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marcio:home [2019/04/04 00:30]
argollo
marcio:home [2020/06/28 23:09] (atual)
argollo
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 * 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
- 
-===== 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 their emergence in nature and others. Some of these studies resulted in [[ marcio:publications | publications ]] (Citations can be found at Web of Science with search entry //de menezes ma OR demenezes ma OR de menezes maf// or at [[http://scholar.google.com/citations?user=hdWhavkAAAAJ|Google scholar]]). 
You can find my CV [[http://lattes.cnpq.br/2172046254229187|here]]. You can find my CV [[http://lattes.cnpq.br/2172046254229187|here]].
-I have recently switched interests to the study of topology, dynamics and optimality of transportation networks. With Ernesto Galvão I am also studying some properties of formal systems, more specifically creating algorithms to find distinct grammars that generate the same language over a given alphabet. +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.
-The key ideas and tools to study such phenomena are the concepts of universality and the statistical analysis of toy models.+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.
-My latest research works were done in collaboration with +===== Research ===== 
-[[ http://www.sns.ias.edu/~vazquez | Alexei Vazquez ]] +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.
-[[ http://www.nd.edu/~alb | A.-L. Barabási ]] +
-[[ http://profs.if.uff.br/tjpp | T.J.P. Penna ]] (Msc and Phd Advisor). +
-[[ http://www.mda.cinvestav.mx/personal/moukarzel.htm | Cristian F. Moukarzel ]] (PhD Advisor) +
-[[ http://www.intelekto.com.br | A.R. Lima ]] +
- +
-I have also worked with Ronald Dickman on the study of critical phenomena in nonequilibrium systems (as an old-school guy, he does not have a webpage). +
- +
-My MSc studies concerned the use of pseudo-chaotic cellular automata as image preprocessors in attractor neural networks and the proposal of 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.+
-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. +Some of these studies resulted in [[http://scholar.google.com/citations?user=hdWhavkAAAAJ|publications]].
-You can also take a look at my list of [[ marcio:publications | publications ]]. All articles will soon be available for download.  +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.
- +
-My latest research interest is diabetes. See [[diabetes|here]] some data.+
===== Teaching ===== ===== Teaching =====
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-**From Billy Cobham's [[http://www.billycobham.com/html/index.php|personal website:]]** In 1992, Cobham was engaged by UNICEF to work with autistic outpatients and street children in the city of Santos (in São Paulo Prefecture) Brazil, in a musical project which lasted for several years.\\+**From Billy Cobham's [[http://www.billycobham.com/html/biography.php|personal website:]]** In 1992, Cobham was engaged by UNICEF to work with autistic outpatients and street children in the city of Santos (São Paulo) Brazil, in a musical project which lasted for several years.\\
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-======================================== + 
-===== Contact: =====+ 
 +==== . ==== 
 + 
<box blue> <box blue>
-Instituto de Física - Universidade Federal Fluminense\\ +Marcio Argollo Ferreira de Menezes\\ 
-Av. Gal. Milton Tavares de Souza s/nº.\\ +Instituto de Física, Universidade Federal Fluminense\\ 
-Gragoatá, Niterói, 24210-346, RJ\\ +Av. Gal. Milton Tavares de Souza s/n\\ 
-E-mail: [[marcio@if.uff.br]]\\+Niterói,RJ (24210-346)\\ 
 +E-mail: [[marcio@mail.if.uff.br]]\\
TEL: (55 21) 2629-5773\\ TEL: (55 21) 2629-5773\\
FAX: (55 21) 2629-5887\\ FAX: (55 21) 2629-5887\\
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