Mairton Barros

News

April 2023: I am starting as Assistant Professor in the Division of Computer Systems at Uppsala University
March 2023: Our FLASH project has appeared in the KTH Researcher's Noticeboard
February 2023: Our journal paper entitled "Leakage Detection in Water Distribution Networks using Machine-Learning Strategies" has been accepted to IWA Water Supply
January 2023: Our conference paper entitled "Computing Functions Over-the-Air Using Digital Modulations" has been accepted to IEEE ICC’23
December 2022: I will be the Poster Chair for the IEEE International Conference on Sensing, Communication, and Networking (IEEE SECON) 2023
November 2022: I will give a talk on Wireless for Machine Learning: Fundamentals and Applications at IEEE Workshop on Communication Networks and Power Systems 2022 (WCNPS 2022)
November 2022: Our journal paper "Federated Learning Using Three-Operator ADMM" has been accepted to the IEEE Journal of Selected Topics in Signal Processing - Special Issue on Distributed Signal Processing for Edge Learning in B5G IoT Networks
August 2022: Our conference papers, "Blind Asynchronous Over-the-Air Federated Edge Learning" and "A-LAQ: Adaptive Lazily Aggregated Quantized Gradient", have been accepted to IEEE GLOBECOM’22 Workshop on Edge Learning over 5G Mobile Networks and Beyond
July 2022: Our tutorial on Wireless for Machine Learning has been accepted to IEEE GLOBECOM’22
June 2022: Our work entitled "Wireless for Machine Learning: A Survey" has been published in the NOW Foundations and Trends in Signal Processing. It is freely available in our ResearchGate
May 2022: I received a grant from the Ericsson Research Foundation
May 2022: I will give a tutorial on Wireless for Machine Learning at IEEE ICC’22
April 2022: I will be the co-chair in the IEEE GLOBECOM Workshop on Wireless Communications for Distributed Intelligence
April 2022: I will teach the course on Machine Learning in Production for the KTH-Ericsson Data Science Micro Degree Program
March 2022: I received the prestigious Marie Skłodowska-Curie Fellowship, in support of my postdoctoral research at Princeton University, USA, and KTH Royal Institute of Technology, Sweden, between 2022-2025
March 2022: I will be the Virtual Arrangements Chair for the IEEE International Conference on Sensing, Communication, and Networking (IEEE SECON) 2022

Biography

He is currently a Marie Skłodowska-Curie Postdoctoral Fellow at Princeton University in the Department of Electrical and Computer Engineering, and at KTH Royal Institute of Technology in the Division of Network and Systems Engineering. He has served as the Secretary for the Full-Duplex and Self-Interference Cancellation Emerging Technologies Initiatives (FD-ETI) between 2018-2021. He gave several tutorials on “Wireless for Machine Learning” at several flagship conferences sponsored by the IEEE Communications Society, such as IEEE ICASSP’21, IEEE PIMRC’21, IEEE GLOBECOM’21, IEEE ICC’22, and IEEE GLOBECOM’22.

He received the Ph.D. degree in Electrical Engineering and Computer Science from KTH Royal Institute of Technology, Stockholm, Sweden, in April 2019 under the supervision of Carlo Fischione and Gábor Fodor. He received the BSc (with honors) and MSc degree in Telecommunications Engineering from the Federal University of Ceará, Fortaleza, Brazil, in 2012 and 2014, respectively. He 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, he worked in an internship at Ericsson Research in Stockholm, Sweden. During the Spring/Fall 2018, he was a visiting researcher at Rice University in Houston, Texas, USA. He was a Postdoctoral Researcher with the KTH Royal Institute of Technology from April 2019 to April 2022. During the Spring 2022, he was a Visiting Researcher Fellow with Princeton University, USA.

Selected publications

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.

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.

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.

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.

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.

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.

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.

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.