Networking and Multimedia Research Lab

Data Science Lab

NoteOpportunities

If you’re interested in joining the LPRM group to work on Internet of Things projects, like Federated Learning, privacy and security, generative data modeling, IoT prototyping and testbeds, or future Internet and communication protocols, please email me to schedule a meeting.

Updated CV at Lattes Updated Publications at Google Scholar

Experience

Assistant professor at the Department of Computer Science (DI) and also collaborating faculty of the Graduate Program in Computer Science (PPGI).

Visiting Scholar (from Sep 2025 to Aug 2026) at the University of Torino, Italy, working with Prof. Idilio Drago in the context of Privacy and Security in Machine learning.

Member of the Intelligent Cyber-physical Systems Research line, focusing on Privacy on Internet of Things, Federated Learning, Data Science for Urban Computing, and Future Internet Applications.

BPC

Since 2024, I'm Capixaba Productivity Scholarship holder from FAPES (BPC/FAPES).

Education

• Visiting Scholar (Sep 2025 – Aug 2026), visiting researcher at the Department of Computer Science of the University of Torino, Italy, working with Prof. Idilio Drago in the context of Privacy and Security in Machine learning. CNPq PDE Scholarship.
• Postdoctoral researcher (2016), UFMG — Device-to-Device (D2D) communication with the Wireless Network Group. CNPq PDJ Scholarship.
• Ph.D. in Computer Science (2015), Universidade Federal de Minas Gerais (UFMG) — advised by Prof. José Marcos Silva Nogueira and Prof. Daniel Macedo. [Thesis]
  • International jointly Ph.D., Université Paris-Est — advised by Prof. Yacine Ghamri-Doudane.
• Master in Computer Science (2009), Universidade Federal de Minas Gerais (UFMG) — advised by Prof. José Marcos Silva Nogueira.
• Bachelor in Computer Science (2007), Universidade Federal de Ouro Preto (UFOP).

Research Interests

My research interests are:

• Security and Privacy on AI and Internet of Things
  • Privacy Techniques for sharing sensitive IoT datasets
  • Federated Learning
  • Generative Time Series
  • Model attacks and defenses
  • Privacy–utility tradeoff over AI models.
• Data Science for Smart Cities
  • Urban Computing
  • Mobility prediction and characterization
  • Crowdsensing (humans as mobile sensors)
  • User behavior/traffic characterization on mobile networks
  • Internet of Things (Data aggregation & data Analysis)
• Future Internet Applications and Wireless communication
  • 6G and next generation of mobile networks
  • Device-to-Device (D2D) and Machine-to-Machine (M2M) communication
  • Wireless technologies for Internet of Things (transport and communication protocols, e.g., LoRa, NB-IoT, Zigbee)
  • Software Defined Networks (SDN)

Recent Activities