Felipe S. Abrahão
Scholar

Felipe S. Abrahão

Google Scholar ID: y0s58WwAAAAJ
Centre for Logic, Epistemology and the History of Science, University of Campinas
Information TheoryTheory of ComputationMathematical LogicComplex SystemsEpistemology
Citations & Impact
All-time
Citations
241
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
0
 
Contact
Resume (English only)
Academic Achievements
  • No specific publications, awards, or other academic achievements listed.
Research Experience
  • No direct mention of work experience or positions held.
Education
  • Bachelor's degree in Mathematics from the Federal University of Rio de Janeiro (UFRJ), Brazil. Doctorate and Master's degrees from the interdisciplinary graduate program in Sciences, History of Sciences and Techniques, and Epistemology (HCTE) at the Center for Mathematical and Natural Sciences (CCMN), UFRJ. Supervisors included: Hector Zenil (academic visitor at Oxford Immune Algorithmics, UK), Ítala Maria Loffredo D'Ottaviano (postdoc at UNICAMP), Artur Ziviani (postdoc at LNCC), Gregory Chaitin (doctorate advisor at UFRJ), Francisco Antônio Dória (master's and doctorate advisor at UFRJ), and Adilson Gonçalves (bachelor's advisor at UFRJ).
Background
  • Research interests include the fundamental properties and limits of computation, information, and networks, and their impact on both societal and technological aspects. Specifically, based on theoretical computer science, mathematical logic, information theory, network science, and complex systems science, his research aims to explore these fundamental properties and limitations in formal knowledge construction, foundational mathematics, data science, artificial intelligence, and networked complex systems. He is interested in developing new unifying theories for formal knowledge discovery from complex systems and cybernetics; creating new distributed computation models and architectures; and developing new methods in computational analysis of arbitrarily large data sets. He also applies these results to decentralized autonomous organizations, such as social network policies and cryptocurrency architectures and protocols, to monitor and quantify meta-relational structures of dominance and biases.
Miscellany
  • Primary areas of expertise include theory of computation, mathematical logic, information theories, complex systems science, complex networks theory, and epistemology. Secondary fields include philosophy of mathematics, artificial intelligence, and biology.
Co-authors
0 total
Co-authors: 0 (list not available)