Daniel Fernandes Macedo
Professor (professor associado II)
Computer Science Department
Universidade Federal de Minas Gerais
Linkedin - Google Scholar - Lattes - DBLP - ResearchGate - ORCID
Daniel F. Macedo is Professor Associado II (equivalent to the Professor level in the US) in the Computer Science Department (DCC) in Federal University of Minas Gerais (UFMG), Brazil. He holds the CNPq research productivity scholarship level 2, a scholarship granted to the most performing researchers in Brazilian academia. He was a post-doc researcher in UFMG, Brazil. He holds a PhD in computer science from Université Pierre et Marie Curie-ParisVI. He also holds a M.Sc and a B.Sc. in Computer Science from Federal University of Minas Gerais (UFMG). His main research interests are intelligent control, applications of machine learning in networking, wireless networks, ad hoc and sensor network, network management, Delay-tolerant networking, software-defined networking, Internet of Things, autonomic computing and network security.
For an up-to-date list of publications, please check my profile in Lattes (in portuguese) or in Google Scholar.
Selected projects
MoReLit - Remote monitoring of transmission lines using sensor networks
CNPq SANS - AI-based network management for softwarized networks
Teaching and academic supervision
Courses taught: I teach undergraduate courses in computer networking, computer architecture as well as project-based development of innovative solutions (using business model canvas and sprint techniques for fast prototyping).
Academic supervisions: I currently supervise masters and PhD students in Computer Science in the topics of interest listed above. Please send me an e-mail if you would like to know more. I also supervise graduate students willing to pursue an academic project or an innovation project.