José Mairton Barros da Silva Júnior

Associate senior lecturer/Assistant Professor at Department of Information Technology; Division of Computer Systems

Telephone:
+46 18 471 12 27
E-mail:
mairton.barros@it.uu.se
Visiting address:
Hus 10, Regementsvägen 10
Postal address:
Box 337
751 05 UPPSALA

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ORCID:
0000-0002-4503-4242

Short presentation

I am currently an Assistant Professor in the Division of Computer Systems at Uppsala University in Sweden. I am part of the Emerging Systems (ECoS) research group. My research interests include mathematical optimization and learning for future wireless networks, specifically federated learning over vehicular networks, machine learning driven mobile networks, and communication efficiency for distributed learning.

Check my Personal Webpage and Google Scholar for more info.

Keywords

  • wireless communications
  • machine learning
  • optimization
  • federated machine learning
  • distributed machine learning
  • wireless networks and communications
  • distributed optimization
  • 6g

Biography

I am currently an Assistant Professor in the Division of Computer Systems at Uppsala University, Sweden. I am part of the Emerging Systems (ECoS) research group. My current research focuses on mathematical optimization and learning for future wireless networks, specifically federated learning over vehicular networks, machine learning driven mobile networks, and communication efficiency for distributed learning.

In 2019, I earned a Ph.D. degree in Electrical Engineering and Computer Science from KTH Royal Institute of Technology in Stockholm, Sweden. Prior to that, I earned a BSc (with honors) and an MSc in Teleinformatics Engineering from the Federal University of Ceará in 2012 and 2014, respectively. I worked as a research engineer at the Wireless Telecommunication Research Group (GTEL) in Fortaleza from July 2012 to March 2015. During the autumn/winter of 2013–2014, I completed an internship at Ericsson Research in Stockholm, Sweden. In Spring/Fall 2018, I was a visiting researcher at Rice University in Houston, Texas, USA. From 2019 to 2021, I worked as a Postdoctoral Researcher with the KTH Royal Institute of Technology. Between 2022 and 2023, I held a Marie Skłodowska-Curie Postdoctoral Fellowship at Princeton University in the Department of Electrical and Computer Engineering, USA, and at KTH Royal Institute of Technology in the Division of Network and Systems Engineering.

I currently serve as the Workshops, Tutorials, & Symposia Officer of the IEEE Communications Society Emerging Technology Initiative on Machine Learning for Communications. From 2018 to 2021, I served as Secretary for the Full-Duplex Wireless Communications Emerging Technologies Initiatives (FD-ETI), created by IEEE Communications Society to promote full-duplex communications. Additionally, I have been actively involved in the organization of several IEEE international conferences and workshops, including serving as co-chair for GLOBECOM 2025, ICMLCN 2024, and SECON 2022–2023. I presented several tutorials on "Wireless for Machine Learning" at several flagship conferences sponsored by the IEEE Communications Society, including IEEE ICASSP, IEEE PIMRC, IEEE GLOBECOM, and IEEE ICC. In 2021, I was recognized as an Exemplary Reviewer for the IEEE Open Journal of the Communications Society.

José Mairton Barros da Silva Júnior

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