Go to:
Logótipo
You are here: Start > João Oliveira

João Oliveira

Fotografia de João Gama Oliveira
Name: João Gama Oliveira Ligação à página pessoal de João Gama Oliveira
Sigla: JGO
Estado: Non active
Email Institucional: jgo@fe.up.pt
Voip: 3134

Funções

Data de Fim: 31-08-2013
Categoria: Professor Auxiliar Convidado
Professional Group: Docente
Department: Department of Engineering Physics

Apresentação Pessoal

I'm interested in a range of topics covered by the Statistical Physics of Complex Systems. In particular, my research focuses on understanding the structure, dynamics and complexity of systems (physical, biological, social, among others)* that can be represented as networks, i.e. whose fundamental feature is the connectedness between its constituent elements. Some examples of the phenomena under study are:

- Structural phase transitions in networks,
- The emergence and spread of epidemics in social systems or the Internet (computer virus),
- Sequential failures in electricity distribution systems,
- Coupling and synchronization of oscillators (describing, for example, seismic events, neuronal systems and the functioning of cells regulated by cardiac pacemakers),
- Searching for information in networks (eg locate information on the WWW)
- Traffic and flow of a physical quantity, data or information on networks,
- Molecular processes at the cellular level (cellular metabolism or interactions and protein folding).


This interdisciplinary field is often called Network Science and uses methods from graph theory (mathematics), statistical mechanics (physics), data mining (computer science), social structure (sociology), among others. Currently my approach to these phenomena is mainly theoretical (computational and analytical), although I have also used empirical approaches in the past.

ResearcherID : 
http://www.researcherid.com/rid/H-3256-2012

Google Scholar profile : http://scholar.google.com/citations?user=1Atij5cAAAAJ

* Examples include communication networks (Internet, WWW, telephone, email networks, road networks, airlines), biological networks (protein interaction networks, networks of metabolic reactions, gene-regulatory networks, neural networks, ecosystems), social (acquaintance networks, online social networks, networks of co-authorship of publications), technological networks (power or water supply networks).

-

Áreas de Interesse

  1. Physical sciences
  2. Physical sciences > Physics > Statistical physics
  3. Physical sciences > Physics > Computational physics
  4. Physical sciences > Physics > Biophysics
  5. Physical sciences > Mathematics > Chaos theory
  6. Social sciences > Sociology > Societal behaviour
Recommend this page Top
Copyright 1996-2025 © Faculdade de Engenharia da Universidade do Porto  I Terms and Conditions  I Accessibility  I Index A-Z  I Guest Book
Page generated on: 2025-07-14 at 08:38:30 | Acceptable Use Policy | Data Protection Policy | Complaint Portal