Mairton Barros

José Mairton Barros da Silva Jr. Associate Senior Lecturer/Assistant Professor Division of Computer Systems Department of Information Technology Uppsala University Visiting address: Room ÅNG 104165, hus 10, Regementsvägen 10 Postal address: Box 337, 751 05, Uppsala, Sweden E-mail: mairton.barros[AT]it[DOT]uu[DOT]se

News

Biography

I am currently an Assistant Professor in the Division of Computer Systems, within the Department of Information Technology at Uppsala University, Sweden. 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.

I earned my Ph.D. degree in Electrical Engineering and Computer Science from KTH Royal Institute of Technology, Sweden, in April 2019. Subsequently, I held the role of a postdoctoral researcher at KTH Royal Institute of Technology between 2019 and 2021. Following that, I had the privilege of being a Marie Skłodowska-Curie Postdoctoral Fellow, conducting research at Princeton University within the Department of Electrical and Computer Engineering, as well as at KTH Royal Institute of Technology in the Division of Network and Systems Engineering, during the period from 2022 to 2023.

I earned my B.Sc. (Hons.) and M.Sc. degrees in Telecommunications Engineering from the http:www.ufc.br Federal University of Ceará], Brazil, in 2012 and 2014, respectively. I worked as a research engineer at the Wireless Telecommunication Research Group (GTEL), Brazil, from July 2012 to March 2015. During the autumn/winter of 2013-2014, I worked in an internship at Ericsson Research in Stockholm, Sweden. During the Spring/Fall 2018, I was a visiting researcher at Rice University in Houston, Texas, USA.

I am currently serving as the Workshops, Tutorials, & Symposia Officer for the Machine Learning For Communications Emerging Technologies Initiative (MLC-ETI). I have served as the Secretary for the Full-Duplex and Self-Interference Cancellation Emerging Technologies Initiatives (FD-ETI) between 2018-2021. I have been involved in the organization of many IEEE conferences and workshops, including co-chairing IEEE GLOBECOM 2025 SAC on MLCN, IEEE ICMLCN 2024, IEEE SECON 2022-2023 and IEEE GLOBECOM Workshop on Wireless Communications for Distributed Intelligence 2022-2023. I gave several tutorials at several IEEE flagship conferences, including ICASSP, PIMRC, ICC, and GLOBECOM.

Research

My current research interests include

• Federated learning

• Communication efficiency for distributed learning

• Vehicular communications

• Machine learning-driven mobile networks

Selected publications

1. Fco. R. V. Guimarães, José Mairton B. da Silva Jr., C. C. Cavalcante, G. Fodor, M. Bengtsson and C. Fischione, "Machine Learning for Spectrum Sharing: A Survey", NOW Foundations and Trends® in Networking, Vol. 14: No. 1-2, pp 1-159, Nov. 2024.

2. M. Raftopoulou, José Mairton B. da Silva Jr., R. Litjens, H. V. Poor, P. V. Mieghem, "Agent Selection Framework for Federated Learning in Resource-Constrained Wireless Networks", IEEE Transactions on Machine Learning in Communications and Networking, vol. 2, pp. 1265-1282, Aug. 2024.

3. S. Razavikia, José Mairton B. da Silva Jr., C. Fischione, "ChannelComp: A General Method for Computation by Communications", IEEE Transactions on Communications, vol. 72, no. 2, pp. 692-706, Feb. 2024.

4. S. Kant, José Mairton B. da Silva Jr., G. Fodor, B. Göransson, M. Bengtsson, and C. Fischione, "Federated Learning Using Three-Operator ADMM", accepted to the IEEE Journal of Selected Topics in Signal Processing - Special Issue on Distributed Signal Processing for Edge Learning in B5G IoT Networks, vol. 17, no. 1, pp. 205-221, Jan. 2023.

5. H. Hellström, José Mairton B. da Silva Jr., M. M. Amiri, M. Chen, V. Fodor, H. V. Poor and C. Fischione, "Wireless for Machine Learning: A Survey", NOW Foundations and Trends in Signal Processing, vol. 15, no. 4, pp 290-399, June 2022.

6. José Mairton B. da Silva Jr., K. Ntougias, I. Krikidis, G. Fodor and C. Fischione, "Simultaneous Wireless Information and Power Transfer for Federated Learning", IEEE SPAWC’21 - Special Session on Wireless for Machine Learning, Sep. 2021.
   

7. José Mairton B. da Silva Jr., H. Ghauch, G. Fodor, M. Skoglund and C. Fischione, "Smart Antenna Assignment is Essential in Full-Duplex Communications", IEEE Transactions on Communications, vol. 69, no. 5, pp. 3450-3466, May 2021.
   

8. José Mairton B. da Silva Jr., G. Wikström, R. K. Mungara and C. Fischione, "Full-Duplex and Dynamic-TDD: Pushing the Limits of Spectrum Reuse in Multi-Cell Communications", IEEE Wireless Communications - Special Issue on Full Duplex Communications Theory, Standardization and Practice, vol. 28, no. 1, pp. 44-50, Feb. 2021.
   

9. José Mairton B. da Silva Jr., C. Skouroumounis, I. Krikidis, G. Fodor, C. Fischione “Energy Efficient Full-Duplex Networks”. In: H. Suraweera, J. Yang, A. Zappone, and J. S. Thompson. "Green Communications for Energy-Efficient Wireless Systems and Networks". The Institution of Engineering and Technology (IET), Nov. 2020.
   

10. José Mairton B. da Silva Jr., A. Sabharwal, G. Fodor and C. Fischione, "1-bit Phase Shifters for Large-Antenna Full-Duplex mmWave Communications", IEEE Transactions on Wireless Communications, vol. 19, no. 10, pp. 6916-6931, Oct. 2020. Code on GitHub.
    

11. José Mairton B. da Silva Jr., G. Fodor and C. Fischione, "Fast-Lipschitz Power Control and User-Frequency Assignment in Full-Duplex Cellular Networks", IEEE Transactions on Wireless Communications, vol. 16, no. 10, pp. 6672-6687, Oct. 2017.
    

12. José Mairton B. da Silva Jr., G. Fodor and C. Fischione, "Spectral Efficient and Fair User Pairing for Full-Duplex Communication in Cellular Networks", IEEE Transactions on Wireless Communications, vol. 15, no. 11, pp. 7578-7593, Nov. 2016.
    

For more information, please see the Publications page.