Victor Landassuri
Hi, welcome to my web page !!!
I come from Mexico and I am studying the last (4th) year of the PhD in the School of Computer Science at the University of Birmingham in UK.
My supervisor is John A. Bullinaria and the members of my thesis group are Prof. Xin Yao and Dr. Ata Kaban. The title of my thesis is Evolution of Modular Neural Networks. As a general overview, I am looking for the evolution and reuse of modules with a base-population algorithm that only uses mutations to evolve the networks. The original motivation was to investigate a way to reuse neural substructures in subsequent tasks (arriving at different times to be solved). However, during this journey, it was inevitable to find more challenging motivations like to understand of when and where modules emerge in the human brain and how they interact between them to give the functional structure it has (clearly a complete research for several years). Even that, my research is limited to the AI filed and as a collateral objectives I am just looking for information that could give us a hint of the emergence of modularity in the human brain.
My personal Interest are: Time Series Analysis and Forecasting, Evolutionary Algorithms, in particular I have some experience with Genetic and Evolutionary Programming Algorithms, Artificial Neural Networks and Modular architectures. As well I am interested in Parallel programming, Chaos and in my spare time (which is practically null at this moment) I like to read about Quantum Mechanics and the news around the Large Hadron Collider .
I come from Mexico and I am studying the last (4th) year of the PhD in the School of Computer Science at the University of Birmingham in UK.
My supervisor is John A. Bullinaria and the members of my thesis group are Prof. Xin Yao and Dr. Ata Kaban. The title of my thesis is Evolution of Modular Neural Networks. As a general overview, I am looking for the evolution and reuse of modules with a base-population algorithm that only uses mutations to evolve the networks. The original motivation was to investigate a way to reuse neural substructures in subsequent tasks (arriving at different times to be solved). However, during this journey, it was inevitable to find more challenging motivations like to understand of when and where modules emerge in the human brain and how they interact between them to give the functional structure it has (clearly a complete research for several years). Even that, my research is limited to the AI filed and as a collateral objectives I am just looking for information that could give us a hint of the emergence of modularity in the human brain.
My personal Interest are: Time Series Analysis and Forecasting, Evolutionary Algorithms, in particular I have some experience with Genetic and Evolutionary Programming Algorithms, Artificial Neural Networks and Modular architectures. As well I am interested in Parallel programming, Chaos and in my spare time (which is practically null at this moment) I like to read about Quantum Mechanics and the news around the Large Hadron Collider .