January 2024: I was part of a PhD Thesis Grading Committee for Diego P. Sousa at Federal University of Ceara (UFC), Brazil
January 2024: I will be the Track Co-Chair for the IEEE GLOBECOM 2025 - Selected Areas on Communication in Machine Learning for Communications and Networking
October 2023: Our conference paper titled “Subband Full Duplex for New Radio: Challenges, Solutions and Performance” has been accepted to Asilomar Conference on Signals, Systems, and Computers, Oct., 2023
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 optimization and learning for future wireless networks, specifically federated learning, vehicular communications, communication efficiency for distributed learning, and full-duplex communications.
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 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 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
(Non)Convex optimization
Selected publications
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.
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., 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.