained targeted attacks. 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), Los Alamitos, California: IEEE Computer Society. [More Information]
  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2012). On Congruity of Nodes and Assortative Information Content in Complex Networks. Networks and Heterogeneous Media, 7(3), 441-461. [More Information]

2011

  • Lizier, J., Piraveenan, M., Pradhana, D., Prokopenko, M., Yaeger, L. (2011). Functional and structural topologies in evolved neural networks. 10th European Conference of Artificial Life, ECAL 2009, Berlin, Heidelberg: Springer. [More Information]

2009

  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2009). Assortativeness and information in scale-free networks. European Physical Journal B. Condensed Matter and Complex Systems, 67(3), 291-300.
  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2009). Local assortativity and growth of Internet. European Physical Journal B. Condensed Matter and Complex Systems, 70(2), 275-285.

2008

  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2008). Local Assortativeness in Scale-Free Networks. Europhysics Letters, 84(2), 28002-p1-28002-p6.

2007

  • Piraveenan, M., Polani, D., Prokopenko, M. (2007). Emergence of Genetic Coding: An Information-Theoretic Model. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer. [More Information]
  • Piraveenan, M., Prokopenko, M., Zomaya, A. (2007). Information-Cloning of Scale-Free Networks. 9th European Conference on Artificial Life ECAL 2007, Germany: Springer.

2005

  • Prokopenko, M., Piraveenan, M., Wang, P. (2005). On Convergence of Dynamic Cluster Formation in Multi-agent Networks. 8th European Conference on Artificial Life, ECAL 2005, Berlin, Germany: Springer. [More Information]
  • Piraveenan, M., Prokopenko, M., Wang, P., Price, D. (2005). On Decentralised Clustering in Self-monitoring Networks. The 4th International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS2005).
  • Piraveenan, M., Prokopenko, M., Wang, P., Price, D. (2005). Towards Adaptive Clustering in Self-monitoring Multi-agent Networks. Knowledge-Based Intelligent Information and Engineering Systems, KES20059th International Conference, KES 2005, Berlin, Germany: Springer. [More Information]

For support on your academic profile contact .