About Me

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, especially related to large antenna systems. 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. I am now working on the near-field communications.

During my Ph.D., I have published 3 IEEE Transactions, 1 IEEE JSAC, 1 IEEE wireless communication letter, 7 IEEE conference papers, and 1 US patent. I'm participating in a research project for developing a test-bed for a beyond 5G NR massive MIMO receiver at The University of Sydney. I'm a Research Training Program (RTP) international scholarship awardee. I tutored Wireless Engineering, Communications, Practical Introduction to Electrical Engineering, and Digital Signal Processing for undergraduate and master students.

Email: kosasih@kth.se