marcio:home [2020/06/28 22:45] argollo |
marcio:home [2020/06/28 23:09] (atual) argollo |

| * Visiting Professor (Jan. 05 - Aug. 05), UFF, Rio de Janeiro, Brazil.\\ | | * Visiting Professor (Jan. 05 - Aug. 05), UFF, Rio de Janeiro, Brazil.\\ |

| * Associate Professor (Dec. 06- ), [[http://www.if.uff.br |IF-UFF]], Rio de Janeiro, Brazil | | * Associate Professor (Dec. 06- ), [[http://www.if.uff.br |IF-UFF]], Rio de Janeiro, Brazil |

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- | ===== Research ===== | |

- | I have been introduced to the fascinating field of statistical mechanics of complex systems at the beginning of my undergrad years. I have learned many interesting problems like the traveling salesman problem, memory storage and retrieval in attractor neural networks, complex networks and other biologically-inspired problems. Some of these studies resulted in [[http://scholar.google.com/citations?user=hdWhavkAAAAJ|publications]]. | |

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- | The key ideas and tools to study such phenomena are the concepts of universality and the statistical analysis of toy models. | |

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| You can find my CV [[http://lattes.cnpq.br/2172046254229187|here]]. | | You can find my CV [[http://lattes.cnpq.br/2172046254229187|here]]. |

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- | **I take part in **a **team effort developing [[http://pseudomonas**.**procc.fiocruz.br|a computational model for Pseudomonas aeruginosa]]**, **a multi-drug resistant pathogen associated **with **a broad spectrum **of **infections in humans**. **My focus is on **the **reconstruction **of **its metabolic **network. | + | **During my MSc years we developed **a **strategy to increase pattern recognition in attractor neural networks**. **The idea was to reduce the similarity of memories**, **replacing each one **with **the pattern resulting from successive iterations **of **a (pseudo)chaotic cellular automaton rule**. **We also proposed a new dynamics that improved **the **Hopfield-Tank approach for solving the traveling salesman problem. Advantages **of **a neural-**network **implementation of the latter problem are their direct in-silico and optical implementations**. |

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| + | My PhD thesis is divided in two parts. One deals with small-world networks, their geometric properties and the critical behavior of the average shortest-path length near zero addition of long-range bonds. We prove that the transition from regular to random behavior is first order. On the second part of the thesis nonequilibrium phase transitions are studied. We define a lattice model of structural rigidity and a translation of the latter problem into a reaction-diffusion one, finding numerical estimates of the set of critical exponents of the model. |

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| + | ===== Research ===== |

| + | I have been introduced to the fascinating field of statistical mechanics of complex systems at the beginning of my undergrad years. I have learned many interesting problems like the traveling salesman problem, memory storage and retrieval in attractor neural networks, complex networks and other biologically-inspired problems. |

| | | |

- | **During my MSc years we developed a strategy to increase pattern recognition in attractor neural networks. The idea was to reduce the similarity **of **memories, replacing each one with the pattern resulting from successive iterations of a (pseudo)chaotic cellular automaton rule. We also proposed a new dynamics that improved the Hopfield-Tank approach for solving the traveling salesman problem. Advantages of a neural-network implementation of the latter problem are their direct **in**-silico and optical implementations**.** ** | + | **Some **of **these studies resulted **in **[[http://scholar**.**google**.**com/citations?user=hdWhavkAAAAJ|publications]]**. |

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- | **My PhD thesis is divided in two parts**. **One deals with small-world networks, their geometric properties and the critical behavior of the average shortest-path length near zero addition of long-range bonds. We prove that the transition from regular to random behavior is first order. On the second part of the thesis nonequilibrium phase transitions are studied. We define a lattice model of structural rigidity and a translation of the latter problem into a reaction-diffusion one, findind numerical estimates of the set of critical exponents of the model**. | + | |

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| + | Currently, I take part in a team effort developing [[http://pseudomonas.procc.fiocruz.br|a computational model for Pseudomonas aeruginosa]], a multi-drug resistant pathogen associated with a broad spectrum of infections in humans. My focus is on the reconstruction of its metabolic network. |

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| ===== Teaching ===== | | ===== Teaching ===== |