Alexandru TOPÎRCEANU

Picture of my face smiling
Poziţie academică
Şef lucrări
Grad
Dr. Ing.
Contact birou
  Sala B520
 
(256 40) 3278
  alexandru.topirceanu (at) cs.upt.ro

Cercetare

Domenii de cercetare
Interese de cercetare
  • Network Science - study of emergent phenomena as dynamical networked systems to create predictive models
    Social Networks Analysis - analysis of formation and evolution of social ties in terms of graph theory and physical statistics
    Network Medicine - modeling clinical and pharmacological data for phenotyping, pattern recognition, diagnosis improvement
    Gamification - study of the social and psychological aspects which drive the motivation of people (especially students)

Selecţie publicaţii

  • Topirceanu, A., Udrescu, M., Vladutiu, M. and Marculescu, R., 2016. Tolerance-based interaction: A new model targeting opinion formation and diffusion in social networks. PeerJ Computer Science, 2, p.e42.
  • Topirceanu, A., Duma, A. and Udrescu, M., 2016. Uncovering the fingerprint of online social networks using a network motif based approach. Computer Communications, 73, pp.167-175.
  • Topirceanu, A. and Udrescu, M., 2017. Statistical fidelity: a tool to quantify the similarity between multi-variable entities with application in complex networks. International Journal of Computer Mathematics, 94(9), pp.1787-1805.
  • Udrescu, L., Sbârcea, L., Topîrceanu, A., Iovanovici, A., Kurunczi, L., Bogdan, P. and Udrescu, M., 2016. Clustering drug-drug interaction networks with energy model layouts: community analysis and drug repurposing. Scientific reports, 6, p.32745
  • Mihaicuta, S., Udrescu, M., Topirceanu, A. and Udrescu, L., 2017. Network science meets respiratory medicine for OSAS phenotyping and severity prediction. PeerJ, 5, p.e3289.