Alva Kosasih

I am a Postdoctoral Researcher at the KTH Royal Institute, Sweden. I'm now working with Prof. Emil Björnson in the division of communication systems, at KTH Royal, Sweden. I received B.Eng. and M.Eng. degrees in electrical engineering from Brawijaya University, Indonesia, in 2013 and 2017, respectively, an M.S. degree in communication engineering from National Sun Yat-sen University, Taiwan, in 2017, and a Ph.D. degree in Telecommunication from The University of Sydney, Australia, in 2023.

I have been working on signal processing for wireless communications. This includes designing symbol detectors using Bayesian, message passing, machine learning, and graph neural network techniques; I focused on improving the detector's reliability-complexity trade-off in various applications i.e., sparse code multiple access (2018),  extra-large scale massive MIMO (2019), massive MIMO (2020,2022), cell-free massive MIMO (2021), non-orthogonal multiple access (2022), and orthogonal time frequency space modulation system (2022). I pioneered the use of graph neural networks to enhance the performance of conventional message-passing algorithms. The novelty and contribution of the work have been acknowledged by the IEEE communication society as it has been published in IEEE Journal on Selected Area on Communication (JSAC), machine learning series 2022. Now, I am working on near-field communications.