Summary
Francisco Souza is a Professor and PhD researcher in Computer Science with eight years of experience applying search-based software engineering and metaheuristics to practical problems such as software testing, requirements engineering, agile team allocation, vehicle routing, and game optimization. He has deep hands-on expertise in hill climbing, tabu search, simulated annealing, genetic algorithms, and particle swarm optimization, and is a proficient Python programmer. Based in Paraná, Brazil, he combines academic roles at UTFPR and research positions (including postdoc work at USP and UFAL) with applied projects at NEES, bridging theory and real-world applications. Unusually for an academic, he regularly tackles diverse optimization domains beyond core software testing, from logistics to game victory strategies, demonstrating adaptable problem-solving skills across contexts.
8 years of coding experience
Research Scholar, Computer Software Engineering, Research Scholar, Computer Software Engineering at University of Luxembourg
Mestrado, Artificial Intelligence, Mestrado, Artificial Intelligence at Universidade Federal de Pernambuco
Doutorado em Ciência da Computação, Teste de Software e Inteligência Artificial, Doutorado em Ciência da Computação, Teste de Software e Inteligência Artificial at Universidade de São Paulo / USP
English