Scholar
Anderson da Silva Soares
Google Scholar ID: fDg7K88AAAAJ
Deep Learning Brazil at Federal University of Goias.
Citations & Impact
Citations
828
H-index
16
i10-index
25
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Best Conference Papers in 2015 for 'Node-Depth Encoding with Recombination for Multi-Objective Evolutionary Algorithm to Solve Loss Reduction Problem in Large-scale Distribution Systems' at IEEE Power & Energy Society General Meeting; The Best-Five Papers Of Electronics Letters 50th Edition, Highlighted In Its Cover in 2014; Second Place in Theses and Dissertations Competition in Computer Architecture and High Performance Computing (Advisor of Lauro Cássio Martins de Paula) by Brazilian Computer Society in 2014; Honorable Mention for guest paper for publication in International Journal of Natural Computing Research (Referring to the Best Work of the 3rd Evolutionary Computation Luso-Brazilian School) in 2012; Panel Awarded at Annual Meeting of the Brazilian Society of Chemistry in 2008; Scientific Initiation project 'Tower of Hanoi' in 2004.
Research Experience
- Currently a Full Professor at the Graduate School of Computer Sciences, Federal University of Goiás since 2011; Head of the Artificial Intelligence Center of Excellence (Cientific and Business Manager) since 2019; Head of the Undergraduate course in Artificial Intelligence since 2019; Head of Deep Learning Brazil Lab since 2015; Co-Head of computer science doctoral program at Federal University of Goiás from 2014 to 2016; Editorial Board Member of Journal of Computer Science since 2015.
Education
- Ph.D. in Electronic and Computer Engineering from Technological Institute of Aeronautics (ITA) in 2010; Sc.M. in Electrical Engineering from University of São Paulo in 2007; B.A. (with Honors) in Computer Engineering from Pontifical Catholic University of Goiás in 2005.
Background
- Manager at the Artificial Intelligence Center of Excellence and Brazilian representative at the Global Partnership on Artificial Intelligence (GPAI). Innovation career with sound academic background (cum laude) and distinguished experience in top-tier projects with private companies. Recent advances in Artificial Intelligence have created unprecedented business opportunities where I have been leading innovation projects for energy, health, retail, logistics, security, and others.
Miscellany
- Main focus is on real-world problems where computational intelligence can improve people's lives.
Co-authors